Abstract
The unfolded protein response (UPR) is an adaptation mechanism activated to resolve transient accumulation of unfolded/misfolded proteins in the endoplasmic reticulum. Failure to resolve the transient accumulation of such proteins results in UPR-mediated programmed cell death. Loss of tumor suppressor gene or oncogene addiction in cancer cells can result in sustained higher basal UPR levels; however, it is not clear if these higher basal UPR levels in cancer cells can be exploited as a therapeutic strategy. We hypothesized that covalent modification of surface-exposed cysteine (SEC) residues could simulate unfolded/misfolded proteins to activate the UPR, and that higher basal UPR levels in cancer cells would provide the necessary therapeutic window. To test this hypothesis, here we synthesized analogs that can covalently modify multiple SEC residues and evaluated them as UPR activators. We identified a spirocyclic dimer, SpiD7, and evaluated its effects on UPR activation signals, that is, XBP1 splicing, phosphorylation of eIF2α, and a decrease in ATF 6 levels, in normal and cancer cells, which were further confirmed by RNA-Seq analyses. We found that SpiD7 selectively induced caspase-mediated apoptosis in cancer cells, whereas normal cells exhibited robust XBP1 splicing, indicating adaptation to stress. Furthermore, SpiD7 inhibited the growth of high-grade serous carcinoma cell lines ~3-15-fold more potently than immortalized fallopian tube epithelial (paired normal control) cells and reduced clonogenic growth of high-grade serous carcinoma cell lines. Our results suggest that induction of the UPR by covalent modification of SEC residues represents a cancer cell vulnerability and can be exploited to discover novel therapeutics.
Keywords: small molecule, isatin-derived spirocyclic dimer, protein misfolding, UPR, UPR activation, cancer cell vulnerability, apoptosis
Abbreviations: ATF6, activating transcription factor 6; BiP, binding immunoglobulin protein; CHOP, C/EBP homologous protein; eIF2α, eukaryotic initiation factor 2α; EIF2AK3, eukaryotic translation initiation factor 2 alpha kinase 3; ER, endoplasmic reticulum; ERAD, ER-associated degradation; HGSC, high-grade serous carcinoma; IKKβ, inhibitor of NF-κB kinase subunit beta; IRE1, inositol-requiring enzyme 1; MS, mass spectrometry; PARP, poly(ADP-ribose) polymerase; PERK, protein kinase R–like ER kinase; pS51, phosphorylation of serine 51; RELA, v-rel avian reticuloendotheliosis viral oncogene homolog A; SEC, surface-exposed cysteine; Tg, thapsigargin; TPE-MI, tetraphenylethene maleimide; UNMC, University of Nebraska Medical Center; UPR, unfolded protein response; XBP1, X-box binding protein 1
Unfolded protein response (UPR) is an adaptation mechanism designed to handle increased folding needs in cells and restore proteostasis. In normal cells, extrinsic stressors such as nutrient deprivation or acidosis trigger transient activation of UPR to restore proteostasis. Failure to restore proteostasis activates an apoptosis program. UPR is a protective mechanism designed to handle stress, and the level/intensity of stress dictates cell fate decisions (1, 2, 3, 4, 5, 6, 7, 8). Under acute endoplasmic reticulum (ER) stress conditions, adaptation mechanisms, such as expression of chaperones to increase folding capacity and ER-associated degradation (ERAD) proteins to clear misfolded proteins, are activated to restore normal homeostasis (9, 10, 11). However, under chronic ER stress, the adaptation mechanisms are overwhelmed, and cell death pathways are activated by, among others, transcription factor C/EBP homologous protein (CHOP) (12). In addition to cell extrinsic stressors that are transiently experienced by normal cells, tumor cells also face cell intrinsic stressors such as loss of tumor suppressors and oncogene addiction. A recent study showed that loss of the tumor suppressor phosphatase and tensin homolog deleted on chromosome 10 in high-grade serous carcinoma (HGSC) was associated with a higher burden of misfolded proteins. Phosphatase and tensin homolog deleted on chromosome 10 loss resulted in (a) higher basal levels of UPR-associated proteins and (b) increased sensitivity to bortezomib (13). This higher basal proteostasis makes cancer cells particularly vulnerable to UPR activation–induced apoptosis. Figure 1 is a model for the aforementioned, wherein the resting proteostasis in cancer and normal cells is shown in red and green, respectively. The effect of UPR activation is shown as red and green arrows in cancer and normal cells, respectively. The therapeutic window shown as a double-headed arrow, that is, the difference between the resting proteostasis levels of cancer cells and normal cells is the same for UPR activators and UPR inhibitors. Theoretically, from a therapeutic standpoint, UPR activators will drive cancer cells toward apoptosis, whereas UPR inhibitors will reduce the proliferative capacity of the cancer cells.
Figure 1.
Rationale for the development of UPR inhibitors and UPR activators. The red and green dotted lines indicate hypothetical resting proteostasis levels in cancer and normal cells, respectively. The red and green arrows indicate UPR activation in cancer and normal cells. The blue arrow indicates the effects of UPR inhibition in cancer cells. UPR, unfolded protein response.
UPR activation is regulated by three major pathways, namely activating transcription factor 6 (ATF6), protein kinase R–like ER kinase (PERK), and inositol-requiring enzyme 1 (IRE1). Although all three pathways upregulate the expression of chaperones, IRE1 and PERK pathways also upregulate ERAD and apoptosis-associated genes, respectively. Activation of UPR pathways is monitored by specific readouts. Decrease in ATF6 levels serves as a sensor for ATF6 pathway activation. Thapsigargin (Tg)-induced ER Ca2+ depletion leads to the proteolytic cleavage of membrane-bound ATF6 to release soluble ATF6(p50), which translocates to the nucleus and activates transcription of the chaperone binding immunoglobulin protein (BiP) (11). Hypoxia-induced stress leads to the activation of PERK pathway. This is indicated by hyperphosphorylation of PERK and phosphorylation of serine 51 (pS51) on eukaryotic initiation factor 2α (eIF2α) (14). These phosphorylation events serve as readouts for PERK pathway activation. Increased level of unfolded proteins causes IRE1-dependent splicing of a small intron from X-box binding protein 1 (XBP1) (15, 16, 17). Spliced XBP1 is a sensor for the IRE1–XBP1 pathway that transcriptionally regulates levels of ERAD components (18).
A wide array of small molecules that directly or indirectly perturb UPR have been reported (19). The therapeutic window, that is, the difference in resting proteostasis in cancer cells versus normal cells, suggests that both UPR inhibitors and UPR activators can be explored as cancer therapeutics (Fig. 1). Examples include BiP inhibitor YUM70 that exhibits in vitro and in vivo effects in pancreatic cancer models (20, 21). Studies with IRE1 inhibitor MKC8866 in multiple prostate cancer models revealed that it targeted the prosurvival role of IRE1–XBP1 axis that activated c-Myc (22, 23). Knockout and mutational studies with PERK and eIF2αS51A, respectively, impairs tumor growth in hypoxic regions because of impaired integrated stress response (24). PERK inhibitors, GSK2606414 and GSK2656157, exhibited antitumor effects; however, pancreatic damage because of dose-limiting toxicity remains a concern (25, 26, 27). Along with PERK, general control nonderepressible 2 and heme-regulated inhibitory kinase are eIF2α kinases that are known to elicit integrated stress response. An example of a direct activator of UPR is the urea analog (3r) that inhibited tumor growth by heme-regulated inhibitory kinase–mediated phosphorylation of eIF2α (28). UPR activators that do not directly target the proteins associated with UPR have also been identified. Compound 147, identified through an elegant screen, covalently modifies protein disulfide isomerases to preferentially activate ATF6 (29). Proteasome inhibitors (Velcade, Ninlaro, and Kyprolis) elevate the levels of ubiquitinated proteins, thereby activating UPR-mediated cell death. A characteristic of misfolded proteins is a higher percentage of surface-exposed hydrophobic patches. This is recognized by the endogenous protein quality control machinery and activates their degradation. This inspired several laboratories to append hydrophobic tags to high-affinity small molecules to drive the degradation of the target proteins (30, 31, 32, 33, 34, 35, 36, 37, 38). Along these lines, we explored covalent modification of surface-exposed cysteine (SEC) residues to simulate elevated levels of unfolded/misfolded proteins to selectively induce UPR-mediated cancer cell death.
