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Nature Communications logoLink to Nature Communications
. 2024 Jul 18;15:6073. doi: 10.1038/s41467-024-50493-9

Cell-selective proteomics reveal novel effectors secreted by an obligate intracellular bacterial pathogen

Allen G Sanderlin 1, Hannah Kurka Margolis 1, Abigail F Meyer 1, Rebecca L Lamason 1,
PMCID: PMC11258249  PMID: 39025857

Abstract

Pathogenic bacteria secrete protein effectors to hijack host machinery and remodel their infectious niche. Rickettsia spp. are obligate intracellular bacteria that can cause life-threatening disease, but their absolute dependence on the host cell has impeded discovery of rickettsial effectors and their host targets. We implemented bioorthogonal non-canonical amino acid tagging (BONCAT) during R. parkeri infection to selectively label, isolate, and identify effectors delivered into the host cell. As the first use of BONCAT in an obligate intracellular bacterium, our screen more than doubles the number of experimentally validated effectors for the genus. The seven novel secreted rickettsial factors (Srfs) we identified include Rickettsia-specific proteins of unknown function that localize to the host cytoplasm, mitochondria, and ER. We further show that one such effector, SrfD, interacts with the host Sec61 translocon. Altogether, our work uncovers a diverse set of previously uncharacterized rickettsial effectors and lays the foundation for a deeper exploration of the host-pathogen interface.

Subject terms: Bacterial techniques and applications, Proteomic analysis, Bacterial infection


Rickettsia species secrete effector proteins into host cells to promote infection, but few effectors have been identified. Here, Sanderlin et al use a protein labeling approach to identify an expanded repertoire of effectors acting at the host-pathogen interface.

Introduction

Rickettsia spp. are Gram-negative bacteria that live exclusively inside eukaryotic host cells. Members of this genus include arthropod-borne pathogens that cause typhus and spotted fever diseases in humans and pose a significant global health risk1,2. By virtue of their intimate connection with the intracellular niche, these bacteria are poised to exploit host cell biology. Rickettsia spp., like other intracellular pathogens, secrete protein effectors to subvert diverse host cell processes, but their obligate intracellular lifestyle has precluded a detailed investigation of the host-pathogen interface3. Identifying such effectors and their host cell targets is an essential first step towards a mechanistic understanding of rickettsial biology and pathogenesis.

Extensive efforts to characterize proteins secreted to the rickettsial surface have revealed unique ways that these bacteria interact with host cell machinery. For example, the major outer membrane proteins OmpA and OmpB mediate host cell invasion4,5, and the surface proteins Sca2 and RickA polymerize actin to drive motility within the host cytoplasm6. Furthermore, biochemical studies have identified myriad surface proteins that could likewise support the rickettsial life cycle711. Despite these advances, however, the subset of secreted proteins that Rickettsia spp. deliver into the host cell to drive infection has remained elusive; recent studies have characterized only a handful of such secreted rickettsial factors. For example, the effector Sca4 inhibits host vinculin and promotes rickettsial cell-to-cell spread12. RARP-2, a predicted protease, disrupts the trans-Golgi network during infection13,14. Moreover, the phospholipases Pat1 and Pat2 may both mediate escape from membrane-bound vacuoles15,16, whereas Risk1 and RalF directly and indirectly manipulate host membrane phosphoinositides1719. Aside from these six experimentally validated effectors, however, the effector arsenals of Rickettsia spp. remain a mystery. Given that other bacterial pathogens secrete dozens if not hundreds of effectors into the host cell2024, there is a pressing need to identify new rickettsial effectors.

An expanding suite of biochemical, genetic, and in silico methods has facilitated the identification of secreted effectors in a variety of bacterial pathogens. For example, effectors have been identified from bacteria grown in broth by fractionation and proteomic analysis2527. Reporter fusion libraries have enabled large-scale screens for secreted proteins28,29, and heterologous expression by surrogate hosts has provided support for putative effectors of genetically intractable bacteria3032. Computational tools, used in parallel with the above strategies, have highlighted core features of verified effectors to identify new candidate effectors24,33.

However, reappropriating these methods for the discovery of rickettsial effectors remains a challenge. Axenic culture of Rickettsia spp. is not yet possible34, and thus biochemical identification of secreted effectors must contend with overwhelmingly abundant host material35. Likewise, scalable reporter screens are limited by the inefficient transformation of these bacteria3,34. The short list of experimentally validated rickettsial effectors has hindered in silico identification of new candidates, especially if they lack the sequence features found in the larger effector repertoires of well-studied bacteria36. Heterologous expression bypasses these obstacles, but the secretion of a candidate effector ex situ does not prove its secretion during rickettsial infection. Through two-hybrid and co-immunoprecipitation approaches13,17,18, a series of rvh effector molecules (REMs) has been identified based on interactions with the Rickettsiales vir homolog (rvh) type IV secretion coupling protein RvhD437. Bioinformatic analyses have highlighted additional candidate REMs by virtue of their similarity to existing REMs, but secretion for many of these proteins has not yet been experimentally validated. Furthermore, interactions with RvhD4 are not conclusive proof of secretion because many of the other proteins that co-immunoprecipitate with RvhD4 include housekeeping proteins that are presumably not secreted into the host cell17. Unfortunately, the lack of a secretion-null Rickettsia mutant precludes validation of any effector as a true rvh substrate. Thus, alternative approaches are necessary to identify new secreted effectors.

Labeling strategies that enable the isolation of secreted effectors from the host cell milieu may circumvent these issues while remaining secretion system-agnostic. For example, bioorthogonal non-canonical amino acid tagging (BONCAT) permits metabolic labeling of newly synthesized proteins with amino acid analogs38. Labeling is restricted to cells expressing a mutant methionyl-tRNA synthetase (MetRS*) which, unlike the wild-type synthetase (WT MetRS), can accommodate the azide-functionalized methionine analog azidonorleucine (Anl)39. Anl-labeled proteins are then chemoselectively tagged with alkyne-functionalized probes by click chemistry for visualization or pull-down followed by mass spectrometry. This approach has been adapted to a variety of bacterial pathogens, including Salmonella typhimurium40, Yersinia enterocolitica41, Mycobacterium tuberculosis42, and Burkholderia thailandensis43, enabling selective labeling and isolation of bacterial proteins during infection.

We therefore implemented cell-selective BONCAT during infection with the obligate intracellular bacterium Rickettsia parkeri. Using this approach, we detected both known and novel secreted effectors, including proteins of unknown function found only in the Rickettsia genus. In addition to confirming their secretion, we demonstrate diverse localization patterns for these new effectors. Moreover, we show that the secreted effector SrfD localizes to the endoplasmic reticulum (ER) where it interacts with the host Sec61 complex. Our findings expand the toolkit for exploring rickettsial biology, which will provide much-needed insight into how these pathogens engage with the host cell niche.

Results

BONCAT permits selective labeling of rickettsial proteins

We sought to identify new effectors secreted during rickettsial infection. We needed an approach that would overcome the limitations associated with the rickettsial lifestyle and enable the detection of low abundance effectors in the host cytoplasmic milieu35. Inspired by the use of cell-selective BONCAT with facultative intracellular bacteria, we adapted this technique to the obligate intracellular bacterial pathogen, R. parkeri, to label rickettsial proteins for subsequent identification (Fig. 1a). We first generated R. parkeri harboring a plasmid encoding MetRS*. To determine if MetRS* expression adversely impacted rickettsial infection, we performed infectious focus assays in A549 host cell monolayers. We found that infectious foci formed by the MetRS* strain were indistinguishable in both size and bacterial load from those formed by the WT strain (Fig. 1b, c), indicating that MetRS* expression does not impede cell-to-cell spread or bacterial growth, respectively.

Fig. 1. BONCAT permits selective labeling of rickettsial proteins.

Fig. 1

a Schematic of BONCAT approach. Rickettsia parkeri expressing a mutant methionyl-tRNA synthetase (MetRS*) incorporates the Met analog azidonorleucine (Anl) into nascent proteins, some of which are secreted into the host cell during infection. Anl-labeled proteins (blue circle), but not unlabeled proteins (gray circle), are tagged (red star) by click chemistry. Wild-type (WT) MetRS cannot accommodate Anl. b Infected cells and c bacteria per focus during infection of A549 cells by WT or MetRS* R. parkeri. The means from n = 3 independent experiments (squares) are superimposed over the raw data (circles) and were used to calculate the means ± SD and p-values (unpaired two-tailed t-test, t = 0.206 and 0.297, df = 4). Data are shaded by replicate experiments. d Images of WT and MetRS* R. parkeri treated with (+) or without (–) Anl during infection of A549 cells (Hoechst, blue). Bacteria were permeabilized and stained (red), and Anl-labeled proteins were detected by tagging with an alkyne-functionalized fluorescent dye (cyan). Scale bar, 10 μm (inset, 1 μm). e Western blot for biotin in lysates harvested from A549 cells infected with WT or MetRS* R. parkeri with (+) or without (–) Anl treatment. Infected host cells were selectively lysed to separate supernatants containing the infected host cytoplasm from pellets containing intact bacteria. Anl-labeled proteins were detected by tagging with alkyne-functionalized biotin. Asterisks indicate putative secreted effector bands. Results for (d) and (e) are representative of at least three independent experiments. Source data are provided as a Source Data file.

Having confirmed that R. parkeri tolerates MetRS* expression, we next tested the functionality of MetRS* to label rickettsial proteins. We infected A549 cells for two days and then treated infected cells with Anl for 3 h prior to fixation. To visualize the incorporation of Anl by fluorescence microscopy, we tagged labeled proteins with an alkyne-functionalized fluorophore. As expected, labeling was restricted to MetRS* bacteria following treatment with Anl (Fig. 1d). To evaluate labeling of secreted and non-secreted proteins during infection, we used a previously established selective lysis protocol to separate the infected host cytoplasm from intact bacteria after 3 h of Anl labeling44. We then tagged labeled proteins from each fraction with alkyne-functionalized biotin and detected them by Western blotting. Consistent with our microscopy results, only the MetRS* strain exhibited appreciable labeling following treatment with Anl (Fig. 1e). Within this Anl-labeled, MetRS*-infected sample, the pellet fraction yielded a smear of bands, as expected for proteome-wide incorporation of Anl. Furthermore, the supernatant fraction contained several unique bands not found after infection with WT bacteria similarly treated with Anl (Fig. 1e, lane 4 versus lane 2). Altogether, these findings demonstrate that BONCAT can be used to selectively label proteins produced by obligate intracellular bacteria during infection.

BONCAT identifies known and novel secreted effectors

We hypothesized that the unique bands present in the supernatant fraction during infection with MetRS* bacteria represented secreted rickettsial effectors. To identify these effectors, we infected cells for two days, labeled with Anl during the last 5 h of infection, tagged cytoplasmic fractions with alkyne-functionalized biotin as before, and isolated biotinylated proteins using streptavidin resin. We then analyzed these pull-downs by mass spectrometry to identify rickettsial proteins (Fig. 2, Supplementary Data 1).

Fig. 2. BONCAT identifies novel secreted rickettsial factors (Srfs) that are structurally diverse and variably conserved.

Fig. 2

R. parkeri protein hits identified from infected host cytoplasmic lysates using BONCAT include proteins that had been experimentally validated as secreted effectors in previous studies (light blue), autotransporter proteins (dark blue), and the novel secreted effectors SrfA–G (beige). Hit calling is described in the “Methods” section. Protein lengths, putative domains, and structural motifs are indicated for SrfA–G. CC coiled coil, ARMR armadillo-like repeats, TM transmembrane helix, PPR pentapeptide repeats, DUF Pfam domain of the unknown function. BLAST E-values were computed to evaluate the similarity between R. parkeri SrfA–G and putative homologs in select members of the Rickettsia genus. Species lacking a detected Srf homolog were left blank. co R. conorii, ri R. rickettsii, pe R. peacockii, mt R. montanensis, Ip Rickettsia endosymbiont of Ixodes pacificus, mn R. monacensis, bu R. buchneri, fe R. felis, ak R. akari, pr R. prowazekii, ty R. typhi, he R. helvetica, ca R. canadensis, be R. bellii, Bt Rickettsia endosymbiont of Bemisia tabaci MEAM1, Pp Rickettsia endosymbiont of Pyrocoelia pectoralis. Source data are provided as a Source Data file.

