Literature DB >> 32792852

S-Palmitoylation as a Functional Regulator of Proteins Associated with Cisplatin Resistance in Bladder Cancer.

Muhammad Shahid1, Minhyung Kim1, Peng Jin1, Bo Zhou1, Yang Wang1, Wei Yang1,2, Sungyong You1, Jayoung Kim1,2.   

Abstract

Protein S-palmitoylation is a powerful post-translational modification that regulates protein trafficking, localization, turnover, and signal transduction. Palmitoylation controls several important cellular processes, and, if dysregulated, can lead to cancer, cardiovascular disease, and neurological disorders. The role of protein palmitoylation in mediating resistance to systemic cisplatin-based chemotherapies in cancer is currently unknown. This is of particular interest because cisplatin is currently the gold standard of treatment for bladder cancer (BC), and there are no feasible options after resistance is acquired. Using unbiased global proteomic profiling of purified S-palmitoylated peptides combined with intensive bioinformatics analyses, we identified 506 candidate palmitoylated proteins significantly enriched in cisplatin-resistant BC cells. One of these proteins included PD-L1, which is highly palmitoylated in resistant cells. Pharmacological inhibition of fatty acid synthase (FASN) suppressed PD-L1 palmitoylation and expression, which suggests the potential use of FASN-PD-L1-targeted therapeutic strategies in BC patients. Taken together, these results highlight the role of protein palmitoylation in mediating BC chemoresistance. © The author(s).

Entities:  

Keywords:  S‐palmitoylation; lipid; lipidation; post‐translational modification; tumor

Year:  2020        PMID: 32792852      PMCID: PMC7415425          DOI: 10.7150/ijbs.45640

Source DB:  PubMed          Journal:  Int J Biol Sci        ISSN: 1449-2288            Impact factor:   6.580


Introduction

Systemic cisplatin-based chemotherapy is the current gold standard of treatment for metastatic bladder cancer (BC) 1-3. However, acquired chemoresistance is common; thereby, limiting the usage of cisplatin. Patients who acquire chemoresistance ultimately have no further viable treatment options and their cancer usually recurs. The 5-year survival rate for BC after recurrence is approximately 15% 4-6. As of now, there is a lack of comprehensive understanding behind the mechanisms driving cisplatin resistance. Thus, there is an unsolved and urgent need to identify a method of distinguishing which BC patients are at a higher risk of developing chemoresistance. Metabolic reprogramming has been accepted as a hallmark of cancer 7-10. These changes in metabolic activities may also be involved in cisplatin-induced cell death. As a result, metabolic studies on cisplatin resistance may potentially lead to new clues for improving therapies against refractory BC. Several prior metabolomic studies found that BC may have abnormalities in metabolites involved in lipid usage 11,12. It has also been suggested that perturbed metabolism may be implicated in cancer drug-resistance, aggressiveness, or progression 13. Consistent with these earlier findings, our recent study suggested that alterations in acetate and lipid metabolism, which is mediated by acetyl-CoA synthetase 2 (ACSS2), an enzyme that converts acetate to acetyl-CoA, plays a role in cisplatin resistance 14. By performing unbiased data-driven analysis, as described below, our real-time live metabolomics identified metabolic reprogramming in a series of isogenic cisplatin-sensitive and resistant BC cell lines. In a previous study, we also found that glucose-derived endogenous acetate contributes to cell viability and increased de novo synthesis of lipids via ACSS2 15. However, the role of these bioactive metabolites in influencing lipid metabolism in BC cisplatin resistance is not fully understood. Lipid modification of proteins at the post-translational level mostly occurs on cysteine thiols through the covalent addition of long-chain fatty acids (predominantly 16-carbon palmitic acid) 16,17. This is called protein palmitoylation and can lead to an increase in hydrophobicity of cytoplasmic proteins and an affinity to cytosolic membrane surfaces 18. Palmitoylation is an attractive mechanism for modulating protein activity, stability, interactions, localization, signaling transduction, apoptosis, and carcinogenesis 19-24. It has been shown that palmitoylation is particularly important for protein stability; it suppresses degradation by preventing ubiquitylation 19. The role of palmitoylation in protein stability has been demonstrated in a wide variety of targets and diseases, including c-Met, TEAD transcription factor, progressive rod-cone degeneration, and Huntington's disease 16,25-27. Based on the critical role of palmitoylation in protein function and disease, investigating its impact on acquired chemoresistance in BC presents a promising opportunity. From our original palmitoyl-protein identification and site characterization (PalmPISC) method 28, we previously developed a low-background acyl-biotinyl exchange (LB-ABE), a significantly improved method for successful purification and identification of hydrophobic palmitoylated proteins 28,29. By largely eliminating the co-isolation of non-palmitoylated proteins, LB-ABE minimizes the “ratio compression” issue and substantially improves quantification accuracy 29,30. Fatty acid synthase (FASN) is a multifunctional enzyme that is involved in the de-novo synthesis of lipids 31. Its main function is catalyzing the synthesis of 16-C palmitate 32. Overexpression of FASN has been noted in a variety of different tumor types, including non-muscle invasive BC (NMIBC), and is significantly associated with poorer prognoses 33. Studies have shown that FASN is a particularly informative prognostic predictor in BC; expression was found to be positively correlated with tumor aggressiveness, histologic grade, recurrence, and poor survivability in patient cohorts 34,35. Additionally, inhibition of FASN via siRNA increased apoptosis and decreased proliferation in BC cells 36. The primary product of FASN, palmitate, plays an especially important in protein palmitoylation by attaching to and regulating protein localization, stability, and function 17. Consequently, FASN is directly involved in the palmitoylation of proteins. Current understanding of protein palmitoylation (more accurately termed S-acylation) status and its role in cisplatin resistance remains very limited. In this paper, our proteome-scale analysis of adipocyte S-acylated proteins in cisplatin-sensitive vs resistant BC cells suggest 506 putative palmitoylated proteins associated with cisplatin resistance. We also tested the hypothesis that lipid metabolism changes in cisplatin-resistant BC cells may be mediated by the S-palmitoylation of FASN. Our experimental results demonstrated that protein palmitoylation of FASN contributes to cisplatin resistance in BC cells. This study also provides evidence suggesting that FASN inhibition alters the palmitoylation of programmed death ligand-1 (PD-L1).