Results
Analog 19 covalently modifies >330 proteins
We previously reported the discovery of a spirocyclic compound with an α-methylene-γ-butyrolactone (19) that covalently modified NF-κB pathway proteins, RELA (v-rel avian reticuloendotheliosis viral oncogene homolog A) and IKKβ (inhibitor of NF-κB kinase subunit beta), by targeting SECs (39, 40, 41). To identify proteome-wide targets of analog 19, we conducted a click-mass spectrometry (MS) study using an alkyne-tagged analog 19 (Fig. 2). A total of 635 proteins were covalently bound by analog 19 (peptide threshold >95%; protein threshold >99% with one peptide minimum) from two runs (Table S1). RELA and IKKβ are low abundant proteins, and they were not identified in the click-MS study. The biological replicates recalled ∼53% (339) of proteins that were bound to analog 19, and 6% of the recalled proteins are localized to the ER (42). Pathway analysis (reactome, version 79; reactome.org) revealed that 14 of 20 most significant pathways were related to translation of proteins (Table S2). Since analog 19 covalently modifies >330 proteins, we hypothesized that a dimer of analog 19 with two covalent modifiers would either covalently modify multiple residues in these proteins to mimic a large hydrophobic patch on the surface or bind to proximal Cys residues on two proteins to simulate a misfolded protein and activate UPR.
Figure 2.
Identification of proteome-wide targets of 19 in MiaPaCa2 cells. Cells were incubated with 10 μM of alkyne-tagged monomer 19 for 1 h. The lysates were subjected to click reagents and biotin-azide. Biotinylated 19-tagged proteins were isolated on a streptavidin column. Following elution proteins were subjected to mass spectrometry analyses. Venn diagram showing the recalled number of proteins identified in the biological replicates. A scatter plot of the number of peptides in the 339 recalled proteins from the biological replicates.
Dimer of analog 19 (SpiD7) activates UPR
To test this hypothesis, we assembled dimers of analog 19 with 7-carbon and 12-carbon linkers (SpiD7 and SpiD12) along with an acyclic dimer (SpiD7-A), dimer without the covalent modifier (SpiD7-R), and a diiodo compound (SpiD7-C) and evaluated them for UPR activation. Briefly, OVCAR5 cells were incubated with the aforementioned compounds (Fig. 3A), and the lysates were probed for proteins in the UPR pathways (Fig. 3B). The results showed that SpiD7 was the only compound that reduced full-length ATF6 levels which is indicative of cleavage-induced activation and induced XBP1 splicing. We also observed PERK activation (the slower moving p-PERK band) resulting in eIF2α phosphorylation. Moreover, in SpiD7-treated lysates, we observed reduced caspase 7 and 9 levels, along with increased levels of cleaved poly(ADP-ribose) polymerase (PARP). We did not observe any such effects in 19, SpiD12, SpiD7-A, SpiD7-R, and SpiD7-C indicating that the (a) linker length, (b) spirocyclic core, and (c) Michael acceptor contribute to UPR activation and induction of apoptosis. Consistently, results from a growth inhibition assay showed that SpiD7 was the most potent among the panel of analogs screened (Fig. 3C).
Figure 3.
Effect of SpiD7 and its analogs on UPR-associated proteins, cancer cell growth, and apoptosis.A, structure of compounds used for the structure–activity relationship (SAR) study. B, cancer cells (OVCAR5) treated with 10 μM of 19, SpiD7, SpiD12, SpiD7-A, SpiD7-R, or SpiD7-C and incubated for 6 h. The lysates were probed for the indicated UPR and apoptosis-associated proteins. C, cancer cells (OVCAR5) treated with varying concentrations of 19, SpiD7, SpiD12, SpiD7-A, SpiD7-R, or SpiD7-C and incubated for 72 h, and growth inhibition (GI) was determined using Alamar Blue (n = 3, average ± SD). D, immortalized fallopian tube epithelial cells (FT282C11) and cancer cells (OVCAR5) were incubated with 10 μM of fluorescent dye TPE-MI, and fluorescence was recorded after a 10 min incubation (n = 6, average ± SD, p value two-tailed t test). E, immortalized fallopian tube cells (FT282C11) and cancer cells (OVCAR5) were treated with 10 μM of 19 and SpiD7 and incubated for 2 h. The lysates were probed for the indicated UPR and apoptosis-associated proteins. Blots shown are representative examples of at least biological replicates. UPR, unfolded protein response.
SpiD7 activates UPR in both normal and cancer cells and selectively induces apoptosis in cancer cells
The levels of SEC residues are greater in unfolded proteins as compared with their folded counterparts. A thiol probe tetraphenylethene maleimide (TPE-MI) was used to measure unfolded protein levels in cells by binding to free sulfhydryl groups on cysteine residues present on unfolded proteins, which are otherwise buried in their folded counterparts (43, 44). We treated immortalized fallopian tube epithelial cells (FT282C11) (45, 46), which represent a normal cell control, and cancer cell lines (OVCAR5 and OVCAR8) with TPE-MI to assess relative levels of unfolded proteins. We observed high TPE-MI fluorescence in cancer cells suggesting elevated levels of SECs (unfolded proteins) (Figs. 3D and S1).
Next, we treated FT282C11 and OVCAR5 cells with 19 or SpiD7 to determine their effect on UPR activation. In dimethyl sulfoxide–treated samples, we observed elevated levels of splicedXBP1 in OVCAR5 cells when compared with FT282C11 cells (Fig. 3E, lanes 1 versus 4). This suggests that UPR is activated (higher resting proteostasis, Fig. 1) in resting cancer cells compared with normal cells. Analog 19 did not affect the levels of pS51-eIF2α, XBP1 splicing, or ATF6, demonstrating that 19 does not activate UPR in either OVCAR5 or FT282C11 cells (Fig. 3E, lanes 1 versus 2 and 4 versus 5). In SpiD7-treated FT282C11 (Fig. 3E, lanes 1 versus 3) and OVCAR5 (Fig. 3E, lanes 4 versus 6) cells, we observed an increase in pS51-eIF2α levels. A robust increase in XBP1 levels was observed in SpiD7-treated FT282C11, whereas no such increase was observed in OVCAR5 cells (Fig. 3E, lanes 1 and 3 versus 4 and 6). SpiD7 nonselectively activated ATF6 (Fig. 3E, lanes 3 and 6), which is consistent with reported small-molecule probes that covalently target cysteine residues on protein disulfide isomerases to activate ATF6 (29). Moreover, we observed a more robust CleavedCaspase 7 and CleavedPARP levels in SpiD7-treated OVCAR5 cells when compared with FT282C11 cells (Fig. 3E, lanes 3 versus 6). We also compared SpiD7 and the classical UPR activator Tg for induction of apoptosis in normal and cancer cells (Fig. S2). Unlike Tg, SpiD7-mediated PARP cleavage is approximately 2.7-fold higher in OVCAR5 cells as compared with FT282C11 cells.
