201
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Zhong CQ, Wu J, Qiu X, Chen X, Xie C, Han J. Generation of a murine SWATH-MS spectral library to quantify more than 11,000 proteins. Sci Data 2020; 7:104. [PMID: 32218446 PMCID: PMC7099061 DOI: 10.1038/s41597-020-0449-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Accepted: 03/06/2020] [Indexed: 12/16/2022] Open
Abstract
Targeted SWATH-MS data analysis is critically dependent on the spectral library. Comprehensive spectral libraries of human or several other organisms have been published, but the extensive spectral library for mouse, a widely used model organism is not available. Here, we present a large murine spectral library covering more than 11,000 proteins and 240,000 proteotypic peptides, which included proteins derived from 9 murine tissue samples and one murine L929 cell line. This resource supports the quantification of 67% of all murine proteins annotated by UniProtKB/Swiss-Prot. Furthermore, we applied the spectral library to SWATH-MS data from murine tissue samples. Data are available via SWATHAtlas (PASS01441). Measurement(s) | Mouse Protein • mass spectrum • spectral library | Technology Type(s) | mass spectrometry • combined ms-ms + spectral library search | Sample Characteristic - Organism | Mus musculus |
Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.11968230
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Affiliation(s)
- Chuan-Qi Zhong
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cellular Signaling Network, School of Life Sciences, Xiamen University, Xiamen, China.
| | - Jianfeng Wu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cellular Signaling Network, School of Life Sciences, Xiamen University, Xiamen, China
| | - Xingfeng Qiu
- Department of Gastrointestinal Surgery, Zhongshan Hospital of Xiamen University, Xiamen, China
| | - Xi Chen
- Medical Research Institute, Wuhan University, Wuhan, China.,SpecAlly Life Technology Co., Ltd, Wuhan, China
| | - Changchuan Xie
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cellular Signaling Network, School of Life Sciences, Xiamen University, Xiamen, China
| | - Jiahuai Han
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cellular Signaling Network, School of Life Sciences, Xiamen University, Xiamen, China.
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202
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Zhang S, Raedschelders K, Venkatraman V, Huang L, Holewinski R, Fu Q, Van Eyk JE. A Dual Workflow to Improve the Proteomic Coverage in Plasma Using Data-Independent Acquisition-MS. J Proteome Res 2020; 19:2828-2837. [PMID: 32176508 PMCID: PMC10360210 DOI: 10.1021/acs.jproteome.9b00607] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Plasma is one of the most important and common matrices for clinical chemistry and proteomic analyses. Data-independent acquisition (DIA) mass spectrometry has enabled the simultaneous quantitative analysis of hundreds of proteins in plasma samples in support population and disease studies. Depletion of the highest abundant proteins is a common tool to increase plasma proteome coverage, but this strategy can result in the nonspecific depletion of protein subsets with which proteins targeted for depletion interact, adversely affecting their analysis. Our work using an antibody-based depletion column revealed significant complementarity not only in the identification of the proteins derived from depleted and undepleted plasma, but importantly also in the extent to which different proteins can be reproducibly quantified in each fraction. We systematically defined four major quantitative parameters of increasing stringency in both the depleted plasma fraction and in undepleted plasma for 757 observed plasma proteins: Linearity cutoff r2 > 0.8; lower limit of quantification (LLOQ); measurement range; limit of detection (LOD). We applied the results of our study to build a web-based tool, PlasmaPilot, that can serve as a protocol decision tree to determine whether the analysis of a specific protein warrants IgY14 mediated depletion.
