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. Author manuscript; available in PMC: 2026 Jan 26.
Published in final edited form as: Science. 2025 Mar 28;387(6741):eadq8331. doi: 10.1126/science.adq8331

Leucine Aminopeptidase LyLAP enables lysosomal degradation of membrane proteins

Aakriti Jain 1, Isaac Heremans 2, Gilles Rademaker 3, Tyler C Detomasi 4, Peter Rohweder 4, Dashiell Anderson 4, Justin Zhang 1, Grace A Hernandez 3, Suprit Gupta 3, Teresa von Linde 1, Mike Lange 1,5, Martina Spacci 1, Jiayi Luo 1, Y Rose Citron 1, James A Olzmann 1,5, David W Dawson 6, Charles S Craik 4, Guido Bommer 2, Rushika M Perera 3, Roberto Zoncu 1,*
PMCID: PMC12832182  NIHMSID: NIHMS2093848  PMID: 40146846

Abstract

Breakdown of every transmembrane protein trafficked to lysosomes requires proteolysis of their hydrophobic helical transmembrane domains. Combining lysosomal proteomics with functional genomic datasets, we identified Lysosomal Leucine Aminopeptidase (LyLAP; formerly Phospholipase B Domain-Containing 1) as the hydrolase most tightly associated with elevated endocytosis. Using untargeted metabolomics and biochemical reconstitution we found that LyLAP is a processive monoaminopeptidase with preference for N-terminal leucine. This activity was required for the breakdown of hydrophobic transmembrane domains. LyLAP was upregulated in pancreatic ductal adenocarcinoma (PDA), which relies on macropinocytosis for nutrient uptake. In PDA cells, knock-down of LyLAP led to the buildup of undigested hydrophobic peptides, lysosomal membrane damage, and growth inhibition. Thus, LyLAP enables lysosomal degradation of membrane proteins, and protects lysosomal integrity in highly endocytic cancer cells.


Transmembrane proteins represent ~20–30% of the human proteome and play many essential roles such as nutrient import, signal transduction, cell adhesion and migration (14). Most transmembrane proteins are subjected to turnover by endocytic uptake and delivery to the lysosome (5, 6), where they are proteolyzed to single amino acids that are ultimately exported to the cytosol (7, 8). Lysosomal degradation of transmembrane proteins serves multiple purposes, including termination of signaling by activated receptor tyrosine kinases, remodeling of inter-cellular and cell-matrix contacts, downregulation of nutrient import (5, 913).

In the lysosomal lumen, a set of endo- and exopeptidases recognize substrate proteins via broad and often overlapping cleavage sequences (14). Degradation of membrane proteins poses a unique challenge owing to their hydrophobic, phospholipid-embedded α-helical domains that are inaccessible to endopeptidases (7). While the substrate specificity of most lysosomal proteases, such as cathepsins, has been determined, the identity of lysosomal enzymes that can degrade the hydrophobic α-helical domains spanning the lipid bilayer remains unclear.

Membrane protein turnover can be greatly accelerated by ligand-stimulated endocytosis, as well as bulk uptake processes such as phagocytosis and macropinocytosis. Pancreatic ductal adenocarcinoma (PDA) is a highly aggressive malignancy that relies on enhanced lysosomal biogenesis and activity to grow in nutrient-poor microenvironments (1517). A feature of PDA is elevated influx of extra- and intracellular macromolecular substrates that reach the lysosome through macropinocytosis and autophagy, respectively (15, 16, 18). The high macropinocytic flux of PDA cells results in increased uptake of soluble extracellular protein cargo, but also in endocytic import of membrane proteins. Bulk membrane uptake processes are increasingly viewed as quality control mechanisms for plasma membrane resident proteins (19, 20). Whether specific proteins enable lysosomes to handle the enhanced proteolytic load associated with elevated macropinocytosis and phagocytosis is unknown.

Endocytosis of extracellular cargo such as amyloids, viral and bacterial proteins, is increasingly linked to lysosomal membrane permeabilization (2127), a process in which tears in the lysosomal limiting membrane causes leakage of luminal contents into the cytosol, triggering cell death (28, 29). To counter damage, lysosomes rely on an array of repair mechanisms, such as the Endosomal Sorting Complex Required for Trafficking (ESCRT)-III, which reseal the lysosomal membrane by polymerizing on its cytoplasmic face (28, 29).

Lysosomal import of endogenous cellular cargo could also lead to damage. For example, proteolytic digestion of integral membrane proteins releases hydrophobic α-helical domains that, if not efficiently degraded, could intercalate in the lysosomal membrane and compromise its stability (30). Therefore, enzymatic activities that degrade hydrophobic α-helical domains could play an important role in maintaining stability of the lysosomal limiting membrane.

LyLAP is enriched in highly endocytic cells and is required for PDA growth.

To discover factors that enable lysosomes to sustain high endocytic flux, we devised a bioinformatic pipeline that accounts for the high phagocytic and macropinocytic activity of immune cells and PDA cells, respectively (Fig. 1A).

Fig. 1. LyLAP is a highly enriched lysosomal hydrolase required for PDA growth.

Fig. 1.

(A) Bioinformatic pipeline combining functional genomics screens for endocytosis regulators and transcriptomics in immune cells with lysosomal proteomic profiling from 8988T (PDA) versus HPDE (non-PDA) cells and patient survival data from cancer-associated lysosomal hydrolases. (B) Log2-fold change in protein abundance from 8988T versus HPDE cells from lysosomal proteomics analysis of the 16 hydrolases identified by the pipeline in (A). (C) Network diagram of manually curated functional annotations (from KEGG) of the 16 lysosomal hydrolases identified by expression and prognostic outcome. (D-F) LyLAP mRNA expression from PDA tumors (T) versus non-tumoral adjacent pancreatic tissue (N) from patient tumor gene expression datasets. Data from Gene Expression Omnibus. (G) Immunohistochemical staining of LyLAP expression in patient tumor microarrays of normal pancreas (left), PDA (middle), lymph node metastasis (right). Scale bars, 100 μm. (H) Pathologist-assigned histoscore of LyLAP expression in normal pancreas (N), PDAC tumor (T), and lymph node metastasis (M). (I) Representative images of colony formation assays from ASPC1, MiaPaCa-2, and KP4 PDA cell lines upon LyLAP knock-down (LyLAP-KD) by shRNA. (J) Quantification of colony formation (I) to assess relative viability of ASPC1, MiaPaCa-2 and KP4 cells upon LyLAP-KD. Data normalized to the shLuciferase (shLuc) control of each respective cell line. (K) Representative images of spheroid formation assay in MiaPaCa-2 and KP4 cells following LyLAP-KD by shRNAs compared to shLuc control. Scale bars, 100 μm. (L) Quantification of spheroids in (K). Data normalized to the shLuc control of each respective cell line. Data are shown as mean ± SD. Comparison of groups carried out using two-tailed, unpaired t-test (D-F) and two-way ANOVA (J and L). ****p<0.0001.

First, we extracted a list of genes required for phagocytosis or for targeted degradation of membrane proteins from four independent CRISPR-Cas9 screens, and ranked them based on their expression levels in immune cells (Fig. S1A-S1C) (3135). In parallel, we carried out lysosomal immunoisolation and proteomic profiling from Pa-Tu 8988T (PDA) and HPDE (non-transformed counterparts) cells expressing a lysosomal affinity tag (3638), which revealed hydrolases as the most differentially enriched category in PDA versus non-cancer lysosomes (Fig. S1D-S1E). We then ranked PDA-enriched lysosomal hydrolases based on their association with poor prognostic outcome (Fig. 1B and S1F). Merging the two analyses yielded Phospholipase B Domain-Containing 1 (PLBD1), a putative lysosomal hydrolase, as the top-ranking hit in both PDA and phagocytic cells (Fig. 1A, 1B, S1A-S1F). Given the pro-tumorigenic role of the lysosome in PDA, and the prospect of identifying novel druggable targets in this organelle (3942), we decided to further characterize PLBD1 in the context of PDA.

Despite being annotated as a phospholipase, the enzymatic function of PLBD1 has not been firmly established (43, 44). Accordingly, network analysis of the PDA-specific hydrolases based on Kyoto Encyclopedia of Genes and Genomes (KEGG) linked 15 out of the 16 hydrolases to annotated functions but, notably, left PLBD1 unassociated (Fig. 1C). For reasons described later, we henceforth refer to PLBD1 as Lysosomal Leucine Aminopeptidase (LyLAP).

Across a panel of 1019 cancer cell lines spanning 26 different cancer types, LyLAP had the highest expression score in PDA, with lesser degree of enrichment in other gastrointestinal (GI) tract malignancies (Fig. S1G). In contrast, none of the other 15 hydrolases displayed a comparable enrichment pattern (Fig. S1G). Compared to non-transformed pancreatic cells (HPDE) as well as commonly used immortalized cell lines, LyLAP was significantly upregulated in a panel of 11 PDA cell lines by quantitative PCR (qPCR) (Fig. S1H). Consistent with this finding, LyLAP was transcriptionally upregulated in patient biopsies compared to normal adjacent tissues (Fig. 1D1F). Moreover, immunohistochemical analysis in patient-derived tumor microarrays showed increased LyLAP expression in primary (ductal) tumor tissue, as well as in lymph node metastases compared to normal pancreatic tissues (Fig. 1G, 1H). As mentioned above, elevated LyLAP expression was associated with poor survival of PDA patients (Fig. S1I).

We next investigated the mechanism of LyLAP upregulation in PDA. The MiT/TFE transcription factors (e.g., TFEB and TFE3) are key regulators of the lysosome-autophagy pathway and are constitutively active in pancreatic cancer, driving enhanced lysosomal gene expression (16). We identified a potential MiT/TFE CLEAR motif 279 bp upstream of the LyLAP gene (Fig. S2A) and observed LyLAP upregulation in HEK293 cells upon TFEB overexpression, consistent with validated TFEB targets (Fig. S2B) (45). Acute knockdown of TFE3, the most highly expressed MiT/TFE factor in KP4 and 8988T cells, reduced LyLAP mRNA levels along with known TFE3 target genes (Fig. S2C-S2F). Thus, MiT/TFE factors help drive LyLAP expression in PDA.

The elevated expression and negative survival correlation of LyLAP suggested a role for this protein in PDA growth. To test this possibility, we depleted LyLAP using two independent small-hairpin RNAs (shRNAs) that achieved up to 95% knockdown at the mRNA level (Fig. S3A) and undetectable protein levels in lysosomal immunoprecipitates (Fig. S3B). LyLAP depletion in multiple PDA lines led to pronounced growth inhibition in both 2D and 3D growth assays (Fig. 1I1L, S3C). In contrast, non-transformed pancreatic cells (HPDE) as well as commonly used immortalized cell lines, both of which expressed low levels of LyLAP, were not significantly affected by LyLAP-targeting shRNAs (Fig. S3C). Thus, elevated expression of LyLAP predicts its requirement for PDA growth.

LyLAP loss leads to lysosomal dysfunction in PDA.

To determine the basis of PDA growth inhibition upon LyLAP depletion, and given its putative role as a lysosomal hydrolase, we examined structural and functional features of lysosomes in LyLAP-depleted cells. Transmission electron microscopy analysis of 3 independent PDA cell lines treated with LyLAP-targeting shRNAs showed the presence of multiple, grossly enlarged (between 4- to 10-fold larger diameter) lysosomal vesicles, with clear disruption of their internal structure (Fig. 2A2C). In contrast, HPDE and HEK-293T, neither of which expresses high levels of LyLAP, had no discernible changes in lysosomal morphology upon its knock-down (Fig. 2D, S4A). Similarly, immunofluorescence staining for the lysosomal marker LAMP2 showed significant lysosomal enlargement (10- to 25-fold larger area) in PDA (KP4) cell lines depleted for LyLAP, but not in control (HPDE, HEK-293T, MCF10A) cells (Fig. S4B, S4C). Moreover, LyLAP depletion exhibited the largest degree of lysosomal swelling among a subset of the 16 PDA-associated hydrolases (Fig. S4D, S4E).

Fig. 2. LyLAP depletion causes lysosomal dysfunction in PDA.

Fig. 2.

(A-D) Representative transmission electron microscopy images of lysosomes from PDA cell KP4 (A), ASPC1 (B), and MiaPaCa-2 (C) and control cells HPDE (D) following treatment with shLyLAP #1 or shLuc. Quantification of lysosomal diameter to the right of each image. Scale bars, 1 μm. (E) Set-up for untargeted lipidomics and proteomics of lysosomal immunoprecipitates from KP4 cells following treatment with the indicated shRNAs. (F) Principal component analysis (PCA) from untargeted lipidomics of KP4 lysosomal immunoprecipitates following treatment with the indicated shRNAs. QC refers to quality control pooled samples. (G) Loadings plot of PCA in (F). (H) PCA of KP4 lysosomal proteomics following treatment with indicated shRNAs and DMSO (vehicle) or BafA1 (500 nM). (I) Heatmap of autophagic adaptors fold-change in lysosomes (BafA1 vs. DMSO), treated with the indicated shRNAs. LyLAP-KD resulted in smaller differences, indicating impaired baseline proteolysis. (J, K) Representative confocal images (J) and quantification of intralysosomal pH (K) of KP4 cells expressing pHluorin-mCherry-LAMP1 following indicated shRNAs treatment. LyLAP-KD lysosomes have a pH of 6.39 ± 0.02 (shRNA #1) and 5.50 ± 0.13 (shRNA #2). BafA1 was used where indicated. Scale bars, 10 μm. (L) Activity assays for Cathepsin B (CTSB), Acid ceramidase (ASAH1), and β-galactosidase (β-Gal) in KP4 cells following shRNA treatment. Leupeptin/Pepstatin (Leu/Pep) or Carmofur fully inhibited CTSB and ASAH1, respectively. (M, N) Representative confocal images (M) and size quantification (N) of shRNA-treated KP4 cells supplemented with AF546-maleimide-labeled recombinant LyLAP (WT or C228A) and LAMP2 staining. Scale bars, 10 μm. Data are shown as mean ± SD. Comparison of groups carried out by two-tailed, unpaired t-test (A-D), two-way ANOVA (K, L), and one-way ANOVA (N). ****p<0.0001, ***p<0.001, **p<0.01. *p<0.05, ns=not significant.

Lysosomal swelling is associated with the accumulation of undegraded substrates. Indeed, lysosome immunopurification followed by untargeted lipidomic analysis revealed buildup of 650 lipid species upon LyLAP depletion (Fig. 2E2G, S5A, S5B). LyLAP depletion also caused accumulation of protein substrates, particularly of selective autophagy adaptors, which are normally degraded at high rates within the lysosome (Fig. 2E, 2H, 2I, S5C) (4648). In contrast to protein substrates, the majority of resident hydrolases were reduced to varying degrees in LyLAP-depleted lysosomes, suggesting a trafficking defect (Fig. S5D).

A major hallmark of lysosomal dysfunction is loss of luminal acidification established by the vacuolar H+-ATPase (8, 49). LyLAP-depleted KP4 cells expressing a genetically encoded lysosomal pH sensor (mCherry-pHluorin-LAMP1; RpH) (50) partially lost their lysosomal acidification, as shown by pHluorin unquenching, but to a lesser degree than with the vacuolar H+-ATPase inhibitor, Bafilomycin A1 (BafA1) (Fig. 2J, 2K, S5E). Most lysosomal hydrolases require acidic pH values (4.5–5) for maximal activity (8, 14). Consistent with both lysosomal deacidification and hydrolase depletion, the activities of multiple hydrolases, including cathepsin B, acid ceramidase, and β-galactosidase, were partially ablated in LyLAP-depleted KP4 cells, albeit to a lesser degree than using specific small-molecule inhibitors of these enzymes (Fig. 2L).

Thus, the loss of PDA cell viability stems from the severe morphological, compositional, and functional disruption of the lysosome upon LyLAP depletion. However, the pleiotropic nature of these phenotypes does not enable us to assign a molecular function to LyLAP based on these data alone.

LyLAP is proteolytically activated within lysosomes.

To identify the enzymatic function of LyLAP, we generated it recombinantly from HEK293 GnTi- cells (Fig. S6A). A previous crystal structure of bovine PLBD1/LyLAP classified it as an N-terminal nucleophile (Ntn) hydrolase (43). All Ntn-hydrolases harbor a cysteine, serine, or threonine nucleophilic residue, which cleaves amide bond-containing substrates. The same residue also mediates autocatalytic maturation of the proenzyme, by cleaving the peptide bond immediately preceding the nucleophile, resulting, in the case of LyLAP, in two domains that remain electrostatically bound (43, 51). Consistent with LyLAP being a lysosomal Ntn-hydrolase, the recombinant 65 kDa protein autocatalytically cleaved itself into an N-terminal 26.9 kDa segment and a C-terminal 43 kDa segment (Fig. S6B). Notably, autocatalytic cleavage only occurred when LyLAP was incubated at pH 4.5, strongly suggesting that this maturation step follows proenzyme delivery to the lysosome. Based on homology to the bovine structure, C228 is the nucleophilic residue in human LyLAP and, accordingly, mutating C228 to Ala blocked autocatalytic cleavage irrespective of pH (Fig. S6B).