RNA-Seq analyses indicate that SpiD7 activates UPR
To further assess if SpiD7 activates UPR, OVCAR5 cells were treated with SpiD7 and incubated for 2, 6, and 12 h. RNA isolated from these samples was sequenced by the University of Nebraska Medical Center (UNMC) sequencing core. Representative volcano plot describing differential RNA expression between vehicle-treated and SpiD7-treated cancer cells for 2 h is shown in Figure 4A (please see Fig. S3 for the volcano plot for the 6 and 12 time points). A greater than two-fold gene expression change was observed in >113 genes at a false discovery of rate <0.05. Gene set enrichment analysis showed a time-dependent increase in the normalized enrichment scores for the hallmark UPR gene set (Fig. 4B, 6 h treatment and Fig. S3 for the 2 and 12 h treatment). Euclidean cluster analysis greater than twofold change for the Gene Oontology ER stress and hallmark UPR gene set for 2, 6, and 12 h treatment is summarized in Figure 4C and Fig. S4, respectively. A time-dependent increase in the expression for majority of genes (ATF3, HERPUD1, CHAC1, DNAJC3, WIPI1, CEBPB, DDIT4, ERN1, eukaryotic translation initiation factor 2 alpha kinase 3 [EIF2AK3], ATF4, DNAJB9, XBP1, heat shock protein family A member 5 [HSPA5], and TSPYL2) in the Gene Ontology ER stress and the hallmark UPR gene set was observed demonstrating induction of UPR. Of note, overexpression of genes CHAC1, ATF3, ATF4, and EIF2AK3 are associated with proapoptotic effects mediated by the PERK/ATF4/CHOP signaling pathway. Western blot analyses with lysates of the time-course study done in parallel revealed a time-dependent increase of BiP (GRP78) and pS51-eIF2α in SpiD7-treated cells (Fig. 4D). The time-dependent increase in CHOP and PARP cleavage suggests inability of the cancer cells to overcome the SpiD7-induced covalent modification of proteins (Fig. 4D).
Figure 4.
RNA-Seq analyses with samples derived from cancer cells (OVCAR5) treated with SpiD7 (10 μM) for 2, 6, and 12 h.A, representative volcano plot showing the differential RNA expression between the 2 h vehicle and SpiD7 treatment against p value (≤0.05 and twofold change is highlighted in red and green). B, representative gene set enrichment analysis for the hallmark UPR gene set for 6 h, SpiD7-treated cells (FDR ≤ 0.05). C, heat map showing twofold change of the GO ER stress gene set for the 2, 6, and 12 h, SpiD7-treated cells. D, Western blot analyses of lysates derived from cancer cells (OVCAR5) treated with SpiD7 (10 μM) for 2, 6, and 12 h probed for key proteins that indicated UPR activation. Blots shown are representative examples of at least a biological replicate. ER, endoplasmic reticulum; FDR, false discovery rate; GO, Gene Ontology; UPR, unfolded protein response.
Efficacy studies with SpiD7
Next, to determine the relative potency of the SpiD7 and 19 to inhibit growth of HGSC cell lines (47, 48), we subjected them to a 3-day cell growth assay. Among the cell lines (Kuramochi, OVCAR4, SNU-119, OVSAHO, CaOV3, and OVCAR8), the most sensitive cell line was OVCAR8, and SpiD7 was 14.4-fold more potent than 19, and the least sensitive cell line was Kuramochi. On an average, SpiD7 was approximately sixfold more potent than 19 in inhibiting HGSC cell growth. SpiD7 was approximately 3- to 15-fold more potent in inhibiting the growth of HGSC cells over FT282C11 cells (Fig. 5A). To assess the ability of SpiD7 to inhibit colony formation, OVCAR8 and CaOV3 cells were subjected to 7- and 14-day clonogenic assay, respectively (Fig. 5B). Briefly, single-cell suspension of ∼103 HGSC cells was incubated with SpiD7, colonies allowed to form for 7 or 14 days, stained with crystal violet, and colonies containing over 50 cells were manually counted. SpiD7 reduced clonogenic growth and survival of HGSC cells (OVCAR8 and CaOV3), which is consistent with reported studies that showed reduction in colony formation upon UPR induction (49, 50). The activation of caspases, a class of cysteine proteinases, is routinely used by us and others as indicators for the induction of apoptosis (40, 51, 52, 53, 54, 55, 56). The results show that SpiD7 activates effector caspases 3/7 in HGSC cell lines (CaOV3, OVCAR8, and Kuramochi) (Fig. 5C).
Figure 5.
Efficacy studies with SpiD7 in HGSC cell lines.A, growth inhibition (3 days) assay with monomer 19 and dimer SpiD7 in a panel of HGSC cell lines (n = 3, average ± SD). B, clonogenic survival studies with dimer SpiD7 in HGSC cell lines. The bar graph represents quantification of the number of colonies with more than 50 cells (n = 3, average ± SD, p value two-tailed t test). C, under multiplexing conditions, HGSC cell lines were incubated with SpiD7 for 24 h and caspase 3/7 activity assessed (n = 2). HGSC, high-grade serous carcinoma.
Discussion
Here, we demonstrate that covalent modification of SEC residues induces UPR activation resulting in cancer cell death. In a previous study, we found that an isatin-derived spirocyclic core with an α-methylene-γ-butyrolactone moiety (analog 19) inhibits NF-κB pathway by covalently binding to cysteine residues on RELA and IKKβ. Proteome-wide profiling of analog 19 targets using a click-pull down-MS study showed that analog 19 covalently modifies >330 proteins with high confidence. We also found that the modified proteins included those involved in key ER functions such as protein folding and cellular response to stress, thus indicating that 19 could be modulating the UPR.
We used TPE-MI to show elevated levels of SECs in cancer cells when compared with nontransformed immortalized cells indicating the presence of higher levels of unfolded proteins. This suggests that covalent modification of SECs will simulate the presence of misfolded proteins and disproportionately affect the cancer cells. Cells treated with UPR activator tunicamycin, which irreversibly binds to UDP-N-acetylglucosamine–dolichyl-phosphate N-acetylglucosamine-1-phosphate transferase, exhibit accumulation of unfolded/misfolded proteins in the ER and UPR activation (57). Treatment with lower dosage or shorter time results in adaptation or a lag period, whereas higher dosage and longer incubation times results in cell cycle arrest and eventually apoptosis by robust upregulation of CHOP and Gadd34 (58, 59).