This analysis yielded twelve hits, several of which had been previously studied. Importantly, these included proteins previously characterized as secreted effectors, providing validation of our approach. We identified the patatin-like phospholipase A2 enzyme Pat116, the ankyrin repeat protein RARP-213, and the phosphatidylinositol 3-kinase Risk117, all known secreted effectors. The autotransporter proteins Sca1 and OmpA were also identified in the supernatant fraction despite their localization to the bacterial outer membrane45. However, both Sca1 and OmpA are post-translationally processed4648, and the tryptic peptides from our experiments mapped exclusively to their surface-exposed passenger domains (Supplementary Fig. 1), suggesting that we detected the cleavage-dependent release of surface proteins into the host cytoplasm. A high abundance of internal rickettsial proteins was not robustly detected with this approach8, confirming that contamination of the supernatant fraction from adventitious bacterial lysis was minimal.

The remaining proteins identified in our screen include seven putative secreted rickettsial factors (SrfA–G). SrfA is a predicted N-acetylmuramoyl-L-alanine amidase and the R. conorii homolog RC0497 exhibits peptidoglycan hydrolase activity49. The hypothetical protein SrfD has partial sequence homology to uncharacterized pentapeptide repeat-containing proteins in diverse taxa, but only Rickettsia spp. encode homologs of full-length SrfD. The remaining Srfs are hypothetical proteins with no sequence homology outside the Rickettsia genus. For further insight into these hypothetical proteins, we used a variety of remote homology prediction tools to identify putative domains5053. In addition to transmembrane helices, several Srfs are predicted to contain potential protein-protein interaction motifs, such as α-superhelical armadillo-like repeats, β-solenoid-forming pentapeptide repeats, and coiled coils5456. Finally, SrfE and SrfG contain the Rickettsia-specific domains of unknown function DUF5460 and DUF5410, respectively. In a recent bioinformatic analysis37, SrfG was nominated as a candidate REM (cREM-2b) but had not been validated as a secreted effector or RvhD4 interaction partner in that work.

The Srfs are variably conserved within the Rickettsia genus. For example, homologs of SrfE are found across the genus, whereas SrfB homologs are only present in a subset of species. Some Srf homologs are fragmented (e.g., R. felis SrfB) or otherwise highly divergent from the R. parkeri Srf (e.g., R. typhi SrfF), suggesting that Srf function is not strictly shared between all species. Furthermore, the presence or absence of a given Srf homolog appears to be independent of pathogenicity: pathogenic (cf., R. rickettsii str. Sheila Smith and R. typhi) and non-pathogenic (cf., R. peacockii and R. buchneri) species alike encode either full sets of Srf homologs or are missing particular Srfs.

Additionally, the srf loci are scattered across the R. parkeri genome (Supplementary Fig. 2a), in contrast to the effector gene clusters (pathogenicity islands) observed in more well-studied pathogens57. The fact that the srf loci are not obvious from studies of rickettsial genome architecture reinforces the value of experimentally identifying effectors secreted by these bacteria. Similar to known secreted rickettsial effectors (e.g., RARP-2), the Srfs are also not encoded proximal to components of either the type IV (T4SS: rvhBD) or type I (T1SS: tolC, aprDE) secretion systems, which may mediate Srf export to the host cell58. Moreover, in silico T4SS effector search tools do not clearly predict SrfA–G as likely effectors36,59. Similarly, SrfA–G lack the glycine-rich repeat motifs common in T1SS effectors60. The limitations of such bioinformatic methods for Srf identification underscore the utility of our proteomics-based approach to uncover putative rickettsial effectors.

The srf gene neighborhoods are largely conserved across the Rickettsia genus (Supplementary Fig. 2b), and the flanking genes are often intact even in species where a particular srf is fragmented or absent. Furthermore, with the exception of the srfG and cREM-2a gene pair encoding DUF5410-containing proteins37, there is no obvious functional link between the srf genes and the conserved flanking genes. In contrast to their secreted effector neighbors, the proteins encoded by these flanking genes include those involved in housekeeping functions like DNA repair and recombination (e.g., XerD, RadA, and RecO), tRNA and rRNA modification (e.g., TsaB, RluB, RsmD, and MnmE), translational initiation (InfB), and peptidoglycan processing (Slt and IdcA). Altogether, these findings motivate a more comprehensive analysis of srf evolution and diversification in future work.

Srfs are secreted by R. parkeri into the host cell during infection

We next sought to confirm the secretion of SrfA–G by R. parkeri using a previously validated orthogonal approach. We generated R. parkeri strains expressing Srfs with glycogen synthase kinase (GSK) tags and infected Vero host cells. Upon secretion into the host cytoplasm, GSK-tagged proteins are phosphorylated by host kinases61. This well-established strategy does not require selective lysis, and secreted proteins can be detected by immunoblotting with phospho-specific antibodies13,32,44,62,63. As expected, a non-secreted control (GSK-tagged BFP) was not phosphorylated whereas a secreted effector control (GSK-tagged RARP-2) was phosphorylated (Fig. 3a). Importantly, the lack of phosphorylation for GSK-tagged BFP demonstrates that there is negligible release of non-secreted proteins into the host cytoplasm during infection for erroneous phosphorylation. We extended this analysis to our GSK-tagged Srf strains and confirmed secretion for the majority of the effectors: SrfA, SrfC, SrfD, SrfF, and SrfG. Despite similar strain growth and expression from a common promoter (ompA), the expression of these GSK-tagged constructs varied considerably, with SrfA having the most robust expression. Additionally, expression of GSK-tagged SrfB and SrfE was not detectable and we were therefore unable to verify their secretion in this assay (Supplementary Fig. 3). The strains expressing GSK-tagged SrfB and SrfE were GFP-positive and spectinomycin-resistant, indicating that they successfully maintained the expression plasmid. Nevertheless, the results from this assay demonstrate that the BONCAT screen revealed bona fide secreted effectors.

Fig. 3. Srfs are secreted by R. parkeri into the host cell during infection.

Fig. 3

a Western blots for GSK-tagged constructs expressed by R. parkeri during infection of Vero cells. Whole-cell infected lysates were probed with antibodies against the GSK tag (bottom) or its phosphorylated form (P~GSK, top) to detect exposure to the host cytoplasm. BFP (non-secreted) and RARP-2 (secreted) were used as controls. SrfA–G are ordered by observed expression level. Asterisks indicate GSK-tagged protein bands. SrfB and SrfE (expected 37 and 50 kDa, respectively) were not detected. b Western blots for endogenous, untagged SrfC, SrfD, and SrfF during R. parkeri infection of A549 cells. Infected host cells were selectively lysed to separate supernatants containing the infected host cytoplasm from pellets containing intact bacteria. Asterisks indicate SrfC bands (apparent 55 kDa, but expected 48 kDa). SrfD and SrfF ran at the expected sizes (107 and 36 kDa, respectively). RpoA, lysis control. c Western blots for endogenous, untagged SrfD and SrfE during R. parkeri infection of A549 cells. Lysates were prepared as in b. SrfE ran at the expected size (48 kDa). RpoA, lysis control. d Images of Srfs (cyan) secreted by GFP-expressing R. parkeri (red) during infection of A549 cells (Hoechst, blue). Srfs were detected at both low and high rickettsial burdens. Scale bar, 10 μm. Uninfected host cells (uninf.) were included as controls for (ad), and the results are representative of at least two independent experiments. Source data are provided as a Source Data file.

To confirm the secretion of the endogenous, untagged effectors, we raised antibodies against SrfC, SrfD, and SrfF. We then used selective lysis to check for secretion during infection of A549 host cells by WT R. parkeri. As shown previously44, the bacterial RNA polymerase subunit RpoA was only detected in the pellet fraction, confirming that our selective lysis approach did not lead to adventitious rickettsial lysis that would confound validation (Fig. 3b). In contrast, we detected endogenous SrfC, SrfD, and SrfF in both the pellet and supernatant fractions, providing further validation that these effectors are secreted into the host cytoplasm. Given that GSK-tagged SrfE was not detectably expressed, we also raised antibodies against this putative effector. SrfE was present in both the pellet and supernatant fractions (Fig. 3c), confirming that the endogenous, untagged protein is delivered to the host cytoplasm despite the inconclusive GSK assay result. This finding underscores the importance of using multiple orthogonal approaches to validate effector secretion.

We next performed immunofluorescence microscopy to determine where endogenous, secreted SrfC, SrfD, SrfE, and SrfF localize during infection of A549 host cells (Fig. 3d). We observed rare instances (less than 3% of infected cells) of perinuclear staining for SrfC during infection, which was typically undetectable even at higher bacterial burdens. SrfE behaved similarly with rare instances (approximately 5% of infected cells) of perinuclear staining. For SrfD, we detected perinuclear speckles and faint diffuse staining that became more apparent with increased bacterial burden, possibly as a result of greater effector abundance. Finally, we noted staining for SrfF in the infected host cytoplasm, the intensity of which similarly increased at higher bacterial burdens. Our ability to detect each of these proteins in the host cell without bacterial permeabilization further demonstrates Srf secretion. Altogether, the results from multiple assays – selective lysis, reporter fusions, and microscopy-based approaches – confirm Srf secretion into the host cell.

Srfs exhibit diverse subcellular localization patterns

Motivated by the varied staining patterns for SrfC–F during infection, we expanded our localization analysis to include the remaining Srfs. Secreted effectors target various subcellular compartments, and we reasoned that exogenous expression of these effectors in uninfected cells would offer a more tractable way to study their localization by microscopy30,64. We transiently expressed 3xFLAG-tagged SrfA–G in HeLa cells and used immunofluorescence microscopy to assess their localization (Fig. 4a). We observed diffuse staining of SrfA in the cytoplasm and nucleus. SrfB was detected along narrow structures of various sizes reminiscent of mitochondria. Colocalization between SrfB and mitochondrial apoptosis-inducing factor (AIF) confirmed this hypothesis (Fig. 4b), and we noted no obvious impact on mitochondrial morphology in SrfB-positive cells. SrfC and SrfD both exhibited a reticulate perinuclear localization pattern suggestive of localization to the ER, which was not as apparent for their endogenous, secreted counterparts detected during infection. Expression of SrfC or SrfD alongside ER-targeted mNeonGreen confirmed colocalization with ER tubules (Fig. 4c), and no obvious changes in ER morphology were noted for these cells. SrfE exhibited punctate staining throughout the cytoplasm, in contrast to the perinuclear staining noted for SrfE secreted during infection. Finally, we observed diffuse staining of SrfF and SrfG in the cytoplasm; for SrfF, this localization recapitulated the pattern we saw for the endogenous protein secreted during infection. Altogether, the diversity of these localization patterns suggests that the Srfs target distinct host cell compartments during infection.

Fig. 4. Srfs exhibit diverse subcellular localization patterns.

Fig. 4

a Images of 3xFLAG-tagged SrfA–G (cyan) expressed by transiently transfected HeLa cells (Hoechst, blue). Scale bar, 10 μm. b Images of 3xFLAG-tagged SrfB (cyan) in transiently transfected HeLa cells (mitochondrial AIF, red). White indicates an overlap between FLAG and AIF signals. Scale bar, 10 μm. c Images of 3xFLAG-tagged SrfC or SrfD (cyan) and ER-targeted mNeonGreen (red) expressed by transiently co-transfected HeLa cells. White indicates an overlap between FLAG and mNeonGreen signals. Scale bar, 10 μm (inset, 1 μm). Arrowheads highlight Srf colocalization with ER tubules. Results for (ac) are representative of at least three independent experiments.