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Affiliation(s)
- Shenyan Zhang
- Advanced Clinical Biosystems Research Institute, Barbra Streisand Women’s Heart Center at the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
- BGI Genomics, Shenzhen 518083, China
| | - Koen Raedschelders
- Advanced Clinical Biosystems Research Institute, Barbra Streisand Women’s Heart Center at the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| | - Vidya Venkatraman
- Advanced Clinical Biosystems Research Institute, Barbra Streisand Women’s Heart Center at the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| | - Lilith Huang
- Advanced Clinical Biosystems Research Institute, Barbra Streisand Women’s Heart Center at the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| | - Ronald Holewinski
- Advanced Clinical Biosystems Research Institute, Barbra Streisand Women’s Heart Center at the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| | - Qin Fu
- Advanced Clinical Biosystems Research Institute, Barbra Streisand Women’s Heart Center at the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| | - Jennifer E. Van Eyk
- Advanced Clinical Biosystems Research Institute, Barbra Streisand Women’s Heart Center at the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
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203
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Proteomic Analysis of the Early Development of the Phalaenopsis amabilis Flower Bud under Low Temperature Induction Using the iTRAQ/MRM Approach. Molecules 2020; 25:molecules25051244. [PMID: 32164169 PMCID: PMC7179402 DOI: 10.3390/molecules25051244] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Revised: 02/28/2020] [Accepted: 03/03/2020] [Indexed: 12/31/2022] Open
Abstract
Phalaenopsis amabilis, one of the most important plants in the international flower market due to its graceful shape and colorful flowers, is an orchid that undergoes vernalization and requires low-temperature treatment for flowering. There have been few reports on the proteomics of the development of flower buds. In this study, isobaric tags for relative and absolute quantification (iTRAQ) were used to identify 5064 differentially expressed proteins in P. amabilis under low-temperature treatment; of these, 42 were associated with early floral induction, and 18 were verified by mass spectrometry multi-reaction monitoring (MRM). The data are available via ProteomeXchange under identifier PXD013908. Among the proteins associated with the vernalization pathway, PEQU_11434 (glycine-rich RNA-binding protein GRP1A-like) and PEQU_19304 (FT, VRN3 homolog) were verified by MRM, and some other important proteins related to vernalization and photoperiod pathway that were detected by iTRAQ but not successfully verified by MRM, such as PEQU_11045 (UDP-N-acetylglucosamine diphosphorylase), phytochromes A (PEQU_13449, PEQU_35378), B (PEQU_09249), and C (PEQU_41401). Our data revealed a regulation network of the early development of flower buds in P. amabilis under low temperature induction.
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204
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Montellese C, van den Heuvel J, Ashiono C, Dörner K, Melnik A, Jonas S, Zemp I, Picotti P, Gillet LC, Kutay U. USP16 counteracts mono-ubiquitination of RPS27a and promotes maturation of the 40S ribosomal subunit. eLife 2020; 9:54435. [PMID: 32129764 PMCID: PMC7065907 DOI: 10.7554/elife.54435] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Accepted: 03/03/2020] [Indexed: 12/12/2022] Open
Abstract
Establishment of translational competence represents a decisive cytoplasmic step in the biogenesis of 40S ribosomal subunits. This involves final 18S rRNA processing and release of residual biogenesis factors, including the protein kinase RIOK1. To identify novel proteins promoting the final maturation of human 40S subunits, we characterized pre-ribosomal subunits trapped on RIOK1 by mass spectrometry, and identified the deubiquitinase USP16 among the captured factors. We demonstrate that USP16 constitutes a component of late cytoplasmic pre-40S subunits that promotes the removal of ubiquitin from an internal lysine of ribosomal protein RPS27a/eS31. USP16 deletion leads to late 40S subunit maturation defects, manifesting in incomplete processing of 18S rRNA and retarded recycling of late-acting ribosome biogenesis factors, revealing an unexpected contribution of USP16 to the ultimate step of 40S synthesis. Finally, ubiquitination of RPS27a appears to depend on active translation, pointing at a potential connection between 40S maturation and protein synthesis.
