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Quantitative Peptidomics of Endogenous Peptides Involved in TGF-β1-Induced Epithelial Mesenchymal Transition of Renal Epithel

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Quantitative Peptidomics of Endogenous Peptides Involved in TGF-β1-Induced Epithelial Mesenchymal Transition of Renal Epithel Kanlaya and Thongboonkerd Cell Death Discovery (2018) 4:9 DOI 10.1038/s41420-017-0001-x Cell Death Discovery ARTICLE Open Access Quantitative peptidomics of endogenous peptides involved in TGF-β1-induced epithelial mesenchymal transition of renal epithelial cells Rattiyaporn Kanlaya1 and Visith Thongboonkerd1 Abstract TGF-β1 is a key fibrotic factor mediating epithelial mesenchymal transition (EMT) of epithelial cells through various signaling pathways. However, roles of proteolytic cleavage and endogenous peptide dynamics in TGF-β1-induced EMT remain unknown. We therefore performed quantitative peptidomics of TGF-β1-induced EMT in renal tubular epithelial cells. The acquired mesenchymal characteristics were confirmed, including morphological change (from cobblestone-like to fibroblast-like), decreased epithelial marker (ZO-1), and increased mesenchymal marker (vimentin). Quantitative peptidomics using stable isotope labeling revealed significantly altered levels of 70 unique endogenous peptides (derived from internal and C-terminal parts of 39 unique precursor proteins) after EMT induction. Interestingly, the majority of these peptides were derived from non-short-lived proteins, and analysis of P1 position revealed predominance of hydrophobic residues, suggesting that these endogenous peptides were generated mainly from proteasome cleavage. This hypothesis was confirmed by treating the cells with MG132 (a proteasome inhibitor), β 1234567890 1234567890 which provided almost identical endogenous peptide pattern as of the TGF- 1-treated cells. Moreover, validation assay showed marked reduction of proteasome peptidase activity in both TGF-β1-treated and MG132-treated cells. This is the first peptidome dataset that provides several novel aspects of mechanisms for TGF-β1-induced EMT. Our data also suggest that TGF-β1 exerts inhibitory effect against proteasome activity during EMT induction. Introduction induction of epithelial mesenchymal transition (EMT) Renal interstitial fibrosis is a common feature of chronic that is associated with increased ECM production and kidney disease (CKD). Patients with CKD are suffered accumulation3,4. TGF-β1 triggers signal transduction from declined renal function as a consequence of renal through its Type I and Type II receptors by forming a injury, nephron loss, and reduction of glomerular filtra- signaling complex that subsequently regulates many tion rate1,2. Transforming growth factor-β1 (TGF-β1) is downstream molecules (e.g., ERK1/2 and Smads) to fur- widely accepted as a major mediator involved in renal ther induce fibrotic factors3,5. While many signaling fibrosis leading to CKD via various mechanisms, including pathways mediated by TGF-β1 have been characterized, inflammation, suppression of extracellular matrix (ECM) very little is known about roles of TGF-β1 and its degradation, activation of residential myofibroblasts, and downstream pathways in regulation of intracellular pro- teolytic cleavage. To date, only a few studies have addressed the interplays Correspondence: Visith Thongboonkerd ([email protected]) β ([email protected]) between cellular protease activities and TGF- 1 signaling. 1Medical Proteomics Unit, Office for Research and Development, Faculty of The active serine protease, plasmin, has been reported to Medicine Siriraj Hospital, and Center for Research in Complex Systems Science, be involved in TGF-β1 activation to promote renal Mahidol University, Bangkok, Thailand Edited by N. Barlev © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a linktotheCreativeCommons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. Official journal of the Cell Death Differentiation Association Kanlaya and Thongboonkerd Cell Death Discovery (2018) 4:9 Page 2 of 12 (A) Control TGF-β1 20 μm 20 μm (B) 2.0 250 ZO-1 150 100 75 1.5 * 50 37 1.0 25 ZO-1 level 20 0.5 15 50 (normalized to GAPDH) 37 GAPDH 0.0 25 Control TGF-β1 (C) 2.0 150 * 100 75 1.5 50 Vimentin 37 25 1.0 20 15 0.5 Vimentin level Vimentin 50 37 (normalized to GAPDH) GAPDH 0.0 25 Control TGF-β1 Fig. 1 Induction of EMT in HK-2 cells by TGF-β1. a Controlled (untreated) cells had cobblestone like morphology, whereas those treated with 5 ng/mL TGF-β1 for 48 h showed fibroblast-like morphology. Original magnification power = ×400. b, c Epithelial marker (ZO-1) was significantly decreased, whereas mesenchymal marker (vimentin) was significantly increased. GAPDH served as the protein loading control. Each bar represents mean ± SD of the data derived from three independent experiments. *p < 0.05 vs. control Official journal of the Cell Death