SrfD interacts with host Sec61

Upon secretion, effectors can modulate host processes by interacting with target host proteins. Due to its robust secretion during infection, localization to the ER, and interesting structural motifs, we decided to focus on SrfD for further investigation. To identify potential SrfD binding partners during infection, we immunoprecipitated endogenous SrfD from WT R. parkeri-infected host cytoplasmic lysates and performed mass spectrometry on the resulting protein complexes. As a control, we also processed lysates from uninfected host cells. In addition to SrfD itself, we found that the α and β subunits of the host Sec61 complex were highly enriched in the infected lysate pull-downs (Fig. 5a, Supplementary Data 2), suggesting that SrfD interacts with Sec61 at the ER. To verify the SrfD-Sec61 interaction, we performed the reverse pull-down and confirmed that SrfD is immunoprecipitated with Sec61β during infection (Fig. 5b). To determine if the SrfD-Sec61 interaction could be recapitulated in the absence of infection, we transiently expressed 3xFLAG-SrfD in HEK293T cells and repeated our Sec61β immunoprecipitation assays. We found that 3xFLAG-SrfD immunoprecipitated with Sec61β (Fig. 5c), demonstrating the functional relevance of our exogenous expression strategy.

Fig. 5. SrfD interacts with host Sec61 and localizes to the ER via multiple domains.

Fig. 5

a Proteins co-enriched following immunoprecipitation (IP) mass spectrometry of SrfD secreted by R. parkeri during infection of A549 cells. Protein abundance fold-changes and Benjamini–Hochberg adjusted p-values (padj) were computed for n = 3 independent infected (inf.) and uninfected (uninf.) samples (unpaired two-tailed t-test, df = 4). SrfD (blue), Sec61α/β (red), and thresholds for fold-change >4 and padj < 0.01 are indicated. b Western blots for SrfD and Sec61β following IP of Sec61β from A549 cells. Samples were prepared from R. parkeri-infected (inf.) and uninfected (uninf.) cells. c Western blots for FLAG and Sec61β following IP of Sec61β from HEK293T cells transiently transfected with 3xFLAG-tagged SrfD expression constructs. Putative domains and structural motifs are indicated. – empty vector, FL full-length SrfD. d Images of 3xFLAG-tagged SrfD constructs (cyan) from c expressed by transiently transfected HeLa cells (Sec61β, red). White indicates an overlap between FLAG and Sec61β signals. Scale bar, 10 μm. Results for (bd) are representative of at least two independent experiments. Source data are provided as a Source Data file.

The Sec61 complex forms a channel for protein translocation across the ER membrane65, and several naturally occurring small molecules have been identified that bind and inhibit Sec6166. Given that SrfD also interacts with Sec61, we tested if SrfD influences protein translocation through Sec61. We transfected 3xFLAG-SrfD into HEK293T cells stably expressing the signal peptide-containing Sec61 substrate Gaussia luciferase and then measured luciferase activity in culture supernatants (Supplementary Fig. 4)67. As a control, we treated cells with brefeldin A, which disrupts ER-Golgi trafficking and thereby blocks luciferase secretion to the cell exterior68. We found that luciferase secretion was unaffected in SrfD-expressing cells, suggesting that SrfD does not phenocopy the behavior of known Sec61 inhibitors.

Multiple domains of SrfD support its interaction with Sec61 and localization to the ER

SrfD does not resemble known components of the Sec61 translocon or associated proteins, but it does harbor several putative protein-protein interaction domains. SrfD is predicted to contain two pentapeptide repeat domains (PPR1 and PPR2) and two coiled-coil motifs (CC1 and CC2), which often serve as interfaces for binding protein partners55,56. We hypothesized that the interaction between SrfD and Sec61 is mediated by one or more of these domains. To test this hypothesis, we immunoprecipitated Sec61β from HEK293T cells exogenously expressing one of several 3xFLAG-SrfD deletion constructs and assessed the pull-down of the constructs (Fig. 5c). We found that the CC2 domain and predicted C-terminal transmembrane (TM) helices were mostly dispensable for the SrfD-Sec61 interaction. Within the SrfD N-terminus, however, PPR1, CC1, and PPR2 were each independently necessary for this interaction. These results suggest that the tested domains all contribute to the SrfD-Sec61 interaction, but ablation of any one of the SrfD N-terminal domains fully disrupts the interaction.

Given that SrfD localizes to the ER and interacts with Sec61, we considered two models for how SrfD localizes to the ER. In the first, the N-terminal domains alone drive localization to this compartment via their interaction with Sec61. Alternatively, the combination of the N-terminus and the predicted TM helices confers ER localization, especially because TM helices in other secreted effectors are known to promote insertion into target membranes69,70. To test this hypothesis, we exogenously expressed the 3xFLAG-SrfD deletion constructs in HeLa cells and used immunofluorescence microscopy to assess their localization. As expected, full-length 3xFLAG-SrfD localized with Sec61β at the ER (Fig. 5d). Interestingly, each of the domains we tested was dispensable for ER-targeting: deletion mutants that were unable to interact with Sec61β still localized to the ER, and SrfD lacking its TM domain likewise remained at the ER. These results suggest that targeting of SrfD to the ER is dependent on multiple domains and that its localization is phenotypically separable from the interaction with Sec61.

Discussion

Rickettsia spp. are exquisitely adapted to their host cell niche, but the limited genetic and bioinformatic toolkit for studying these bacteria has hindered investigation of the host-pathogen interface. Here, we use cell-selective BONCAT for the first time in an obligate intracellular bacterium and greatly expand the number of experimentally validated rickettsial effectors. The Srfs we identified include Rickettsia-specific proteins of unknown function that are structurally diverse, variably conserved, and targeted to distinct host cell compartments. Furthermore, we rigorously validated Srf secretion into the host cell milieu through multiple orthogonal assays. Altogether, our results offer new routes to explore the unique biology of these bacterial pathogens.

The identification of Srf binding partners is an important step towards understanding their functions. For example, we found that SrfD localizes to the ER where it interacts with the host Sec61 translocon. The SrfD-Sec61 interaction was identified during infection and was recapitulated by exogenous SrfD expression in uninfected cells, providing a useful platform for structure-function analysis. Pentapeptide repeats and coiled coils are known to support protein-protein interactions, and our finding that the SrfD PPRs and CC1 are necessary for its interaction with Sec61 agrees with this point. PPRs from diverse proteins make direct contact with binding partners or otherwise serve as rigid scaffolds for other interaction domains55. Whether the SrfD PPRs directly interact with Sec61 or serve as spacers to position CC1 for such interaction remains to be determined. Nevertheless, we cannot exclude the possibility that SrfD interacts indirectly with Sec61 through these domains. We did not identify a candidate protein that could bridge SrfD and Sec61 from our mass spectrometry results, but future studies may reveal if the SrfD-Sec61 interaction can be reconstituted in vitro. The functional consequence of the SrfD-Sec61 interaction likewise requires continued investigation. Although SrfD did not impact the secretion of a known Sec61 substrate, it is possible that SrfD affects the translocation of other proteins in a client-selective manner. Alternatively, SrfD may influence the role played by the Sec61 translocon in other cellular processes, such as ER stress and calcium homeostasis71,72. SrfD may also interact with Sec61 to exert its activity on other host targets at the ER, although we note that SrfD was specifically enriched only with the Sec61 complex.

Of the Srfs we identified, only SrfA has a predicted function. SrfA is likely a functional peptidoglycan amidase in vivo, and the high abundance of the R. conorii SrfA homolog RC0497 during infection makes it a promising biomarker for spotted fever rickettsioses73. RC0497 has been observed in the periplasm of purified rickettsiae by immunogold labeling49, despite the absence of a Sec or Tat signal peptide74. Our detection of SrfA in the infected host cytoplasm and phosphorylation of GSK-tagged SrfA suggest that this protein reaches its final destination outside the bacteria during infection.

For the remaining Srfs, we combined in silico predictions and localization analyses to begin characterizing these effectors. Curiously, SrfB localized to mitochondria when exogenously expressed, even though it lacks a predicted mitochondrial targeting sequence75,76. Once this behavior is validated for the secreted protein, mutational and biochemical studies may identify a cryptic targeting sequence within SrfB or a mitochondrial binding partner of SrfB that mediates its localization. We also showed that the localization pattern for an effector can vary depending on the source of its expression. For example, exogenous SrfC readily colocalized with the ER whereas endogenous, secreted SrfC exhibited perinuclear staining in a minority of infected cells. The localization patterns of endogenous and exogenous SrfE likewise differed. These results suggest that infection-specific cues dictate effector localization or, more simply, that exogenous expression disassociates secretion of a Srf from its delivery to a particular subcellular compartment. In contrast to SrfC and SrfE, both endogenous and exogenous SrfF exhibited similar localization to the host cytoplasm. This congruence suggests that the exogenous expression of SrfF serves as a convenient proxy for studying its secreted counterpart. As for SrfD, such localization studies could inform future efforts to identify Srf binding partners. Ultimately, biochemical characterization of Srf interactions with their targets may uncover novel mechanisms by which bacterial pathogens subvert host processes and yield new tools to probe eukaryotic cell biology.

Studying Srf evolution, expression, and impact on the rickettsial life cycle could also prove informative. Although the Srfs are unevenly distributed across the genus, the genomic regions surrounding the srf loci are well-conserved; this suggests that the srf genes and their flanking genes may face different selective pressures. The presence and diversification of these unique effectors in bacteria with notoriously streamlined genomes raise exciting questions about rickettsial evolution within the host cell niche77. Bioinformatic studies have traced the emergence, maintenance, and decay of genes across Rickettsia spp.37,7880, and the Srfs could serve as useful focal points for such analyses in future work. Additionally, a thorough characterization of Srf expression could clarify their roles across the genus and across host cell niches. For example, R. conorii srfB is highly transcribed during infection of human and tick cells81, and the expression of R. rickettsii srfE and R. typhi srfG appears to respond to temperature shifts82,83. We eagerly await the generation of srf mutants, the study of which will provide insight into how these effectors contribute to the rickettsial lifestyle and pathogenesis. Transposon mutants for srfB from R. parkeri and srfF from R. prowazekii and R. felis have been isolated but remain uncharacterized8486. Altogether, the results from these future studies will offer a more comprehensive view of Srf biology.

Rickettsia spp. harbor T4SS and T1SS machinery that may drive Srf translocation to the host cell milieu58,87. Our approach to identifying effectors is secretion system-agnostic, and future studies should elucidate the mechanisms by which SrfA–G are secreted during infection. Even for well-studied pathogens, however, the signal sequences for substrates of these secretion systems are not universal, and often they are genus- or species-specific36,8890; thus, robust computational prediction of effectors secreted by Rickettsia spp. is challenging. The fact that the Srfs were not predicted by in silico tools underscores this limitation. As rickettsial secretion mutants have yet to be reported, heterologous expression or co-immunoprecipitation with components of the secretion apparatus may implicate a cognate secretion system for each Srf13,17,18,30. Indeed, srfG lies immediately upstream of a gene encoding another DUF5410-containing protein (cREM-2a), which was identified as an interaction partner of the R. typhi T4SS component RvhD417. The gene pair is predicted to have arisen via an ancient duplication event37, and future studies may reveal if they encode bona fide T4SS effectors. Such information will ultimately help define the sequence determinants for rickettsial secretion and improve our ability to predict new effectors.