Materials and Methods

Cell culture

Parental T24 human BC cells were procured from American Type Culture Collection. Cisplatin-sensitive (T24S) and resistant T24 (T24R) BC cells were developed and characterized in the laboratory 37. Cells were cultured in Dulbecco's modified eagle medium (DMEM) supplemented with 10% fetal bovine serum, 2% glutamine, and 1% antibiotics (Invitrogen, Carlsbad, CA). All BC cells used for this paper were maintained under a humidified atmosphere of 5% CO2 at 37 °C.

Antibodies and reagents

The following antibodies and dilutions were used according to manufacturer's instructions: β-actin (A1978) from Sigma; PD-L1 (13684) (1:1000), FASN (3180) (1:1000) and HRP-conjugated secondary antibodies, rabbit (7074) (1:3000), mouse (7076) (1:3000), from Cell Signaling Technology.

Palmitoyl-protein enrichment using LB-ABE

Palmitoyl proteins were enriched using our LB-ABE method30. Briefly, after cell lysis, 0.7 mg of protein from each replicate was reduced by 50 mM tris(2-carboxyethyl)phosphine (TCEP) and alkylated sequentially by 50 mM N-ethylmaleimide and 50 mM 2,2'-dithiodipyridine (DTDP). Palmitoyl proteins were converted into biotinylated proteins using 2 M neutral hydroxylamine and 1 mM biotin-N-[6-(biotinamido) hexyl]-3'-(2'-pyridyldithio) propionamide (HPDP), enriched by streptavidin affinity purification, and eluted by 50 mM TCEP.

CAPTUREome™ S-Palmitoylated Protein Kit Assay

Confirmation of S-palmitoylated proteins in BC cells was conducted using the commercially available CAPTUREome™ S-Palmitoylated Protein Kit (cat # K010-311, Badrilla, UK). Following the indicated 2-bromopalmitate (2-BP) treatments, cells were collected and washed in phosphate-buffered saline (PBS). The methodology for acyl-RAC, including blocking of free thiols, cleavage of thioester linkages, and capture of nascent thiols on Sepharose, was carried out according to the manufacturer's instructions. In particular, equal amounts of protein (1-2 mg) were diluted in 500 μl of blocking buffer (buffer A and thiol blocking reagent) and incubated at 40 °C for 4 hours with constant shaking. Three volumes of cold acetone were added, and proteins were allowed to precipitate at -20°C for 20 min. Following centrifugation of the solution at 16,000 g for 5 min, the pellet was extensively washed with 70% acetone five times and air-dried completely after the final wash. Pellet was re-dissolved in 300 μl binding buffer and incubated in a shaking heat block at 40°C for 1 hour. The homogenates were centrifuged at 16,000 × g for 5 min to remove insoluble debris. Approximately 20 μl of each supernatant was saved as the “total input.” The pre-washed capture resin slurry (50 μl) was added to the remaining lysates, and 19 μl of thioester cleavage reagent was then added. Binding reactions were carried out on a rotator at room temperature for 2.5 hours. Resins were washed at least five times with binding buffer. Supernatants were removed and mixed with 2× Laemmli loading buffer, heated to 60 °C for 10 min, and separated via SDS-PAGE. All kits were used following the manufacturer's instructions.

Palmitoyl protein digestion and label-free proteomic analysis

Enriched palmitoyl proteins were digested by trypsin, using filter-aided sample preparation (FASP) 38,39. Label-free proteomic analysis was performed using an EASY-nLC 1000 connected to an LTQ Orbitrap Elite Hybrid Mass Spectrometer, as previously described 29. Tryptic peptides were loaded onto a 2 cm trap column and separated on a 50 cm EASY-Spray Analytical Column heated to 55 °C, using a gradient of 2-34% B in 174 min, 34-60% B in 10 min, 60-100% B in 2 min, and 100% B in 14 min at the flow rate of 150 nL/min. Mass spectra were acquired in a data-dependent manner, with automatic switching between mass spectrometry (MS) and tandem mass spectrometry (MS/MS) scans. In the MS scans, a lock mass at m/z 445.120025 was applied to provide internal mass calibration. The full scan was performed using a 240,000 resolution at m/z 400 Th, with an ion packet setting of 1×106 for automatic gain control and maximum injection time of 500 ms. The 20 most intense peptide ions with charge state ≥2 were automatically selected for MS/MS fragmentation by rapid collision-induced dissociation (rCID), using a resolution of 7,500, 1×104 automatic gain control, 50 ms maximum injection time, 10 ms activation time, and 35% normalized collision energy. Dynamic exclusion was enabled with a repeat count of 1, an exclusion duration of 30 s, and a repeat duration of 90 s.