Differentiation Association Kanlaya and Thongboonkerd Cell Death Discovery (2018) 4:9 Page 3 of 12 l l l l l l l l ll l l l ll l l l ll ll ll l lll l l l l l l l l ll l ll l l l ll l l l l l l l Fig. 2 Characteristics of the altered precursor proteins and endogenous peptides in TGF-β1-treated cells. The altered precursor proteins were grouped by their subcellular localization (a), number of the identified peptides (b), GO enrichment analysis of biological process (c), and GO molecular function (d). The altered peptides were grouped by their cleavage site (e), length (number of amino acid residues) (f), mass distribution and intensity (g), and hydrophobicity (h) Official journal of the Cell Death Differentiation Association Kanlaya and Thongboonkerd Cell Death Discovery (2018) 4:9 Page 4 of 12 interstitial fibrosis in mice with unilateral ureteral (A) Protein stability 35 obstruction (UUO), whereas plasmin-deficient mice 6,7 30 showed only mild degree of interstitial fibrosis . Recent 25 study has demonstrated the potential strategy to inhibit 20 renal fibrosis by using a serine protease inhibitor, camo- 8 15 stat mesilate, both in vitro and in vivo . In vitro investi- proteins 10 gation using a rat kidney fibroblast cell line, NRK-49F, 5 treated with TGF-β1 has shown that camostat mesilate Number of precursor 0 could reduce activation of the downstream targets of Short-lived Non-short-lived β proteins proteins TGF- 1 signaling, i.e., phosphorylated ERK1/2 and Smad2/38. In vivo study using rat with UUO has also (B) Proteolysis demonstrated that camostat mesilate could suppress 50 TGF-β1-mediated renal fibrosis by a marked reduction of 45 8 40 collagen accumulation in the kidney . Another study has 35 revealed that a urinary trypsin inhibitor, ulinastatin, could 30 fi 25 attenuate renal interstitial brosis in UUO rats by 20 affecting the TGF-β1/Smad pathways9. 15 fi β 10 These ndings raise a hypothesis that TGF- 1 and its 5 Number of peptides downstream molecules may affect protease/peptidase 0 (1-2) (3-65) (>65) activities to aggravate their pathological roles during the Translational Possible Other fi N-terminus localization endoproteolysis development of renal brosis. However, there was no sequence previous study to analyze endogenous peptides generated during TGF-β1-induced renal fibrosis or EMT. With the (C) Peptide stability current insights that intracellular peptides bear significant 50 45 biological functions, the present study thus aimed to 40 characterize the endogenous peptides generated from 35 renal tubular epithelial cells under TGF-β1-induced EMT 30 25 condition by a quantitative peptidomics approach using 20 stable isotopic labeling, followed by bioinformatic pre- 15 diction and functional validations. 10 5 % amino amino acid at P1' site % 0 Results Destabilizing Intermediate Stabilizing Induction of EMT by TGF-β1 in HK-2 cells β (D) HK-2 cells were treated with 5 ng/mL TGF- 1 for 48 h Oxidoreductase activity and cell morphology was observed under a phase-contrast Threonine-type endopeptidase activity microscope. The results showed that TGF-β1 induced Unfolded protein binding change of the cell morphology to fibroblast-like, whereas Structural constituent of ribosome the controlled (untreated) cells still had a typical mor- Structural molecule activity Non-short-lived phology of epithelial cells (Fig. 1a). In addition, western blotting revealed significant decrease in an epithelial Signal transducer activity marker ZO-1 (Fig. 1b), whereas the mesenchymal marker Molecular transducer activity fi β Receptor activity vimentin was signi cantly increased in TGF- 1-treated Short-lived 0.0 1.0 2.0 3.0 4.0 5.0 cells (Fig. 1c). -log10 (P-value) Characteristics of the altered endogenous peptides and Fig. 3 Stability of the altered precursor proteins and endogenous peptides in TGF-β1-treated cells. a Number of the precursor precursor proteins proteins based on their stability (short-lived vs. non-short-lived Using stable isotopic labeling, we identified a total of proteins). b Grouping of the endogenous peptides according to their 223 individual endogenous peptides in the TGF-β1- three main categories of proteolysis. c Peptide stability based on the treated cells. Quantitative analyses revealed significant ′ stability of amino acids at P1 site. d GO enrichment analysis of changes in levels of 70 unique peptides derived from 39 molecular function of the precursor proteins classified by their stability unique precursor proteins in the TGF-β1-treated cells as compared to the controlled cells (Supplementary Table 1). Most of these altered peptides (64 peptides from 34 pre- cursor proteins) were decreased, whereas six peptides Official journal of the Cell Death Differentiation Association Kanlaya and Thongboonkerd Cell Death Discovery (2018) 4:9 Page 5 of 12 derived from five precursor proteins were increased in the TGF-β1-treated cells.
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