Since 19 covalently modifies >330 proteins, we hypothesized that dimers that can covalently modify more than one sulfhydryl group and as a consequence simulate increased levels of misfolded proteins will activate UPR. The limited structure–activity relationship study with 19, SpiD7, SpiD12, SpiD7-A, SpiD7-R, and SpiD7-C, identified structural element of SpiD7, such as linker length, the spirocyclic core, and the Michael acceptor, is required for activation of UPR. We recently showed that SpiD7 covalently modifies RELA to generate stable high molecular weight species (41). A logical extension is that SpiD7 simulates the presence of misfolded proteins to activate UPR. A comparison of SpiD7 activity in cancer cells (OVCAR5) versus normal cells (FT282C11) shows selective activation of IRE1 pathway in FT282C11 cells, indicating adaptation. It is important to note that when compared with FT282C11 cells, the basal XBP1 levels in OVCAR5 are elevated, which is probably required to handle the sustained cell intrinsic stress. This suggests that the IRE1 pathway in OVCAR5 cells is operating at maximal efficiency in its resting state. Activation of the PERK and ATF6 arms of the UPR pathway was observed in both OVCAR5 and FT282C11 cell lines. Analyses of time-course RNA-Seq datasets of OVCAR5 cells treated with SpiD7 identified 136 and 31 genes with p value <0.05 that were fourfold up and fourfold down, respectively, and exhibited a time-dependent increase or decrease (Table S3). Among the most differentially regulated genes, 99 mapped to an entity in reactome. Several stress response pathways including UPR activation were featured in the 20 most significant pathways that were perturbed by SpiD7 (Table S4).
In SV40-transformed mouse fibroblast, tunicamycin treatment selectively induced apoptosis in the transformed fibroblast by increasing the intracellular Ca2+ and accumulation of unglycosylated proteins in the ER (60). This is consistent with our observation of robust increase in cleaved-PARP and cleaved-caspase 7 levels in OVCAR5 cells treated with SpiD7 but not in FT282C11 cells. This suggests that IRE1 activation and robust XBP1 splicing observed in FT282C11 cells counteracts SpiD7-induced stress to block UPR-mediated apoptosis. Whereas in the cancer cells, the IRE1 pathway is activated in its resting state; therefore, there was no additional increase in XBP1 splicing upon SpiD7 treatment. XBP1 splicing is known to mitigate the ER stress in secretory B cells in multiple myeloma and triple-negative breast cancer cells to facilitate growth and survival (61, 62). This is similar to what we see in our study with FT282C11 cells wherein covalent modification of proteins by SpiD7 induces ER stress resulting in robust XBP1 splicing. Since IRE1 pathway is activated in resting OVCAR5 cells, the adaption threshold is breached upon SpiD7 treatment to activate programmed cell death. On the other hand, analog 19 did not induce the activation of UPR, indicating that at equimolar concentrations, dimer SpiD7–induced covalent modification of proteins is more effective in inducing UPR activation.
The time-course study with SpiD7 showed elevated levels of ER chaperone BiP as well as increase in p-eIF2α indicating activation of PERK, along with increased CHOP and cleaved-PARP protein levels. These observations are consistent with the RNA-Seq data that showed increased HSPA5 (BiP), EIF2AK3 (PERK), and DNA damage–inducible transcript 3 (DDIT3) (CHOP) levels. Previous studies with Tg, which is known to covalently modify the sarcoendoplasmic reticulum calcium transport ATPase pump, showed that disruption of the cellular Ca2+ homeostasis results in the induction of apoptosis by sustained elevation of ATF4, CHOP, and BiP followed by a gradual increase in cleaved PARP levels (63). Although SpiD7 and Tg activate UPR, our head-to-head comparison study of SpiD7 and Tg in normal versus cancer cells suggests that the mechanism associated with UPR activation plays a critical role in selectively inducing apoptosis in cancer cells. Growth inhibition studies showed that SpiD7 is approximately sixfold more potent inhibiting the growth of HGSC cell lines when compared with 19. Moreover, depending on the HGSC cell lines, SpiD7 exhibited ∼3-fold to 15-fold selectivity in inhibiting the growth of HGSC cell line over FT282C11. Since SpiD7 also perturbs the NF-κB pathway, the observed inhibition of growth and induction of apoptosis is not exclusively because of UPR activation. Our studies provide critical proof of concept for a novel therapeutic modality; we recognize that additional studies with other dimers that have head groups that can covalently modify SECs are required to validate this strategy. In conclusion, our studies show that small molecules that possess the ability to covalently modify multiple SECs in protein complexes can selectively induce apoptosis in cancer cells by UPR activation.
Experimental procedures
Cell lines
Nontransformed human telomerase reverse transcriptase–immortalized human fallopian tube epithelial cells FT282C11 and human cancer cell lines MiaPaCa2, OVCAR5, OVCAR8, and CaOV3 were cultured in Dulbecco's modified Eagle's medium with high glucose (catalog no.: SH30022; Hyclone) with 10% fetal bovine serum (catalog no.: 26140079; Life Technologies) and 1% penicillin–streptomycin (catalog no.: 16777-164; Hyclone). Human cancer cell lines Kuramochi, SNU-119, and OVSAHO were cultured in RPMI1640 (catalog no.: SH30027; Hyclone) with 10% fetal bovine serum and 1% penicillin–streptomycin.
Cell lysis and Western blot
Cell lysis and Western blot analyses were done following reported methods (52, 54, 55, 64, 65).
Antibodies
ATF6 (CST; catalog no.: 65880), α-tubulin (CST; catalog no.: 3873), Cl-PARP (CST; catalog no.: 9541), PARP (CST; catalog no.: 9542), XBP1 (Abcam; catalog no.: Ab198999), pS51-eIF2α (CST; catalog no.: 3398), eIF2α (CST; catalog no.: 5324), Cl-Caspase-7 (CST; catalog no.: 8438), Bip (CST; catalog no.: 3177), PERK (CST; catalog no.: 5683), CHOP (CST; catalog no.: 2895), Caspase 7 (CST; catalog no.: 9492S), Caspase 9 (CST; catalog no.: 9502S), and XBP1 (Invitrogen; catalog no.: PA5-27650).
RNA extraction and RNA-Seq analyses
OVCAR5 cells were seeded at a density of 2 × 106 cells in 100 mm dishes and allowed to adhere overnight. The cells were treated with 10 μM of SpiD7 for 2, 6, and 12 h. The cells were washed with PBS post-treatment and incubated for 5 min at room temperature on shaker with 2 ml of Trizol (catalog no.: 15596018; Invitrogen). The samples were harvested and collected in microfuge tubes (1 ml per 2 ml tube). RNA purification steps were performed using the Direct-zol Miniprep Plus kit (catalog no.: #R2070; Zymo Research) according to the manufacturer’s protocol.
RNA-Seq of the samples was performed at the UNMC Genomics Core Facility following reported method (66) using two lanes of the HiSeq 2500 DNA Analyzer (Illumina) to generate a total of approximately 20 to 25 million 50 bp single reads for each sample. The quality of the sequencing was continually monitored with a Q30 score. Following sequencing, the samples were demultiplexed to produce FASTQ files. The resulting sequence files were processed by the UNMC Epigenomics core facility. Adaptor sequences and low-quality (Phred score: 20) ends were trimmed using the Trim Galore software package (http://www.bioinformatics.babraham.ac.uk/projects/trim_galore/). The resulting FASTQ files were aligned to the human genome (GRCm38/mm10) using the software TopHat (version 2.0.8) (http://ccb.jhu.edu/sofware/tophat/index.shtml). The software Cufflinks (version 2.1.1) (http://cole-trapnell-lab.github.io/cufflinks/) was used to estimate the expression values, and Cuffdiff (version 2.1.1; cufflinks) was used to determine the differential expression.