Database searching for protein identification and quantification

The acquired MS data was searched against the Uniprot_Human Database (released on 01/22/2016, containing 20,985 sequences) using the Andromeda 40 algorithm in the MaxQuant 41 (v1.5.5.1) environment. The searching parameters were set as follows: trypsin/P as the protease; oxidation (M), acetyl (protein N-term), NEM(C), and carbamidomethyl (C) as variable modifications; up to two missed cleavages; minimal peptide length as 7; mass tolerance for MS1 was 4.5 ppm for main search and for MS2 was 0.5 Da; identification of second peptides enabled; label-free quantification (LFQ) enabled, and match-between-runs within 2 min were enabled. A stringent 1% FDR was used to filter PSM, peptide, and protein identifications.

Identification of differentially palmitoylated proteins (DPPs)

LFQ intensities were normalized using the quantile normalization method 42 to compare different conditions. To filter out low-quality proteins, selected proteins were detected in at least two samples under each condition. DPPs between T24S and T24R cells were identified using a previously reported statistical test 43. Briefly, log2-intensities of each protein from T24R cells were compared to those in T24S cells using the Student's t-test and log2-median ratio test. We estimated empirical null distributions of t-values and log2-median ratio values by randomly permuting 6 samples 1,000 times and calculating the t-test and log2-median ratio test. These two p-values were then integrated into an overall p-value using Stouffer's method 44. DPPs were identified as proteins with overall P<0.05 and absolute log2-fold-change ≥ 0.58.

Functional enrichment analysis

Enrichment analysis of gene ontology biological process (GOBPs) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways for DPPs was performed using DAVID 45. The functional classification analysis of GOBPs, gene ontology cellular components (GOCCs), and gene ontology molecular functions (GOMFs) was performed using PANTHER (Ver. 11) 46.

Reconstruction of a network model

To reconstruct a network model describing cisplatin resistance in BC cells, a subset of genes that are involved in metabolic processes was selected. Interaction information of the genes from the STRING database (Ver. 10.5) 47 was then collected and used to reconstruct a network model. Finally, the network model was visualized using Cytoscape 48. The nodes in the network model were distributed according to the metabolic pathways that they are involved in.

Western blot analysis

Whole-cell lysates for western blot analysis were prepared as described in a previous paper 49. T24R and T24S BC cells were cultured on 10 cm plates and treated with 2-BP or orlistat at varying doses. Cells were lysed with RIPA buffer (20 mM Tris, 150 mM NaCl, 1% Nonidet P-40, 0.1 mM EDTA) (Pierce, ThermoFisher) supplemented with a phosphatase inhibitor cocktail (ThermoFisher), homogenized, and centrifuged at 13,000 ×g and 4°C for 20 min. Afterwards, 25 μg of protein lysates per lane was run on a 4-15% gradient SDS-PAGE gel. Following protein transfer onto polyvinylidene fluoride (PVDF), the membranes were blocked with either 5% bovine serum albumin (BSA) or 5% nonfat milk in Tris-buffered saline with 0.1% Tween 20 (TBST [2.42 g/L Tris-HCl, 8 g/L NaCl, and 1 mL/L Tween 20 (pH 7.6)]) for 1 hour at room temperature. This was followed by incubation with specific primary antibodies at 4 °C overnight and 3 X 10 min washes with TBST solution. The membranes were further incubated with HRP-conjugated secondary antibodies at room temperature for 1 hour. β-actin was used as a loading control. Experiments were performed in at least triplicates for each western blot analysis.

Measurement of palmitate and cholesterol

Levels of palmitate in T24S and T24R cells were determined by targeted metabolomics analysis through the University of Florida Metabolomics Core using mass spectrometry-based targeted metabolomics analysis. Levels of cholesterol in the BC cells were determined using the commercially available Cholesterol Quantification Kit (cat #MAK043, Sigma, MO, USA). Cells were lysed in 1% (w/v) Triton X-100 in chloroform. The homogenates were centrifuged at 13,000 × g for 10 min to remove insoluble debris, and the organic phase (lower phase) was collected and dried in a 50°C dry bath for 20 min. Samples were vacuum dried for 30 min to remove traces of chloroform. The dried lipids were resuspended via vortex in an assay buffer and further quantified. All kits were used in accordance with the manufacturer's instructions.

Cell proliferation assay

Cells were seeded at a density of 2×106 cells/well in 12-well plates. Cells were then incubated with standard growth medium and treated with varying doses of 2-BP or orlistat, as described in the figures. Cells were stained with 0.05% crystal violet solution after removing the medium. After incubation at room temperature for 15 min, the wells were washed thoroughly with PBS, and cells were fixed with 4% paraformaldehyde at room temperature for 5 min. For quantitative analysis, the stained cells were dissolved in 10% acetic acid solution for reading absorbance at 570-590 nm 50. All experiments were run in at least triplicates.