To test whether self-activated recombinant LyLAP is functional in its native environment, we labeled it with Alexa Fluor 546 (AF546)-maleimide and added it to the media of KP4 cells, which led to LyLAP uptake and delivery to lysosomes (Fig. S6C). Recombinant wild-type LyLAP partially rescued proliferation and colony formation ability of KP4 cells treated with LyLAP-targeting shRNAs. In contrast, the catalytically dead C228A mutant failed to rescue any of the growth defects (Fig. S6D-S6F). Recombinant wild-type LyLAP, but not the C228A mutant, also rescued lysosomal enlargement caused by depletion of endogenous LyLAP (Fig. 2M, 2N). Thus, recombinantly expressed LyLAP is active when delivered to lysosomes.

To gain a complete picture of the mechanism of LyLAP activation, we compared the crystal structure of the bovine protein with the AlphaFold prediction for full-length human LyLAP (52). This comparison highlighted a 19 amino acid segment (L209-H227) in the predicted full-length protein, located proximal to catalytic C228 and potentially occluding the active site, which was missing from the mature bovine structure (Fig. S6G). We reasoned that removal of this segment via a second cleavage at its N-terminal end (L209) would be required to fully activate LyLAP.

Based on precise molecular mass determination by Matrix-Assisted Laser Desorption/Ionization-Time of Flight Mass Spectrometry (MALDI-TOF MS), combined with structural considerations, we ruled out that C228 could cleave distally at L209 (Fig. S6H-S6J). Moreover, because addition of exogenous, recombinant LyLAP to KP4 cells resulted in rescue of lysosomal morphology and partial rescue of cell growth (Fig. 2M, 2N, S6E, S6F), we reasoned that the L209 position is cleaved by a distinct lysosomal protease in trans. Indeed, when we reconstituted lysosomal immunoprecipitates from KP4 cells with self-cleavage incompetent LyLAP-C228A, we observed the production of the mature N-terminal domain of the expected molecular size (~24 kDa) (Fig. S6K-S6M). This activation step was inhibited by neutral pH and by an inhibitor of Cys/Ser/Thr cathepsin proteases, leupeptin, but not by either the aspartyl protease inhibitor, pepstatin, or the Cys protease inhibitor, E64D (Fig. S6L, S6M). Based on this result, we tested a small panel of Leupeptin-sensitive cathepsins and found that both cathepsin K and L could cleave LyLAP-C228A, whereas cathepsin B and D did not (Fig. S6N, S6O). Further confirming the dual cleavage pattern, incubation with cathepsin L shortened the N-terminal domain created by the autocatalytic cleavage of wild-type LyLAP (Fig. S6P, S6Q); this fully active, mature form of wild-type LyLAP will henceforth be referred to as LyLAPactive, whereas the cathepsin K/L-treated, catalytically inactive C228A mutant will be referred to as LyLAPdead.

Having obtained fully mature LyLAPactive, we tested whether it had phospholipase B activity, as implied by its annotation (44). Incubating LyLAPactive with C16:0/C18:1 phosphatidylcholine (16:0/18:1 PC) yielded no decrease in 16:0/18:1 PC substrate, or detectable production of the associated lysophosphatidylcholine products, irrespective of pH, as assessed by LC-MS (Fig. S7A, S7B). Because Ntn-hydrolases are amidases, we next tested whether LyLAPactive could degrade amide bond-containing lipids found in lysosomes (51, 53). However, LyLAPactive had no detectable activity against ceramides (Fig. S7C, S7D), glycosphingolipids, including glucosylceramide (Fig. S7E, S7F), galactosylceramide, and gangliosides (GM3, GD3, AsialoGM1, GM1, GD1a, GD1b, GT1b) (Fig. S7G, S7L), or bile salts (Fig. S7M, S7N).

LyLAP is a processive monoaminopeptidase for hydrophobic amino acids.

The above data showed that LyLAP is unlikely to be a lipid hydrolase. Thus, we next searched for putative non-lipid substrates using untargeted polar metabolomics (54). This analysis revealed the statistically significant accumulation of 264 metabolite features in lysosomes immunopurified from LyLAP-depleted KP4 cells (Fig. 3A, S8A, S8B). The large number of accumulated metabolites was consistent with the general lysosomal dysfunction observed upon LyLAP knockdown (Fig. 2). To distinguish direct substrates from secondarily accumulated species, we reconstituted LyLAP-depleted lysosomal lysates with LyLAPactive or LyLAPdead (as well as cathepsin L alone) (Fig. 3B). We then looked for species that accumulated upon LyLAP loss and that were selectively depleted by add-back of recombinant LyLAPactive, but not under any other condition.

Fig. 3. LyLAP is a processive monoaminopeptidase for hydrophobic amino acids.

Fig. 3.

(A) Volcano plot from untargeted metabolomic analysis of lysosomes immunoprecipitated from KP4 cells treated with shLuc or shLyLAP. Putative substrate highlighted. (B) Set-up for untargeted metabolomics of shLuc or shLyLAP KP4 lysosomal immunoprecipitates, reconstituted with recombinant LyLAP (active/dead), or CatL. (C) m/z=447.209 peak area from untargeted metabolomics (B). Data are shown as mean ± SD. Comparison of groups carried out by two-way ANOVA. ****p<0.0001, ns=not significant. (D) MS2 spectra of the peptide corresponding to TMT-derivatized m/z=447.209. (E) Heatmap of metabolites (B) accumulating upon LyLAP-KD and depleted by recombinant LyLAPactive. (F) Fold-change single amino acids shLyLAP KP4 lysosomal immunoprecipitates reconstituted with LyLAPactive or LyLAPdead. Hydrophobic amino acids marked in red. (G) ICE-logo from MSP-MS for LyLAPactive showing residue preferences (P4-P4’) for cleavage. Letter height reflects preference, with non-preference at P4-P2 indicating monoaminopeptidase activity. Logo represents cleavages from triplicates, weighted by spectral counts across timepoints. (H) (left) LyLAPactive aminopeptidase activity determined by cleavage of appropriate amino acid (AA) conjugated to AMC (substrate) to free amino acid and fluorescent AMC as products. (right) Michaelis-Menten curves of LyLAPactive activity against Leu-AMC and Ile-AMC. (I) Heatmap of normalized peptide spectral counts over time from a peptide library to assess processive LyLAPactive monoaminopeptidase activity. C-terminus sequence: KAHSDVWPYQDA. (J) (left) Processive LyLAPactive aminopeptidase activity determined by cleavage of appropriate tripeptide conjugated to AMC (substrate), to free amino acid constituents and AMC (products). (right) Michaelis-Menten curves of LyLAPactive activity against LLL-AMC and LPL-AMC.

Out of the 264 accumulated features, a single species with mass-to-charge (m/z) ratio 447.209, followed this pattern (Fig. 3C). Within the same analysis we noted, along with the disappearance of the 447.209 species, the accumulation of multiple free amino acids in the LyLAPactive -incubated samples (Fig. S8C, S8D). This observation favored the assignment of the m/z = 447.209 species as a peptide. Tandem mass tagging (TMT) followed by MS/MS analysis of the same samples identified the m/z = 447.209 species as either Leu-Asp-Thr-Thr (LDTT) or Ile-Asp-Thr-Thr (IDTT) (Fig. 3D). The TMT-MS/MS analysis also identified additional peptide species that were specifically degraded by LyLAPactive (Fig. 3E, S8E-S8I). Notably, all LyLAP-degraded peptides had either Leu or Ile at their N-termini (Fig. 3D, 3E, S8E-S8I).

We noted that Leu and Ile, found at the N-termini of the candidate substrate peptides, were also among the most enriched free amino acids upon treatment of the lysosomal lysates with LyLAPactive (Fig. 3F). This suggested that LyLAP may be a monoaminopeptidase that selectively cleaves hydrophobic amino acids from intermediate peptide products of lysosomal proteolysis. To independently test this hypothesis, we challenged recombinant LyLAPactive with a synthetic peptide library with sufficient complexity to identify consensus cleavage sites for both endo- and exopeptidases (55). Multiplexed substrate profiling-mass spectrometry (MSP-MS) of the resulting cleavage products unequivocally identified hydrophobic N-terminal amino acids, especially leucine, as the preferred cleavage sites for LyLAP, strongly supporting its hydrophobic-directed monoaminopeptidase function (Fig. 3G, S9A).

To determine the kinetic parameters of LyLAP, we carried out an in vitro cleavage assay, incubating LyLAPactive (and appropriate controls) with various amino acids C-terminally conjugated to the fluorogenic substrate, 7-amino 4-methyl coumarin (AMC), which is unquenched upon cleavage (Fig. 3H). LyLAPactive exhibited aminopeptidase activity against Leu-AMC and Ile-AMC, with kcat = 0.74 s−1 and 0.73 s−1, respectively, but a lower Km for Leu versus Ile (13.1 μM versus 32.4 μM, respectively), consistent with the MSP-MS analysis, at a pH optimum of 4 (Fig. 3H, S9B-S9D). Consistent with the untargeted metabolomics result (Fig. 3F), LyLAP did not cleave Pro-AMC and Gly-AMC (Fig. S9E, S9F).

Several LyLAP peptide substrates from the untargeted metabolomics (Fig. 3E, S8E-S8G) and MSP-MS analysis (Fig. S9A) contained two or more consecutive hydrophobic residues at their N-termini. Thus, we next asked whether the monoaminopeptidase activity of LyLAP could be processive, enabling complete degradation of hydrophobic N-terminal stretches in substrate peptides. We challenged recombinant LyLAPactive with a synthetic 15-mer peptide library, in which the N-terminal Leu is followed by a combination of any two hydrophobic amino acids (Leu, Met, Phe, and Trp), capped by a LyLAP-resistant, non-hydrophobic 12-amino acid peptide sequence, for solubility. Consistent with processive monoaminopeptidase activity, we observed time-dependent shortening of the 15-mers down to their 12-amino acid C-termini, and a corresponding increase in partially degraded 14- and 13-mer peptides (Fig. 3I). To determine the kinetic parameters of processive LyLAP activity, we carried out an in vitro cleavage assay with tripeptides C-terminally conjugated to AMC. LyLAPactive exhibited processive aminopeptidase activity against Leu-Leu-Leu-AMC and Leu-Pro-Leu-AMC, with kcat = 0.009 s−1 and 0.01 s−1, respectively, and Km = 1.1 μM and 14.5 μM, respectively, indicating strong preference for higher Leu content (Fig. 3J, S9G, S9H).

Comparison of LyLAPactive with the non-Cathepsin L-processed, but self-cleaved enzyme, showed that removal of the L209-H227 loop by Cathepsin K/L increased catalysis toward single amino acid substrates and, more substantially, toward tripeptide substrates (Fig. S9B, S9C, S9G, S9H). Together, these data strongly support a processive, Leu-directed monoaminopeptidase activity for LyLAP.

To detect LyLAP aminopeptidase activity in PDA lysosomes, we incubated extracts from immunopurified KP4 lysosomes with Leu-AMC and Leu-Leu-Leu-AMC (Fig. S9I). These assays revealed robust monoaminopeptidase activity toward both substrates (Fig. S9J, S9K). Knocking down LyLAP led to near complete loss of Leu-AMC and Leu-Leu-Leu-AMC cleavage, strongly suggesting that LyLAP mediates the bulk of leucine aminopeptidase activity in KP4 lysosomes (Fig. S9J, S9K).

LyLAP enables transmembrane protein degradation in PDA lysosomes.

The previous results indicated that, in vitro, LyLAP could remove N-terminal hydrophobic residues from peptides in a processive manner. To identify the endogenous peptide substrates degraded by LyLAP, we supplemented LyLAP-depleted lysosomal lysates with recombinant LyLAPactive or LyLAPdead followed by peptidomic analysis (Fig. 4A, S10A). This analysis confirmed that the endogenous peptide substrates of LyLAP matched the consensus identified by the synthetic MSP-MS library (Fig. 4B, S10B). Moreover, through a multi-parametric analysis of peptide features, the most significant property of LyLAP substrates over non-substrates was their higher hydrophobicity (Fig. 4C, S10C). Consistent with this idea, the peptides that accumulated in LyLAP-depleted versus control lysosomes also showed higher hydrophobic content (Fig. S10D-S10F). To biochemically support the peptidomic results, we carried out a biphasic extraction of lysosomal lysates and found increased peptide content in the apolar phase of LyLAP-depleted lysosomes versus control (Fig. 4D4F).

Fig. 4. LyLAP enables transmembrane protein degradation in PDA lysosomes.

Fig. 4.

(A) Set-up for semi-tryptic peptidomics to identify endogenous LyLAP substrates: shLuc or shLyLAP #1 KP4 lysosomal immunoprecipitates were reconstituted with LyLAP, digested with Trypsin and LysC, before LC-MS quantification. (B) N-terminal amino acid frequency on LyLAP substrate peptides. (C) Hydrophobicity index of LyLAP substrate peptides vs. non-substrate peptides. (D) Set-up for apolar extraction from KP4 lysosomal lysates. (E) (top) Bicinchoninic acid reaction (bottom) Quantification of hydrophobic peptides in apolar fraction of KP4 lysosomal lysates treated with indicated shRNAs. (F) Coomassie staining of apolar fraction of KP4 lysosomal lysates treated with indicated shRNAs. Arrow indicates hydrophobic peptides enriched in the apolar fraction of LyLAP-KD lysosomes. (G) Set-up for proteomics of shLuc or shLyLAP KP4 lysosomal lysates. (H) Density plot of hydrophobicity index showing a peak for proteins with >1 transmembrane α-helices. Control and LyLAP-KD samples are in black and red, respectively. (I) Pie chart showing the proportion of transmembrane proteins in lysosomal lysates after indicated treatments. Stacked bar graphs indicate plasma membrane localization of transmembrane proteins. (J) Immunoblot of KP4 lysosomal samples showing accumulation of undegraded plasma membrane proteins upon LyLAP depletion (lane 4), rescued by wild-type LyLAP (lane 5), but not C228A mutant (lane 6). (K) (left) MALDI-TOF spectra showing time-dependent degradation of TNFSF9 substrate by wild-type LyLAP, but not C228A mutant. (right) Peptide sequences corresponding to peaks in the MALDI-TOF spectra. Data are shown as mean ± SD. Comparison of groups carried out by two-tailed, unpaired t-test (C) and one-way ANOVA (E). ****p<0.0001, ***p<0.001.

To relate the hydrophobic peptides cleaved by LyLAP to specific protein substrates, we profiled the proteins that preferentially accumulated in LyLAP-depleted over control lysosomes, following treatment with BafA1 (Fig. 4G). The use of BafA1 normalization enabled us to distinguish between lysosomal resident and substrate proteins (37). When plotted for hydrophobicity, lysosomal protein substrates were arranged in a bimodal distribution where the second peak represents integral membrane proteins containing one or more transmembrane α-helices (Fig. 4H) (56, 57). The distribution of candidate LyLAP substrates was skewed towards a higher fraction of integral membrane proteins (Fig. 4H).

Consistent with the above hydrophobicity analysis, proteins annotated as transmembrane made up a much larger (up to 4-fold) fraction of all substrates in LyLAP-depleted over control lysosomes (Fig. 4I). The majority (up to 82%) of transmembrane proteins that were LyLAP substrates are plasma membrane localized, with smaller fractions residing in endomembranes and mitochondria (Fig. 4I). Many plasma membrane proteins are endocytosed and trafficked to the lysosome for degradation, including integrins and signaling receptors (9, 12, 58). Several members of these two classes were among the LyLAP substrates, including TNFSF9, RELL1, IFNGR1, and ITGB1 (Fig. S10G). Through immunoblotting of immunoprecipitated lysosomal samples, we confirmed the accumulation of these proteins in LyLAP-depleted versus control lysosomes, which was rescued by add-back of LyLAPactive, but not LyLAPdead (Fig. 4J). To further confirm that these proteins are indeed direct substrates of LyLAP, we synthesized a peptide matching the transmembrane sequence TNFSF9. Upon incubation of the synthetic TNFSF9 peptide with recombinant LyLAPactive, but not LyLAPdead, we observed progressive N-terminal shortening of the peptide by MALDI-TOF spectroscopy (Fig. 4K).