Colony formation assay
Colony formation assay was done following reported methods (67). Briefly, single-cell suspension of OVCAR8 and Caov3 cells was seeded in 6-well dishes at a density of 1000 cells per well in triplicates. After overnight incubation, cells were treated with different concentrations of SpiD7 and allowed to form colonies for 7 or 14 days. After incubation, cells were fixed with methanol, stained with 0.5% crystal violet in PBS, rinsed with water, and air dried overnight. Colonies containing >50 cells were counted using inverted light microscope manually.
Growth inhibition and caspase 3/7 assays
Growth inhibition and caspase 3/7 assay was done following reported methods (46, 51, 53, 54, 55, 68, 69, 70, 71).
Statistical methods
The mean ± SD of biological replicates was used to generate the graphs, and statistical analyses were performed using two-tailed Student’s t test.
Data availability
All data generated and analyzed in this study are included in the article or can be obtained from the authors upon reasonable request. The MS proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE (72) partner repository with the dataset identifier PXD029783 and 10.6019/PXD029783. All FASTQ files were deposited in the Gene Expression Omnibus database under accession number GSE190368. Please direct all requests to Amarnath Natarajan (anatarajan@unmc.edu).
Supporting information
This article contains supporting information (40, 41, 73, 74, 75).
Conflict of interest
A. N. and S.R. are listed as inventors on US patent 11,104,684. All other authors declare that they have no conflicts of interest with the contents of this article.
Acknowledgments
We thank Drs Yuning Hong and Danny M. Hatters for an aliquot of TPE-MI dye. This work was supported in part by the National Institutes of Health grants (grant nos.: CA197999, CA251151, CA260749, and CA036727) and Fred & Pamela Buffett Cancer Center pilot grants.
Author contributions
Smit Kour, S. R., and A. N. conceptualization; Smit Kour, S. R., Smitha Kizhake, A. R. K., N. T. W., and A. N. formal analysis; Smit Kour, S. R., S. P. K., Smitha Kizhake, M. A., C. M.-T., D. K., S. S., J. R. M., and S. C. investigation; Smit Kour, S. R., and A. N. writing–original draft; Smit Kour, S. R., S. P. K., Smitha Kizhake, M. A., C. M.-T., D. K., S. S., J. R. M., S. C., N. T. W., A. R. K., and A. N. writing–review & editing.
Funding and additional information
Smit Kour was supported by UNMC fellowship. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Edited by Ronald Wek
Supporting information
References
- 1.Gonzalez-Teuber V., Albert-Gasco H., Auyeung V.C., Papa F.R., Mallucci G.R., Hetz C. Small molecules to improve ER proteostasis in disease. Trends Pharmacol. Sci. 2019;40:684–695. doi: 10.1016/j.tips.2019.07.003. [DOI] [PubMed] [Google Scholar]
- 2.Cubillos-Ruiz J.R., Bettigole S.E., Glimcher L.H. Tumorigenic and immunosuppressive effects of endoplasmic reticulum stress in cancer. Cell. 2017;168:692–706. doi: 10.1016/j.cell.2016.12.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Urra H., Dufey E., Avril T., Chevet E., Hetz C. Endoplasmic reticulum stress and the hallmarks of cancer. Trends Cancer. 2016;2:252–262. doi: 10.1016/j.trecan.2016.03.007. [DOI] [PubMed] [Google Scholar]
- 4.Tameire F., Verginadis I.I., Koumenis C. Cell intrinsic and extrinsic activators of the unfolded protein response in cancer: Mechanisms and targets for therapy. Semin. Cancer Biol. 2015;33:3–15. doi: 10.1016/j.semcancer.2015.04.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Garg A.D., Maes H., van Vliet A.R., Agostinis P. Targeting the hallmarks of cancer with therapy-induced endoplasmic reticulum (ER) stress. Mol. Cell. Oncol. 2015;2 doi: 10.4161/23723556.2014.975089. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Hetz C., Chevet E., Harding H.P. Targeting the unfolded protein response in disease. Nat. Rev. Drug Discov. 2013;12:703–719. doi: 10.1038/nrd3976. [DOI] [PubMed] [Google Scholar]
- 7.Vitale M., Bakunts A., Orsi A., Lari F., Tade L., Danieli A., Rato C., Valetti C., Sitia R., Raimondi A., Christianson J.C., van Anken E. Inadequate BiP availability defines endoplasmic reticulum stress. Elife. 2019;8 doi: 10.7554/eLife.41168. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Samanta S., Tamura S., Dubeau L., Mhawech-Fauceglia P., Miyagi Y., Kato H., Lieberman R., Buckanovich R.J., Lin Y.G., Neamati N. Clinicopathological significance of endoplasmic reticulum stress proteins in ovarian carcinoma. Sci. Rep. 2020;10:2160. doi: 10.1038/s41598-020-59116-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Wang Y., Shen J., Arenzana N., Tirasophon W., Kaufman R.J., Prywes R. Activation of ATF6 and an ATF6 DNA binding site by the endoplasmic reticulum stress response. J. Biol. Chem. 2000;275:27013–27020. doi: 10.1074/jbc.M003322200. [DOI] [PubMed] [Google Scholar]
- 10.Chen X., Shen J., Prywes R. The luminal domain of ATF6 senses endoplasmic reticulum (ER) stress and causes translocation of ATF6 from the ER to the Golgi. J. Biol. Chem. 2002;277:13045–13052. doi: 10.1074/jbc.M110636200. [DOI] [PubMed] [Google Scholar]
- 11.Haze K., Yoshida H., Yanagi H., Yura T., Mori K. Mammalian transcription factor ATF6 is synthesized as a transmembrane protein and activated by proteolysis in response to endoplasmic reticulum stress. Mol. Biol. Cell. 1999;10:3787–3799. doi: 10.1091/mbc.10.11.3787. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Korennykh A., Walter P. Structural basis of the unfolded protein response. Annu. Rev. Cell Dev. Biol. 2012;28:251–277. doi: 10.1146/annurev-cellbio-101011-155826. [DOI] [PubMed] [Google Scholar]
- 13.Chui M.H., Doodnauth S.A., Erdmann N., Tiedemann R.E., Sircoulomb F., Drapkin R., Shaw P., Rottapel R. Chromosomal instability and mTORC1 activation through PTEN loss contribute to proteotoxic stress in ovarian carcinoma. Cancer Res. 2019;79:5536–5549. doi: 10.1158/0008-5472.CAN-18-3029. [DOI] [PubMed] [Google Scholar]
- 14.Koumenis C., Naczki C., Koritzinsky M., Rastani S., Diehl A., Sonenberg N., Koromilas A., Wouters B.G. Regulation of protein synthesis by hypoxia via activation of the endoplasmic reticulum kinase PERK and phosphorylation of the translation initiation factor eIF2alpha. Mol. Cell. Biol. 2002;22:7405–7416. doi: 10.1128/MCB.22.21.7405-7416.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Shen X., Ellis R.E., Lee K., Liu C.Y., Yang K., Solomon A., Yoshida H., Morimoto R., Kurnit D.M., Mori K., Kaufman R.J. Complementary signaling pathways regulate the unfolded protein response and are required for C. elegans development. Cell. 2001;107:893–903. doi: 10.1016/s0092-8674(01)00612-2. [DOI] [PubMed] [Google Scholar]