Statistical analysis

Student's t-tests were performed to evaluate differential expression of the proteins between two groups. Variables with normal distribution were expressed as mean ± standard deviation (SD). All reported p-values are two-tailed, with P<0.05 being considered as statistically significant.

Results

Palmitoyl-proteomics analysis identified DPPs associated with cisplatin resistance in BC cells

Our group previously developed and characterized isogenic human BC cell lines, cisplatin sensitive (T24S) and resistant T24 BC cells (T24R) 51. In this study, we coupled LB-ABE enrichment with label-free proteomics to identify the potential link between protein palmitoylation and cisplatin resistance in BC. Briefly, we isolated palmitoyl-proteins from whole cell lysates by LB-ABE, digested them into peptides with trypsin using FASP, analyzed peptides by liquid chromatography-tandem mass spectrometry (LC-MS/MS), and performed database searching analysis and LFQ using MaxQuant. Our proteomics analysis workflow is summarized in Figure . A total of 4,188 putative palmitoylated proteins were identified with a false discovery rate of ≤1%. Representative MS spectrum of FASN is shown in Figure . After filtering out the low-quality proteins, which are detected less than two replicates from T24S or T24R BC cells, we found that most of the palmitoylated proteins overlap in T24S and T24R cells (3,315 proteins: 89.71% of total) (Figure ). We also identified 184 proteins that were palmitoylated only in T24R cells, not in T24S, and 196 proteins that were palmitoylated only in T24S cells, not in T24R (Figure ). The heatmap shows that the palmitoylation levels of most proteins in T24S and T24R cells were not significantly different (Figure ). shows the 3,695 palmitoylated proteins identified in both T24S and T24R BC cells. To assess the functions of these 3,695 palmitoylated proteins, we performed functional classification analysis using PANTHER 46. The location and function of these proteins are summarized in Figures . The identified palmitoylated proteins are functionally highly diverse; however, 35.1% of the classified proteins are related to metabolic processes and localization (Figure ). Among the 3,695 identified proteins, at least 2,581 (70%) were previously reported to be palmitoylated in other human cells 29,52, confirming successful enrichment of palmitoyl-proteins in this study. Most of the 2,581 putative palmitoylated proteins were not reported in normal human bladder or BC cells (Figure ). Next, we sought to identify DPPs in T24R cells compared to T24S. To further understand cisplatin resistance-associated protein palmitoylation changes, we aimed to identify DPPs between T24R and T24S cells. A statistical hypothesis test using an empirical null model was conducted (see Methods). From the total 3,315 putative palmitoylated proteins, 506 proteins were identified as DPPs based on the criteria of a combined P<0.05 and log2-transformed fold-change of 0.58 (Figure ). Furthermore, we found only 506 proteins as being differentially abundant in T24R cells compared to T24S after extensive statistical analysis. Among those identified 506 DPPs, at least 351 (69%) were identified as known palmitoyl proteins 29,52 (Figure ). To construct the database of known palmitoylated proteins, we combined the 3,593 human palmitoyl proteins compiled in the SwissPalm (v2), a compendium of palmitoyl proteins, with the 2,895 high-confidence candidate human palmitoyl proteins identified from LNCaP cells using LB-ABE to generate the currently most comprehensive palmitoyl-proteome database, containing 4,669 known palmitoyl proteins. Then, by comparing the 506 differentially abundant palmitoyl proteins with the 4,669 known human palmitoyl proteins, 351 DPPs were identified as known palmitoyl-proteins. The remaining 155 (31%) DPPs are novel putative palmitoyl-proteins and not reported in any type of cells (Figure ). A few examples of known and novel DPPs were shown in Figures .

Cisplatin resistance-associated protein palmitoylation changes

These 506 DDPs included 180 upregulated and 326 downregulated DPPs in T24R cells, compared to T24S (Figure . A volcano plot displays DPPs between the T24R vs. T24S cells (Figure ). Among these DDPs, NCAM1, VIM, ROR1, MAOA, and SLC7A2 are known to be palmitoylated in other types of cells52. Figure summarizes the most altered known palmitoylated proteins in T24R compared to T24S cells.

Biological and mechanistic meaning of DDPs associated with cisplatin resistance

The top 10 significantly enriched biological processes suggest that carboxylic acid transport, cell-cell adhesion, and biological adhesion were enriched for by DPPs in T24R cells (Figure ). Further functional enrichment analysis of the 180 upregulated DDPs in T24R cells revealed that oxidation-reduction or lipid metabolic processes were enriched, while the 326 downregulated DDPs were enriched for anion/ion transport and apoptosis (5 out of top 7 biological processes) (Figure ). The following doughnut charts exhibit the proportion of the numbers of up (outside) and downregulated DPPs (inside) for enriched molecular functions (Figure ) and cellular compartments (Figure ). In terms of molecular functions, those related to catalytic activity or binding were enriched for in both up and downregulated DDPs, suggesting that palmitoylation functions in membrane anchoring, trafficking, and cellular localization-associated enzymatic activity (Figure ). Cellular compartments, such as the organelles and membrane, were also enriched for by DDPs (Figure ). Table shows the enriched biological processes of DPPs between T24R and T24S cells. Functional analysis suggested that proteins related to oxidation-reduction and lipid metabolism pathways are highly palmitoylated in T24R cells. In contrast, those related to ion and anion transport were significantly downregulated in T24R cells. Collectively, our data imply that protein palmitoylation may be involved in a wide range of biological processes and aggressiveness of cancer, which can be further associated with cisplatin resistance.