In this work, we used BONCAT to discover new R. parkeri effectors, but our study is by no means exhaustive. First, BONCAT does not provide truly unbiased coverage of the proteome. It has been observed that longer, Met-rich proteins are slightly overrepresented in such pull-downs43, likely due to greater probabilities for Anl incorporation and peptide detection. Moreover, extensive replacement of amino acids with non-canonical analogs could impact protein folding, stability, secretion, and, ultimately, bacterial physiology. Second, our selective lysis strategy precludes extraction of putative effectors that localize to insoluble subcellular compartments, whose transient presence in the host cytoplasm may be insufficient for detection. Third, we labeled infected cells that had already accumulated considerable rickettsial burdens over the course of two days, a timepoint that could theoretically exclude effectors that are only secreted early during infection. Low spectral counts for the effectors we detected suggest that there is room for further optimization.

Nevertheless, we envision cell-selective BONCAT as a valuable tool for investigating rickettsial biology. For example, pulse labeling with Anl could reveal the kinetics of effector secretion across the rickettsial life cycle, as was demonstrated for Yop effector secretion during Yersinia infection41. Given that the Srfs we identified are variably conserved across the genus, effector repertoires could be compared between different Rickettsia species. BONCAT may also reveal that different suites of effectors are secreted during rickettsial infection of vertebrate host and arthropod vector cell niches. Additionally, arthropods harbor a multitude of microbes that can influence rickettsial biology9193, and in situ, strain-specific labeling could facilitate studies of Rickettsia spp. within the broader context of the vector microbiome.

In sum, our work demonstrates that cell-selective BONCAT can uncover novel effectors secreted by an obligate intracellular bacterial pathogen. Proteomics provide a powerful lens through which to interrogate the biology of Rickettsia spp. and will complement advances in genetic tool development. The identification of SrfA–G opens new avenues for exploring effector structures, diversification, and secretion by this enigmatic genus. In parallel, mapping the host cell targets of these effectors will help illuminate the host-pathogen interface and offer a handle for studying fundamental cell biological processes. Altogether, a thorough investigation of secreted effectors will enhance our understanding of rickettsial biology and pathogenesis.

Methods

Cell culture

A549 human lung epithelial, HeLa human cervical epithelial, HEK293T human embryonic kidney epithelial, and Vero monkey kidney epithelial cell lines were obtained from the University of California, Berkeley Cell Culture Facility (Berkeley, CA). A549, HeLa, and HEK293T cells were maintained in Dulbecco’s modified Eagle’s medium (DMEM; Gibco catalog number 11965118) supplemented with 10% fetal bovine serum (FBS). Vero cells were maintained in DMEM supplemented with 5% FBS. Cell lines were confirmed to be mycoplasma-negative in a MycoAlert PLUS assay (Lonza catalog number LT07-710) performed by the Koch Institute High-Throughput Sciences Facility (Cambridge, MA).

Plasmid construction

Strains and plasmids used in this study are listed in Supplementary Table 1. pRL0128 was made by cloning E. coli metG(M1–K548) with mutations L13N, Y260L, and H301L and codon-optimized for R. parkeri into pRAM18dSGA[MCS] (kindly provided by Ulrike Munderloh). To enable expression of this gene in R. parkeri, a 368 bp fragment upstream of the R. parkeri metG (MC1_RS05365) start codon and a 99 bp fragment downstream of the R. parkeri metG stop codon were also added. pRL0368–374 were made by cloning the R. parkeri ompA promoter, an N-terminal MSGRPRTTSFAESGS sequence (GSK epitope tag underlined), srfA–G, and the ompA terminator into pRAM18dSGA[MCS]. pRL0375–377 were made by cloning E. coli codon-optimized srfC, srfD(ΔF766–N957), and srfF, respectively, into pGEX6P3 (kindly provided by Matthew Welch) to add an N-terminal GST tag. pRL0378 and pRL0379 were made by cloning E. coli codon-optimized srfD(ΔF766–N957) and srfF, respectively, into His-SUMO-dual strep-TEV-PGT (kindly provided by Barbara Imperiali)94 to add an N-terminal 6xHis-SUMO-TwinStrep tag. pRL0430 was kindly provided by Supratim Dey and Karla Satchell. pRL0381 was made by replacing the Cas9 insert in HP138-puro (kindly provided by Iain Cheeseman)95 with an MCS downstream of the anhydrotetracycline (aTc)-inducible TRE3G promoter. pRL0382, pRL0385, pRL0387, and pRL0388 were made by cloning an N-terminal MDYKDHDGDYKDHDIDYKDDDDKLIN sequence (3xFLAG epitope tag underlined) and human codon-optimized srfA, srfD, srfF, and srfG, respectively, into pRL0381. N-terminally tagged SrfB, SrfC, and SrfE expressed poorly, so pRL0383, pRL0384, and pRL0386 respectively contain a C-terminal GGSGSDYKDHDGDYKDHDIDYKDDDDK sequence instead. FCW2IB-BiP-mNeonGreen-KDEL was generated as previously described96. pRL0389 was made by replacing the Lifeact-3xTagBFP insert in FCW2IB-Lifeact-3xTagBFP12 with Gaussia-Dura luciferase from pCMV-Gaussia-Dura Luc (Thermo Fisher Scientific catalog number 16191). pRL0390–394 are identical to pRL0385 but srfD was replaced with srfD(ΔA57–Y116), srfD(ΔN126–F257), srfD(ΔF305–D686), srfD(ΔF766–T821), and srfD(ΔK848–D890), respectively.

Generation of R. parkeri strains

Parental R. parkeri strain Portsmouth (kindly provided by Chris Paddock) and all derived strains were propagated by infection and mechanical disruption of Vero cells grown in DMEM supplemented with 2% FBS at 33 °C as previously described12. Bacteria were clonally isolated and expanded from plaques formed after overlaying infected Vero cell monolayers with agarose as previously described97. When appropriate, bacteria were further purified by passage through a sterile 2 μm filter (Cytiva catalog number 6783-2520). Bacterial stocks were stored as aliquots at –80 °C to minimize variability due to freeze-thaws, and titers were determined by plaque assay12. Parental R. parkeri was transformed with plasmids by small-scale electroporation as previously described44. WT and MetRS* R. parkeri were generated by transformation with pRAM18dSGA[MCS] and pRL0128, respectively. R. parkeri expressing GSK-tagged BFP and RARP-2 were generated as previously described44. R. parkeri expressing GSK-tagged SrfA–G were generated by transformation with pRL0368–374. Spectinomycin (50 μg/mL) was included to select for transformants and to ensure plasmid maintenance during experiments.

Infectious focus assays

Infectious focus assays were performed as previously described44. For each strain, 15 foci were imaged, and the number of infected cells and bacteria per focus was calculated.

BONCAT microscopy validation

Confluent A549 cells (approximately 3.5 × 105 cells/cm2) were grown on 12-mm coverslips in 24-well plates and were infected with WT or MetRS* R. parkeri at a multiplicity of infection (MOI) of 0.001–0.004, centrifuged at 200 × g for 5 min at room temperature (RT) and incubated at 33 °C. After 45 h, infected cells were treated with or without 1 mM azidonorleucine (Anl, Iris Biotech catalog number HAA1625) for 3 h, washed three times with phosphate-buffered saline (PBS), and fixed with 4% paraformaldehyde (PFA) in PBS for 10 min at RT. Fixed samples were incubated with 100 mM glycine in PBS for 10 min at RT to quench residual PFA. Samples were then washed three times with PBS, permeabilized with 0.5% Triton X-100 in PBS for 5 min at RT, and washed again with PBS. Samples were incubated with blocking buffer (2% bovine serum albumin [BSA] and 10% normal goat serum in PBS) for 30 min at RT. Primary and secondary antibodies were diluted in blocking buffer and incubated for 1 h each at RT with three 5-min PBS washes after each incubation step. The following antibodies and stains were used: mouse anti-Rickettsia 14-13 (kindly provided by Ted Hackstadt), goat anti-mouse conjugated to Alexa Fluor 488 (Invitrogen catalog number A-11001), and Hoechst stain (Invitrogen catalog number H3570) to detect host nuclei. To perform the click reaction, coverslips were subsequently fixed with 4% PFA in PBS for 5 min at RT, quenched with 0.1 M glycine in PBS for 10 min at RT, washed three times with PBS, incubated with lysozyme reaction buffer (0.8× PBS, 50 mM glucose, 5 mM EDTA, 0.1% Triton X-100, 5 mg/mL lysozyme [Sigma-Aldrich catalog number L6876]) for 20 min at 37 °C to permeabilize bacteria, and then washed five times with PBS. Samples were incubated with click reaction staining cocktail (50 mM sodium phosphate buffer [pH 7.4], 4 mM copper (II) sulfate [Sigma-Aldrich catalog number 209198], 20 mM tris-(3-hydroxypropyltriazolylmethyl)amine [THPTA, Sigma-Aldrich catalog number 762342], 5 μM AZDye 647 alkyne [Click Chemistry Tools catalog number 1301], 10 mM sodium ascorbate [Sigma-Aldrich catalog number A4034]) for 30 min at RT and washed five times with PBS. Coverslips were mounted using ProLong Gold Antifade mountant (Invitrogen catalog number P36934) and images were acquired using a 100× UPlanSApo (1.35 NA) objective on an Olympus IXplore Spin microscope system. Image analysis was performed with ImageJ.

BONCAT western blot validation

Confluent A549 cells (approximately 3.5 × 105 cells/cm2) were grown in 6-well plates and were infected with WT or MetRS* R. parkeri at an MOI of 0.006–0.02, centrifuged at 200 × g for 5 min at RT, and incubated at 33 °C. After 45 h, infected cells were treated with or without 1 mM Anl for 3 h, washed with PBS, lifted with trypsin-EDTA, and centrifuged at 2400 × g for 5 min at RT. Infected cell pellets were washed three times with PBS, resuspended in selective lysis buffer (50 mM HEPES [pH 7.9], 150 mM NaCl, 10% glycerol, 1% IGEPAL) supplemented with protease inhibitors (Sigma-Aldrich catalog number P1860), incubated on ice for 20 min, and centrifuged at 11,300 × g for 10 min at 4 °C. The resulting supernatants were passed through a 0.22-μm cellulose acetate filter (Thermo Fisher Scientific catalog number F2517-1) by centrifugation at 6700 × g for 10 min at 4 °C. The resulting pellets were resuspended in total lysis buffer (50 mM HEPES [pH 7.9], 150 mM NaCl, 10% glycerol, 2% sodium dodecyl sulfate [SDS]) supplemented with 2 mM MgCl2 and 0.1 units/μL Benzonase (Sigma catalog number E1014), incubated for 5 min at 37 °C, and clarified by centrifugation at 21,100 x g for 1 min at RT. Lysate protein content was determined by bicinchoninic acid assay (Thermo Fisher Scientific catalog number 23227) and 45 μg cytoplasmic lysate was used as input for a click reaction at 1 mg/mL protein. An equivalent volume of pellet lysate was used as input. Lysates were incubated with click reaction biotin-alkyne cocktail (50 mM sodium phosphate buffer [pH 7.4], 2 mM copper (II) sulfate, 10 mM THPTA, 40 μM biotin-alkyne [Click Chemistry Tools catalog number 1266], 5 mM aminoguanidine [Sigma-Aldrich catalog number 396494], 20 mM sodium ascorbate) for 90 min at RT and proteins were precipitated with chloroform/methanol. Clicked protein precipitates were boiled in loading buffer (50 mM Tris-HCl [pH 6.8], 2% SDS, 10% glycerol, 0.1% bromophenol blue, 5% β-mercaptoethanol) and detected by Western blotting using StrepTactin-HRP (Bio-Rad catalog number 1610381). To prevent signal saturation, only 10% of the pellet precipitate was loaded.