In contrast, when the TNFSF9 peptide was embedded into a liposome and incubated with recombinant wild-type LyLAP, there was no detectable proteolysis by MALDI-TOF (Fig. S11A). Together, these data favor a model where substrate peptides need to be freed of surrounding lipids before they can be processed by LyLAP (Fig. S11B).

In conclusion, by linking together amino acid-, to peptide-, to protein-level analysis, we found that the aminopeptidase activity of LyLAP serves to break down hydrophobic helical domains belonging to transmembrane proteins, most of which are plasma membrane derived.

Loss of LyLAP triggers lysosomal membrane permeabilization.

We next asked whether failure to degrade hydrophobic peptide domains underlies the profound dysfunction that we observed in LyLAP-depleted lysosomes (Fig. 2). Hydrophobic peptides have the propensity to partition into lipid bilayers (30, 5961). In a biological membrane, such as the lysosomal limiting membrane, this partitioning could disrupt lipid packing and favor permeabilization, a process that can kickstart a downstream cascade of ion leakage, loss of hydrolase activity and, ultimately, cell death (62).

Consistent with underlying lysosomal membrane damage, LyLAP-depleted PDA cells displayed lysosomal recruitment of ESCRT-III components, Charged Multivesicular Body Protein 4B (CHMP4B) and CHMP1A, which mark sites of lysosomal membrane damage and participate in its repair (25, 26) (Fig. 5A-5D). In contrast, these markers remained diffuse in the cytoplasm of control cells (Fig. 5A-5D). Furthermore, LyLAP-depleted cells were more sensitive to L-leucyl-L-leucine methyl-ester (LLOMe), an agent that triggers lysosomal membrane permeabilization through its conversion to Leu polymers that are thought to intercalate in the lysosomal membrane (63) (Fig. 5A-5D).

Fig. 5. Loss of LyLAP activity triggers lysosomal membrane permeabilization.

Fig. 5.

(A, B) Representative immunofluorescence images (A) and quantification of colocalization ratio of Chmp1A and Lamtor4 (B) of KP4 cells treated with shLyLAP #1 or shLuc treated with 0.5 mM LLOMe for 15 minutes. Scale bars, 10 μm. (C, D) Representative confocal images (C) and quantification of CHMP4B-mNeonGreen (mNG) punctae per cell (D) of KP4 cells expressing CHMP4B- mNG and transduced with indicated shRNAs. Cells were treated for 10 minutes with indicated LLOMe concentrations. Scale bars, 10 μm. (E, F) Representative confocal images (E) and quantification of CHMP4B-mNG punctae per cell (F) of KP4 cells expressing CHMP4B-mNG and treated with shLyLAP #1 or shLuc and supplemented with recombinant C228A or WT LyLAP. Cells were treated for 10 minutes with indicated LLOMe concentrations. Scale bars, 10 μm. (G, H) Representative confocal images (G) and quantification of pHluorin colocalization with Lamp1-mCherry over time (H) of KP4 cells expressing RpH and treated with shLyLAP#1 or shLuc and supplemented with recombinant C228A or WT LyLAP. Cells were treated with indicated LLOMe concentrations. Scale bars, 10 μm. (I) Model of LyLAP-mediated membrane protein degradation in highly endocytic cells. (left) In non-macropinocytic/non-phagocytic cells, house-keeping mechanisms (to be fully elucidated) enable lysosomes to process transmembrane protein substrates. (middle) In PDA cells (and possibly phagocytic non-cancer cells), LyLAP upregulation enables complete degradation of hydrophobic transmembrane domains derived from integral membrane proteins that are trafficked to the lysosome. (right) Loss of LyLAP triggers accumulation of undigested hydrophobic peptides, leading to lysosomal permeabilization and dysfunction, and ultimately PDA cell death. Comparison of groups carried out by two-way ANOVA (B, D, F, H). ****p<0.0001, ***p<0.001, **p<0.01, *p<0.05, ns=not significant.

Recombinant LyLAPactive, delivered to LyLAP-depleted KP4 cells, was sufficient to rescue the hypersensitivity to LLOMe-induced membrane damage (Fig. 5E, 5F) and deacidification (Fig. 5G, 5H), whereas the LyLAPdead showed no protection. Notably, LyLAPactive conferred strong protection from LLOMe-induced membrane permeabilization even in control, LyLAP-expressing cells (Fig. 5E, 5F). Combined with the ability of LyLAP to degrade poly-Leu peptides in vitro (Fig. 3), this result suggests that excess LyLAP stabilizes LLOMe-challenged lysosomes by directly degrading the LLOMe-derived Leu polymers.

Collectively, these data demonstrate that the monoaminopeptidase activity of LyLAP protects the lysosomal limiting membrane from disruption by undigested hydrophobic peptides. Increased LyLAP levels enable lysosomes to maintain their integrity under high proteolytic loads and may play a stabilizing role in the presence of a variety of chemical and mechanical stressors.

Discussion

Following their export from the ER, most transmembrane proteins depend on the lysosome for their degradation. Here, we discovered that lysosomes rely on LyLAP to proteolyze the hydrophobic helical domains of membrane protein substrates. Our data indicates that LyLAP is a processive monoaminopeptidase with strong preference for leucine and other hydrophobic residues overrepresented in transmembrane domains. LyLAP was highly abundant in lysosomes from PDA cells, where it enables degradation of membrane proteins that reach the lysosome following endocytic and macropinocytic uptake (64). Accordingly, inactivating LyLAP resulted in build-up of undigested hydrophobic peptides that disrupted the integrity of PDA lysosomes (Fig. 5I). The discovery of LyLAP fills a major gap in our understanding of membrane protein degradation and turnover within the lysosome.

LyLAP is the first identified lysosomal leucine aminopeptidase (LAP). Its Ntn-hydrolase fold distinguishes it from the cytosolic LAPs (metallopeptidases involved in antigen presentation and bioactive peptide activation), but also from other lysosomal proteases, such as cathepsins (14) (65). Our data supports the previous hypothesis, based on purely structural grounds, that C228 is the nucleophile that mediates both autocatalytic and substrate cleavage (43). Based on structural prediction and experimental data, we determined a further maturation step involved in the removal of the L209-C228 segment that occludes the active site. Further structural studies of the enzyme-substrate complex will be required to elucidate the details of substrate engagement and catalytic mechanism.

Another important question is how LyLAP cooperates with other lysosomal hydrolases to degrade its substrates. Transmembrane proteins are degraded within the lysosomal lumen following their capture into intraluminal vesicles (ILV), which invaginate from the endosomal limiting membrane (5, 6). Once in the lysosomal lumen, ILVs containing membrane proteins are broken down by deglycosidases, lipases and proteases, although whether these events are sequential or simultaneous is unclear. Because LyLAP attacks the N-termini of transmembrane domains, these must be pre-cleaved and exposed by lysosomal endopeptidases. Moreover, it is likely that the substrate peptide needs to be freed of surrounding lipids before it can be processed by LyLAP. Accordingly, when a model substrate peptide from TNFSF9 was embedded into a liposome and incubated with recombinant wild-type LyLAP, there was no detectable proteolysis by MALDI-TOF unlike the free (not lipid-embedded) peptide Our data also suggests that LyLAP-mediated degradation should occur rapidly to prevent accumulation of undigested hydrophobic domains and the resulting membrane damage. Future studies will be required to reconstitute the chain of events in this pathway.

LyLAP inactivation caused loss of lysosomal membrane integrity, deacidification, partial inactivation of several hydrolases with buildup of their respective substrates, and, ultimately, PDA cell death. A likely mechanism for this toxicity is the partitioning of undigested hydrophobic peptides into the lysosomal limiting membrane, an event that could disrupt lipid packing and cause its permeabilization (30, 5961). In support of this model, LyLAP-depleted PDA lysosomes had baseline ESCRT-III recruitment and increased sensitivity to LLOMe. However, the undigested hydrophobic peptides could exert other toxic actions beside membrane intercalation, such as aggregation or sequestration of other factors (29, 66).

We discovered LyLAP as the most differentially enriched hydrolase in PDA versus non-cancer lysosomes. Moreover, LyLAP is highly expressed in PDA patients both by gene expression and histochemical analysis. PDA requires high rates of endocytic membrane traffic and autophagy for its growth (64). While this traffic benefits PDA growth by providing nutrients from the extracellular environment, it may also deliver large amounts of plasma membrane proteins to the lysosome. Our data are most consistent with the hypothesis that elevated LyLAP expression helps PDA lysosomes to cope with the enhanced proteolytic load caused by endocytic influx. PDA cells were shown to upregulate transcriptional programs for lysosomal biogenesis as an adaptive mechanism to enhance macromolecular breakdown, nutrient scavenging, and stress adaptation (16, 18, 38, 64, 67). Our finding that LyLAP is upregulated by the MiT/TFE factors links it to this broad program that sustains PDA growth under nutrient-limiting conditions.

A related question is how cells that do not express high levels of LyLAP (which include several non-PDA cancers as well as non-phagocytic cells) degrade transmembrane proteins in the lysosome. One possibility is that other enzymes with hydrophobic aminopeptidase activity might exist. For example, LyLAP/PLBD1 has a widely expressed paralog, PLBD2 (68), which could provide baseline capability for transmembrane protein degradation. Cathepsin H was also shown to N-terminally cleave hydrophobic amino acids in vitro, although its processivity and substrate specificity were not determined (69). Alternatively, when influx rates of transmembrane proteins are relatively low, lysosomes may dispose of undigested hydrophobic stretches through alternative mechanisms such as intramembrane proteases or lysosomal exocytosis (8, 70).

In support of our model that LyLAP upregulation enables cells to cope with increased endocytic flux, this enzyme is also highly upregulated in professional phagocytic cells, such as macrophages and trophoblasts. We speculate that in the context of pathogen engulfment, a similar influx of transmembrane proteins belonging to either the host or the pathogen might impose a proteolytic burden on macrophage lysosomes, thereby requiring LyLAP activity.

Materials and Methods

Chemicals and antibodies

Primary antibodies were obtained from the following sources: TFE3 (14779S), HA (3724), TOM20 (42406), PDI (3501), GM130 (12480), PEX5 (83020), SQSTM1 (39749), TAX1BP1 (5105), NBR1 (9891), GABARAPL1 (13733), LC3B (3868), and Lamtor4 (13140) from Cell Signaling Technologies; Calcoco2 (12229–1-AP), TNFSF9 (66450–1-Ig), RELL1 (29823–1-AP), IFNGR1 (10808–1-AP), and ITGB1 (12594–1-AP) from Proteintech; LAMP2 (sc-18822), His (sc-57598), and Chmp1a (sc-271617) from Santa Cruz Biotechnology; LyLAP/PLBD1 (HPA040303) from Sigma Aldrich; and NPC1 (ab134113) from Abcam. Secondary antibodies were obtained from the following sources: anti-Ms-AF488 (A11001), anti-Rb-AF488 (A11011), anti-Ms-AF568 (A11004), anti-Rb-AF568 (A11008) from Thermo Fisher; anti-Ms-HRP (A4416) from Sigma Aldrich, anti-Rb-HRP (PI-1000) from Vector Laboratories.

Chemicals were obtained from the following sources: Bafilomycin A1 (BafA1, J61835) and Leupeptin hemisulfate (J61188) from Alfa Aesar; L-Leucyl-L-Leucine methyl ester (hydrochloride) (LLOMe, 16008) from Cayman Chemical; Pepstatin A (195368) from MP Biomedicals; E64D (E8640) from Sigma Aldrich.

Plasmids and cloning

Short-hairpin oligonucleotide (shRNA) directed against LyLAP/PLBD1 (TRCN0000425993 for shLyLAP #1 and TRCN0000416996 for shLyLAP #2), TFE3 (TRCN0000232151), CTSA (TRCN0000051275), CTSD (TRCN0000003660), CTSL1 (TRCN0000003674), TPP1 (TRCN0000003572), or Luciferase (TRCN0000072243, used as a non-targeting control) were cloned into the pLKO.1 lentiviral vector (the RNAi Consortium, Broad Institute) according to manufacturer instructions.

Synthetic cDNA encoding TMEM192-RFP-3xHA was sub-cloned into the pLVX lentiviral vector (37). Inserts encoding mCherry-pHluorin-Lamp1–3xFlag (RpH) (50) and CHMP4B-mNG (25) were sub-cloned into the pCDH lentiviral vector. Synthetic cDNA encoding for IgK-TEV-6xHis-PLBD1, IgK-TEV-6xHis-PLBD1(C228A), and IgK-TEV-6xHis-ASAH1 were cloned into the pCAG vector for mammalian expression.

Mammalian cell culture

KP4 (RRID: CVCL_1338), MiaPaCa-2 (RRID: CVCL_0428), ASPC-1 (RRID: CVCL_0152), Pa-Tu 8988T (RRID: CVCL_1847), and HEK-293T (RRID: CVCL_0063) cells and their derivatives were cultured in DMEM media (Gibco, 11965) with 10% fetal bovine serum supplemented with 1% penicillin and streptomycin. HPDE (RRID: CVCL_4376) cells and their derivatives were cultured in defined Keratinocyte SFM media (Gibco, 10744019). MCF-10A (RRID: CVCL_0598) cells and their derivatives were cultured in DMEM/F12 (Gibco, 10565–018), 5% Horse serum, 10mM HEPES, 10 μg/ml insulin, 20 ng/ml EGF, 500 ng/ml Hydrocortisone, 1 μg/ml Cholera toxin. All adherent cell lines were maintained at 37°C and 5% CO2. Suspension 293 GnTI- cells (RRID: CVCL_B0J7) were cultured in FreeStyle 293 expression medium (Gibco, 12338018) supplemented with 2% FBS and 1% penicillin and streptomycin and maintained at 37°C and 8% CO2, while shaking at 130 rpm. All cells were routinely tested for mycoplasma contamination using mycoplasma PCR detection kit (abm, G238).

Human samples

The tissue microarray containing pancreatic cancer specimens has been detailed in a previous publication (71). Human pancreatic ductal adenocarcinoma (PDA) samples were procured from patients who had undergone surgical resection of their primary PDA tumors. The samples were gathered at UCLA in accordance with the approved protocol IRB#11–000512. Notably, no selection biases were identified. The study was carried out in strict adherence to institutional ethical guidelines, with minimal risk as per the IRB protocol, hence formal informed consent was not required.

Lentiviral production and transduction

Lentiviral particles were generated by co-transfecting pLKO, pLVX or pCDH constructs with pMD2.G (Addgene, 12259) and psPAX2 (Addgene, 12260) packaging plasmids at a 5:3.75:1.25 ratio to HEK-293T cells using PEI transfection reagent (Polysciences Inc., 23966). Viral supernatants were collected 48 h and 72 h post-transfection and filtered using a 0.45 μm syringe filter. Virus was concentrated using Lenti-X concentrator (Clontech, 631231) according to manufacturer instructions and stored at −80°C prior to transduction. For lentiviral transduction, the virus and 8 μg/mL polybrene (Millipore TR-1003-G) were added to target cells 24 h after seeding. After 24 h, virus was removed, and cells were selected with fresh media containing either puromycin (1.5 mg/mL), hygromycin B (200 mg/mL), or blasticidin (10 mg/mL). Experiments were performed 4–6 days post transduction.

Spheroid growth assay

2000 KP4 or MiaPaCa-2 cells (transduced and selected for appropriate shRNA expression) were seeded in quadruplicate with 100 μL full serum DMEM media in 96-well round bottom ultra-low attachment spheroid microplate (Corning, 4515). Spheroids were imaged on an IncuCyte S3 with a 10x objective. Spheroid cell viability was quantified by incubation with CellTiter-Glo 2.0 (Promega, PRG9243), and luminescence was read using Tecan Spark plate reader in luminescence mode.

Colony formation assay

5000 KP4, MiaPaCa-2 or ASPC-1 cells (transduced and selected for appropriate shRNA expression) were seeded with triplicate with 2 mL full serum DMEM media per well of a 6-well plate. Media was changed every 4–5 days over the course of 1.5–2 weeks of growth (until the fastest growing wells were about 80–90% confluent). At the end of the growth period, cells were washed once with PBS and fixed in 4% paraformaldehyde in PBS for 15 min at room temperature. Fixed cells were washed thrice with PBS and subsequently stained with 1 mL of crystal violet staining solution (0.1% crystal violet, 20% methanol in water) for 15 min at room temperature. Stained wells were washed thrice with water and plates were allowed to dry overnight on benchtop. After wells were imaged, remaining crystal violet stain was dissolved in 200–400 μL 10% acetic acid solution. Dissolved crystal violet stain was transferred to clear 96-well plates and absorbance was measured at 595 nm using a Tecan Spark plate reader.

Continuous cell proliferation assay

6000 cells (transduced and selected for appropriate shRNA expression) were seeded in 100 μL full serum DMEM media in 96-well clear bottom plate (Corning, 07200588) and cell confluence was monitored using an IncuCyte S3 by taking phase-contrast images with a 10x objective.