Inhibition of palmitoylation differently perturbed protein palmitoylation in T24S and T24R cells

A lipid-based protein palmitoylation inhibitor, 2-BP, was used to test how palmitoylation of identified DPPs are regulated in T24R and T24S cells. In T24S cells, 165 DDPs were identified as being downregulated in response to 2-BP (log2-fold-change >0.58, combined p-value <0.05) (Figure ). A volcano plot exhibits the DDPs significantly altered by palmitoylation inhibition (Figure ). The enriched biological processes among downregulated DDPs indicated protein localization (Figure ), while those upregulated include intermediate filament, skin development, and fatty acid beta-oxidation. (). In T24R cells, 75 DDPs were upregulated and 132 were downregulated by palmitoylation inhibition (log2-fold-change >0.58, combined p-values <0.05) (Figure ). A volcano plot exhibits up or downregulated DDPs after 2-BP treatment (Figure ). The enriched biological processes among the 132 processes downregulated by palmitoylation inhibition indicated the glycosaminoglycan metabolomic process, hippo signaling, and protein localization to the plasma membrane (Figure ); while those upregulated include epidermis development, skin development, cell junction organization, and fatty acid beta-oxidation. (). There were several clustered patterns of palmitoylation changes among DPPs. For example, palmitoylation levels of DDPs, such as AGPAT1 (1- acylglycerol-3-phosphate O-acyltransferase 1), PKP2 (plakophilin 2), TMEM231 (transmembrane protein 231), SLC7A2 (solute carrier family 7 member 2), CLCN2 (chloride voltage-gated channel 2), and F2R (protease-activated receptors), decreased in both T24S and T24R cells after 2-BP treatment (Figure ). In contrast, DPPs, like PPP2R1B (protein phosphatase 2 scaffold subunit A beta), CSRP1 (cysteine and glycine rich protein 1), SHB (SH2 domain containing adaptor protein B), were decreased only in T24R cells following 2-BP treatment (Figure ). Collectively, these findings suggest that a variety of palmitoylation mechanisms may play a role in the regulation of protein palmitoylation. In both T24S and T24R cells, there were noticeable common biological processes affected by palmitoylation inhibition, including protein localization and fatty acid beta-oxidation.

ACSS2 inhibition decreases fatty acid synthesis and changes palmitoylation of proteins in BC cells

Our previous study extensively investigated and demonstrated the link between lipid production and cisplatin resistance. The total lipid levels in T24R cells were significantly higher than those in T24S cells (~170%) 52. In T24R cells, expression of several lipid metabolism-related proteins, such as ACC (acetyl-CoA carboxylase), FASN, and ACSS2 (acyl-CoA synthetase short chain family member 2), was found to be increased. Since FASN is a key player in palmitate synthesis, the influence of palmitate levels and cholesterol concentration was examined in the context of cisplatin resistance. Experimental results from our previous 53 and current study show increased palmitate, cholesterol, and lipid production in T24R cells compared to T24S (Figure ). Our group previously found that ACSS2 inhibition decreased the de novo synthesis of fatty acid by more than 60% in T24R cells, but not in T24S 51. Given these findings, we speculated that increased palmitate and cholesterol production via ACSS2 in T24R promotes changes in palmitoylation status of specific proteins; thereby, contributing to cisplatin resistance. An LC-MS/MS approach was used to determine if ACSS2 inhibition perturbs palmitoylation status of proteins in T24S and T24R cells. In T24S cells, bioinformatic analysis revealed 255 DPPs, of which 80 were upregulated and 175 were downregulated (Figure ). The volcano plot in Figure shows the downregulated proteins and their palmitoylation levels following ACSS2 inhibition treatment. The biological processes of these DPPs include ion transport, cellular homeostasis, cell adhesion, cell migration, and proliferation (Figure ). In T24R cells, ACSS2 inhibition led to 98 downregulated DDPs (Figure ). The downregulated DDPs are involved in immune response related biological processes, such as regulation of response to external stimulus, homeostatic process, inflammatory response, chemotaxis, leukocyte migration, and regulation of cell proliferation (Figure ).