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Affiliation(s)
| | - Jasmin van den Heuvel
- Institute of Biochemistry, ETH Zurich, Zurich, Switzerland.,Molecular Life Sciences Ph.D. Program, Zurich, Switzerland
| | | | - Kerstin Dörner
- Institute of Biochemistry, ETH Zurich, Zurich, Switzerland.,Molecular Life Sciences Ph.D. Program, Zurich, Switzerland
| | - André Melnik
- Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland
| | - Stefanie Jonas
- Institute of Biochemistry, ETH Zurich, Zurich, Switzerland
| | - Ivo Zemp
- Institute of Biochemistry, ETH Zurich, Zurich, Switzerland
| | - Paola Picotti
- Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland
| | | | - Ulrike Kutay
- Institute of Biochemistry, ETH Zurich, Zurich, Switzerland
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205
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Müller F, Rappsilber J. A protocol for studying structural dynamics of proteins by quantitative crosslinking mass spectrometry and data-independent acquisition. J Proteomics 2020; 218:103721. [PMID: 32109607 DOI: 10.1016/j.jprot.2020.103721] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Revised: 11/13/2019] [Accepted: 02/24/2020] [Indexed: 10/24/2022]
Abstract
Quantitative crosslinking mass spectrometry (QCLMS) reveals structural details of protein conformations in solution. QCLMS can benefit from data-independent acquisition (DIA), which maximises accuracy, reproducibility and throughput of the approach. This DIA-QCLMS protocol comprises of three main sections: sample preparation, spectral library generation and quantitation. The DIA-QCLMS workflow supports isotope-labelling as well as label-free quantitation strategies, uses xiSEARCH for crosslink identification, and xiDIA-Library to create a spectral library for a peptide-centric quantitative approach. We integrated Spectronaut, a leading quantitation software, to analyse DIA data. Spectronaut supports DIA-QCLMS data to quantify crosslinks. It can be used to reveal the structural dynamics of proteins and protein complexes, even against a complex background. In combination with photoactivatable crosslinkers (photo-DIA-QCLMS), the workflow can increase data density and better capture protein dynamics due to short reaction times. Additionally, this can reveal conformational changes caused by environmental influences that would otherwise affect crosslinking itself, such as changing pH conditions. SIGNIFICANCE: This protocol is an detailed step-by-step description on how to implement our previously published DIA-QCLMS workflow (Müller et al. Mol Cell Proteomics. 2019 Apr;18(4):786-795). It includes sample preparation for QCLMS, Optimization of DIA strategies, implementation of the Spectronaut software and required python scripts and guideline on how to analyse quantitative crosslinking data. The DIA-QCLMS workflow widen the scope for a range of new crosslinking applications and this step-by-step protocol enhances the accessibility to a broad scientific user base.
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Affiliation(s)
- Fränze Müller
- Bioanalytics, Institute of Biotechnology, Technische Universität Berlin, 13355 Berlin, Germany
| | - Juri Rappsilber
- Bioanalytics, Institute of Biotechnology, Technische Universität Berlin, 13355 Berlin, Germany; Wellcome Centre for Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3BF, Scotland, United Kingdom.
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206
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Target prediction and validation of microRNAs expressed from FSHR and aromatase genes in human ovarian granulosa cells. Sci Rep 2020; 10:2300. [PMID: 32042028 PMCID: PMC7010774 DOI: 10.1038/s41598-020-59186-x] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Accepted: 01/08/2020] [Indexed: 02/06/2023] Open
Abstract
MicroRNAs (miRNAs) are known post-transcriptional regulators of various biological processes including ovarian follicle development. We have previously identified miRNAs from human pre-ovulatory ovarian granulosa cells that are expressed from the intronic regions of two key genes in normal follicular development: FSH receptor (FSHR) and CYP19A1, the latter encoding the aromatase enzyme. The present study aims to identify the target genes regulated by these miRNAs: hsa-miR-548ba and hsa-miR-7973, respectively. The miRNAs of interest were transfected into KGN cell line and the gene expression changes were analyzed by Affymetrix microarray. Potential miRNA-regulated genes were further filtered by bioinformatic target prediction algorithms and validated for direct miRNA:mRNA binding by luciferase reporter assay. LIFR, PTEN, NEO1 and SP110 were confirmed as targets for hsa-miR-548ba. Hsa-miR-7973 target genes ADAM19, PXDN and FMNL3 also passed all verification steps. Additionally, the expression pattern of the miRNAs was studied in human primary cumulus granulosa cell culture in relation to the expression of their host genes and FSH stimulation. Based on our findings we propose the involvement of hsa-miR-548ba in the regulation of follicle growth and activation via LIFR and PTEN. Hsa-miR-7973 may be implicated in the modulation of extracellular matrix and cell-cell interactions by regulating the expression of its identified targets.