RNA isolation and RT-qPCR analysis

Total RNA extraction was performed using Aurum Total RNA mini kit (Bio-Rad, 7326820) and RNA concentration was estimated from absorbance at 260 nm. cDNA synthesis was performed using iScript Advanced cDNA synthesis kit for RT-qPCR (Bio-Rad, 1708840), following manufacturer’s instructions. cDNA was diluted in DNAse-free water before quantification by RT-PCR. Chemical detection of PCR products was achieved with SYBR Green (Bio-Rad, 172–5271), using a CFX96 touchTM real-time PCR (Bio-Rad). At the end of each run, melt curve analysis was performed. Gene expression was corrected for the expression of reference genes. The following primers were used:

For LyLAP – forward: GCAACTGCATACTGGATGCCT; reverse: TCAGGGTTTGAGAGCCATAGC.

For CTSA – forward: CAGTACTCCGGCTACCTCAAAG; reverse: TGGGACTCCACAAACCAGTAG.

For CTSD – forward: AGTCCAGCACCTACGTGAAGA; reverse: CGTTGTTGACGGAGATGCG.

For CTSL1 – forward: AGAATCTGGTAGACTGCTCTGG; reverse: GATGTCCACAAAGCCGGTG.

For TPP1 – forward: TGGAAAGACTCTCGGAGCTG; reverse: GGATGGCCTCACCAGATCA.

For Actin – forward: CATGTACGTTGCTATCCAGGC; reverse: CTCCTTAATGTCACGCACGAT.

SDS-PAGE and immunoblot analysis

Protein lysates were loaded per lane in 4–20% Tris-Glycine gel (Thermo Scientific, XP04205) and resolved by electrophoresis in tris-glycine running buffer (25 mM Tris, 190 mM glycine, 0.1% w/v SDS). Proteins were transferred to a PVDF membrane (Millipore, IPVH00010) and blocked with 5% milk in TBS-T. Membranes were incubated with primary antibody (diluted in 5% milk in TBS-T) overnight at 4°C. Membranes were rinsed in TBS-T for 30 min and incubated with HRP-conjugated secondary antibodies (diluted 1:5000 in 5% milk in TBS-T) for 1 h at room temperature, after which they were washed again for 30 min in TBS-T. Membranes were then incubated with Pierce ECL western blotting substrate (Thermo Scientific, 32109) before being exposed to ProSignal ECL Blotting Film.

Immunohistochemical analysis

The slides underwent baking at 60°C for 1 h, followed by the removal of paraffin using two 5 min washes in xylene. Rehydration was then carried out sequentially in ethanol (100, 90, 70, 50, and 30%) for 5 min each. Post rehydration, samples underwent a 20 min heat treatment in a 10 mM sodium citrate buffer solution (pH 6.0), followed by two washes with PBS. Subsequently, they were immersed in methanol/5% hydrogen peroxide at room temperature for 30 min. After two PBS washes, the samples were blocked with 2.5% normal goat serum (NGS) for an hour, and then left overnight for incubation with the primary antibody at 4°C. Following this, the slides were washed twice with PBS for 5 min each, before being subjected to secondary antibody incubation. Following three washes, the slides were stained using a di-aminebenzidine (DAB) substrate kit (SK-4100 Vector Laboratories) for 10 min, washed with water, and counterstained with hematoxylin. Finally, the slides were dehydrated, mounted, and bright field images were captured using a KEYENCE BZ-X710 microscope.

Immunofluorescence and confocal microscopy

Cells were seeded on fibronectin coated glass coverslips in 12-well plates at 250,000 cells per well the day before treatment with compounds for specified concentrations and time (as indicated). Cells were then fixed in 4% paraformaldehyde in PBS for 15 min at room temperature, rinsed thrice with PBS, permeabilized with 0.1% w/v saponin in PBS for 15 min at room temperature, and rinsed again thrice with PBS. Primary antibodies were diluted in 5% normal donkey serum (Jackson ImmunoResearch, 017–000-121) in PBS and placed onto coverslips for 1 h at room temperature. Coverslips were rinsed thrice with PBS and labelled with the appropriate fluorescently conjugated secondary antibodies (diluted 1:300 in 5% normal donkey serum in PBS) for 1 h at room temperature. Coverslips were rinsed thrice with PBS and mounted on glass slides using Vectashield Antifade Mounting Medium with DAPI (Vector Laboratories, H-1200). Confocal microscopy was performed on a spinning-disk Nikon Ti-E inverted microscope (Nikon Instruments) with Andor Zyla-4.5 cMOS camera (Andor Tehcnology) using iQ3 acquisition software (Andor Technology). All images were taken with a 60x oil objective.

Co-localization analysis from immunofluorescence was performed by importing raw, unprocessed, non-overlapping images to FIJI v.2.1.0/1.53c and coverted to 8-bit images. Images of individual channels were thresholded independently to exclude background and converted to binary mask. Co-localization between lysosomes (Lamtor2 or LAMP1-mCherry) and marker of interest (CHMP1A or Phluorin for RpH) was determined using the ‘AND’ function of the image calculator. Data plotted as fraction of lysosomes that are positive for marker of interest (‘Colocalization Score’).

Lysosome size was assessed by first projecting 15–20 z-planes per image onto one place using the ‘Image to Stacks’ function followed by the Z-project function on FIJI. The projections were subjected to a pipeline developed in-house on CellProfiler (72). Briefly, each projected image was transformed to a grey-scale image and uneven illumination was corrected using the illumination correction function. The resulting image was subjected to ‘IdentifyPrimaryObjects’ function in which the typical diameter of objects (i.e., lysosomes) was manually set and visually inspected for correct identification of lysosomes. The identified primary objects were counted (‘MeasureObjectSizeShape) and area was measured.

For live imaging experiments, an Opera Phenix Automated Microscopy system (Perkin Elmer) was used. 25,000 cells were seeded in duplicate (100 μL/well) of a 96-well glass bottom plate (Cellvis, P96–1.5H-N) in phenol red-free DMEM media. The next day, 50 μL of Hoechst dye was added to cells to stain nuclei 30 min prior to the start the experiment. 4 images of non-overlapping frames were taken per well; first the nuclei were imaged, then cells were imaged at baseline, followed by addition of the appropriate concentration of either LLOMe (or DMSO vehicle control) and imaging every 1 min for 10 min (for RpH) or 5 min for 30 min (for CHMP4B-mNG). Temperature and CO2 levels were maintained at 37°C and 5%, respectively, during the experiment. All images were taken with a 40x water objective. Images were analyzed using Harmony 3D analysis software for nuclei and spot selection and masking and quantification of nuclei/spot number and spot relative intensity for all frames and time-points collected.

Transmission electron microscopy

PDA cells (transduced with and selected for appropriate shRNAs) were seeded in a 6-well plate. Cells were fixed in 2% glutaraldehyde diluted in warm DMEM media, shaking for 30 min at room temperature. After fixation, cells were scraped into a 1.5 mL microcentrifuge tube and spun down until a pellet was visible. The supernatant was removed, and samples were prepared and sectioned by the University of California Berkeley Electron Microscope Laboratory. Briefly, cell pellets were fixed for 30 min at room temperature in 2.5% glutaraldehyde in 0.1 M cacodylate buffer pH 7.4. Fixed cells were stabilized in 1% very low melting-point agarose and then cut into small cubes. Cubed sample was then rinsed three times at room temperature for 10 min in 0.1 M sodium cacodylate buffer, pH 7.4 and then immersed in 1% osmium tetroxide with 1.6% potassium ferricyanide in 0.1M cacodylate buffer for an hour in the dark on a rocker. Samples were later rinsed three times with cacodylate buffer and then subjected to an ascending series of acetone for 10 minute each (35%, 50%, 75%, 80%, 90%, 100%, 100%). Samples were progressively infiltrated with Epon resin (EMS, Hatfield, PA, USA) while rocking and later polymerized at 60°C for 24 h. 70 nm thin sections were cut using an Ultracut E (Leica, Wetzlar, Germany) and collected on 100 mesh formvar coated copper grids. The grids were further stained for 5 min with 2% aqueous uranyl acetate and 4 min with Reynold’s lead citrate. The sections were imaged using a Tecnai 12 TEM at 120 KV (FEI, Hillsboro, OR, USA) and images were collected using RIO 16 CMOS camera from Gatan. (Gatan Inc., Pleasanton, CA, USA). Lysosome diameter was measured using the measuring tool on ImageJ v2.3.0.

Lysosomal immunoprecipitation (LysoIP)

Lysosomes from cells expressing TMEM192-mRFP-3xHA were purified as previously described (37). Briefly, cells were seeded in 15 cm dishes and, upon reaching appropriate confluence, were harvested into 10 mL ice-cold KPBS buffer (136 mM KCl, 10 mM KH2PO4, pH 7.25 and supplemented with Pierce Protease Inhibitor tablet). If immunoprecipitated lysosomes were used for further enzymatic assays, no protease inhibitor was added. Cells were pelleted by centrifuging lysates at 300g for 5 min and resuspended in a total volume of 1 mL KPBS (supplemented with 5% w/v OptiPrep (Sigma Aldrich, D1556)) and fractionated by passing through a 23G syringe 8 times followed by centrifugation at 800g for 10 min (for downstream assays quantifying proteins and lipids), 2 min (for downstream assays quantifying polar metabolites). Post-nuclear supernatant (PNS) was collected, and the rest of the lysate was incubated with 80–100 μL α-HA magnetic beads (Thermo Fisher, 88836) with end-over-end rotation for 30 min (for protein and lipid downstream quantification) and 3.5 min (for polar metabolite quantification) at 4°C. Lysosome-bound beads were rapidly washed three times with KPBS. For immunoblotting, 80–100 μL 2x urea sample buffer was added to the beads and heated for 30 min at 37°C. For proteomic analysis and in vitro enzymatic reactions, 80–100 μL KPBS with 1% tergitol was added to the beads and heated for 30 min at 37°C. For lipidomic and metabolomic analysis, 100 μL ice-cold methanol was added directly to the beads and samples were stored at −80°C prior to extraction (details below).

Generation of lysosomal pH calibration curve

Lysosomal pH calibration curve was generated using the method described in (50). Briefly, KP4 cells stably expressing the RpH construct were seeded at 40,000 cells per well in 8-well μ-slides (Ibidi, 80826). Cells were treated with 500 nM BafA1 overnight. Calibration curves were performed on cells permeabilized with 10 μg/mL nigericin and incubated with calibration solutions ranging from pH 4–8. Colocalization ratios between pHluorin and Lamp1-mCherry were determined at each pH condition as described under ‘Immunofluorescence and confocal microscopy’. Non-linear curve was fitted using a Boltzmann sigmoidal equation on Graphpad Prism, and lysosomal pH upon LyLAP-depletion was calculated based on the resulting equation.

Recombinant LyLAP expression in HEK293 GnTI- cells

LyLAP (wild-type or C228A mutant) was expressed with a TEV protease cleavable N-terminal 6xHis-tag and IgK secretion signal in HEK293 GnTI- cells upon transient transfection with PEI MAX (Polysciences Inc., 24765). The IgK secretion signal allowed for the secretion of LyLAP recombinant protein. 72 h post transfection, media supernatant was collected by pelleting the cells by centrifugation at 1000 rpm for 20 min at 4°C. Media supernatant was further filtered using 0.2 μm PVDF vacuum filter prior to incubation with Ni-NTA agarose resin (GoldBio, H-350–5) (10 mL wet volume per 1 L supernatant) for 1 h at 4°C. Protein-bound beads were isolated and washed using a gravity-flow column. Beads were washed once with wash buffer 1 (10 mM imidazole, 20 mM HEPES pH 7.5, 200 mM NaCl) and once more with wash buffer 2 (50 mM imidazole, 20 mM HEPES pH 7.5, 200 mM NaCl) prior to elution with 350 mM imidazole (supplemented with 20 mM HEPES pH 7.5 and 200 mM NaCl). Subsequently, the protein elution was run on a Superdex 200 16/600 200 pg column (Cytiva, 28989335). Peak fractions were collected, concentrated using Amicon Ultra Centrifugal filter (Millipore Sigma, UFC903024). Protein was flash-frozen in pH 7.5 buffer or buffer exchanged into “lysosomal pH buffer” (25 mM sodium acetate pH 4.5, 150 mM NaCl) using a Zeba 7k MWCO spin column (Thermo Scientific, PI89882) according to manufacturer instructions and diluted to a final concentration of 1 mg/mL.

Maleimide labeling and cellular uptake rescue experiments

AF546-Maleimide (Invitrogen, A10258) was reconstituted in DMSO to a 10 mM stock. 70 μg of recombinant LyLAP was incubated with 0.7 μL of AF546-Maleimide (0.1 mM final maleimide concentration). Excess maleimide was removed by buffer exchanging protein into fresh “lysosomal pH buffer” using a Zeba 7k MWCO spin column (Thermo Scientific, PI89882).

For recombinant uptake visualization, KP4 cells were seeded at a density of 50,000 cells/well in 12-well plates and AF546-maleimide-labeled LyLAP was added to cells at a final concentration of 100 μg/mL and incubated with cells overnight. The next day, media was changed to fresh DMEM media and cells were fixed for immunofluorescence imaging 3 h later, as normal.

For phenotype rescue experiments (growth, lysosomal size, membrane permeabilization, lyso-IP), KP4 cells were seeded on day 0, and unlabeled recombinant LyLAP was added to the media at 100 μg/mL. On day 1, cells were transduced with the relevant shRNAs. On day 2 cells were switched to puromycin-containing media (1.5 mg/mL) for selection over three days. On day 5, cells were seeded for the final assay, and on day 6, they were harvested or fixed for experimentation. Recombinant LyLAP (wild-type or C228A mutant) remained at 100 μg/mL in the media throughout the six-day process.

In vitro LyLAP cleavage assay

For autocatalytic cleavage (at pH 4.5), recombinant LyLAP was incubated overnight at 37°C, after which it was aliquoted and flash-frozen in liquid nitrogen for storage at −80°C. Cleavage of recombinant protein was verified by running sample on a Bis-Tris 4–12% gel (Thermo Fisher, NP0321), resolved by electrophoresis in 1x MOPS SDS running buffer (Thermo Fisher, NP000102), and stained using Coomassie (0.02% (w/v) Coomassie G-250 dye, 5% (w/v) aluminum sulfate, 10% (w/v) phosphoric acid, 10% ethanol).

For C228A-LyLAP cleavage by lysate, immunopurified lysosomal lysates were eluted in “lysosomal pH buffer” supplemented with 0.1% tergitol. 30% of the elution was incubated at 37°C with 5 μg of recombinant protein for appropriate time before the sample was collected and run on a denaturing SDS-Page gel and immunoblotted against α-His. For in vitro cathepsin cleavage assay, 3 μg of recombinant LyLAP was diluted in “lysosomal pH buffer” containing 0.3–0.7 mU cathepsin (either cathepsin B, D, L, or K) and incubated at 37°C for appropriate time point. Samples were collected and run on Bis-Tris 4–12% gel and visualized using Coomassie. Protease inhibitors (Leupeptin, Pepstatin or E64D) were all added to 20 μM final concentration. Recombinant cathepsins used were as follows: Cathepsin L (Sigma, C6854), Cathepsin K (Abcam, ab157067), Cathepsin B (Sigma, C6286), Cathepsin D (Sigma, C3138).

Cathepsin B assay

Cathepsin B assay was modified from and conducted as previously described (73). Briefly, KP4 cells (transduced and selected for appropriate shRNAs) were seeded at 100,000 cells per well in appropriate replicates in a 12-well plate. Cells were counted and then lysed in 200 μL per well of cold triton lysis buffer (0.1% Triton X-100, 100 mM sucrose, 20 mM HEPES pH 7, 10 mM KCl, 1.5 mM MgCl2, 1 mM EDTA), and lysates were nutated at 4°C for 20 min. 50 μL of soluble fraction was incubated with 50 μL of cathepsin B reaction buffer (50 mM sodium acetate, 4 mM EDTA, 8 mM DTT, 50 μM Z-RR-AMC (Sigma, C5429), pH 6) and incubated at 37°C for 5 min. Fluorescence intensity was measured every 30 s for 20 min (ex 350 nm/em 450 nm) using a Tecan Spark plate reader. Lysates treated with protease inhibitor were pre-treated with 20 μM final concentration Leupeptin/Pepstatin A at 37°C for 30 min prior to addition of the Z-RR-AMC substrate.