FASN palmitoylation and PD-L1 expression in BC

The palmitoylation of FASN was first validated because its link to lipid metabolism is well established in many cancer types, including BC 33,36,54,55. FASN was found to be more palmitoylated in T24R cells compared to T24S. Because palmitoylation often contributes to increased protein stability and eventual upregulated expression, FASN expression could be associated with BC cisplatin resistance. We next tested a possible link between increased lipid production and palmitoylation with cisplatin resistance in BC. At baseline, T24R cells were found to express modest but greater levels of FASN expression than T24S (). The LB-ABE method was used to validate whether FASN was palmitoylated in BC cells. FASN palmitoylation levels were increased in T24R cells compared to T24S (Figure ). There were more palmitoylated FASN proteins detected as well. Palmitoylation inhibition by 2-BP repressed FASN expression in a dose-dependent manner in both T24S and T24R cells (Figure ). This implies that FASN is palmitoylated in BC cells, and the increase in palmitoylation of FASN is likely associated with cisplatin resistance in BC. Additional experiments were conducted to support the FASN palmitoylation data using commercial palmitoylation protein assay kits, as described in the Methods. These kits are based on similar enrichment principles as our own. After palmitoylation enrichment, the total palmitoylation levels were almost identical in T24R and T24S cells. However, after treatment with 2-BP, the total palmitoylated proteins were significantly reduced in T24S cells compared to T24R, which had partial remaining palmitoylated proteins. Further data using western blot analysis showed that palmitoylated FASN was increased in T24R cells compared to T24S (Figure ). PD-L1 was also found to be palmitoylated in both T24S and T24R cells. Palmitoylation levels of PD-L1 were greater in T24R cells with or without 2-BP treatment (Figure ). PD-L1 expression was determined to be approximately 15-fold greater in T24R cells compared to T24S (Figure ). When palmitoylation was inhibited by 2-BP, PD-L1 expression was significantly reduced in both T24R and T24S cells (Figure ). Although 2-BP abolished PD-L1 palmitoylation completely, it was not able to effectively suppress PD-L1 palmitoylation in T24R cells. Next, the effects of FASN inhibition on BC-specific palmitoylated proteins was examined. T24S and T24R cells were treated with orlistat. This reduced PD-L1 protein expression in both T24R and T24S cells (Figure ), suggesting that FASN activity likely regulates PD-L1 palmitoylation and stability. It was confirmed that there were no cytotoxic effects of orlistat within the conditions used, based on additional analysis showing that there were no observed changes in cell viability in response to orlistat in both T24S and T24R cells (Figure ).

Discussion

S-palmitoylation (S-acylation) is the enzymatic addition of a fatty acid (acyl) group, such as palmitate, onto cysteine residues of a protein via thioester linkage, which is catalyzed by palmitoyltransferases and depalmitoyltransferases 56. Many protein substrates can be palmitoylated by more than one DHHC enzyme with certain DHHC-substrate specificity. DHHCs may act as a functional heterodimer, which may affect their enzymatic activities. S-palmitoylation is a powerful regulatory mechanism for a number of cellular processes, including signal transduction, protein turnover, vesicle fusion, and cell-cell interactions. Dysfunctions can lead to cancer, cardiovascular disease, and neurological disorders 57-59. The reversible modification of cysteine residues by thioester formation with palmitate by the addition of a C16:0 carbon palmitoyl moiety is an abundant lipid post-translational modification. This addition of palmitate enhances a protein's affinity to the membrane, directs its distribution in membrane micro-domains, and mediates protein-protein interactions, trafficking, stability, and aggregation state. There is an intriguing potential connection between alterations in the metabolome and mitochondrial regulation. In addition, post-translational lipid modification targets and shuttles proteins between the cytosol and lipid raft within the plasma and mitochondrial membranes. Palmitoylation is known to play active roles in the sorting and trafficking of many proteins, and fluctuations in palmitoylation may contribute to signaling outcomes. S-palmitoylation has been observed in many ER and mitochondrial proteins, suggesting an intriguing potential connection between metabolic lipids and mitochondrial regulation 60. However, it is unknown whether or how mitochondrial S-palmitoylation is regulated in the context of resistance against chemotherapy 16,61-63. Our palmitoyl-proteomics approach detected a total of 25,598 peptides and 3,695 putative palmitoylated proteins in either T24S or T24R BC cells. The further defined 506 DDPs included 180 upregulated and 326 downregulated palmitoylated proteins in T24R cells. Our results also uncovered a novel molecular mechanism of palmitoylation, which demonstrates that protein palmitoylation of putative candidate proteins, is linked with responsiveness to chemotherapy, such as cisplatin. In this study, our palmitoylated protein-enriched proteomics profiling comparing cisplatin-resistant and sensitive BC cells showed that FASN is critical for protein palmitoylation in cisplatin-resistant cells. FASN plays an important role in synthesis of palmitate, which is both a precursor for fatty acids and the acyl group that is added to cysteine residues during palmitoylation 64. Therefore, it is logical to infer that overexpression of FASN is associated with increased protein palmitoylation, which then contributes to worse prognoses in certain cancers 65. Furthermore, a recent study found that FASN mediates EGFR palmitoylation in EGFR-mutated chemo-resistant non-small cell lung cancer 32. We found that FASN expression and palmitoylation may lead to increased PD-1 expression and palmitoylation. PD-L1, a T cell regulatory molecule that is expressed on the surface of tumor and tumor-infiltrating immune cells, was also found to be highly palmitoylated in cisplatin-resistant BC cells, compared to isogenic control cells 66. Activation of the pathway inhibits the activation of cytotoxic T lymphocytes and is one of the main methods through which tumor cells evade immune responses 67. Antibodies targeting PD-L1 are known to benefit overall survival in BC, and several agents have received accelerated approval from the FDA for treatment 68. In addition to being a clinical target, PD-L1 has also been shown to be a significant clinical predictor for stage and treatment response in BC 69. It has been previously shown that PD-L1 is palmitoylated via a covalent attachment of palmitic acid to its 272 cysteine residue for stability 70. Although the effects of PD-L1 palmitoylation has not been thoroughly examined in the context of BC, previous studies have shown that palmitoylation stabilizes PD-L1 and promotes tumor growth in other cancer types, such as breast cancer 71, melanoma, and BC. Based on this prior evidence, exploring the influence of PD-L1 palmitoylation in BC progression and aggression presents a promising opportunity. There are limitations in this study. Although there are ongoing studies in our laboratory, this study did not provide evidence to demonstrate whether inhibition of both FASN and PD-L1 may have synergistic inhibitory effects on cancer progression. These alternative hypotheses await further investigation. Currently, the most widely used palmitoylation inhibitor, 2-BP, a non-metabolizable palmitate analog, elicits pleiotropic effects. However, no inhibitory drugs targeting palmitoylation with high-affinity and specificity are available. There is an urgent need to identify specific, high-affinity inhibitors of protein palmitoylation for basic research and therapeutic intervention based on palmitoylation. Thus, much work remains to be developed on the specific and high affinity inhibitors of protein palmitoylation that can be applied as therapeutic strategies designed for overcoming cisplatin resistance in BC. In this study, we did not focus on the specific enzymes that catalyze palmitoylation of PD-L1. Further analysis on how palmitoylases and depalmitoylases, such as ZDHHC and APT/PPT, control PD-L1 palmitoylation and activity and contribute to activation of oncogenic pathways is warranted. Additional exploration of these mechanisms is necessary to clarify how PD-L1 is trafficked in the cell and how its activity is controlled in the context of cisplatin resistance. Supplementary figures and tables. Click here for additional data file.
Table 1