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207
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Ayciriex S, Carrière R, Bardet C, Blanc JCYL, Salvador A, Fortin T, Lemoine J. Streamlined Development of Targeted Mass Spectrometry‐Based Method Combining Scout‐MRM and a Web‐Based Tool Indexed with Scout Peptides. Proteomics 2020; 20:e1900254. [DOI: 10.1002/pmic.201900254] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2019] [Revised: 12/10/2019] [Indexed: 11/12/2022]
Affiliation(s)
- Sophie Ayciriex
- Univ Lyon, CNRSUniversité Claude Bernard Lyon 1ENS de LyonInstitut des Sciences AnalytiquesUMR 5280 5 rue de la Doua F‐69100 Villeurbanne France
| | - Romain Carrière
- Univ Lyon, CNRSUniversité Claude Bernard Lyon 1ENS de LyonInstitut des Sciences AnalytiquesUMR 5280 5 rue de la Doua F‐69100 Villeurbanne France
| | - Chloé Bardet
- Anaquant 5 rue de la Doua F‐69100 Villeurbanne France
| | | | - Arnaud Salvador
- Univ Lyon, CNRSUniversité Claude Bernard Lyon 1ENS de LyonInstitut des Sciences AnalytiquesUMR 5280 5 rue de la Doua F‐69100 Villeurbanne France
| | - Tanguy Fortin
- Anaquant 5 rue de la Doua F‐69100 Villeurbanne France
| | - Jérôme Lemoine
- Univ Lyon, CNRSUniversité Claude Bernard Lyon 1ENS de LyonInstitut des Sciences AnalytiquesUMR 5280 5 rue de la Doua F‐69100 Villeurbanne France
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208
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In silico spectral libraries by deep learning facilitate data-independent acquisition proteomics. Nat Commun 2020; 11:146. [PMID: 31919359 PMCID: PMC6952453 DOI: 10.1038/s41467-019-13866-z] [Citation(s) in RCA: 94] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2019] [Accepted: 12/04/2019] [Indexed: 11/12/2022] Open
Abstract
Data-independent acquisition (DIA) is an emerging technology for quantitative proteomic analysis of large cohorts of samples. However, sample-specific spectral libraries built by data-dependent acquisition (DDA) experiments are required prior to DIA analysis, which is time-consuming and limits the identification/quantification by DIA to the peptides identified by DDA. Herein, we propose DeepDIA, a deep learning-based approach to generate in silico spectral libraries for DIA analysis. We demonstrate that the quality of in silico libraries predicted by instrument-specific models using DeepDIA is comparable to that of experimental libraries, and outperforms libraries generated by global models. With peptide detectability prediction, in silico libraries can be built directly from protein sequence databases. We further illustrate that DeepDIA can break through the limitation of DDA on peptide/protein detection, and enhance DIA analysis on human serum samples compared to the state-of-the-art protocol using a DDA library. We expect this work expanding the toolbox for DIA proteomics. Data-independent acquisition (DIA) is an emerging technology in proteomics but it typically relies on spectral libraries built by data-dependent acquisition (DDA). Here, the authors use deep learning to generate in silico spectral libraries directly from protein sequences that enable more comprehensive DIA experiments than DDA-based libraries.