Acid ceramidase assay

Fluorogenic acid ceramidase assay was modified from one previously described (74). Briefly, KP4 cells (transduced and selected for appropriate shRNAs) were seeded in 10 cm dishes. Cells were counted then resuspended in 1 mL of cold 0.2 M sucrose solution and lysed by sonication in a water bath for 20 min followed by freeze-thawing in liquid nitrogen. In a well of a black 96-well plate, 25 μL of each lysate was added to 74.5 μL of “lysosome pH buffer”, 0.5 μL of 4 mM RBM14C12 substrate (Avanti Lipids, 860855) (resuspended in ethanol) for a final concentration of 20 μM. Where indicated, samples treated with 0.1 μL of 3 mM Carmofur (Sigma-Aldrich, C1494). Samples were incubated at 37°C for 3 h (without agitation and in dark). To stop the enzymatic reaction, 50 μL methanol and 100 μL of 2.5 mg/mL NaIO4 in 100 mM glycine/NaOH pH 10.6 was added to each well. Fluorescence (ex 360 nm/em 446 nm) was detected at room temperature every 15 min for 2 h (until stabilized) using Tecan Spark plate reader.

β-galactosidase assay

KP4 cells (transduced and selected for appropriate shRNAs) were seeded at 10,000 cells per well in a flat-bottom black 96-well plate with clear bottom (Corning, 07200588) and allowed to adhere overnight. Media was aspirated and replaced with 100 μL fresh full serum DMEM media supplemented with 15 μM LysoLive GalGreen fluorogenic substrate (MarkerGene Technologies, M2776) and 50 nM LysoTracker Red DND-99 (Thermo Scientific, L7528) and incubated at 37°C for 2 h. Wells were rinsed with PBS and media was replaced with imaging buffer (136 mM NaCl, 2.5 mM KCl, 2 mM CaCl2, 1.3 mM MgCl2, 10 mM HEPES pH 7.5). Fluorescnece was measured on a Tecan Spark plate reader (ex 485 nm/em 528 nm and ex 570 nm/em 590 nm) from the bottom of the plate. GalGreen fluorescence was normalized per well to LysoTracker red fluorescence.

Bile salt hydrolase activity

Bile acid hydrolysis assay was modified from method previously described (75). Briefly, 80 pmol of recombinant LyLAP (supplemented with 0.2 mU cathepsin L) was diluted in 50 μL final volume of “lysosomal pH buffer” and added to a well of a black 96-well plate. To begin the reaction, 50 μL of cholic acid-AMCA probe (diluted in “lysosomal pH buffer”) was added to each well for a final probe concentration of 150 μM. 2 units (per reaction) of bile salt hydrolase (BSH; Sigma-Aldrich, C4018) was used as a positive control. Fluorescence (ex 350 nm/em 450 nm) was measured every minute for 20 min (until stabilized) using Tecan Spark plate reader.

LyLAP monoaminopeptidase activity

In vitro LyLAP activity assays were done in a 384-well format with a Tecan Spark plate reader. LyLAP (200 nM for single concentration turnover assay or 20 nM for steady-state activity assays) was preactivated, where indicated, with Cathepsin L (0.2 mU) for 15 min at 37°C in “lysosomal pH buffer”. Activated LyLAP (15 μL, 20 nM final) was combined with 2x substrate stock solution (15 μL; diluted in “lysosomal pH buffer”) with 4–5 replicates. For Leu-AMC (L-Leucine-7-amido-4-methylcoumarin; Sigma-Aldrich, L2145), 11 concentrations ranging from 125 μM to 2.2 μM were tested. For Ile-AMC (L-Isoleucine-7-amido-4-methylcoumarin; SCBT, sc-295292C), 7 concentrations ranging from 80 μM to 0.5 μM were tested. Hydrolysis was monitored continuously at 37°C for 1 hour (ex 340 nm/em 440 nm). The initial velocities (RFU/s) from 5–15 minutes were converted to molar units (M/s) via a standard curve of free AMC (Millipore Sigma, 257370) and free Leu-AMC/Ile-AMC. The kinetic parameters kcat and KM were determined from the plot of initial velocity (M/s) against substrate concentration (M) using a Michaelis-Menton fit in GraphPad Prism. For single concentration turnover assays, LyLAP (15 uL, 200 nM final) was combined with 2X substrate stock solutions (15 uL) with three replicates. Negative control substrates were Pro-AMC (L-Proline-7-amido-4-methylcoumarin; Sigma-Aldrich, P5898) and Gly-AMC (Thermo Scientific Chemicals, J65592.MA). Kinetic parameters for tripeptides LLL and LPL were obtained in the same way as described above using tripeptide-AMC conjugates (synthesized by GenScript). All other processing steps are as described above.

Lipid hydrolysis assays by LC-MS

For lipid hydrolysis assays, 20 μg recombinant LyLAP (pre-activated with 0.2 mU cathepsin L for 15 min at 37°C) was diluted in 100 μL total volume either “lysosomal pH buffer” (pH 4.5) or PBS in the presence of 5% (final concentration) ethanol. For phospholipase B assay, 16:0/18:1 PC (POPC; Avanti Lipids, 850457) was added to the reaction mixture at 100 μM final concentration and incubated at 37°C for 20 h. For ceramidase assay, C12 Ceramide (Avanti Lipids, 860512) was added to the reaction mixture at 200 μM final concentration and incubated at 37°C for 0, 0.5 h, 1 h, 4 h, and 20 h. For glucosylceramide N-deacylase assay, C12 Glucosylceramide (Avanti Lipids, 860543) was added to the reaction mixture at 100 μM final concentration and incubated at 37°C for 20 h. The positive control for the ceramidase assay was recombinant ASAH1 (purified in-house using the same purification strategy and autocatalytic activation strategy as for LyLAP). The positive control for the glucosylceramide N-deacylase assay was recombinant Sphingolipid ceramide N-deacylase (SCDase; Sigma-Aldrich, S2563).

Each reaction was stopped by adding 400 μL of tert-butyl methyl ether (MTBE; Sigma-Aldrich, 34875) and 120 μL of methanol, supplemented with C12-mono-acyl-glycerin-ether (C12 MAGE) internal standard for 20 μM final concentration. Apolar phase (top) was transferred to a new tube, dried down by speed-vac, resuspended in 120 μL MTBE and transferred to a glass vial with a glass vial insert inside prior to injection on LC-MS.

10 μL of each sample was injected and analyzed by single-reaction monitoring (SRM)-based LC-MS/MS (76). Metabolite separation was achieved with a Luna reverse-phase C5 column (50 × 4.6 mm, with 5-μm-diameter particles; Phenomenex). Mobile phase A was composed of 95:5 water:methanol; mobile phase B was composed of 60:35:5 isopropanol:methanol:water. Solvent modifiers 0.1% formic acid with 5 mM ammonium formate were used to assist in ion formation and improve LC resolution in positive mode. The flow rate for each run started at 0.1 mL/min for 5 min. The gradient started at 0% B and increased linearly to 100% B over 45 min with a flow rate of 0.4 mL/min, followed by isocratic gradient of 100% B for 17 min at 0.5 mL/min, before equilibrating for 8 min at 0% B with the same flow rate (0.5 mL/min). MS analysis was performed with electrospray ionization source on an Agilent 6430 QQQ LC-MS/MS. Capilary voltage was set to 3.0 kV, drying gas flow rate was 10 L/min and nebulizer pressure was 35 psi. Representative lipids were quantified by SRM of the transition from precursor to product ions at optimized collision energies.

Sphingolipid hydrolysis assays by thin-layer chromatography (TLC)

For complex sphingolipid hydrolysis assays by TLC, 0.3 nmol recombinant LyLAP (pre-activated with 0.2 mU cathepsin L for 15 min at 37°C) was diluted in 20 μL total volume either “lysosomal pH buffer” (pH 4.5) containing 0.2% Triton X-100 and 10 nmol of appropriate glycosphingolipid. The following glycosphingolipids were used: C12 Galactosylceramide (Avanti Lipids, 860544), Ganglioside GM3 (Avanti Lipids, 860058), Ganglioside GD3 (Avanti Lipids, 860060), and a mixture of gangliosides consisting of Asialo-GM1, GM1, GD1a, GD1b, GT1b (Cayman Chemical, 29362). The positive control for the glycolipid N-deacylase assay was recombinant Sphingolipid ceramide N-deacylase (SCDase; Sigma-Aldrich, S2563) (77). Reaction mixtures were incubated at 37°C for 20 h after which the reaction was stopped and lipids were extracted by addition of 375 μL methanol, 1250 μL MTBE and 315 μL water to induce phase separation. Apolar phase (top) was collected and dried down using speed-vac. Entire dried extract was resuspended and spotted onto HPTLC Silica Gel plate (Millipore Sigma, M1137480001). TLC running solvent comprised of 60:35:4 chloroform:methanol:water. Plates were developed in either 0.1 mg/mL fluorescamine (Sigma-Aldrich, F9015) in acetone to visualize primary amine-containing lipids or 0.05% primuline in acetone to visualize all other lipids.

Deglycosylation assay

15 μg of recombinant LyLAP was deglycosylated using PNGase F (NEB, P0704) in either native or denaturing conditions, following manufacturer’s instructions. Deglycosylated protein was resolved by electrophoresis on a Bis-Tris 4–12% gel in 1x MOPS SDS running buffer and stained using Coomassie.

Analysis of membrane-intercalated hydrophobic peptides within apolar lysosomal fraction

KP4 cells stably expressing lyso-tag (3xHA-TMEM192) were transduced with either shRNA targeting LyLAP or luciferase control. Lysosomes were immunopurified as described above and resulting beads bound to intact lysosomes were resuspended in 750 μL of 4:8:3 methanol:chloroform:water to separate the polar and apolar phases. Apolar phase was dried down using a speed-vac and samples were resuspended in buffer containing 1% Triton X-100. BCA assay (Thermo Fisher, 23227) was conducted to determine peptide concentration. Peptides were visualized on a 16% tricine gel (Thermo Fisher, EC66955BOX).

Matrix assisted laser desorption ionization-time of flight (MALDI-TOF) spectrometry

For LyLAP mass determination (Fig. S6J), recombinant LyLAP was diluted to 10 μM final concentration in 20 μL total of 5 mg/mL Sinapinic acid matrix solution (Supelco, 49508) prepared in 70:30 acetonitrile:water + 0.1% trifluoroacetate. For peptide mass determination (Fig. 4K), reaction mixture containing 10 μM peptide and 200 nM recombinant LyLAP (incubated at 37°C for the appropriate time) was diluted 1:1 with 40 mg/mL Super-DHB matrix (Supelco, 50862) prepared in 70:30 acetonitrile:water + 0.1% trifluoroacetate (8 uL total volume). 0.8–2 μL of protein/peptide-matrix solution was spotted onto a MALDI plate (JBI Scientific, V700666) and allowed to air-dry. Mass spectra was acquired on a Voyager DE Pro (Applied Biosciences) in linear mode with the following settings: 25000 V accelerating voltage; positive polarity; 10000–80000 Da acquisition mass range; 500 laser shots per spectrum.

Untargeted lipidomics

Sample preparation and liquid chromatography

LysoIP samples were diluted up to 300 μL in ice-cold LC-MS grade methanol (Fisher Scientific, A452–4). Internal standards – 5 μl SPLASH® LIPIDOMIX® (Avanti Polar Lipids, 330707) dissolved in methanol was added to each sample. Lipids were extracted by adding an additional 1250 μl tert-butyl methyl ether (Sigma-Aldrich, 34875) and 75 μL methanol to each sample. The mixture was incubated on a revolving mixer for 1 h (room temperature, 32 rpm). To induce phase separation, 375 μL H2O (LC-MS grade; Fisher Chemical, W6–4) was added, and the mixture was incubated on a revolving mixer for 10 min more (room temperature, 32 rpm). Samples were centrifuged (room temperature, 10 min, 1000g). Upper organic phase with collected and subsequently dried in vacuo (Eppendorf concentrator 5301, 1 ppm).

Dried lipid extracts were reconstituted in chloroform/methanol (50 μl, 2:1, v/v) and 10 μl of each extract was transferred to HPLC vials containing glass inserts. Quality control (QC) samples were generated by mixing equal volumes of each lipid extract. QC samples were aliquoted to 10 μL, dried in vacuo, and redissolved in 2-propanol (10 μl) for injection. Lipids were separated by reversed phase liquid chromatography on a Vanquish Core (Thermo Fisher Scientific, Bremen, Germany) equipped with an Accucore C30 column (150 × 2.1 mm; 2.6 μm, 150 Å, Thermo Fisher Scientific, Bremen, Germany). Lipids were separated by gradient elution with solvent A (MeCN/H2O, 1:1, v/v) and B (i-PrOH/MeCN/H2O, 85:10:5, v/v) both containing 5 mM NH4HCO2 and 0.1% (v/v) formic acid. Separation was performed at 50°C with a flow rate of 0.3 mL/min using the following gradient: 0–15 min – 25 to 86 % B (curve 5), 15–21 min – 86 to 100 % B (curve 5), 21–34.5 min – 100 % B isocratic, 34.5–34.6 min – 100 to 25 % B (curve 5), followed by 8 min re-equilibration at 25 % B.

Mass spectrometry

Reversed phase liquid chromatography was coupled on-line to a Q-Exactive Plus Hybrid Quadrupole Orbitrap mass spectrometer (Thermo Fisher Scientific, Bremen, Germany) equipped with a HESI probe. Mass spectra were acquired in positive and negative modes with the following ESI parameters: sheath gas – 40 L/min, auxiliary gas – 10 L/min, sweep gas – 1 L/min, spray voltage – 3.5 kV (positive ion mode); −2.5 kV (negative ion mode), capillary temperature – 250°C, S-lens RF level – 35 and aux gas heater temperature – 370°C.

Data acquisition for lipid identification was performed in quality control samples by acquiring data in data-dependent acquisition mode (DDA). DDA parameters featured a survey scan resolution of 140,000 (at m/z 200), AGC target 1e6 Maximum injection time 100 ms in a scan range of m/z 240–1200. Data dependent MS/MS scans were acquired with a resolution of 17,500, AGC target 1e5, Maximum injection time 60 ms, loop count 15, isolation window 1.2 m/z and stepped normalized collision energies of 10, 20 and 30 %. A data dependent MS/MS scan was triggered when an AGC target of 2e2 was reached followed by a Dynamic Exclusion for 10 s. All isotopes and charge states > 1 were excluded. All data was acquired in profile mode.

For deep lipidome profiling, iterative exclusion was performed using the IE omics R package (78). This package generates a list for fragmented precursors from a prior DDA run that can be excluded from subsequent DDA runs ensuring a higher number of unique MS/MS spectra for deep lipidome profiling. After the initial DDA analysis of a quality control sample, another quality control sample was measured but excluding all previously fragmentated precursor ions. Parameters for generating exclusion lists from previous runs were – RT window = 0.3; noiseCount = 15; MZWindow = 0.02 and MaxRT = 36 min. This workflow was performed twice to achieve a total of three DDA analyses of a quality control sample in positive and three DDA analyses in negative ionization mode.

Data for lipid quantification was acquired in Full MS mode with following parameters – scan resolution of 140,000 (at m/z 200), AGC target 1e6 Maximum injection time 100 ms in a scan range of m/z 240–1200.

Lipid identification and quantification

Lipostar (version 2.0, Molecular Discovery, Hertfordshire, UK) equipped with in-house generated structure database featuring fatty acids with no information on double bond regio- or stereoisomerism covering glycerolipid, glycerophospholipid, sphingolipid and sterol ester lipid classes. The raw files were imported directly with a Sample MS Signal Filter Signal Threshold = 1000 for MS and a Sample MS/MS Signal Filter Signal Threshold = 10. Automatic peak picking was performed with an m/z tolerance = 5 ppm, chromatography filtering threshold = 0.97, MS filtering threshold = 0.97, Signal filtering threshold = 0. Peaks smoothing was performed using the Savitzky-Golay smoothing algorithm with a window size = 3, degree = 2 and multi-pass iterations = 3. Isotopes were clustered using a m/z tolerance = 5 ppm, RT tolerance = 0.25 min, abundance Dev = 40%, max charge = 1. Peak alignment between samples using an m/z tolerance = 5 ppm and an RT tolerance = 0.25 min. A gap filler with an RT tolerance = 0.05 min and a signal filtering threshold = 0 with an anti-Spike filter was applied.

For lipid identification, a “MS/MS only” filter was applied to keep only features with MS/MS spectra for identification. Triacylgylcerols, diacylglycerols and sterol esters were identified as [M+NH4]+ adducts. Lysophosphatidylcholines, lysophosphatidylethanolamines, Ether- and vinyl ether-PE, ceramides and Sphingomyelins were analyzed as [M+H]+ adducts. Phosphatidylserines, phosphatidylinositols were analyzed as [M-H]- adducts. Acyl-, ether- and vinyl ether-Phosphatidylcholines were identified as [M+HCOO]- adducts. Following parameters were used for lipid identification: 5 ppm precursor ion mass tolerance and 20 ppm product ion mass tolerance. Automatic approval was performed to keep structures with quality of 3–4 stars. Identifications were refined using manual curation and Kendrick mass defect analysis and lipids that were not following these retention time rules were excluded as false positives.