- 16.Yoshida H., Matsui T., Yamamoto A., Okada T., Mori K. XBP1 mRNA is induced by ATF6 and spliced by IRE1 in response to ER stress to produce a highly active transcription factor. Cell. 2001;107:881–891. doi: 10.1016/s0092-8674(01)00611-0. [DOI] [PubMed] [Google Scholar]
- 17.Calfon M., Zeng H., Urano F., Till J.H., Hubbard S.R., Harding H.P., Clark S.G., Ron D. IRE1 couples endoplasmic reticulum load to secretory capacity by processing the XBP-1 mRNA. Nature. 2002;415:92–96. doi: 10.1038/415092a. [DOI] [PubMed] [Google Scholar]
- 18.Yamamoto K., Suzuki N., Wada T., Okada T., Yoshida H., Kaufman R.J., Mori K. Human HRD1 promoter carries a functional unfolded protein response element to which XBP1 but not ATF6 directly binds. J. Biochem. 2008;144:477–486. doi: 10.1093/jb/mvn091. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Grandjean J.M.D., Wiseman R.L. Small molecule strategies to harness the unfolded protein response: Where do we go from here? J. Biol. Chem. 2020;295:15692–15711. doi: 10.1074/jbc.REV120.010218. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Lee A.S. GRP78 induction in cancer: Therapeutic and prognostic implications. Cancer Res. 2007;67:3496–3499. doi: 10.1158/0008-5472.CAN-07-0325. [DOI] [PubMed] [Google Scholar]
- 21.Samanta S., Yang S., Debnath B., Xue D., Kuang Y., Ramkumar K., Lee A.S., Ljungman M., Neamati N. The hydroxyquinoline analogue YUM70 inhibits GRP78 to induce ER stress-mediated apoptosis in pancreatic cancer. Cancer Res. 2021;81:1883–1895. doi: 10.1158/0008-5472.CAN-20-1540. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Logue S.E., McGrath E.P., Cleary P., Greene S., Mnich K., Almanza A., Chevet E., Dwyer R.M., Oommen A., Legembre P., Godey F., Madden E.C., Leuzzi B., Obacz J., Zeng Q., et al. Inhibition of IRE1 RNase activity modulates the tumor cell secretome and enhances response to chemotherapy. Nat. Commun. 2018;9:3267. doi: 10.1038/s41467-018-05763-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Sheng X., Nenseth H.Z., Qu S., Kuzu O.F., Frahnow T., Simon L., Greene S., Zeng Q., Fazli L., Rennie P.S., Mills I.G., Danielsen H., Theis F., Patterson J.B., Jin Y., et al. IRE1alpha-XBP1s pathway promotes prostate cancer by activating c-MYC signaling. Nat. Commun. 2019;10:323. doi: 10.1038/s41467-018-08152-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Bi M., Naczki C., Koritzinsky M., Fels D., Blais J., Hu N., Harding H., Novoa I., Varia M., Raleigh J., Scheuner D., Kaufman R.J., Bell J., Ron D., Wouters B.G., et al. ER stress-regulated translation increases tolerance to extreme hypoxia and promotes tumor growth. EMBO J. 2005;24:3470–3481. doi: 10.1038/sj.emboj.7600777. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Axten J.M., Romeril S.P., Shu A., Ralph J., Medina J.R., Feng Y., Li W.H., Grant S.W., Heerding D.A., Minthorn E., Mencken T., Gaul N., Goetz A., Stanley T., Hassell A.M., et al. Discovery of GSK2656157: An optimized PERK inhibitor selected for preclinical development. ACS Med. Chem. Lett. 2013;4:964–968. doi: 10.1021/ml400228e. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Gao Y., Sartori D.J., Li C., Yu Q.C., Kushner J.A., Simon M.C., Diehl J.A. PERK is required in the adult pancreas and is essential for maintenance of glucose homeostasis. Mol. Cell. Biol. 2012;32:5129–5139. doi: 10.1128/MCB.01009-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Axten J.M., Medina J.R., Feng Y., Shu A., Romeril S.P., Grant S.W., Li W.H., Heerding D.A., Minthorn E., Mencken T., Atkins C., Liu Q., Rabindran S., Kumar R., Hong X., et al. Discovery of 7-methyl-5-(1-{[3-(trifluoromethyl)phenyl]acetyl}-2,3-dihydro-1H-indol-5-yl)-7H-p yrrolo[2,3-d]pyrimidin-4-amine (GSK2606414), a potent and selective first-in-class inhibitor of protein kinase R (PKR)-like endoplasmic reticulum kinase (PERK) J. Med. Chem. 2012;55:7193–7207. doi: 10.1021/jm300713s. [DOI] [PubMed] [Google Scholar]
- 28.Yefidoff-Freedman R., Fan J., Yan L., Zhang Q., Dos Santos G.R.R., Rana S., Contreras J.I., Sahoo R., Wan D., Young J., Dias Teixeira K.L., Morisseau C., Halperin J., Hammock B., Natarajan A., et al. Development of 1-((1,4-trans)-4-Aryloxycyclohexyl)-3-arylurea activators of heme-regulated inhibitor as selective activators of the eukaryotic initiation factor 2 alpha (eIF2alpha) phosphorylation arm of the integrated endoplasmic reticulum stress response. J. Med. Chem. 2017;60:5392–5406. doi: 10.1021/acs.jmedchem.7b00059. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Paxman R., Plate L., Blackwood E.A., Glembotski C., Powers E.T., Wiseman R.L., Kelly J.W. Pharmacologic ATF6 activating compounds are metabolically activated to selectively modify endoplasmic reticulum proteins. Elife. 2018;7 doi: 10.7554/eLife.37168. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Neklesa T.K., Tae H.S., Schneekloth A.R., Stulberg M.J., Corson T.W., Sundberg T.B., Raina K., Holley S.A., Crews C.M. Small-molecule hydrophobic tagging-induced degradation of HaloTag fusion proteins. Nat. Chem. Biol. 2011;7:538–543. doi: 10.1038/nchembio.597. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Long M.J., Gollapalli D.R., Hedstrom L. Inhibitor mediated protein degradation. Chem. Biol. 2012;19:629–637. doi: 10.1016/j.chembiol.2012.04.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Tae H.S., Sundberg T.B., Neklesa T.K., Noblin D.J., Gustafson J.L., Roth A.G., Raina K., Crews C.M. Identification of hydrophobic tags for the degradation of stabilized proteins. Chembiochem. 2012;13:538–541. doi: 10.1002/cbic.201100793. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Gustafson J.L., Neklesa T.K., Cox C.S., Roth A.G., Buckley D.L., Tae H.S., Sundberg T.B., Stagg D.B., Hines J., McDonnell D.P., Norris J.D., Crews C.M. Small-molecule-mediated degradation of the androgen receptor through hydrophobic tagging. Angew. Chem. Int. Ed. Engl. 2015;54:9659–9662. doi: 10.1002/anie.201503720. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Lim S.M., Xie T., Westover K.D., Ficarro S.B., Tae H.S., Gurbani D., Sim T., Marto J.A., Janne P.A., Crews C.M., Gray N.S. Development of small molecules targeting the pseudokinase Her3. Bioorg. Med. Chem. Lett. 2015;25:3382–3389. doi: 10.1016/j.bmcl.2015.04.103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Shi Y., Long M.J., Rosenberg M.M., Li S., Kobjack A., Lessans P., Coffey R.T., Hedstrom L. Boc3Arg-linked ligands induce degradation by localizing target proteins to the 20S proteasome. ACS Chem. Biol. 2016;11:3328–3337. doi: 10.1021/acschembio.6b00656. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Cromm P.M., Crews C.M. Targeted protein degradation: From chemical biology to drug discovery. Cell Chem. Biol. 2017;24:1181–1190. doi: 10.1016/j.chembiol.2017.05.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Rubner S., Scharow A., Schubert S., Berg T. Selective degradation of polo-like kinase 1 by a hydrophobically tagged inhibitor of the polo-box domain. Angew. Chem. Int. Ed. Engl. 2018;57:17043–17047. doi: 10.1002/anie.201809640. [DOI] [PubMed] [Google Scholar]