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209
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Klingauf-Nerurkar P, Gillet LC, Portugal-Calisto D, Oborská-Oplová M, Jäger M, Schubert OT, Pisano A, Peña C, Rao S, Altvater M, Chang Y, Aebersold R, Panse VG. The GTPase Nog1 co-ordinates the assembly, maturation and quality control of distant ribosomal functional centers. eLife 2020; 9:52474. [PMID: 31909713 PMCID: PMC6968927 DOI: 10.7554/elife.52474] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2019] [Accepted: 12/20/2019] [Indexed: 01/08/2023] Open
Abstract
Eukaryotic ribosome precursors acquire translation competence in the cytoplasm through stepwise release of bound assembly factors, and proofreading of their functional centers. In case of the pre-60S, these steps include removal of placeholders Rlp24, Arx1 and Mrt4 that prevent premature loading of the ribosomal protein eL24, the protein-folding machinery at the polypeptide exit tunnel (PET), and the ribosomal stalk, respectively. Here, we reveal that sequential ATPase and GTPase activities license release factors Rei1 and Yvh1 to trigger Arx1 and Mrt4 removal. Drg1-ATPase activity removes Rlp24 from the GTPase Nog1 on the pre-60S; consequently, the C-terminal tail of Nog1 is extracted from the PET. These events enable Rei1 to probe PET integrity and catalyze Arx1 release. Concomitantly, Nog1 eviction from the pre-60S permits peptidyl transferase center maturation, and allows Yvh1 to mediate Mrt4 release for stalk assembly. Thus, Nog1 co-ordinates the assembly, maturation and quality control of distant functional centers during ribosome formation.
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Affiliation(s)
| | - Ludovic C Gillet
- Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland
| | | | - Michaela Oborská-Oplová
- Institute of Medical Microbiology, University of Zurich, Zurich, Switzerland.,Institute of Biochemistry, ETH Zurich, Zurich, Switzerland
| | - Martin Jäger
- Institute of Biochemistry, ETH Zurich, Zurich, Switzerland
| | - Olga T Schubert
- Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland
| | - Agnese Pisano
- Institute of Medical Microbiology, University of Zurich, Zurich, Switzerland
| | - Cohue Peña
- Institute of Medical Microbiology, University of Zurich, Zurich, Switzerland
| | - Sanjana Rao
- Institute of Medical Microbiology, University of Zurich, Zurich, Switzerland
| | | | - Yiming Chang
- Institute of Biochemistry, ETH Zurich, Zurich, Switzerland
| | - Ruedi Aebersold
- Institute of Medical Microbiology, University of Zurich, Zurich, Switzerland.,Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland
| | - Vikram G Panse
- Institute of Medical Microbiology, University of Zurich, Zurich, Switzerland
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210
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Kasvandik S, Saarma M, Kaart T, Rooda I, Velthut-Meikas A, Ehrenberg A, Gemzell K, Lalitkumar PG, Salumets A, Peters M. Uterine Fluid Proteins for Minimally Invasive Assessment of Endometrial Receptivity. J Clin Endocrinol Metab 2020; 105:5568227. [PMID: 31512719 DOI: 10.1210/clinem/dgz019] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2019] [Accepted: 09/04/2019] [Indexed: 11/19/2022]
Abstract
CONTEXT Clinically used endometrial (EM) receptivity assays are based on transcriptomic patterning of biopsies at midsecretory endometrium (MSE) to identify the possible displacement or disruption of window of implantation (WOI) in patients with recurrent implantation failure (RIF). However, biopsies are invasive and cannot be performed in the same cycle with in vitro fertilization embryo transfer, while uterine fluid (UF) analysis is considered minimally invasive and can immediately precede embryo transfer. OBJECTIVE To determine whether UF proteome can be used for WOI monitoring and whether it would highlight the etiology of RIF. PATIENTS Paired early secretory endometrial (ESE) and MSE UF samples from six fertile control women for discovery, and an additional 11 paired ESE/MSE samples from controls and 29 MSE samples from RIF patients for validation. RESULTS Using discovery mass spectrometry (MS) proteomics we detected 3158 proteins from secretory phase UF of which 367 undergo significant (q < 0.05) proteomic changes while transitioning from ESE to MSE. Forty-five proteins were further validated with targeted MS, and 21 were found to display similar levels between control ESE and RIF MSE, indicating displacement of the WOI. A panel of PGR, NNMT, SLC26A2 and LCN2 demonstrated specificity and sensitivity of 91.7% for distinguishing MSE from ESE samples. The same panel distinguished control MSE samples from RIF MSE with a 91.7% specificity and 96.6% sensitivity. CONCLUSION UF proteins can be used for estimating uterine receptivity with minimal invasiveness. Women with RIF appear to have altered MSE UF profiles that may contribute to their low IVF success rate.