BONCAT pull-downs

Confluent A549 cells (approximately 3.5 × 105 cells/cm2) were grown in 10 cm2 dishes and were infected with MetRS* R. parkeri at a MOI of 0.3, gently rocked at 37 °C for 50 min, and incubated at 33 °C. After 48 h, infected cells were treated with or without 1 mM Anl (n = 2 dishes per condition) for 5 h, washed with PBS, lifted with trypsin-EDTA, and centrifuged at 2400 × g for 5 min at RT. Cytoplasmic lysates were harvested as described in the “BONCAT western blot validation” section, SDS was added to 4.2 mg lysate input to a final concentration of 1.7%, and the mixture was heated at 70 °C for 10 min. Denatured lysates were diluted to 1 mg/mL protein and 0.4% SDS with click reaction biotin-alkyne cocktail, incubated for 90 min at RT, and precipitated with 20% trichloroacetic acid. Clicked protein precipitates were washed with acetone, resuspended to 1.4 mg/mL protein in 1% SDS in PBS, and carryover acid was neutralized with 118 mM Tris-HCl (pH 8). To stabilize streptavidin tetramers during pull-down and washes, cross-linked streptavidin resin was prepared following a previously described resin cross-linking strategy98. Briefly, streptavidin resin (Cytiva catalog number 17511301) was incubated with cross-linking buffer (20 mM sodium phosphate [pH 8], 150 mM NaCl) supplemented with 1.2 mM bis(sulfosuccinimidyl)suberate (BS3, Thermo Fisher Scientific catalog number A39266) for 30 min at RT. Unreacted BS3 was quenched with 40 mM Tris-HCl (pH 8) for 15 min at RT and the cross-linked streptavidin resin was washed twice with resin wash buffer (25 mM Tris-HCl [pH 7.4], 137 mM NaCl, 0.1% Tween 20) and once with PBS. Clicked protein suspensions were incubated with 200 μL cross-linked streptavidin resin for 2 h at RT, washed four times with 1% SDS in PBS, once with 6 M urea in 250 mM ammonium bicarbonate, once with 1 M NaCl, twice with 0.1% SDS in PBS, and five times with PBS. Resin-bound proteins were submitted to the Whitehead Institute Proteomics Core Facility (Cambridge, MA) for sample workup and mass spectrometry analysis.

GSK secretion assays

GSK secretion assays were performed as previously described44. Briefly, confluent Vero cells (approximately 4 × 105 cells/cm2) were grown in 24-well plates, infected with the indicated strains at a MOI of 0.02–0.08, centrifuged at 200 × g for 5 min at RT, and incubated at 33 °C. Vero cells were chosen for their routine use in propagating rickettsiae and performing rickettsial GSK secretion assays. After 72 h, infected cells were washed with ice-cold serum-free DMEM, directly lysed in loading buffer, and boiled. Lysates were analyzed by Western blotting using rabbit anti-GSK-3β-Tag (Cell Signaling Technology catalog number 9325S) and rabbit anti-phospho-GSK-3β (Cell Signaling Technology catalog number 9336S).

Srf protein purification

GST-tagged constructs were expressed in E. coli BL21 by overnight induction with 0.3 mM IPTG at 18 °C. Pelleted cells were resuspended in protein lysis buffer (50 mM HEPES [pH 8.0], 150 mM NaCl, 0.1% Triton X-100, 1 mM PMSF, 6 units/mL Benzonase, 6 mM MgCl2) supplemented with protease inhibitor tablets (Sigma-Aldrich catalog number 11836153001), lysed using a LM20 Microfluidizer (Microfluidizer) at 18,000 PSI for three passes, and clarified by centrifugation at 40,000 × g for 1 h at 4 °C. Proteins were purified using glutathione sepharose resin (Cytiva catalog number 17075601), eluted by step gradient (50 mM HEPES [pH 8], 200 mM NaCl, 1–10 mM reduced glutathione), and concentrated using Amicon Ultra concentrators (Sigma-Aldrich). 6xHis-SUMO-TwinStrep-tagged constructs were expressed in E. coli BL21(DE3) and harvested as described for the GST-tagged proteins, purified using nickel sepharose resin (Cytiva catalog number 17531802), eluted by step gradient (50 mM HEPES [pH 8], 200 mM NaCl, 100–500 mM imidazole), and cleaved with ULP1 protease (kindly provided by Barbara Imperiali) while dialyzing overnight at 4 °C (into 50 mM HEPES [pH 8], 200 mM NaCl). TwinStrep-tagged proteins were further purified using nickel sepharose resin followed by size-exclusion chromatography using a HiLoad 16/600 Superdex 200 pg column (Cytiva catalog number 28989335) and then concentrated.

A 6xHis-MBP-TEV-tagged SrfE(277–403) construct was expressed in E. coli BL21(DE3) by overnight induction with 0.2 mM IPTG at RT. Pelleted cells were resuspended in SrfE lysis buffer (25 mM Tris [pH 8.3], 500 mM NaCl, 0.1% IGEPAL, 1 mM TCEP, 10% glycerol, 6 units/mL Benzonase, 6 mM MgCl2) supplemented with protease inhibitor tablets and then lysed and clarified as described above. Proteins were purified using a prepacked nickel sepharose resin column (Cytiva catalog number 17525501) and eluted by linear gradient (25 mM Tris [pH 8.3], 500 mM NaCl, 0.5 mM TCEP, 10% glycerol, 500 mM imidazole) onto amylose resin (New England Biolabs catalog number E8022S). Proteins were then eluted (25 mM Tris [pH 8.3], 500 mM NaCl, 0.5 mM TCEP, 10% glycerol, 20 mM imidazole, 116 mM maltose) and cleaved with TEV protease (kindly provided by Seychelle Vos) while dialyzing overnight at 4 °C (into 25 mM Tris [pH 8.3], 250 mM NaCl, 0.5 mM TCEP, 10% glycerol). Cleaved proteins were further purified using a prepacked nickel sepharose resin column followed by size-exclusion chromatography and then concentrated and dialyzed overnight at 4 °C (into 50 mM HEPES [pH 8], 200 mM NaCl). Purified untagged SrfE(277–403) was also kindly provided by Supratim Dey and Karla Satchell.

Srf antibody purification

GST-tagged SrfC, SrfD, and SrfF and untagged SrfE were used for immunization by Labcorp (Denver, PA) according to their standard 77-day rabbit polyclonal antibody protocol. To affinity purify anti-Srf antibodies, NHS-activated sepharose resin (1 mL, Cytiva catalog number 17090601) was activated with 1 mM HCl, drained, and incubated with TwinStrep-tagged proteins or untagged SrfE (1.4 mg) for 1 h at RT. The resin was washed twice with alternating ethanolamine (500 mM ethanolamine [pH 8.3], 500 mM NaCl) and acetate (100 mM sodium acetate [pH 4.5], 500 mM NaCl) buffers and then equilibrated (with 20 mM Tris [pH 7.5] first with and then without 500 mM NaCl) before incubating with 2 mL filtered (0.22 μm) SrfD, SrfE, or SrfF antisera for 1 h at RT. The resin was washed (20 mM Tris [pH 7.5] first without and then with 500 mM NaCl), and antibodies were eluted with 100 mM glycine (pH 2.8), neutralized with 65 mM Tris-HCl (pH 8.8), dialyzed overnight at 4 °C (into 50 mM HEPES [pH 8], 150 mM NaCl, 10% glycerol), and concentrated. For retrieval of anti-SrfC antibodies, filtered SrfC antisera were purified by sequential incubation with GST tag and GST-tagged SrfC conjugated separately to NHS-activated sepharose resin. Antibodies were validated by Western blotting using purified R. parkeri, uninfected A549 cell lysates, and purified recombinant Srfs.

Secreted Srf immunoblotting

Confluent A549 cells (approximately 3.5 × 105 cells/cm2) were grown in 10 cm2 dishes and were infected with parental R. parkeri at a MOI of 0.2–0.5, gently rocked at 37 °C for 50 min, and incubated at 33 °C. After 48 h, infected cells were washed with PBS, lifted with trypsin-EDTA, and centrifuged at 2400 × g for 5 min at RT. Cytoplasmic and pellet lysates were harvested as described in the “BONCAT western blot validation” section, boiled in loading buffer, and analyzed by Western blotting using Srf antisera and mouse anti-RpoA (BioLegend catalog number 663104).

Secreted Srf immunofluorescence assays

Confluent A549 cells (approximately 3.5 × 105 cells/cm2) were grown on 12-mm coverslips in 24-well plates and were infected with WT R. parkeri at a MOI of 0.08 or 0.15, centrifuged at 200 × g for 5 min at RT, and incubated at 33 °C for 47 h until fixation with 4% PFA in PBS for 1 h at RT. Fixed samples were processed as described in the “BONCAT microscopy validation” section, except primary antibodies were incubated for 3 h at 37 °C. The following antibodies and stains were used: purified rabbit anti-Srf antibodies, goat anti-rabbit conjugated to Alexa Fluor 647 (Invitrogen catalog number A-21245), and Hoechst stain to detect host nuclei.

Exogenous Srf immunofluorescence assays

HeLa cells (4 × 104 cells/cm2) were plated on 12-mm coverslips in 24-well plates and were transfected the next day with 500 ng DNA using Lipofectamine 3000 (Thermo Fisher Scientific catalog number L3000001) following the manufacturer’s instructions. HeLa cells were chosen to study exogenous Srf localization patterns over A549s due to their superior transfection efficiency. The following day, the media was replaced and supplemented with 1 μg/mL aTc (Clontech catalog number 631310). After 24 h induction, cells were fixed with 4% PFA in PBS for 10 min at RT. Fixed samples were quenched, washed, and permeabilized and then incubated with blocking buffer (2% BSA in PBS) for 30 min at RT. Primary and secondary antibodies were diluted in blocking buffer and incubated for 1 h each at RT with three 5-min PBS washes after each incubation step. The following antibodies and stains were used: mouse anti-FLAG (Sigma-Aldrich catalog number F1804), goat anti-mouse conjugated to Alexa Fluor 488 or to Alexa Fluor 647 (Invitrogen catalog number A-21235), rabbit anti-AIF (Cell Signaling Technology catalog number 5318S), goat anti-rabbit conjugated to Alexa Fluor 488 (Invitrogen catalog number A-11008), and Hoechst stain to detect nuclei. To assess colocalization of 3xFLAG-SrfC or 3xFLAG-SrfD with ER-targeted mNeonGreen, the same procedure was followed except 250 ng each of pRL0384 or pRL0385 and FCW2IB-BiP-mNeonGreen-KDEL were co-transfected and the cells were fixed for 1 h.

Secreted SrfD immunoprecipitation assays

Confluent A549 cells (approximately 3.5 × 105 cells/cm2) were grown in triplicate in 10 cm2 dishes and were infected with WT R. parkeri at a MOI of 0.3, gently rocked at 37 °C for 50 min, and incubated at 33 °C. Triplicate dishes were infected with bacteria in brain heart infusion media (BHI) or mock-infected with BHI as uninfected controls. After 45 h, cells were washed with ice-cold PBS, scraped into selective lysis buffer supplemented with protease inhibitors and 1 mM EDTA, incubated on ice for 20 min, and centrifuged at 11,300 × g for 10 min at 4 °C. The resulting supernatants were filtered as described in the “BONCAT western blot validation” section, pre-cleared with Protein A magnetic resin (Thermo Fisher Scientific catalog number 88846) for 30 min at 4 °C, and incubated with 15 μg/mL purified rabbit anti-SrfD overnight at 4 °C. Immune complexes were precipitated with Protein A magnetic resin for 1 h at 4 °C, washed four times with supplemented selective lysis buffer, eluted by incubation with 100 mM glycine (pH 2.8) for 20 min at RT, and neutralized with 115 mM Tris-HCl (pH 8.5). The neutralized eluates were submitted to the Koch Institute Biopolymers & Proteomics Core Facility for sample workup and mass spectrometry analysis.