Quantification was performed by peak integration of the extracted ion chromatograms of single lipid adducts. Peak integration was manually curated and adjusted. Identified lipids were normalized to peak areas of added internal standards to decrease analytical variation and normalized to protein concentrations of lyso-IP samples, as measured by BCA assay (Thermo Fisher, 23225). Statistical analyses for lipidomics data was conducted using MetaboAnalyst webtool (metaboanalyst.ca) (79).

Untargeted metabolomics

Whole-cell metabolomic extraction was performed by flash freezing 6-well culture plates in liquid nitrogen after one rapid wash with ice-cold water. On dry ice, 1 mL of a −20°C 1:1 methanol:water solution was added. Cells were quickly scraped on wet ice, transferred to a 2mL tube containing 1 mL of ice-cold chloroform, vortexed and kept on ice.

Endogenous proteins in LysoIP samples were heat denatured at 95°C for 5 min. Lysates were then treated overnight at 37°C with 150 nM (final concentration) recombinant LyLAP and 0.3 mU cathepsin L (or remained untreated) and were subsequently quenched with 100 μL ice-cold methanol and dried down. Dried extracts were reconstituted with 400 μL 90% methanol solution. 320 μL of ice-cold water was added to achieve a 1:1 water:methanol ratio, and this solution was transferred to a tube with 720 μL of ice-cold chloroform and vortexed.

Both LysoIP samples and whole cell samples were vortexed in 3 cycles of 20 sec, each followed by a 5 min resting period on ice. Phase separation was completed by centrifugation at 25000g (4°C, 20 min). The polar phase (top) was carefully pipetted to a new tube and dried in an unheated vacuum concentration system. Metabolites were resuspended in 50 μL of a 50% methanol solution, centrifuged at 25000g (4°C, 10 min), and 5 μL of the supernatant was taken for LC-MS analysis. The chromatographic separation of metabolites was performed using the hexylamine-based method as previously described (80). Mass spectrometry data was acquired by an Agilent 6550 Q-TOF as described before (54).

For TMT derivatization of small peptides for MS2 identification, dried lysosomal metabolite extracts were resuspended in 50 μL of 50 mM TEAB buffer (pH 8.5). Subsequently, 40 μL of acetonitrile was added to each sample. TMTzero Label reagent (Pierce) was dissolved in anhydrous acetonitrile at 20 μg/μL, and 10 μL of TMTzero solution was added to each sample. After 1 h incubation at room temperature, the derivatization reaction was quenched by addition of 4 μL of a 2.5% hydroxylamine solution and incubation for 15 min at room temperature. Samples were dried down once more and resuspended in 50 μL of 50% methanol for LC-MS analysis using the metabolomic LC-MS setup described above. For the MS2 identification of small TMT-labeled peptides, selected precursors were isolated in a 4 mass unit window by the quadrupole, followed by collision-induced dissociation (CID) at 20 kEV.

For untargeted metabolomic analysis of lysosomal and whole-cell metabolite extracts, peak features were detected, grouped, and quantified using the Profinder software (Agilent). Peak abundances were log-transformed and subsequently normalized by subtracting the median abundance within each sample. Volcano plots were made to visualize metabolite enrichment in LyLAP knockdown samples using the Perseus software (Max Planck Institute) (81) and R. The p-values making up the y-axis of the volcano plot were calculated with an unpaired two-tailed t-test. Target metabolites were identified by matching m/z and retention times with standards. Quantification was based on the extracted ion chromatogram (EIC) area of the [M-H]- ion. Within each sample, abundances were normalized to average of all measured metabolites.

Multiplexed Substrate Profiling-Mass Spectrometry (MSP-MS)

The MSP-MS library was used to determine substrate specificity of LyLAP as reported previously (82). 200 nM (final concentration) LyLAP was preactivated with 0.3 mU Cathepsin L for 30 minutes in NaOAc (Sigma Aldrich) pH 4.0. To a preheated buffer containing NaOAc pH 4.0, a final of 20 uM of Leupeptin (Thomas Scientific), 1 μM of the peptide library, and 20 nM of LyLAPactive was added. The reaction was then allowed to proceed at 37°C and 15 μL aliquots were taken out as timepoints at 15 min, 1 h, 4 h, and 24 h. These were then quenched with 15 μL of 6 M Guanidinium chloride. The samples were then acidified by spiking in Formic acid to a final concentration of 2%. These samples were desalted using preequilibrated (3× 15 μL of 50% ACN 0.2% Formic acid then 3X 15 μL 0.2% formic acid) Cleanup C18 pipette tips (Agilent) by pipetting 15 μL of the acidified solution 10X to ensure full binding of the peptides to the C18 plug in the tips. The tips were then washed 5X with 15 μL of 0.2% formic acid, and finally with 5 × 15 μL of 50% ACN, 0.2% Formic acid eluted into a to a nonstick 0.5 ml Axygen maximum recovery tube (Corning). This eluant was then evaporated in a speed vac and reconstituted with 15 μL of 0.1% formic acid. 5 μL of each sample was then injected into a PepMap RSLC C18 (Thermo Scientific ES900) attached to a 10,000-psi nanoACQUITY Ultra Performance Liquid Chromatography System (Waters) followed by a Q Exactive Plus Hybrid Quadrupole-Orbitrap (Thermo Fisher Scientific). The peaks were assigned using PAVA and the peaks were searched using ProteinProspector to the MSP-MS database and then analyzed using Extractor as described previously (82). and visualized using the ICE-logo web tool (83) with a reference set of all possible P4-P4` cleavages in the MSP-MS library. The Ice-logo was created by weighting the spectral counts observed across all replicate experiments.

Hydrophobic peptide processing and peptide library synthesis

A small sub-library was generated based on the sequence of a peptide from the MSP-MS library (FLKAHSDVWPYQDA) as it was already demonstrated to be a substrate for LyLAP in the MSP-MS experiment. F and L were replaced by the top five hydrophobic amino acids from MSP-MS were added to cover all combinations with an extra L was added to the N-terminus of each of the 25 peptides to observe sequential cleavage. Peptide containing the transmembrane domain of TNFSF9 following a poly-Arg sequence (WALAGLLLLLLLAAACAVFLRRRRRR) was also synthesized in the same manner (described below).

The peptides were synthesized on the Syro II peptide synthesizer (Biotage) using the standard Fmoc solid phase synthesis. All the peptides were synthesized using 12 μmol of preloaded alanine resin (Sigma-Aldrich) at ambient temperature. All couplings were done with 5 equivalence of amino acid (Novabiochem), 4.9 equivalences of O-(1H-6-Chlorobenzotriazole-1-yl)-1,1,3,3-tetramethyluronium hexafluorophosphate (HCTU) (Anaspec), and 20 equivalence of N-Methylmorpholine (NMM) (Sigma-Aldrich) in 500 μL of Dimethylformamide (DMF) (Sigma-Aldrich). Each of the amino acids were double coupled using 8 min reactions. The Fmoc was deprotected using 500 μL of 40% 4-Methylpiperidine (TCI) in DMF for 3 min, then a wash of 500 μL of 20% of 4-Methylpiperidine in DMF for 10 min. The deprotected peptides on resin were then washed 6 times with 500 μL of DMF for 6 min. The peptides were cleaved from the resin using a cleavage solution (88% TFA (Sigma-Aldrich), 5% phenol (Sigma-Aldrich), 5% Triisopropylsilane (Sigma-Aldrich), 2% H2O (MilliQ) and were shaken for 3 h before precipitation with 45 mL of ice cold 1:1 diethyl ether (Sigma-Aldrich) and hexanes (Sigma-Aldrich). The suspension was pelleted through centrifugation at 4,000 xg for 10 min and the supernatant was removed. The resulting pellet was allowed to dry in a chemical hood overnight. The crude pellet was re-dissolved in 200 μL of dimethyl sulfoxide (DMSO) (Sigma-Aldrich). Each peptide was purified by HPLC on an Agilent Pursuit 5 C18 column (5 mm bead size, 150 × 21.2 mm) attached to an Agilent PrepStar 218 HPLC. Peptides were eluted using a mobile phase with an ACN (Sigma-Aldrich) 0.1 % TFA gradient 20% to 80%. The solvent was removed from the purified material through evaporation using the Genevac EZ-Bio Standard. The purified peptides were resuspended in 3 mL of water, confirmed by LC-MS, and lyophilized. With the generated sub-library, the peptides were constituted into 50 mM DMSO and were mixed to a final dilution of 1 μM of each peptide into the same reaction buffer as MSP-MS. Aliquots were taken at six timepoints (0 min, 15 min, 1 h, 2 h, 4 h, 24 h) and quenched in equal volume of 6M Guanidium HCL.

The peptides were prepared for MS analysis as the MSP-MS library vide supra. The .raw data was exported from the instrument and imported directly into the MSFragger/Fragpipe program (8489). The data was analyzed using the LFQ-MB workflow. The spectra were searched against a database that was generated from a FASTA file of all 25 peptides. Decoys were added to this database with the Fragpipe program including common contaminant proteins. All counts from contaminants were removed from downstream analysis. The spectral count for these peptides were then plotted to determine processivity for each generated peptide. Because Leu and Ile are the same weight, these residues are indistinguishable in this assay and are all plotted as Leu

Proteoliposome preparation and in vitro TM-domain cleavage assay

Peptide containing the transmembrane domain of TNFSF9 (WALAGLLLLLLLAAACAVFLRRRRRR; synthesis as described above) was resuspended in 50% acetonitrile at 1 mM. Resuspended TNFSF9-peptide was added to Egg phosphatidylcholine (PC; Avanti, 840051) and 18:1 bis(monooleoylglycero)phosphate (S,R) (BMP; Avanti, 857133) at a molar ratio of 84:15:1 PC:BMP:TNFSF9-peptide and dried using a speed-vac. Lipids and peptide were re-dissolved in pH 4.5 Na-acetate buffer containing either recombinant wild-type LyLAP or C228A mutant, such peptide was at 10 μM final concentration and of the recombinant protein was at 200 nM final concentration. The liposome prep was vortexed for 2 min and subjected to 3 freeze-thaw cycles. After sufficiently being solubilized, the sample was extruded 19 times through a 10 μm polycarbonate membrane (Whatmann, 230300) using a Mini-Extruder (Avanti, 610000). Liposome preparations were incubated at 37°C for the indicated time. After incubation, samples were subjected to phospholipid solid phase extraction using Hybrid-SPE tips (Millipore Sigma, 52981) according to manufacturer instructions. Extracted samples were dried using a speed-vac and processed for MALDI-TOF as described above.

Semi-tryptic peptide analysis

High confidence LyLAP substrate peptides were probed by immunoprecipitating lysosomes from shLyLAP KP4 cells and eluting in “lysosomal pH buffer” supplemented with 0.1% tergitol. Endogenous proteins were heat denatured at 95°C for 5 min and lysates were treated overnight at 37°C with 150 nM (final concentration) recombinant LyLAP. Prior to addition to the lysosomal lysate, recombinant LyLAP was cleaved with 0.3 mU of cathepsin L at 37°C for 45 min, after which the samples were mixed with a mixture of leupeptin and pepstatin A (final concentration of both 20 μM). After overnight treatment with recombinant LyLAP, the reaction was stopped by again heat denaturing all the proteins at 95°C for 5 min, after which the samples were flash-frozen in liquid nitrogen and stored at −80°C.

BCA was performed to quantify protein concentrations across samples so they could be diluted to contain the same protein concentration. To 100 μL of each sample, an equal volume (100μL) of 2X denaturing buffer consisting of 10% SDS, 100mM Tris at pH 8.5 and 10 mM DTT was added. Samples were denatured, loaded, digested and purified with the micro S-Trap column (ProtiFi) according to the manufacturer’s protocol. Samples were digested with 1:50 LysC (Wako Chemicals) and 1:50 Trypsin (Promega) relative to protein amount. Following a quantitative peptide assay (Pierce) of the reconstituted samples, 600 ng of peptides were injected onto a C18 nanoLC column (EasySpray, 0.075 × 250 mm, Thermo) with a linear gradient of 4%−27.5% solvent B (0.1% FA in 80% ACN) for 37 min, 27.5%−50% solvent B for 20 min, 50%−95% solvent B for 10 min at a constant flow rate of 300 nL/min on a Vanquish Neo HPLC system. The peptides were analyzed by an Orbitrap Fusion Lumos mass spectrometer (Thermo). A semitrypic peptide search was performed using the Sequest HT algorithm in Proteome Discoverer 2.5 (Thermo) to identify peptides based on the human proteome database. For this search, we used a precursor match tolerance of 20 ppm, a fragment mass tolerance of 0.05 Da and a False Discovery Rate (FDR) of 1%. Using the Perseus software (81), missing values were imputed based on the Gaussian distribution of log-transformed abundance values. The down shift for the imputed values was set to 2 SD.

For post-processing, peptides that were detected in less than 2 of the replicates in the LyLAPdead samples and those marked as contaminants were removed from the analysis. Only N-semitryptic peptides were then processed and log2-fold changes and p-values were calculated. Peptides with a p-value of less than 0.1 were removed. Out of 13,642 starting peptides, 90 were considered as substrates for LyLAPactive (as they were enriched in the LyLAPdead samples and achieved the rest of the filtering criteria). Hydrophobicity index of individual peptides was calculated using the Peptides package in RStudio and the hydrophobicity function using the Abraham-Leo scale (90). Analysis of peptides enriched in lysosomes immunopurified from LyLAP-depleted versus control lysosomes were analyzed in the same manner.

Bioinformatic analysis

Expression-survival correlation analysis was conducted by first making a list of 179 proteins that fell under vacuole GO term (GO:0005773) and hydrolase GO term (GO:0016787). Using pathology data from the Human Protein Atlas and The Cancer Genome Atlas (TCGA), only 68 proteins that had listed an unfavorable prognostic outcome were kept (9193). Comparative analysis of lysosomal proteomics data from HPDE versus 8988T cells was based on method previous described (37). Briefly, the minimum peptide abundance was set to 1 for all replicates. Only proteins with an average peptide abundance of >1.5-fold enrichment over blank samples were included in the analysis. Fold changes between experimental samples were calculated and significance was calculated using two-tailed unpaired t-tests. Significantly enriched proteins from this analysis refer to those that have a p-value < 0.05 and a log2-fold-change > 2 in 8988T lysosomes over HPDE. Venn diagram comparing expression-survival analysis and proteins enriched in PDA lysosomal proteomics data was generated using the VennDiagram package in RStudio. Network analysis of 16 hydrolases that were both unfavorable prognostically in cancer and enriched in PDA lysosomes was conducted by finding the associated pathway in KEGG for each protein and generating a network using the igraph package (igraph.org) in RStudio.

Gene ontology analysis of most enriched proteins from lysosomal proteomics of 8988T versus HPDE cells was performed using Panther overrepresentation test; p-values are calculated by Fisher’s exact test with false discovery rate calculated. Homo sapiens gene whole-genome list was used as reference (94, 95). LyLAP mRNA levels in patient PDA tumors versus surrounding tissues were determined by analyzing data from published and deposited studies in the Gene Expression Omnibus (9698). mRNA levels of 16 top hydrolases (including LyLAP) in PDA versus non-PDA cancer cell lines was assessed by analyzing transcriptional expression data from the Cancer Cell Line Encyclopedia (CCLE; (99)). Log2 mean expression for each protein within each tumor type was calculated and expression was normalized per column (i.e., per protein) of the heatmap.

Proteomics raw data were acquired by Poochon Scientific on a Thermo Exploris 240 Orbitrap Mass Spectrometer (Thermo Scientific), Dionex Ultimate 3000 RSLCnano system (Thermo Scientific), and were normalized in the following manner: peptide abundances were subjected to more stringent cut-offs (maximum false discovery rate = 0.01), and the peptides were then grouped into proteins based on peptide spectrum match counts (PSMs). The resulting protein abundances were normalized using Normalized Spectral Abundance Factors (NSAF), a method commonly used in shotgun proteomics (100, 101). NSAF is calculated using the following formula:

NSAFN = 100 × (SN/LN)/(Σni=1Si/Li)

Where:

- SN = Number of peptide spectra matched to the protein N

- LN = Length of protein N

- n = Total number of proteins in the dataset

Comparative analysis of lysosomal proteomics data from LyLAP-depleted KP4 cells was conducted in the same way as described above. Proteins belonging to general autophagic cargo category were determined by identifying proteins that were significantly accumulated (log2-fold-change > 2) upon BafA1 treatment compared to DMSO in shLuc cells (log2(shLucBafA1/shLucDMSO)). To identify proteins that were likely to be LyLAP substrate proteins (i.e., more enriched than normal lysosomal autophagic cargo), the following formula was employed: log2(shLyLAPBafA1/shLyLAPDMSOshLucBafA1/shLucDMSO). Max hydrophobicity of peptide stretches belonging to each group of enriched proteins was conducted by picking the maximum hydrophobicity value from the ‘membpos’ function within the Peptides package in RStudio (56, 57); maximum hydrophobicity was plotted as a density plot using the ggplot2 package in RStudio. Annotations regarding subcellular localization and transmembrane domain for proteins within each group was gathered using the ‘ID mapping’ function in Uniprot (uniprot.org). Network plot of subcellular localization for each protein was generated using Cytoscape (102).