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Affiliation(s)
- Sergo Kasvandik
- Proteomics Core Facility, Institute of Technology, University of Tartu, Tartu, Estonia
- Competence Centre on Health Technologies, Tartu, Estonia
| | - Merilin Saarma
- Proteomics Core Facility, Institute of Technology, University of Tartu, Tartu, Estonia
| | - Tanel Kaart
- Institute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, Tartu, Estonia
| | - Ilmatar Rooda
- Competence Centre on Health Technologies, Tartu, Estonia
- Department of Chemistry and Biotechnology, Tallinn University of Technology, Tallinn, Estonia
| | - Agne Velthut-Meikas
- Department of Chemistry and Biotechnology, Tallinn University of Technology, Tallinn, Estonia
| | | | - Kristina Gemzell
- Department of Women's and Children's Health, Karolinska Institutet/Karolinska University Hospital, Stockholm, Sweden
| | - Parameswaran Grace Lalitkumar
- Department of Women's and Children's Health, Karolinska Institutet/Karolinska University Hospital, Stockholm, Sweden
| | - Andres Salumets
- Competence Centre on Health Technologies, Tartu, Estonia
- Department of Obstetrics and Gynecology, University of Tartu, Tartu, Estonia
- Department of Biomedicine, University of Tartu, Tartu, Estonia
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Maire Peters
- Competence Centre on Health Technologies, Tartu, Estonia
- Department of Obstetrics and Gynecology, University of Tartu, Tartu, Estonia
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211
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Razi A, Davis JH, Hao Y, Jahagirdar D, Thurlow B, Basu K, Jain N, Gomez-Blanco J, Britton RA, Vargas J, Guarné A, Woodson SA, Williamson JR, Ortega J. Role of Era in assembly and homeostasis of the ribosomal small subunit. Nucleic Acids Res 2019; 47:8301-8317. [PMID: 31265110 PMCID: PMC6736133 DOI: 10.1093/nar/gkz571] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Revised: 06/11/2019] [Accepted: 06/27/2019] [Indexed: 01/23/2023] Open
Abstract
Assembly factors provide speed and directionality to the maturation process of the 30S subunit in bacteria. To gain a more precise understanding of how these proteins mediate 30S maturation, it is important to expand on studies of 30S assembly intermediates purified from bacterial strains lacking particular maturation factors. To reveal the role of the essential protein Era in the assembly of the 30S ribosomal subunit, we analyzed assembly intermediates that accumulated in Era-depleted Escherichia coli cells using quantitative mass spectrometry, high resolution cryo-electron microscopy and in-cell footprinting. Our combined approach allowed for visualization of the small subunit as it assembled and revealed that with the exception of key helices in the platform domain, all other 16S rRNA domains fold even in the absence of Era. Notably, the maturing particles did not stall while waiting for the platform domain to mature and instead re-routed their folding pathway to enable concerted maturation of other structural motifs spanning multiple rRNA domains. We also found that binding of Era to the mature 30S subunit destabilized helix 44 and the decoding center preventing binding of YjeQ, another assembly factor. This work establishes Era’s role in ribosome assembly and suggests new roles in maintaining ribosome homeostasis.