Mass spectrometry

For identification of secreted effectors from BONCAT, resin-bound proteins were denatured, reduced, alkylated, and digested with trypsin/Lys-C overnight at 37 °C. The resulting peptides were purified using styrene-divinylbenzene reverse-phase sulfonate StageTips as previously described99. LC-MS/MS data were acquired using a Vanquish Neo nanoLC system coupled with an Orbitrap Exploris mass spectrometer, a FAIMS Pro interface, and an EASY-Spray ESI source (Thermo Fisher Scientific). Peptide separation was carried out using an Acclaim PepMap trap column (75 μm × 2 cm; Thermo Fisher Scientific) and an EASY-Spray ES902 column (75 μm × 250 mm, 100 Å; Thermo Fisher Scientific) using standard reverse-phase gradients. Data analysis was performed using PEAKS Studio 10.6 software (Bioinformatics Solutions) and analyzed as previously described100. RefSeq entries for R. parkeri strain Portsmouth (taxonomy ID 1105108) were downloaded from NCBI. Variable modifications for Anl and biotin-Anl were included. Peptide identifications were accepted with a false discovery rate of ≤1% and a significance threshold of 20 (−10log10P). Protein identifications were accepted with two unique peptides. Proteins that were present in both replicates of the Anl-treated infection lysate pull-down were called hits.

For identification of proteins in the secreted SrfD immunoprecipitation eluates, peptides were prepared using S-Trap micro spin columns (ProtiFi) following the manufacturer’s instructions, except 10 mM DTT was used instead of TCEP, samples were reduced for 10 min at 95 °C, 20 mM iodoacetamide was used instead of MMTS, and samples were alkylated for 30 min at RT. LC-MS/MS data were acquired using an UltiMate 3000 HPLC system coupled with an Orbitrap Exploris mass spectrometer (Thermo Fisher Scientific). Peptide separation was carried out using an Acclaim PepMap RSLC C18 column (75 μm × 50 cm; Thermo Fisher Scientific) using standard reverse-phase gradients. Data analysis was performed using Sequest HT in Proteome Discoverer (Thermo Fisher Scientific) against human (UniProt) and R. parkeri (RefSeq) databases with common contaminants removed. Protein identifications were accepted with two unique peptides, and normalized intensities from the top three precursors were computed with Scaffold (Proteome Software). These results were filtered to require a non-zero value for at least two of the three replicates in at least one condition. Zero values were then imputed to the minimum intensity within each sample. Mean fold-changes and Benjamini–Hochberg adjusted p-values were computed for log-transformed intensities between infected and uninfected conditions.

Sec61 immunoprecipitation assays

For immunoprecipitation of Sec61 during infection, confluent A549 cells (approximately 3.5 × 105 cells/cm2) were grown in 10 cm2 dishes and were infected with WT R. parkeri at a MOI of 0.25, gently rocked at 37 °C for 50 min, and incubated at 33 °C. After 53 h, lysates were harvested, filtered, and pre-cleared as described in the “Secreted SrfD immunoprecipitation assays” section, and incubated with 0.18 μg/mL rabbit anti-Sec61β (Cell Signaling Technology catalog number 14648S) overnight at 4 °C. Immune complexes were precipitated and washed, eluted by boiling in loading buffer and detected by Western blotting using purified rabbit anti-SrfD and rabbit anti-Sec61β. For immunoprecipitation of Sec61 following SrfD transfection, HEK293T cells (5 × 104 cells/cm2) were grown in 6-well plates and transfected the next day with 2.5 μg DNA with TransIT-LT1 (Mirus Bio catalog number MIR-2304) following the manufacturer’s instructions. HEK293T cells were chosen to study exogenous SrfD over A549s due to their superior transfection efficiency and routine use in co-immunoprecipitation experiments. To ensure comparable expression levels of the SrfD constructs, 2 μg pRL0385, 2 μg pRL0390, 2 μg pRL0391, 2 μg pRL0392, 2.5 μg pRL0393, and 1.5 μg pRL0394 were brought up to 2.5 μg total DNA with pRL0381. The following day, the media was replaced and supplemented with 200 ng/mL aTc. After 24 h induction, lysates were harvested (without filtering), pre-cleared, and incubated with rabbit anti-Sec61β. Immune complexes were precipitated, washed, eluted, and detected by Western blotting using mouse anti-FLAG and rabbit anti-Sec61β.

Luciferase secretion assays

HEK293T cells stably expressing Gaussia luciferase were generated with pRL0389 by lentiviral transduction as previously described12, except 300 μL filtered viral supernatant was used and selection was performed with 5 μg/mL blasticidin. Cells (5 × 104 cells/cm2) were grown in triplicate in 24-well plates pre-coated with 6 μg fibronectin (Sigma-Aldrich catalog number FC010) and transfected the next day with 500 ng pRL0381 or pRL0385 with TransIT-LT1. The following day, the media was first replaced and supplemented with 200 ng/mL aTc to prime the expression of SrfD. After 8 h, the media was replaced and supplemented with 200 ng/mL aTc and either DMSO or 6 μg/mL brefeldin A (Sigma-Aldrich catalog number B6542). After an additional 16 h, culture supernatants were assayed for luciferase activity on a Varioskan plate reader (Thermo Fisher Scientific) using the Pierce Gaussia Luciferase Glow Assay Kit (Thermo Fisher Scientific catalog number 16161) following the manufacturer’s instructions.

Bioinformatic analyses

Protein-protein BLAST101 was used to detect putative homologs of R. parkeri str. Portsmouth SrfA–G across the Rickettsia genus (taxonomy ID 780). E-values were computed for the following species selected for display using the default BLOSUM62 scoring matrix, and hits were curated by reciprocal BLAST against R. parkeri Srfs: R. conorii str. Malish 7 (taxonomy ID 272944), R. rickettsii str. Sheila Smith (taxonomy ID 392021), R. peacockii str. Rustic (taxonomy ID 562019), R. montanensis str. OSU 85-930 (taxonomy ID 1105114), Rickettsia endosymbiont of Ixodes pacificus (taxonomy ID 1133329), R. monacensis str. IrR/Munich (taxonomy ID 1269334), R. buchneri str. ISO7 (taxonomy ID 1462938), R. felis str. URRWXCal2 (taxonomy ID 315456), R. akari str. Hartford (taxonomy ID 293614), R. prowazekii str. Breinl (taxonomy ID 1290428), R. typhi str. Wilmington (taxonomy ID 257363), R. helvetica str. C9P9 (taxonomy ID 1144888), R. canadensis str. McKiel (taxonomy ID 293613), R. bellii str. RML369-C (taxonomy ID 336407), Rickettsia endosymbiont of Bemisia tabaci MEAM1 (taxonomy ID 1182263), and Rickettsia endosymbiont of Pyrocoelia pectoralis (taxonomy ID 2866165). Protein-protein BLAST was also used to detect putative Srf homologs in organisms excluding those of the Rickettsia genus. R. parkeri Srf structures were predicted with ColabFold50 and searched against the AlphaFold, PDB, and GMGCL databases using FoldSeek51 in 3Di/AA mode with an E-value cutoff of 0.001. HHpred52 with an E-value cutoff of 0.001 was used to search Srf sequences against the PDB and Pfam databases. Phyre253 with a 95% confidence cutoff was also used for Srf homolog prediction. Putative secondary structure features were identified using the MPI Bioinformatics Toolkit52. The R. parkeri proteome was searched for type IV effectors using OPT4e36 and S4TE59. Conservation of synteny for the srf gene neighborhoods was evaluated using the Compare Region Viewer tool from the Bacterial and Viral Bioinformatics Resource Center102. Searches were anchored by flanking genes to maximize alignment between genomes that are not predicted to encode a given Srf homolog. Gene neighborhoods from the following species were selected for display: R. parkeri str. Portsmouth, R. rickettsii str. Sheila Smith, Rickettsia endosymbiont of Ixodes pacificus, R. felis str. URRWXCal2, R. typhi str. Wilmington, R. canadensis str. McKiel, and R. bellii str. RML369-C. Gene annotations were provided by the Bacterial and Viral Bioinformatics Resource Center or manual curation. SrfA was searched for Sec and Tat signal peptides using SignalP74. SrfB was searched for a mitochondrial targeting sequence using TargetP75 and MitoFates76.

Statistical analyses

Statistical analysis was performed using Prism 9 (GraphPad Software). Graphical representations, statistical parameters, and significance are reported in the figure legends.

Reporting summary

Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.

Supplementary information

Supplementary Information (857.7KB, pdf)
Peer Review File (669.1KB, pdf)
41467_2024_50493_MOESM3_ESM.pdf (89.7KB, pdf)

Description of Additional Supplementary Files

Supplementary Data 1 (14.1KB, xlsx)
Supplementary Data 2 (111.7KB, xlsx)
Reporting Summary (97.9KB, pdf)

Source data

Source Data (3.9MB, xlsx)

Acknowledgements

We are grateful to Michael Laub and Brandon Sit for their critical review of the manuscript. We thank Ulrike Munderloh, Matthew Welch, Barbara Imperiali, Iain Cheeseman, Chris Paddock, and Ted Hackstadt for reagents and Roberto Vazquez Nunez and Seychelle Vos for assistance with protein purification. Additionally, we thank Supratim Dey and Karla Satchell at the Northwestern University Feinberg School of Medicine and the Center for Structural Biology of Infectious Diseases for providing purified recombinant SrfE ahead of publication. We also thank Fabian Schulte at the Whitehead Institute Proteomics Core Facility and Richard Schiavoni at the Koch Institute Biopolymers & Proteomics Core Facility for experimental support. Work in the Lamason laboratory is supported in part by the National Institutes of Health (R01 AI155489) and by the Office of the Assistant Secretary of Defense for Health Affairs through the Tick-Borne Disease Research Program (TB200032). Opinions, interpretations, conclusions, and recommendations are those of the authors and are not necessarily endorsed by the Department of Defense. This work was also supported by the NIH Institutional Training Grants for A. G. S. and H. K. M. (T32 GM007287 and GM136540) and by the National Science Foundation Graduate Research Fellowship to H. K. M. (2141064).

Author contributions

A.G.S.: Conceptualization, Methodology, Investigation, Formal Analysis, Validation, Visualization, Writing - Original Draft, Writing - Review & Editing. H.K.M.: Investigation, Validation, Writing - Review & Editing. A. F. M.: Validation. R.L.L.: Conceptualization, Writing - Original Draft, Writing - Review & Editing, Supervision, Funding Acquisition.

Peer review

Peer review information

Nature Communications thanks Joseph Gillespie, Ľudovít Škultéty and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. A peer review file is available.

Data availability

The protein mass spectrometry data generated in this study have been deposited in the public proteomics repository MassIVE (https://massive.ucsd.edu) under accession codes MSV000093380 and MSV000093381. Source data are provided with this paper.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

The online version contains supplementary material available at 10.1038/s41467-024-50493-9.