Enriched biological process of DPPs

GOBPsGene countP-valueGenes
T24R vs T24S Upcell adhesion290.006294ARHGAP5, ATP1B1, CASP8, CSRP1, DSP, CYR61, LDHA, BCAM, ME1, NCAM1, NEO1, PKP2, PLCB3, PLXNB3, PSMB10, SHB, SHC1, STK10, TPBG, SCARF1, NRP2, ME3, TMOD3, OLA1, ERBIN, ESYT2, EFHD2, VASN, MICA.
lipid metabolic process270.000834ACAA1, ACACA, ALDH1A3, ALDH3A2, CREBBP, AKR1C1, DHCR7, GM2A, HMGCS1, CYR61, PITPNA, PLCB3, ABCD3, SCD, ALDH5A1, SCARF1, ACAA2, AGPAT1, DDX20, PTGR1, ACSL5, NANS, DOLPP1, MBOAT7, PTPMT1, CERS6, IAH1.
oxidation-reduction process260.000018ACAA1, ALDH1A3, ALDH3A2, ALDOC, COX15, AKR1C1, DHCR7, LDHA, ME1, NDUFS8, PGD, ABCD3, PYGB, SCD, SPR, ALDH5A1, ACAA2, ME3, PTGR1, PRDX5, KDM3A, SQOR, NXN, VKORC1L1, QSOX2, HEPHL1.
T24R vs T24S Downcell adhesion450.005795CD59, CLPTM1, COL6A1, DNM2, DSC3, HDLBP, HSPB1, JUP, LAMC1, LGALS1, LRP6, LYN, TACSTD2, MCAM, NCAM2, PDPK1, PNN, PODXL, PRKCD, PSEN1, RANGAP1, ROBO1, RPL22, S100A11, SLC9A1, ZEB1, TGFB1, TGFBR2, MAD1L1, RIPK2, TJP2, FLOT1, PACSIN2, CLASP2, MPRIP, ICOSLG, NECTIN3, TES, BAIAP2L1, JAM2, EPS8L2, VMP1, CD99L2, ANTXR1, PHLDB2.
ion transport470.000072ABCD1, CLCN2, CLCN7, CLN3, COX4I1, DNM2, DPYSL2, STOM, F2R, GLS, LYN, ABCC1, P2RX4, PDPK1, PKD2, PLP2, PSEN1, PSEN2, SLC6A9, SLC7A2, SLC9A1, SLC12A2, SLC25A1, SNAP25, TGFB1, SLC39A7, SLC43A1, SLC5A6, SLC16A3, TMEM63A, SLC12A7, SERINC3, SLC39A14, CALHM2, TRPV2, SLC38A2, MCOLN1, SERINC1, SLC26A6, TTYH3, SLC38A1, MCU, ORAI3, SLC46A1, NIPA1, SLC9B2, CALHM5.
anion transport250.000003ABCD1, CLCN2, CLCN7, CLN3, DPYSL2, GLS, ABCC1, P2RX4, PSEN1, SLC6A9, SLC7A2, SLC12A2, SLC25A1, SNAP25, SLC43A1, SLC5A6, SLC16A3, SLC12A7, SERINC3, SLC38A2, SERINC1, SLC26A6, TTYH3, SLC38A1, SLC46A1.
  70 in total

1.  A comparison of normalization methods for high density oligonucleotide array data based on variance and bias.

Authors:  B M Bolstad; R A Irizarry; M Astrand; T P Speed
Journal:  Bioinformatics       Date:  2003-01-22       Impact factor: 6.937

2.  Universal sample preparation method for proteome analysis.

Authors:  Jacek R Wiśniewski; Alexandre Zougman; Nagarjuna Nagaraj; Matthias Mann
Journal:  Nat Methods       Date:  2009-04-19       Impact factor: 28.547