All heatmaps were generated using tidyHeatmap package in RStudio.

Statistical analysis

Data were expressed as mean ± standard deviation. Statistical analyses were performed using unpaired two-tailed Student’s t-tests for comparisons of 2 groups, one-way ANOVA or two-way ANOVA for group comparisons using GraphPad Prism v10.2.0 (GraphPad Software). Details of each statistical test are given in the legend accompanying each figure. Curve-fitting for enzyme kinetics and other statistical analyses for metabolomics or proteomics are detailed in the appropriate methods.

Supplementary Material

Suppl Materials
suppl tables

Acknowledgments:

The authors thank Dr. C. W. Kombala and Dr. K. Brandvold for sharing fluorogenic bile salt reagents and Dr. M. Stagi and Prof. H. Stenmark for sharing plasmids. We thank Dr. K. Aoki and Prof. M. Tiemeyer for quantification of cellular glycolipid levels and Prof. B. Nagar for consultation on Ntn-hydrolases.

Funding:

National Institutes of Health grant 1R35GM149302 (RZ)

Edward Mallinckrodt, Jr. Foundation Scholar Award (RZ)

National Institutes of Health grant R01CA260249 (RMP)

National Institutes of Health grant R01GM112948 (JAO)

National Institutes of Health grant U54AI170792 (CSC)

Footnotes

Competing interests: R.Z. is co-founder and SAB member of Frontier Medicines, and SAB member of Nine Square Therapeutics.

Data and materials availability:

All data are available in the main text or the supplementary materials. Materials are available upon request.