References

  • 1.Walker DH, Ismail N. Emerging and re-emerging rickettsioses: endothelial cell infection and early disease events. Nat. Rev. Microbiol. 2008;6:375. doi: 10.1038/nrmicro1866. [DOI] [PubMed] [Google Scholar]
  • 2.Parola P, et al. Update on tick-borne rickettsioses around the world: a geographic approach. Clin. Microbiol. Rev. 2013;26:657–702. doi: 10.1128/CMR.00032-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.McGinn J, Lamason RL. The enigmatic biology of rickettsiae: recent advances, open questions and outlook. Pathog. Dis. 2021;79:ftab019. doi: 10.1093/femspd/ftab019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Hillman RD, Baktash YM, Martinez JJ. OmpA-mediated rickettsial adherence to and invasion of human endothelial cells is dependent upon interaction with α2β1 integrin. Cell. Microbiol. 2013;15:727–741. doi: 10.1111/cmi.12068. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Chan YG-Y, Riley SP, Martinez JJ. Adherence to and invasion of host cells by spotted fever group Rickettsia species. Front. Microbiol. 2010;1:139. doi: 10.3389/fmicb.2010.00139. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Reed SCO, Lamason RL, Risca VI, Abernathy E, Welch MD. Rickettsia actin-based motility occurs in distinct phases mediated by different actin nucleators. Curr. Biol. 2014;24:98–103. doi: 10.1016/j.cub.2013.11.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Ammerman NC, Rahman MS, Azad AF. Characterization of Sec-translocon-dependent extracytoplasmic proteins of Rickettsia typhi. J. Bacteriol. 2008;190:6234–6242. doi: 10.1128/JB.00794-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Pornwiroon W, Bourchookarn A, Paddock CD, Macaluso KR. Proteomic analysis of Rickettsia parkeri strain Portsmouth. Infect. Immun. 2009;77:5262–5271. doi: 10.1128/IAI.00911-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Sears KT, et al. Surface proteome analysis and characterization of surface cell antigen (Sca) or autotransporter family of Rickettsia typhi. PLoS Pathog. 2012;8:e1002856. doi: 10.1371/journal.ppat.1002856. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Gong W, et al. Identification of novel surface-exposed proteins of Rickettsia rickettsii by affinity purification and proteomics. PLoS ONE. 2014;9:e100253. doi: 10.1371/journal.pone.0100253. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Csicsay F, et al. Proteomic analysis of Rickettsia akari proposes a 44 kDa-OMP as a potential biomarker for rickettsialpox diagnosis. BMC Microbiol. 2020;20:200. doi: 10.1186/s12866-020-01877-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Lamason RL, et al. Rickettsia Sca4 reduces vinculin-mediated intercellular tension to promote spread. Cell. 2016;167:670–683.e10. doi: 10.1016/j.cell.2016.09.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Lehman SS, et al. The rickettsial ankyrin repeat protein 2 Is a type IV secreted effector that associates with the endoplasmic reticulum. mBio. 2018;9:e00975–18. doi: 10.1128/mBio.00975-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Aistleitner K, Clark T, Dooley C, Hackstadt T. Selective fragmentation of the trans-Golgi apparatus by Rickettsia rickettsii. PLoS Pathog. 2020;16:e1008582. doi: 10.1371/journal.ppat.1008582. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Borgo GM, et al. A patatin-like phospholipase mediates Rickettsia parkeri escape from host membranes. Nat. Commun. 2022;13:3656. doi: 10.1038/s41467-022-31351-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Rahman MS, et al. Rickettsia typhi possesses phospholipase A2 enzymes that are involved in infection of host cells. PLoS Pathog. 2013;9:e1003399. doi: 10.1371/journal.ppat.1003399. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Voss OH, et al. Risk1, a phosphatidylinositol 3-kinase effector, promotes Rickettsia typhi intracellular survival. mBio. 2020;11:e00820-20. doi: 10.1128/mBio.00820-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Rennoll-Bankert KE, et al. Which way in? The RalF Arf-GEF orchestrates Rickettsia host cell invasion. PLoS Pathog. 2015;11:e1005115. doi: 10.1371/journal.ppat.1005115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Rennoll-Bankert KE, et al. RalF-mediated activation of Arf6 controls Rickettsia typhi invasion by co-opting phosphoinositol metabolism. Infect. Immun. 2016;84:3496–3506. doi: 10.1128/IAI.00638-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Mou X, Souter S, Du J, Reeves AZ, Lesser CF. Synthetic bottom-up approach reveals the complex interplay of Shigella effectors in regulation of epithelial cell death. Proc. Natl Acad. Sci. USA. 2018;115:6452–6457. doi: 10.1073/pnas.1801310115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Pillay TD, et al. Speaking the host language: how Salmonella effector proteins manipulate the host. Microbiology. 2023;169:001342. doi: 10.1099/mic.0.001342. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Lutter EI, Martens C, Hackstadt T. Evolution and conservation of predicted inclusion membrane proteins in Chlamydiae. Comp. Funct. Genom. 2012;2012:362104. doi: 10.1155/2012/362104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Lifshitz Z, et al. Identification of novel Coxiella burnetii Icm/Dot effectors and genetic analysis of their involvement in modulating a mitogen-activated protein kinase pathway. Infect. Immun. 2014;82:3740–3752. doi: 10.1128/IAI.01729-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Burstein D, et al. Genomic analysis of 38 Legionella species identifies large and diverse effector repertoires. Nat. Genet. 2016;48:167–175. doi: 10.1038/ng.3481. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Bumann D, et al. Proteome analysis of secreted proteins of the gastric pathogen Helicobacter pylori. Infect. Immun. 2002;70:3396–3403. doi: 10.1128/IAI.70.7.3396-3403.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Galka F, et al. Proteomic characterization of the whole secretome of Legionella pneumophila and functional analysis of outer membrane vesicles. Infect. Immun. 2008;76:1825–1836. doi: 10.1128/IAI.01396-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Eshraghi A, et al. Secreted effectors encoded within and outside of the Francisella pathogenicity island promote intramacrophage growth. Cell Host Microbe. 2016;20:573–583. doi: 10.1016/j.chom.2016.10.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Luo Z-Q, Isberg RR. Multiple substrates of the Legionella pneumophila Dot/Icm system identified by interbacterial protein transfer. Proc. Natl Acad. Sci. USA. 2004;101:841–846. doi: 10.1073/pnas.0304916101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Geddes K, Worley M, Niemann G, Heffron F. Identification of new secreted effectors in Salmonella enterica serovar Typhimurium. Infect. Immun. 2005;73:6260–6271. doi: 10.1128/IAI.73.10.6260-6271.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.VieBrock L, et al. Orientia tsutsugamushi ankyrin repeat-containing protein family members are type 1 secretion system substrates that traffic to the host cell endoplasmic reticulum. Front. Cell. Infect. Microbiol. 2015;4:186. doi: 10.3389/fcimb.2014.00186. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Whitaker N, et al. Chimeric coupling proteins mediate transfer of heterologous type IV effectors through the Escherichia coli pKM101-encoded conjugation machine. J. Bacteriol. 2016;198:2701–2718. doi: 10.1128/JB.00378-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.McCaslin PN, et al. Identification and preliminary characterization of novel type III secreted effector proteins in Chlamydia trachomatis. Infect. Immun. 2023;91:e00491–22. doi: 10.1128/iai.00491-22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Samudrala R, Heffron F, McDermott JE. Accurate prediction of secreted substrates and identification of a conserved putative secretion signal for type III secretion systems. PLoS Pathog. 2009;5:e1000375. doi: 10.1371/journal.ppat.1000375. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.McClure EE, et al. Engineering of obligate intracellular bacteria: progress, challenges and paradigms. Nat. Rev. Microbiol. 2017;15:544–558. doi: 10.1038/nrmicro.2017.59. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Schmidt F, Völker U. Proteome analysis of host–pathogen interactions: investigation of pathogen responses to the host cell environment. Proteomics. 2011;11:3203–3211. doi: 10.1002/pmic.201100158. [DOI] [PubMed] [Google Scholar]
  • 36.Esna Ashari Z, Brayton KA, Broschat SL. Prediction of T4SS effector proteins for Anaplasma phagocytophilum using OPT4e, a new software tool. Front. Microbiol. 2019;10:1391. doi: 10.3389/fmicb.2019.01391. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Lehman SS, Verhoeve VI, Driscoll TP, Beckmann JF, Gillespie JJ. Metagenome diversity illuminates the origins of pathogen effectors. mBio. 2024;15:e0075923. doi: 10.1128/mbio.00759-23. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Dieterich DC, Link AJ, Graumann J, Tirrell DA, Schuman EM. Selective identification of newly synthesized proteins in mammalian cells using bioorthogonal noncanonical amino acid tagging (BONCAT) Proc. Natl Acad. Sci. USA. 2006;103:9482–9487. doi: 10.1073/pnas.0601637103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Ngo JT, et al. Cell-selective metabolic labeling of proteins. Nat. Chem. Biol. 2009;5:715–717. doi: 10.1038/nchembio.200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Grammel M, Zhang MM, Hang HC. Orthogonal alkynyl amino acid reporter for selective labeling of bacterial proteomes during Infection. Angew. Chem. Int. Ed. 2010;49:5970–5974. doi: 10.1002/anie.201002050. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Mahdavi A, et al. Identification of secreted bacterial proteins by noncanonical amino acid tagging. Proc. Natl Acad. Sci. USA. 2014;111:433–438. doi: 10.1073/pnas.1301740111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Chande AG, et al. Selective enrichment of mycobacterial proteins from infected host macrophages. Sci. Rep. 2015;5:13430. doi: 10.1038/srep13430. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Franco M, et al. Proteomic profiling of Burkholderia thailandensis during host infection using bio-orthogonal noncanonical amino acid tagging (BONCAT) Front. Cell. Infect. Microbiol. 2018;8:370. doi: 10.3389/fcimb.2018.00370. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Sanderlin AG, Hanna RE, Lamason RL. The ankyrin repeat protein RARP-1 is a periplasmic factor that supports Rickettsia parkeri growth and host cell invasion. J. Bacteriol. 2022;204:e00182–22. doi: 10.1128/jb.00182-22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Blanc G, et al. Molecular evolution of Rickettsia surface antigens: evidence of positive selection. Mol. Biol. Evol. 2005;22:2073–2083. doi: 10.1093/molbev/msi199. [DOI] [PubMed] [Google Scholar]
  • 46.Riley SP, et al. The Rickettsia conorii autotransporter protein Sca1 promotes adherence to nonphagocytic mammalian cells. Infect. Immun. 2010;78:1895–1904. doi: 10.1128/IAI.01165-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Noriea NF, Clark TR, Hackstadt T. Targeted knockout of the Rickettsia rickettsii OmpA surface antigen does not diminish virulence in a mammalian model system. mBio. 2015;6:e00323–15. doi: 10.1128/mBio.00323-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Nock AM, et al. Identification of an autotransporter peptidase of Rickettsia rickettsii responsible for maturation of surface exposed autotransporters. PLoS Pathog. 2023;19:e1011527. doi: 10.1371/journal.ppat.1011527. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Patel JG, et al. Evolution, purification, and characterization of RC0497: a peptidoglycan amidase from the prototypical spotted fever species Rickettsia conorii. Biol. Chem. 2020;401:249–262. doi: 10.1515/hsz-2018-0389. [DOI] [PubMed] [Google Scholar]
  • 50.Mirdita M, et al. ColabFold: making protein folding accessible to all. Nat. Methods. 2022;19:679–682. doi: 10.1038/s41592-022-01488-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.van Kempen M, et al. Fast and accurate protein structure search with Foldseek. Nat. Biotechnol. 2024;42:243–246. doi: 10.1038/s41587-023-01773-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Zimmermann L, et al. A completely reimplemented MPI Bioinformatics Toolkit with a new HHpred server at its core. J. Mol. Biol. 2018;430:2237–2243. doi: 10.1016/j.jmb.2017.12.007. [DOI] [PubMed] [Google Scholar]