- 38.Nietzold F., Rubner S., Berg T. The hydrophobically-tagged MDM2-p53 interaction inhibitor Nutlin-3a-HT is more potent against tumor cells than Nutlin-3a. Chem. Commun. (Camb.) 2019;55:14351–14354. doi: 10.1039/c9cc07795b. [DOI] [PubMed] [Google Scholar]
- 39.Rana S., Natarajan A. Face selective reduction of the exocyclic double bond in isatin derived spirocyclic lactones. Org. Biomol. Chem. 2013;11:244–247. doi: 10.1039/c2ob27008k. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Rana S., Blowers E.C., Tebbe C., Contreras J.I., Radhakrishnan P., Kizhake S., Zhou T., Rajule R.N., Arnst J.L., Munkarah A.R., Rattan R., Natarajan A. Isatin derived spirocyclic analogues with alpha-methylene-gamma-butyrolactone as anticancer agents: A structure-activity relationship study. J. Med. Chem. 2016;59:5121–5127. doi: 10.1021/acs.jmedchem.6b00400. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Kour S., Rana S., Kizhake S., Lagundzin D., Klinkebiel D., Mallareddy J.R., Huxford T., Woods N.T., Natarajan A. Stapling proteins in the RELA complex inhibits TNFalpha-induced nuclear translocation of RELA. RSC Chem. Biol. 2022;3:32–36. doi: 10.1039/d1cb00183c. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Sprenger J., Lynn Fink J., Karunaratne S., Hanson K., Hamilton N.A., Teasdale R.D. LOCATE: A mammalian protein subcellular localization database. Nucleic Acids Res. 2008;36:D230–D233. doi: 10.1093/nar/gkm950. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Zhang S., Liu M., Tan L.Y.F., Hong Q., Pow Z.L., Owyong T.C., Ding S., Wong W.W.H., Hong Y. A maleimide-functionalized tetraphenylethene for measuring and imaging unfolded proteins in cells. Chem. Asian J. 2019;14:904–909. doi: 10.1002/asia.201900150. [DOI] [PubMed] [Google Scholar]
- 44.Chen M.Z., Moily N.S., Bridgford J.L., Wood R.J., Radwan M., Smith T.A., Song Z., Tang B.Z., Tilley L., Xu X., Reid G.E., Pouladi M.A., Hong Y., Hatters D.M. A thiol probe for measuring unfolded protein load and proteostasis in cells. Nat. Commun. 2017;8:474. doi: 10.1038/s41467-017-00203-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Barger C.J., Zhang W., Sharma A., Chee L., James S.R., Kufel C.N., Miller A., Meza J., Drapkin R., Odunsi K., Klinkebiel D., Karpf A.R. Expression of the POTE gene family in human ovarian cancer. Sci. Rep. 2018;8:17136. doi: 10.1038/s41598-018-35567-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Rana S., Kour S., Sonawane Y.A., Robb C.M., Contreras J.I., Kizhake S., Zahid M., Karpf A.R., Natarajan A. Symbiotic prodrugs (SymProDs) dual targeting of NFkappaB and CDK. Chem. Biol. Drug Des. 2020;96:773–784. doi: 10.1111/cbdd.13684. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Domcke S., Sinha R., Levine D.A., Sander C., Schultz N. Evaluating cell lines as tumour models by comparison of genomic profiles. Nat. Commun. 2013;4:2126. doi: 10.1038/ncomms3126. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Beaufort C.M., Helmijr J.C., Piskorz A.M., Hoogstraat M., Ruigrok-Ritstier K., Besselink N., Murtaza M., van IJcken W.F., Heine A.A., Smid M., Koudijs M.J., Brenton J.D., Berns E.M., Helleman J. Ovarian cancer cell line panel (OCCP): Clinical importance of in vitro morphological subtypes. PLoS One. 2014;9 doi: 10.1371/journal.pone.0103988. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Liu Y., Ji W., Shergalis A., Xu J., Delaney A.M., Calcaterra A., Pal A., Ljungman M., Neamati N., Rehemtulla A. Activation of the unfolded protein response via inhibition of protein disulfide isomerase decreases the capacity for DNA repair to sensitize glioblastoma to radiotherapy. Cancer Res. 2019;79:2923–2932. doi: 10.1158/0008-5472.CAN-18-2540. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Gil H.N., Koh D., Lim Y., Lee Y.H., Shin S.Y. The synthetic chalcone derivative 2-hydroxy-3',5,5'-trimethoxychalcone induces unfolded protein response-mediated apoptosis in A549 lung cancer cells. Bioorg. Med. Chem. Lett. 2018;28:2969–2975. doi: 10.1016/j.bmcl.2018.07.003. [DOI] [PubMed] [Google Scholar]
- 51.Chen Q., Bryant V.C., Lopez H., Kelly D.L., Luo X., Natarajan A. 2,3-Substituted quinoxalin-6-amine analogs as antiproliferatives: A structure-activity relationship study. Bioorg. Med. Chem. Lett. 2011;21:1929–1932. doi: 10.1016/j.bmcl.2011.02.055. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Robb C.M., Kour S., Contreras J.I., Agarwal E., Barger C.J., Rana S., Sonawane Y., Neilsen B.K., Taylor M., Kizhake S., Thakare R.N., Chowdhury S., Wang J., Black J.D., Hollingsworth M.A., et al. Characterization of CDK(5) inhibitor, 20-223 (aka CP668863) for colorectal cancer therapy. Oncotarget. 2018;9:5216–5232. doi: 10.18632/oncotarget.23749. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Bryant V.C., Kishore Kumar G.D., Nyong A.M., Natarajan A. Synthesis and evaluation of macrocyclic diarylether heptanoid natural products and their analogs. Bioorg. Med. Chem. Lett. 2012;22:245–248. doi: 10.1016/j.bmcl.2011.11.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Contreras J.I., Robb C.M., King H.M., Baxter J., Crawford A.J., Kour S., Kizhake S., Sonawane Y.A., Rana S., Hollingsworth M.A., Luo X., Natarajan A. Chemical genetic screens identify kinase inhibitor combinations that target anti-apoptotic proteins for cancer therapy. ACS Chem. Biol. 2018;13:1148–1152. doi: 10.1021/acschembio.8b00077. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Kour S., Rana S., Contreras J.I., King H.M., Robb C.M., Sonawane Y.A., Bendjennat M., Crawford A.J., Barger C.J., Kizhake S., Luo X., Hollingsworth M.A., Natarajan A. CDK5 inhibitor downregulates Mcl-1 and sensitizes pancreatic cancer cell lines to navitoclax. Mol. Pharmacol. 2019;96:419–429. doi: 10.1124/mol.119.116855. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Smolewski P., Grabarek J., Halicka H.D., Darzynkiewicz Z. Assay of caspase activation in situ combined with probing plasma membrane integrity to detect three distinct stages of apoptosis. J. Immunol. Methods. 2002;265:111–121. doi: 10.1016/s0022-1759(02)00074-1. [DOI] [PubMed] [Google Scholar]