References and Notes

  • 1.Dobson L, Reményi I, Tusnády GE, The human transmembrane proteome. Biol Direct 10, 31 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Fagerberg L, Jonasson K, von Heijne G, Uhlén M, Berglund L, Prediction of the human membrane proteome. Proteomics 10, 1141–1149 (2010). [DOI] [PubMed] [Google Scholar]
  • 3.Jambrich MA, Tusnady GE, Dobson L, How AlphaFold2 shaped the structural coverage of the human transmembrane proteome. Sci Rep 13, 20283 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Pei J, Cong Q, AFTM: a database of transmembrane regions in the human proteome predicted by AlphaFold. Database (Oxford) 2023, baad008 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.MacGurn JA, Hsu P-C, Emr SD, Ubiquitin and membrane protein turnover: from cradle to grave. Annu Rev Biochem 81, 231–259 (2012). [DOI] [PubMed] [Google Scholar]
  • 6.Raiborg C, Stenmark H, The ESCRT machinery in endosomal sorting of ubiquitylated membrane proteins. Nature 458, 445–452 (2009). [DOI] [PubMed] [Google Scholar]
  • 7.Schulze H, Kolter T, Sandhoff K, Principles of lysosomal membrane degradation: Cellular topology and biochemistry of lysosomal lipid degradation. Biochim Biophys Acta 1793, 674–683 (2009). [DOI] [PubMed] [Google Scholar]
  • 8.Settembre C, Perera RM, Lysosomes as coordinators of cellular catabolism, metabolic signalling and organ physiology. Nat Rev Mol Cell Biol 25, 223–245 (2024). [DOI] [PubMed] [Google Scholar]
  • 9.De Franceschi N, Hamidi H, Alanko J, Sahgal P, Ivaska J, Integrin traffic - the update. J Cell Sci 128, 839–852 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Grecco HE, Schmick M, Bastiaens PIH, Signaling from the living plasma membrane. Cell 144, 897–909 (2011). [DOI] [PubMed] [Google Scholar]
  • 11.Sorkin A, von Zastrow M, Endocytosis and signalling: intertwining molecular networks. Nat Rev Mol Cell Biol 10, 609–622 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Sigismund S, Lanzetti L, Scita G, Di Fiore PP, Endocytosis in the context-dependent regulation of individual and collective cell properties. Nat Rev Mol Cell Biol 22, 625–643 (2021). [DOI] [PubMed] [Google Scholar]
  • 13.Lin CH, MacGurn JA, Chu T, Stefan CJ, Emr SD, Arrestin-related ubiquitin-ligase adaptors regulate endocytosis and protein turnover at the cell surface. Cell 135, 714–725 (2008). [DOI] [PubMed] [Google Scholar]
  • 14.Turk V, Stoka V, Vasiljeva O, Renko M, Sun T, Turk B, Turk D, Cysteine cathepsins: from structure, function and regulation to new frontiers. Biochim Biophys Acta 1824, 68–88 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Commisso C, Davidson SM, Soydaner-Azeloglu RG, Parker SJ, Kamphorst JJ, Hackett S, Grabocka E, Nofal M, Drebin JA, Thompson CB, Rabinowitz JD, Metallo CM, Vander Heiden MG, Bar-Sagi D, Macropinocytosis of protein is an amino acid supply route in Ras-transformed cells. Nature 497, 633–637 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Perera RM, Stoykova S, Nicolay BN, Ross KN, Fitamant J, Boukhali M, Lengrand J, Deshpande V, Selig MK, Ferrone CR, Settleman J, Stephanopoulos G, Dyson NJ, Zoncu R, Ramaswamy S, Haas W, Bardeesy N, Transcriptional control of autophagy-lysosome function drives pancreatic cancer metabolism. Nature 524, 361–365 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Yang S, Wang X, Contino G, Liesa M, Sahin E, Ying H, Bause A, Li Y, Stommel JM, Dell’antonio G, Mautner J, Tonon G, Haigis M, Shirihai OS, Doglioni C, Bardeesy N, Kimmelman AC, Pancreatic cancers require autophagy for tumor growth. Genes Dev 25, 717–729 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Palm W, Park Y, Wright K, Pavlova NN, Tuveson DA, Thompson CB, The Utilization of Extracellular Proteins as Nutrients Is Suppressed by mTORC1. Cell 162, 259–270 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Sønder SL, Häger SC, Heitmann ASB, Frankel LB, Dias C, Simonsen AC, Nylandsted J, Restructuring of the plasma membrane upon damage by LC3-associated macropinocytosis. Sci Adv 7, eabg1969 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Paul D, Stern O, Vallis Y, Dhillon J, Buchanan A, McMahon H, Cell surface protein aggregation triggers endocytosis to maintain plasma membrane proteostasis. Nat Commun 14, 947 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Rose K, Jepson T, Shukla S, Maya-Romero A, Kampmann M, Xu K, Hurley JH, Tau fibrils induce nanoscale membrane damage and nucleate cytosolic tau at lysosomes. Proc Natl Acad Sci U S A 121, e2315690121 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Chen JJ, Nathaniel DL, Raghavan P, Nelson M, Tian R, Tse E, Hong JY, See SK, Mok S-A, Hein MY, Southworth DR, Grinberg LT, Gestwicki JE, Leonetti MD, Kampmann M, Compromised function of the ESCRT pathway promotes endolysosomal escape of tau seeds and propagation of tau aggregation. J Biol Chem 294, 18952–18966 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Bussi C, Mangiarotti A, Vanhille-Campos C, Aylan B, Pellegrino E, Athanasiadi N, Fearns A, Rodgers A, Franzmann TM, Šarić A, Dimova R, Gutierrez MG, Stress granules plug and stabilize damaged endolysosomal membranes. Nature 623, 1062–1069 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Maejima I, Takahashi A, Omori H, Kimura T, Takabatake Y, Saitoh T, Yamamoto A, Hamasaki M, Noda T, Isaka Y, Yoshimori T, Autophagy sequesters damaged lysosomes to control lysosomal biogenesis and kidney injury. EMBO J 32, 2336–2347 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Radulovic M, Schink KO, Wenzel EM, Nähse V, Bongiovanni A, Lafont F, Stenmark H, ESCRT-mediated lysosome repair precedes lysophagy and promotes cell survival. EMBO J 37, e99753 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Skowyra ML, Schlesinger PH, Naismith TV, Hanson PI, Triggered recruitment of ESCRT machinery promotes endolysosomal repair. Science 360, eaar5078 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Tan JX, Finkel T, A phosphoinositide signalling pathway mediates rapid lysosomal repair. Nature 609, 815–821 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Yang H, Tan JX, Lysosomal quality control: molecular mechanisms and therapeutic implications. Trends Cell Biol 33, 749–764 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Zoncu R, Perera RM, Built to last: lysosome remodeling and repair in health and disease. Trends Cell Biol 32, 597–610 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.White SH, Wimley WC, Hydrophobic interactions of peptides with membrane interfaces. Biochim Biophys Acta 1376, 339–352 (1998). [DOI] [PubMed] [Google Scholar]
  • 31.Banik SM, Pedram K, Wisnovsky S, Ahn G, Riley NM, Bertozzi CR, Lysosome-targeting chimaeras for degradation of extracellular proteins. Nature 584, 291–297 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Ahn G, Riley NM, Kamber RA, Wisnovsky S, Moncayo von Hase S, Bassik MC, Banik SM, Bertozzi CR, Elucidating the cellular determinants of targeted membrane protein degradation by lysosome-targeting chimeras. Science 382, eadf6249 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Haney MS, Bohlen CJ, Morgens DW, Ousey JA, Barkal AA, Tsui CK, Ego BK, Levin R, Kamber RA, Collins H, Tucker A, Li A, Vorselen D, Labitigan L, Crane E, Boyle E, Jiang L, Chan J, Rincón E, Greenleaf WJ, Li B, Snyder MP, Weissman IL, Theriot JA, Collins SR, Barres BA, Bassik MC, Identification of phagocytosis regulators using magnetic genome-wide CRISPR screens. Nat Genet 50, 1716–1727 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Lindner B, Martin E, Steininger M, Bundalo A, Lenter M, Zuber J, Schuler M, A genome-wide CRISPR/Cas9 screen to identify phagocytosis modulators in monocytic THP-1 cells. Sci Rep 11, 12973 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Heng TSP, Painter MW, Immunological Genome Project Consortium, The Immunological Genome Project: networks of gene expression in immune cells. Nat Immunol 9, 1091–1094 (2008). [DOI] [PubMed] [Google Scholar]
  • 36.Abu-Remaileh M, Wyant GA, Kim C, Laqtom NN, Abbasi M, Chan SH, Freinkman E, Sabatini DM, Lysosomal metabolomics reveals V-ATPase- and mTOR-dependent regulation of amino acid efflux from lysosomes. Science 358, 807–813 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Davis OB, Shin HR, Lim C-Y, Wu EY, Kukurugya M, Maher CF, Perera RM, Ordonez MP, Zoncu R, NPC1-mTORC1 Signaling Couples Cholesterol Sensing to Organelle Homeostasis and Is a Targetable Pathway in Niemann-Pick Type C. Dev Cell 56, 260–276.e7 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Gupta S, Yano J, Mercier V, Htwe HH, Shin HR, Rademaker G, Cakir Z, Ituarte T, Wen KW, Kim GE, Zoncu R, Roux A, Dawson DW, Perera RM, Lysosomal retargeting of Myoferlin mitigates membrane stress to enable pancreatic cancer growth. Nat Cell Biol 23, 232–242 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Amaravadi RK, Kimmelman AC, Debnath J, Targeting Autophagy in Cancer: Recent Advances and Future Directions. Cancer Discov 9, 1167–1181 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Bryant KL, Stalnecker CA, Zeitouni D, Klomp JE, Peng S, Tikunov AP, Gunda V, Pierobon M, Waters AM, George SD, Tomar G, Papke B, Hobbs GA, Yan L, Hayes TK, Diehl JN, Goode GD, Chaika NV, Wang Y, Zhang G-F, Witkiewicz AK, Knudsen ES, Petricoin EF, Singh PK, Macdonald JM, Tran NL, Lyssiotis CA, Ying H, Kimmelman AC, Cox AD, Der CJ, Combination of ERK and autophagy inhibition as a treatment approach for pancreatic cancer. Nat Med 25, 628–640 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Kinsey CG, Camolotto SA, Boespflug AM, Guillen KP, Foth M, Truong A, Schuman SS, Shea JE, Seipp MT, Yap JT, Burrell LD, Lum DH, Whisenant JR, Gilcrease GW, Cavalieri CC, Rehbein KM, Cutler SL, Affolter KE, Welm AL, Welm BE, Scaife CL, Snyder EL, McMahon M, Protective autophagy elicited by RAF→MEK→ERK inhibition suggests a treatment strategy for RAS-driven cancers. Nat Med 25, 620–627 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Zoncu R, Perera RM, Emerging roles of the MiT/TFE factors in cancer. Trends Cancer 9, 817–827 (2023). [DOI] [PubMed] [Google Scholar]
  • 43.Repo H, Kuokkanen E, Oksanen E, Goldman A, Heikinheimo P, Is the bovine lysosomal phospholipase B-like protein an amidase? Proteins 82, 300–311 (2014). [DOI] [PubMed] [Google Scholar]
  • 44.Xu S, Zhao L, Larsson A, Venge P, The identification of a phospholipase B precursor in human neutrophils. FEBS J 276, 175–186 (2009). [DOI] [PubMed] [Google Scholar]
  • 45.Gambardella G, Staiano L, Moretti MN, De Cegli R, Fagnocchi L, Di Tullio G, Polletti S, Braccia C, Armirotti A, Zippo A, Ballabio A, De Matteis MA, di Bernardo D, GADD34 is a modulator of autophagy during starvation. Sci Adv 6, eabb0205 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Rogov V, Dötsch V, Johansen T, Kirkin V, Interactions between autophagy receptors and ubiquitin-like proteins form the molecular basis for selective autophagy. Mol Cell 53, 167–178 (2014). [DOI] [PubMed] [Google Scholar]
  • 47.Zaffagnini G, Martens S, Mechanisms of Selective Autophagy. J Mol Biol 428, 1714–1724 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Zellner S, Schifferer M, Behrends C, Systematically defining selective autophagy receptor-specific cargo using autophagosome content profiling. Mol Cell 81, 1337–1354.e8 (2021). [DOI] [PubMed] [Google Scholar]
  • 49.Wang H, Rubinstein JL, CryoEM of V-ATPases: Assembly, disassembly, and inhibition. Curr Opin Struct Biol 80, 102592 (2023). [DOI] [PubMed] [Google Scholar]
  • 50.Ponsford AH, Ryan TA, Raimondi A, Cocucci E, Wycislo SA, Fröhlich F, Swan LE, Stagi M, Live imaging of intra-lysosome pH in cell lines and primary neuronal culture using a novel genetically encoded biosensor. Autophagy 17, 1500–1518 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Oinonen C, Rouvinen J, Structural comparison of Ntn-hydrolases. Protein Sci 9, 2329–2337 (2000). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Tunyasuvunakool K, Adler J, Wu Z, Green T, Zielinski M, Žídek A, Bridgland A, Cowie A, Meyer C, Laydon A, Velankar S, Kleywegt GJ, Bateman A, Evans R, Pritzel A, Figurnov M, Ronneberger O, Bates R, Kohl SAA, Potapenko A, Ballard AJ, Romera-Paredes B, Nikolov S, Jain R, Clancy E, Reiman D, Petersen S, Senior AW, Kavukcuoglu K, Birney E, Kohli P, Jumper J, Hassabis D, Highly accurate protein structure prediction for the human proteome. Nature 596, 590–596 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Breiden B, Sandhoff K, Lysosomal Glycosphingolipid Storage Diseases. Annu Rev Biochem 88, 461–485 (2019). [DOI] [PubMed] [Google Scholar]
  • 54.Heremans IP, Caligiore F, Gerin I, Bury M, Lutz M, Graff J, Stroobant V, Vertommen D, Teleman AA, Van Schaftingen E, Bommer GT, Parkinson’s disease protein PARK7 prevents metabolite and protein damage caused by a glycolytic metabolite. Proc Natl Acad Sci U S A 119, e2111338119 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Rohweder PJ, Jiang Z, Hurysz BM, O’Donoghue AJ, Craik CS, Multiplex substrate profiling by mass spectrometry for proteases. Methods Enzymol 682, 375–411 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Eisenberg D, Three-dimensional structure of membrane and surface proteins. Annu Rev Biochem 53, 595–623 (1984). [DOI] [PubMed] [Google Scholar]
  • 57.Eisenberg D, Weiss RM, Terwilliger TC, The helical hydrophobic moment: a measure of the amphiphilicity of a helix. Nature 299, 371–374 (1982). [DOI] [PubMed] [Google Scholar]
  • 58.Lobert VH, Brech A, Pedersen NM, Wesche J, Oppelt A, Malerød L, Stenmark H, Ubiquitination of alpha 5 beta 1 integrin controls fibroblast migration through lysosomal degradation of fibronectin-integrin complexes. Dev Cell 19, 148–159 (2010). [DOI] [PubMed] [Google Scholar]
  • 59.Heerklotz H, Interactions of surfactants with lipid membranes. Q Rev Biophys 41, 205–264 (2008). [DOI] [PubMed] [Google Scholar]
  • 60.Repnik U, Borg Distefano M, Speth MT, Ng MYW, Progida C, Hoflack B, Gruenberg J, Griffiths G, L-leucyl-L-leucine methyl ester does not release cysteine cathepsins to the cytosol but inactivates them in transiently permeabilized lysosomes. J Cell Sci 130, 3124–3140 (2017). [DOI] [PubMed] [Google Scholar]
  • 61.Ulmschneider MB, Smith JC, Ulmschneider JP, Peptide partitioning properties from direct insertion studies. Biophys J 98, L60–62 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Gahlot P, Kravic B, Rota G, van den Boom J, Levantovsky S, Schulze N, Maspero E, Polo S, Behrends C, Meyer H, Lysosomal damage sensing and lysophagy initiation by SPG20-ITCH. Mol Cell 84, 1556–1569.e10 (2024). [DOI] [PubMed] [Google Scholar]
  • 63.Thiele DL, Lipsky PE, Mechanism of L-leucyl-L-leucine methyl ester-mediated killing of cytotoxic lymphocytes: dependence on a lysosomal thiol protease, dipeptidyl peptidase I, that is enriched in these cells. Proc Natl Acad Sci U S A 87, 83–87 (1990). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Perera RM, Bardeesy N, Pancreatic Cancer Metabolism: Breaking It Down to Build It Back Up. Cancer Discov 5, 1247–1261 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Matsui M, Fowler JH, Walling LL, Leucine aminopeptidases: diversity in structure and function. Biol Chem 387, 1535–1544 (2006). [DOI] [PubMed] [Google Scholar]
  • 66.Meyer H, Kravic B, The Endo-Lysosomal Damage Response. Annu Rev Biochem, doi: 10.1146/annurev-biochem-030222-102505 (2024). [DOI] [PubMed] [Google Scholar]
  • 67.Pechincha C, Groessl S, Kalis R, de Almeida M, Zanotti A, Wittmann M, Schneider M, de Campos RP, Rieser S, Brandstetter M, Schleiffer A, Müller-Decker K, Helm D, Jabs S, Haselbach D, Lemberg MK, Zuber J, Palm W, Lysosomal enzyme trafficking factor LYSET enables nutritional usage of extracellular proteins. Science 378, eabn5637 (2022). [DOI] [PubMed] [Google Scholar]
  • 68.Lakomek K, Dickmanns A, Kettwig M, Urlaub H, Ficner R, Lübke T, Initial insight into the function of the lysosomal 66.3 kDa protein from mouse by means of X-ray crystallography. BMC Struct Biol 9, 56 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Takahashi T, Dehdarani AH, Tang J, Porcine spleen cathepsin H hydrolyzes oligopeptides solely by aminopeptidase activity. J Biol Chem 263, 10952–10957 (1988). [PubMed] [Google Scholar]
  • 70.Behnke J, Schneppenheim J, Koch-Nolte F, Haag F, Saftig P, Schröder B, Signal-peptide-peptidase-like 2a (SPPL2a) is targeted to lysosomes/late endosomes by a tyrosine motif in its C-terminal tail. FEBS Lett 585, 2951–2957 (2011). [DOI] [PubMed] [Google Scholar]
  • 71.Manuyakorn A, Paulus R, Farrell J, Dawson NA, Tze S, Cheung-Lau G, Hines OJ, Reber H, Seligson DB, Horvath S, Kurdistani SK, Guha C, Dawson DW, Cellular histone modification patterns predict prognosis and treatment response in resectable pancreatic adenocarcinoma: results from RTOG 9704. J Clin Oncol 28, 1358–1365 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Stirling DR, Swain-Bowden MJ, Lucas AM, Carpenter AE, Cimini BA, Goodman A, CellProfiler 4: improvements in speed, utility and usability. BMC Bioinformatics 22, 433 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Beckwith KS, Beckwith MS, Ullmann S, Sætra RS, Kim H, Marstad A, Åsberg SE, Strand TA, Haug M, Niederweis M, Stenmark HA, Flo TH, Plasma membrane damage causes NLRP3 activation and pyroptosis during Mycobacterium tuberculosis infection. Nat Commun 11, 2270 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Bedia C, Camacho L, Abad JL, Fabriàs G, Levade T, A simple fluorogenic method for determination of acid ceramidase activity and diagnosis of Farber disease. J Lipid Res 51, 3542–3547 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Brandvold KR, Weaver JM, Whidbey C, Wright AT, A continuous fluorescence assay for simple quantification of bile salt hydrolase activity in the gut microbiome. Sci Rep 9, 1359 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Benjamin DI, Cozzo A, Ji X, Roberts LS, Louie SM, Mulvihill MM, Luo K, Nomura DK, Ether lipid generating enzyme AGPS alters the balance of structural and signaling lipids to fuel cancer pathogenicity. Proc Natl Acad Sci U S A 110, 14912–14917 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Ito M, Kurita T, Kita K, A novel enzyme that cleaves the N-acyl linkage of ceramides in various glycosphingolipids as well as sphingomyelin to produce their lyso forms. J Biol Chem 270, 24370–24374 (1995). [DOI] [PubMed] [Google Scholar]
  • 78.Koelmel JP, Kroeger NM, Gill EL, Ulmer CZ, Bowden JA, Patterson RE, Yost RA, Garrett TJ, Expanding Lipidome Coverage Using LC-MS/MS Data-Dependent Acquisition with Automated Exclusion List Generation. J Am Soc Mass Spectrom 28, 908–917 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Ewald JD, Zhou G, Lu Y, Kolic J, Ellis C, Johnson JD, Macdonald PE, Xia J, Web-based multi-omics integration using the Analyst software suite. Nat Protoc, doi: 10.1038/s41596-023-00950-4 (2024). [DOI] [PubMed] [Google Scholar]
  • 80.Coulier L, Bas R, Jespersen S, Verheij E, van der Werf MJ, Hankemeier T, Simultaneous quantitative analysis of metabolites using ion-pair liquid chromatography-electrospray ionization mass spectrometry. Anal Chem 78, 6573–6582 (2006). [DOI] [PubMed] [Google Scholar]
  • 81.Tyanova S, Temu T, Sinitcyn P, Carlson A, Hein MY, Geiger T, Mann M, Cox J, The Perseus computational platform for comprehensive analysis of (prote)omics data. Nat Methods 13, 731–740 (2016). [DOI] [PubMed] [Google Scholar]
  • 82.O’Donoghue AJ, Eroy-Reveles AA, Knudsen GM, Ingram J, Zhou M, Statnekov JB, Greninger AL, Hostetter DR, Qu G, Maltby DA, Anderson MO, Derisi JL, McKerrow JH, Burlingame AL, Craik CS, Global identification of peptidase specificity by multiplex substrate profiling. Nat Methods 9, 1095–1100 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Colaert N, Helsens K, Martens L, Vandekerckhove J, Gevaert K, Improved visualization of protein consensus sequences by iceLogo. Nat Methods 6, 786–787 (2009). [DOI] [PubMed] [Google Scholar]
  • 84.da Veiga Leprevost F, Haynes SE, Avtonomov DM, Chang H-Y, Shanmugam AK, Mellacheruvu D, Kong AT, Nesvizhskii AI, Philosopher: a versatile toolkit for shotgun proteomics data analysis. Nat Methods 17, 869–870 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Kong AT, Leprevost FV, Avtonomov DM, Mellacheruvu D, Nesvizhskii AI, MSFragger: ultrafast and comprehensive peptide identification in mass spectrometry-based proteomics. Nat Methods 14, 513–520 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Nesvizhskii AI, Keller A, Kolker E, Aebersold R, A statistical model for identifying proteins by tandem mass spectrometry. Anal Chem 75, 4646–4658 (2003). [DOI] [PubMed] [Google Scholar]
  • 87.Teo GC, Polasky DA, Yu F, Nesvizhskii AI, Fast Deisotoping Algorithm and Its Implementation in the MSFragger Search Engine. J Proteome Res 20, 498–505 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Yang KL, Yu F, Teo GC, Li K, Demichev V, Ralser M, Nesvizhskii AI, MSBooster: improving peptide identification rates using deep learning-based features. Nat Commun 14, 4539 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Yu F, Haynes SE, Nesvizhskii AI, IonQuant Enables Accurate and Sensitive Label-Free Quantification With FDR-Controlled Match-Between-Runs. Mol Cell Proteomics 20, 100077 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Abraham DJ, Leo AJ, Extension of the fragment method to calculate amino acid zwitterion and side chain partition coefficients. Proteins 2, 130–152 (1987). [DOI] [PubMed] [Google Scholar]
  • 91.Cancer Genome Atlas Research Network, Weinstein JN, Collisson EA, Mills GB, Shaw KRM, Ozenberger BA, Ellrott K, Shmulevich I, Sander C, Stuart JM, The Cancer Genome Atlas Pan-Cancer analysis project. Nat Genet 45, 1113–1120 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Gene Ontology Consortium, Aleksander SA, Balhoff J, Carbon S, Cherry JM, Drabkin HJ, Ebert D, Feuermann M, Gaudet P, Harris NL, Hill DP, Lee R, Mi H, Moxon S, Mungall CJ, Muruganugan A, Mushayahama T, Sternberg PW, Thomas PD, Van Auken K, Ramsey J, Siegele DA, Chisholm RL, Fey P, Aspromonte MC, Nugnes MV, Quaglia F, Tosatto S, Giglio M, Nadendla S, Antonazzo G, Attrill H, Dos Santos G, Marygold S, Strelets V, Tabone CJ, Thurmond J, Zhou P, Ahmed SH, Asanitthong P, Luna Buitrago D, Erdol MN, Gage MC, Ali Kadhum M, Li KYC, Long M, Michalak A, Pesala A, Pritazahra A, Saverimuttu SCC, Su R, Thurlow KE, Lovering RC, Logie C, Oliferenko S, Blake J, Christie K, Corbani L, Dolan ME, Drabkin HJ, Hill DP, Ni L, Sitnikov D, Smith C, Cuzick A, Seager J, Cooper L, Elser J, Jaiswal P, Gupta P, Jaiswal P, Naithani S, Lera-Ramirez M, Rutherford K, Wood V, De Pons JL, Dwinell MR, Hayman GT, Kaldunski ML, Kwitek AE, Laulederkind SJF, Tutaj MA, Vedi M, Wang S-J, D’Eustachio P, Aimo L, Axelsen K, Bridge A, Hyka-Nouspikel N, Morgat A, Aleksander SA, Cherry JM, Engel SR, Karra K, Miyasato SR, Nash RS, Skrzypek MS, Weng S, Wong ED, Bakker E, Berardini TZ, Reiser L, Auchincloss A, Axelsen K, Argoud-Puy G, Blatter M-C, Boutet E, Breuza L, Bridge A, Casals-Casas C, Coudert E, Estreicher A, Livia Famiglietti M, Feuermann M, Gos A, Gruaz-Gumowski N, Hulo C, Hyka-Nouspikel N, Jungo F, Le Mercier P, Lieberherr D, Masson P, Morgat A, Pedruzzi I, Pourcel L, Poux S, Rivoire C, Sundaram S, Bateman A, Bowler-Barnett E, Bye-A-Jee H, Denny P, Ignatchenko A, Ishtiaq R, Lock A, Lussi Y, Magrane M, Martin MJ, Orchard S, Raposo P, Speretta E, Tyagi N, Warner K, Zaru R, Diehl AD, Lee R, Chan J, Diamantakis S, Raciti D, Zarowiecki M, Fisher M, James-Zorn C, Ponferrada V, Zorn A, Ramachandran S, Ruzicka L, Westerfield M, The Gene Ontology knowledgebase in 2023. Genetics 224, iyad031 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Uhlen M, Zhang C, Lee S, Sjöstedt E, Fagerberg L, Bidkhori G, Benfeitas R, Arif M, Liu Z, Edfors F, Sanli K, von Feilitzen K, Oksvold P, Lundberg E, Hober S, Nilsson P, Mattsson J, Schwenk JM, Brunnström H, Glimelius B, Sjöblom T, Edqvist P-H, Djureinovic D, Micke P, Lindskog C, Mardinoglu A, Ponten F, A pathology atlas of the human cancer transcriptome. Science 357, eaan2507 (2017). [DOI] [PubMed] [Google Scholar]
  • 94.Mi H, Muruganujan A, Huang X, Ebert D, Mills C, Guo X, Thomas PD, Protocol Update for large-scale genome and gene function analysis with the PANTHER classification system (v.14.0). Nat Protoc 14, 703–721 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Thomas PD, Ebert D, Muruganujan A, Mushayahama T, Albou L-P, Mi H, PANTHER: Making genome-scale phylogenetics accessible to all. Protein Sci 31, 8–22 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Badea L, Herlea V, Dima SO, Dumitrascu T, Popescu I, Combined gene expression analysis of whole-tissue and microdissected pancreatic ductal adenocarcinoma identifies genes specifically overexpressed in tumor epithelia. Hepatogastroenterology 55, 2016–2027 (2008). [PubMed] [Google Scholar]
  • 97.Ellsworth KA, Eckloff BW, Li L, Moon I, Fridley BL, Jenkins GD, Carlson E, Brisbin A, Abo R, Bamlet W, Petersen G, Wieben ED, Wang L, Contribution of FKBP5 genetic variation to gemcitabine treatment and survival in pancreatic adenocarcinoma. PLoS One 8, e70216 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.Yang S, He P, Wang J, Schetter A, Tang W, Funamizu N, Yanaga K, Uwagawa T, Satoskar AR, Gaedcke J, Bernhardt M, Ghadimi BM, Gaida MM, Bergmann F, Werner J, Ried T, Hanna N, Alexander HR, Hussain SP, A Novel MIF Signaling Pathway Drives the Malignant Character of Pancreatic Cancer by Targeting NR3C2. Cancer Res 76, 3838–3850 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Ghandi M, Huang FW, Jané-Valbuena J, Kryukov GV, Lo CC, McDonald ER, Barretina J, Gelfand ET, Bielski CM, Li H, Hu K, Andreev-Drakhlin AY, Kim J, Hess JM, Haas BJ, Aguet F, Weir BA, Rothberg MV, Paolella BR, Lawrence MS, Akbani R, Lu Y, Tiv HL, Gokhale PC, de Weck A, Mansour AA, Oh C, Shih J, Hadi K, Rosen Y, Bistline J, Venkatesan K, Reddy A, Sonkin D, Liu M, Lehar J, Korn JM, Porter DA, Jones MD, Golji J, Caponigro G, Taylor JE, Dunning CM, Creech AL, Warren AC, McFarland JM, Zamanighomi M, Kauffmann A, Stransky N, Imielinski M, Maruvka YE, Cherniack AD, Tsherniak A, Vazquez F, Jaffe JD, Lane AA, Weinstock DM, Johannessen CM, Morrissey MP, Stegmeier F, Schlegel R, Hahn WC, Getz G, Mills GB, Boehm JS, Golub TR, Garraway LA, Sellers WR, Next-generation characterization of the Cancer Cell Line Encyclopedia. Nature 569, 503–508 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Florens L, Carozza MJ, Swanson SK, Fournier M, Coleman MK, Workman JL, Washburn MP, Analyzing chromatin remodeling complexes using shotgun proteomics and normalized spectral abundance factors. Methods 40, 303–311 (2006). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101.Paoletti AC, Parmely TJ, Tomomori-Sato C, Sato S, Zhu D, Conaway RC, Conaway JW, Florens L, Washburn MP, Quantitative proteomic analysis of distinct mammalian Mediator complexes using normalized spectral abundance factors. Proc Natl Acad Sci U S A 103, 18928–18933 (2006). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D, Amin N, Schwikowski B, Ideker T, Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res 13, 2498–2504 (2003). [DOI] [PMC free article] [PubMed] [Google Scholar]

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