  • 53.Kelley LA, Mezulis S, Yates CM, Wass MN, Sternberg MJE. The Phyre2 web portal for protein modeling, prediction and analysis. Nat. Protoc. 2015;10:845–858. doi: 10.1038/nprot.2015.053. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Lynch MJ, et al. Co-folding of a FliF-FliG split domain forms the basis of the MS:C ring interface within the bacterial flagellar motor. Structure. 2017;25:317–328. doi: 10.1016/j.str.2016.12.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Zhang R, Kennedy MA. Current understanding of the structure and function of pentapeptide repeat proteins. Biomolecules. 2021;11:638. doi: 10.3390/biom11050638. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Lupas AN, Bassler J. Coiled coils – a model system for the 21st century. Trends Biochem. Sci. 2017;42:130–140. doi: 10.1016/j.tibs.2016.10.007. [DOI] [PubMed] [Google Scholar]
  • 57.Schmidt H, Hensel M. Pathogenicity islands in bacterial pathogenesis. Clin. Microbiol. Rev. 2004;17:14–56. doi: 10.1128/CMR.17.1.14-56.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Gillespie JJ, et al. Secretome of obligate intracellular Rickettsia. FEMS Microbiol. Rev. 2015;39:47–80. doi: 10.1111/1574-6976.12084. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Noroy C, Lefrançois T, Meyer DF. Searching algorithm for type IV effector proteins (S4TE) 2.0: improved tools for type IV effector prediction, analysis and comparison in proteobacteria. PLoS Comput. Biol. 2019;15:e1006847. doi: 10.1371/journal.pcbi.1006847. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Delepelaire P. Type I secretion in gram-negative bacteria. Biochim. Biophys. Acta. 2004;1694:149–161. doi: 10.1016/j.bbamcr.2004.05.001. [DOI] [PubMed] [Google Scholar]
  • 61.Torruellas Garcia J, et al. Measurement of effector protein injection by type III and type IV secretion systems by using a 13-residue phosphorylatable glycogen synthase kinase tag. Infect. Immun. 2006;74:5645–5657. doi: 10.1128/IAI.00690-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Nock AM, Clark TR, Hackstadt T. Regulator of actin-based motility (RoaM) downregulates actin tail formation by Rickettsia rickettsii and is negatively selected in mammalian cell culture. mBio. 2022;13:e0035322. doi: 10.1128/mbio.00353-22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Bauler LD, Hackstadt T. Expression and targeting of secreted proteins from Chlamydia trachomatis. J. Bacteriol. 2014;196:1325–1334. doi: 10.1128/JB.01290-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Weber MM, et al. Identification of Coxiella burnetii type IV secretion substrates required for intracellular replication and Coxiella-containing vacuole formation. J. Bacteriol. 2013;195:3914–3924. doi: 10.1128/JB.00071-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Gemmer M, Förster F. A clearer picture of the ER translocon complex. J. Cell Sci. 2020;133:jcs231340. doi: 10.1242/jcs.231340. [DOI] [PubMed] [Google Scholar]
  • 66.Itskanov S, et al. A common mechanism of Sec61 translocon inhibition by small molecules. Nat. Chem. Biol. 2023;19:1063–1071. doi: 10.1038/s41589-023-01337-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Tannous BA, Kim D-E, Fernandez JL, Weissleder R, Breakefield XO. Codon-optimized Gaussia luciferase cDNA for mammalian gene expression in culture and in vivo. Mol. Ther. 2005;11:435–443. doi: 10.1016/j.ymthe.2004.10.016. [DOI] [PubMed] [Google Scholar]
  • 68.Helms JB, Rothman JE. Inhibition by brefeldin A of a Golgi membrane enzyme that catalyses exchange of guanine nucleotide bound to ARF. Nature. 1992;360:352–354. doi: 10.1038/360352a0. [DOI] [PubMed] [Google Scholar]
  • 69.Weigele BA, Orchard RC, Jimenez A, Cox GW, Alto NM. A systematic exploration of the interactions between bacterial effector proteins and host cell membranes. Nat. Commun. 2017;8:532. doi: 10.1038/s41467-017-00700-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Krampen L, et al. Revealing the mechanisms of membrane protein export by virulence-associated bacterial secretion systems. Nat. Commun. 2018;9:3467. doi: 10.1038/s41467-018-05969-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Li X, et al. A molecular mechanism for turning off IRE1α signaling during endoplasmic reticulum stress. Cell Rep. 2020;33:108563. doi: 10.1016/j.celrep.2020.108563. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Schäuble N, et al. BiP-mediated closing of the Sec61 channel limits Ca2+ leakage from the ER. EMBO J. 2012;31:3282–3296. doi: 10.1038/emboj.2012.189. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Zhao Y, et al. Quantitative proteomics of the endothelial secretome identifies RC0497 as diagnostic of acute rickettsial spotted fever infections. Am. J. Pathol. 2020;190:306–322. doi: 10.1016/j.ajpath.2019.10.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Teufel F, et al. SignalP 6.0 predicts all five types of signal peptides using protein language models. Nat. Biotechnol. 2022;40:1023–1025. doi: 10.1038/s41587-021-01156-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Armenteros JJA, et al. Detecting sequence signals in targeting peptides using deep learning. Life Sci. Alliance. 2019;2:e201900429. doi: 10.26508/lsa.201900429. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Fukasawa Y, et al. MitoFates: improved prediction of mitochondrial targeting sequences and their cleavage sites. Mol. Cell. Proteom. 2015;14:1113–1126. doi: 10.1074/mcp.M114.043083. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Andersson SGE, et al. The genome sequence of Rickettsia prowazekii and the origin of mitochondria. Nature. 1998;396:133–140. doi: 10.1038/24094. [DOI] [PubMed] [Google Scholar]
  • 78.Gillespie JJ, et al. A Rickettsia genome overrun by mobile genetic elements provides insight into the acquisition of genes characteristic of an obligate intracellular lifestyle. J. Bacteriol. 2012;194:376–394. doi: 10.1128/JB.06244-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Gillespie JJ, et al. Genomic diversification in strains of Rickettsia felis isolated from different arthropods. Genome Biol. Evol. 2014;7:35–56. doi: 10.1093/gbe/evu262. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Verhoeve VI, Fauntleroy TD, Risteen RG, Driscoll TP, Gillespie JJ. Cryptic genes for interbacterial antagonism distinguish Rickettsia species infecting blacklegged ticks from other Rickettsia pathogens. Front. Cell. Infect. Microbiol. 2022;12:880813. doi: 10.3389/fcimb.2022.880813. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Narra HP, et al. Comparative transcriptomic analysis of Rickettsia conorii during in vitro infection of human and tick host cells. BMC Genom. 2020;21:665. doi: 10.1186/s12864-020-07077-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Ellison DW, Clark TR, Sturdevant DE, Virtaneva K, Hackstadt T. Limited transcriptional responses of Rickettsia rickettsii exposed to environmental stimuli. PLoS ONE. 2009;4:e5612. doi: 10.1371/journal.pone.0005612. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Dreher-Lesnick SM, Ceraul SM, Rahman MS, Azad AF. Genome-wide screen for temperature-regulated genes of the obligate intracellular bacterium, Rickettsia typhi. BMC Microbiol. 2008;8:61. doi: 10.1186/1471-2180-8-61. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Welch MD, Reed SCO, Lamason RL, Serio AW. Expression of an epitope-tagged virulence protein in Rickettsia parkeri using transposon insertion. PLoS ONE. 2012;7:e37310. doi: 10.1371/journal.pone.0037310. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Liu Z-M, Tucker AM, Driskell LO, Wood DO. Mariner-based transposon mutagenesis of Rickettsia prowazekii. Appl. Environ. Microbiol. 2007;73:6644–6649. doi: 10.1128/AEM.01727-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Laukaitis HJ, et al. Transposon mutagenesis of Rickettsia felis sca1 confers a distinct phenotype during flea infection. PLoS Pathog. 2022;18:e1011045. doi: 10.1371/journal.ppat.1011045. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Gillespie JJ, et al. The Rickettsia type IV secretion system: unrealized complexity mired by gene family expansion. Pathog. Dis. 2016;74:ftw058. doi: 10.1093/femspd/ftw058. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Voth DE, Broederdorf LJ, Graham JG. Bacterial type IV secretion systems: versatile virulence machines. Future Microbiol. 2012;7:241–257. doi: 10.2217/fmb.11.150. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.McDermott JE, et al. Computational prediction of type III and IV secreted effectors in Gram-negative bacteria. Infect. Immun. 2011;79:23–32. doi: 10.1128/IAI.00537-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Spitz O, et al. Identity determinants of the translocation signal for a type 1 secretion system. Front. Physiol. 2022;12:804646. doi: 10.3389/fphys.2021.804646. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Macaluso KR, Sonenshine DE, Ceraul SM, Azad AF. Rickettsial infection in Dermacentor variabilis (Acari: Ixodidae) inhibits transovarial transmission of a second Rickettsia. J. Med. Entomol. 2002;39:809–813. doi: 10.1603/0022-2585-39.6.809. [DOI] [PubMed] [Google Scholar]
  • 92.Gall CA, et al. The bacterial microbiome of Dermacentor andersoni ticks influences pathogen susceptibility. ISME J. 2016;10:1846–1855. doi: 10.1038/ismej.2015.266. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Maitre A, et al. Rickettsia helvetica infection is associated with microbiome modulation in Ixodes ricinus collected from humans in Serbia. Sci. Rep. 2022;12:11464. doi: 10.1038/s41598-022-15681-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Dodge GJ, Bernstein HM, Imperiali B. A generalizable protocol for expression and purification of membrane-bound bacterial phosphoglycosyl transferases in liponanoparticles. Protein Expr. Purif. 2023;207:106273. doi: 10.1016/j.pep.2023.106273. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.McKinley KL, Cheeseman IM. Large-scale analysis of CRISPR/Cas9 cell-cycle knockouts reveals the diversity of p53-dependent responses to cell-cycle defects. Dev. Cell. 2017;40:405–420.e2. doi: 10.1016/j.devcel.2017.01.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Acevedo-Sánchez, Y., Woida, P. J., Kraemer, S. & Lamason, R. L. An obligate intracellular bacterial pathogen forms a direct, interkingdom membrane contact site. Preprint at bioRxiv10.1101/2023.06.05.543771 (2023).
  • 97.Lamason RL, Kafai NM, Welch MD. A streamlined method for transposon mutagenesis of Rickettsia parkeri yields numerous mutations that impact infection. PLoS ONE. 2018;13:e0197012. doi: 10.1371/journal.pone.0197012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.Ivanov KI, Bašić M, Varjosalo M, Mäkinen K. One-step purification of twin-Strep-tagged proteins and their complexes on Strep-Tactin resin cross-linked With bis(sulfosuccinimidyl) suberate (BS3) J. Vis. Exp. 2014;86:51536. doi: 10.3791/51536. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Rappsilber J, Mann M, Ishihama Y. Protocol for micro-purification, enrichment, pre-fractionation and storage of peptides for proteomics using StageTips. Nat. Protoc. 2007;2:1896–1906. doi: 10.1038/nprot.2007.261. [DOI] [PubMed] [Google Scholar]
  • 100.Schulte F, Hasturk H, Hardt M. Mapping relative differences in human salivary gland secretions by dried saliva spot sampling and nanoLC–MS/MS. Proteomics. 2019;19:1900023. doi: 10.1002/pmic.201900023. [DOI] [PubMed] [Google Scholar]
  • 101.Boratyn GM, et al. BLAST: a more efficient report with usability improvements. Nucleic Acids Res. 2013;41:W29–W33. doi: 10.1093/nar/gkt282. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Olson RD, et al. Introducing the Bacterial and Viral Bioinformatics Resource Center (BV-BRC): a resource combining PATRIC, IRD and ViPR. Nucleic Acids Res. 2022;51:D678–D689. doi: 10.1093/nar/gkac1003. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Information (857.7KB, pdf)
Peer Review File (669.1KB, pdf)
41467_2024_50493_MOESM3_ESM.pdf (89.7KB, pdf)

Description of Additional Supplementary Files

Supplementary Data 1 (14.1KB, xlsx)
Supplementary Data 2 (111.7KB, xlsx)
Reporting Summary (97.9KB, pdf)
Source Data (3.9MB, xlsx)

Data Availability Statement

The protein mass spectrometry data generated in this study have been deposited in the public proteomics repository MassIVE (https://massive.ucsd.edu) under accession codes MSV000093380 and MSV000093381. Source data are provided with this paper.


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