3.  Glucose-derived acetate and ACSS2 as key players in cisplatin resistance in bladder cancer.

Authors:  He Wen; Sujin Lee; Wei-Guo Zhu; Ok-Jun Lee; Seok Joong Yun; Jayoung Kim; Sunghyouk Park
Journal:  Biochim Biophys Acta Mol Cell Biol Lipids       Date:  2018-06-05       Impact factor: 4.698

4.  SwissPalm 2: Protein S-Palmitoylation Database.

Authors:  Mathieu Blanc; Fabrice P A David; F Gisou van der Goot
Journal:  Methods Mol Biol       Date:  2019

5.  Palmitoylation of Progressive Rod-Cone Degeneration (PRCD) Regulates Protein Stability and Localization.

Authors:  Joseph Murphy; Saravanan Kolandaivelu
Journal:  J Biol Chem       Date:  2016-09-09       Impact factor: 5.157

6.  S-palmitoylation and the regulation of NCX1.

Authors:  William Fuller; Louise Reilly; Donald W Hilgemann
Journal:  Channels (Austin)       Date:  2015-09-29       Impact factor: 2.581

Review 7.  Cancer metabolic reprogramming: importance, main features, and potentials for precise targeted anti-cancer therapies.

Authors:  Liem Minh Phan; Sai-Ching Jim Yeung; Mong-Hong Lee
Journal:  Cancer Biol Med       Date:  2014-03       Impact factor: 4.248

8.  A potential role for protein palmitoylation and zDHHC16 in DNA damage response.

Authors:  Na Cao; Jia-Kai Li; Yu-Qing Rao; Huijuan Liu; Ji Wu; Baojie Li; Peiquan Zhao; Li Zeng; Jing Li
Journal:  BMC Mol Biol       Date:  2016-05-10       Impact factor: 2.946

9.  Fatty acid synthase mediates EGFR palmitoylation in EGFR mutated non-small cell lung cancer.

Authors:  Azhar Ali; Elena Levantini; Jun Ting Teo; Julian Goggi; John G Clohessy; Chan Shuo Wu; Leilei Chen; Henry Yang; Indira Krishnan; Olivier Kocher; Junyan Zhang; Ross A Soo; Kishore Bhakoo; Tan Min Chin; Daniel G Tenen
Journal:  EMBO Mol Med       Date:  2018-03       Impact factor: 12.137

10.  The role of PD-L1 in the radiation response and clinical outcome for bladder cancer.

Authors:  Chun-Te Wu; Wen-Cheng Chen; Ying-Hsu Chang; Wei-Yu Lin; Miao-Fen Chen
Journal:  Sci Rep       Date:  2016-01-25       Impact factor: 4.379

View more
  8 in total

Review 1.  Proteome-Scale Analysis of Protein S-Acylation Comes of Age.

Authors:  Yang Wang; Wei Yang
Journal:  J Proteome Res       Date:  2020-11-30       Impact factor: 4.466

Review 2.  Mechanisms regulating PD-L1 expression in cancers and associated opportunities for novel small-molecule therapeutics.

Authors:  Hirohito Yamaguchi; Jung-Mao Hsu; Wen-Hao Yang; Mien-Chie Hung
Journal:  Nat Rev Clin Oncol       Date:  2022-02-07       Impact factor: 66.675

3.  Development and validation of a novel lipid metabolism-related gene prognostic signature and candidate drugs for patients with bladder cancer.

Authors:  Ke Zhu; Liu Xiaoqiang; Wen Deng; Gongxian Wang; Bin Fu
Journal:  Lipids Health Dis       Date:  2021-10-27       Impact factor: 3.876

Review 4.  Novel Insights on Lipid Metabolism Alterations in Drug Resistance in Cancer.

Authors:  Ruixue Yang; Mei Yi; Bo Xiang
Journal:  Front Cell Dev Biol       Date:  2022-05-13

Review 5.  Emerging roles of protein palmitoylation and its modifying enzymes in cancer cell signal transduction and cancer therapy.

Authors:  Zhuang Liu; Mingming Xiao; Yaqi Mo; Han Wang; Yamei Han; Xu Zhao; Xue Yang; Zhenxing Liu; Bo Xu
Journal:  Int J Biol Sci       Date:  2022-05-09       Impact factor: 10.750

6.  Post-translational regulations of PD-L1 and PD-1: Mechanisms and opportunities for combined immunotherapy.

Authors:  Xiaoming Dai; Yang Gao; Wenyi Wei
Journal:  Semin Cancer Biol       Date:  2021-04-05       Impact factor: 17.012

Review 7.  Lipid-induced S-palmitoylation as a Vital Regulator of Cell Signaling and Disease Development.

Authors:  Mengyuan Qu; Xuan Zhou; Xiaotong Wang; Honggang Li
Journal:  Int J Biol Sci       Date:  2021-10-11       Impact factor: 6.580

8.  Evaluation of aliphatic acid metabolism in bladder cancer with the goal of guiding therapeutic treatment.

Authors:  Tianbao Song; Kaixiang He; Jinzhuo Ning; Wei Li; Tao Xu; Weimin Yu; Ting Rao; Fan Cheng
Journal:  Front Oncol       Date:  2022-08-18       Impact factor: 5.738

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.