- 57.Oslowski C.M., Urano F. Measuring ER stress and the unfolded protein response using mammalian tissue culture system. Methods Enzymol. 2011;490:71–92. doi: 10.1016/B978-0-12-385114-7.00004-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Zinszner H., Kuroda M., Wang X., Batchvarova N., Lightfoot R.T., Remotti H., Stevens J.L., Ron D. CHOP is implicated in programmed cell death in response to impaired function of the endoplasmic reticulum. Genes Dev. 1998;12:982–995. doi: 10.1101/gad.12.7.982. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Rutkowski D.T., Arnold S.M., Miller C.N., Wu J., Li J., Gunnison K.M., Mori K., Sadighi Akha A.A., Raden D., Kaufman R.J. Adaptation to ER stress is mediated by differential stabilities of pro-survival and pro-apoptotic mRNAs and proteins. PLoS Biol. 2006;4 doi: 10.1371/journal.pbio.0040374. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Carlberg M., Dricu A., Blegen H., Kass G.E., Orrenius S., Larsson O. Short exposures to tunicamycin induce apoptosis in SV40-transformed but not in normal human fibroblasts. Carcinogenesis. 1996;17:2589–2596. doi: 10.1093/carcin/17.12.2589. [DOI] [PubMed] [Google Scholar]
- 61.Chen X., Iliopoulos D., Zhang Q., Tang Q., Greenblatt M.B., Hatziapostolou M., Lim E., Tam W.L., Ni M., Chen Y., Mai J., Shen H., Hu D.Z., Adoro S., Hu B., et al. XBP1 promotes triple-negative breast cancer by controlling the HIF1alpha pathway. Nature. 2014;508:103–107. doi: 10.1038/nature13119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Mimura N., Fulciniti M., Gorgun G., Tai Y.T., Cirstea D., Santo L., Hu Y., Fabre C., Minami J., Ohguchi H., Kiziltepe T., Ikeda H., Kawano Y., French M., Blumenthal M., et al. Blockade of XBP1 splicing by inhibition of IRE1alpha is a promising therapeutic option in multiple myeloma. Blood. 2012;119:5772–5781. doi: 10.1182/blood-2011-07-366633. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Sehgal P., Szalai P., Olesen C., Praetorius H.A., Nissen P., Christensen S.B., Engedal N., Moller J.V. Inhibition of the sarco/endoplasmic reticulum (ER) Ca(2+)-ATPase by thapsigargin analogs induces cell death via ER Ca(2+) depletion and the unfolded protein response. J. Biol. Chem. 2017;292:19656–19673. doi: 10.1074/jbc.M117.796920. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Rana S., Bendjennat M., Kour S., King H.M., Kizhake S., Zahid M., Natarajan A. Selective degradation of CDK6 by a palbociclib based PROTAC. Bioorg. Med. Chem. Lett. 2019;29:1375–1379. doi: 10.1016/j.bmcl.2019.03.035. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Robb C.M., Contreras J.I., Kour S., Taylor M.A., Abid M., Sonawane Y.A., Zahid M., Murry D.J., Natarajan A., Rana S. Chemically induced degradation of CDK9 by a proteolysis targeting chimera (PROTAC) Chem. Commun. (Camb.) 2017;53:7577–7580. doi: 10.1039/c7cc03879h. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Zhang W., Klinkebiel D., Barger C.J., Pandey S., Guda C., Miller A., Akers S.N., Odunsi K., Karpf A.R. Global DNA hypomethylation in epithelial ovarian cancer: Passive demethylation and association with genomic instability. Cancers (Basel) 2020;12:1–25. doi: 10.3390/cancers12030764. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Barger C.J., Chee L., Albahrani M., Munoz-Trujillo C., Boghean L., Branick C., Odunsi K., Drapkin R., Zou L., Karpf A.R. Co-regulation and function of FOXM1/RHNO1 bidirectional genes in cancer. Elife. 2021;10 doi: 10.7554/eLife.55070. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.King H.M., Rana S., Kubica S.P., Mallareddy J.R., Kizhake S., Ezell E.L., Zahid M., Naldrett M.J., Alvarez S., Law H.C., Woods N.T., Natarajan A. Aminopyrazole based CDK9 PROTAC sensitizes pancreatic cancer cells to venetoclax. Bioorg. Med. Chem. Lett. 2021;43:128061. doi: 10.1016/j.bmcl.2021.128061. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Pessetto Z.Y., Yan Y., Bessho T., Natarajan A. Inhibition of BRCT(BRCA1)-phosphoprotein interaction enhances the cytotoxic effect of olaparib in breast cancer cells: A proof of concept study for synthetic lethal therapeutic option. Breast Cancer Res. Treat. 2012;134:511–517. doi: 10.1007/s10549-012-2079-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Rajule R., Bryant V.C., Lopez H., Luo X., Natarajan A. Perturbing pro-survival proteins using quinoxaline derivatives: A structure-activity relationship study. Bioorg. Med. Chem. 2012;20:2227–2234. doi: 10.1016/j.bmc.2012.02.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Rana S., Sonawane Y.A., Taylor M.A., Kizhake S., Zahid M., Natarajan A. Synthesis of aminopyrazole analogs and their evaluation as CDK inhibitors for cancer therapy. Bioorg. Med. Chem. Lett. 2018;28:3736–3740. doi: 10.1016/j.bmcl.2018.10.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Perez-Riverol Y., Csordas A., Bai J., Bernal-Llinares M., Hewapathirana S., Kundu D.J., Inuganti A., Griss J., Mayer G., Eisenacher M., Perez E., Uszkoreit J., Pfeuffer J., Sachsenberg T., Yilmaz S., et al. The PRIDE database and related tools and resources in 2019: Improving support for quantification data. Nucleic Acids Res. 2019;47:D442–D450. doi: 10.1093/nar/gky1106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Liu Y., Yu Y., Lam J.W., Hong Y., Faisal M., Yuan W.Z., Tang B.Z. Simple biosensor with high selectivity and sensitivity: Thiol-specific biomolecular probing and intracellular imaging by AIE fluorogen on a TLC plate through a thiol-ene click mechanism. Chemistry. 2010;16:8433–8438. doi: 10.1002/chem.200902505. [DOI] [PubMed] [Google Scholar]
- 74.Keller A., Nesvizhskii A.I., Kolker E., Aebersold R. Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search. Anal. Chem. 2002;74:5383–5392. doi: 10.1021/ac025747h. [DOI] [PubMed] [Google Scholar]
- 75.Nesvizhskii A.I., Keller A., Kolker E., Aebersold R. A statistical model for identifying proteins by tandem mass spectrometry. Anal. Chem. 2003;75:4646–4658. doi: 10.1021/ac0341261. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All data generated and analyzed in this study are included in the article or can be obtained from the authors upon reasonable request. The MS proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE (72) partner repository with the dataset identifier PXD029783 and 10.6019/PXD029783. All FASTQ files were deposited in the Gene Expression Omnibus database under accession number GSE190368. Please direct all requests to Amarnath Natarajan (anatarajan@unmc.edu).