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Affiliation(s)
- Aida Razi
- Department of Anatomy and Cell Biology, McGill University, Montreal, Quebec H3A 0C7, Canada
| | - Joseph H Davis
- Department of Molecular Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.,Department of Chemistry and The Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.,Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Yumeng Hao
- T.C. Jenkins Department of Biophysics, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Dushyant Jahagirdar
- Department of Anatomy and Cell Biology, McGill University, Montreal, Quebec H3A 0C7, Canada
| | - Brett Thurlow
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario L8S4K1, Canada
| | - Kaustuv Basu
- Department of Anatomy and Cell Biology, McGill University, Montreal, Quebec H3A 0C7, Canada
| | - Nikhil Jain
- Department of Molecular Virology and Microbiology, Baylor College of Medicine,Houston, TX 77030, USA.,Center for Metagenomics and Microbiome Research, Baylor College of Medicine, Houston, TX 77030, USA
| | - Josue Gomez-Blanco
- Department of Anatomy and Cell Biology, McGill University, Montreal, Quebec H3A 0C7, Canada
| | - Robert A Britton
- Department of Molecular Virology and Microbiology, Baylor College of Medicine,Houston, TX 77030, USA.,Center for Metagenomics and Microbiome Research, Baylor College of Medicine, Houston, TX 77030, USA
| | - Javier Vargas
- Department of Anatomy and Cell Biology, McGill University, Montreal, Quebec H3A 0C7, Canada
| | - Alba Guarné
- Department of Biochemistry, McGill University, Montreal, Quebec H3G 0B1 Canada
| | - Sarah A Woodson
- T.C. Jenkins Department of Biophysics, Johns Hopkins University, Baltimore, MD 21218, USA
| | - James R Williamson
- Department of Molecular Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.,Department of Chemistry and The Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Joaquin Ortega
- Department of Anatomy and Cell Biology, McGill University, Montreal, Quebec H3A 0C7, Canada
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212
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Genereux JC. Mass spectrometric approaches for profiling protein folding and stability. ADVANCES IN PROTEIN CHEMISTRY AND STRUCTURAL BIOLOGY 2019; 118:111-144. [PMID: 31928723 DOI: 10.1016/bs.apcsb.2019.09.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Protein stability reports on protein homeostasis, function, and binding interactions, such as to other proteins, metabolites and drugs. As such, there is a pressing need for technologies that can report on protein stability. The ideal technique could be applied in vitro or in vivo systems, proteome-wide, independently of matrix, under native conditions, with residue-level resolution, and on protein at endogenous levels. Mass spectrometry has rapidly become a preferred technology for identifying and quantifying proteins. As such, it has been increasingly incorporated into methodologies for interrogating protein stability and folding. Although no single technology can satisfy all desired applications, several emerging approaches have shown outstanding success at providing biological insight into the stability of the proteome. This chapter outlines some of these recent emerging technologies.
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Affiliation(s)
- Joseph C Genereux
- Department of Chemistry, University of California, Riverside, CA, United States
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213
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214
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Zhong CQ, Wu R, Chen X, Wu S, Shuai J, Han J. Systematic Assessment of the Effect of Internal Library in Targeted Analysis of SWATH-MS. J Proteome Res 2019; 19:477-492. [DOI: 10.1021/acs.jproteome.9b00669] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Chuan-Qi Zhong
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cellular Signaling Network, School of Life Sciences, Xiamen University, Xiamen 361102, China
| | - Rui Wu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cellular Signaling Network, School of Life Sciences, Xiamen University, Xiamen 361102, China
| | - Xi Chen
- Medical Research Institute, Wuhan University, Wuhan 430072, China
- SpecAlly Life Technology Co., Ltd., Wuhan 430072, China
| | - Suqin Wu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cellular Signaling Network, School of Life Sciences, Xiamen University, Xiamen 361102, China
| | - Jianwei Shuai
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cellular Signaling Network, School of Life Sciences, Xiamen University, Xiamen 361102, China
- Department of Physics, Xiamen University, Xiamen 361005, China
| | - Jiahuai Han
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cellular Signaling Network, School of Life Sciences, Xiamen University, Xiamen 361102, China
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215
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Attenuation of Equine Lentivirus Alters Mitochondrial Protein Expression Profile from Inflammation to Apoptosis. J Virol 2019; 93:JVI.00653-19. [PMID: 31391270 DOI: 10.1128/jvi.00653-19] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Accepted: 07/23/2019] [Indexed: 12/18/2022] Open
Abstract
Equine infectious anemia virus (EIAV) is an equine lentivirus similar to HIV-1, targets host immune cells, and causes a life-long infection in horses. The Chinese live EIAV vaccine is attenuated from long-term passaging of a highly virulent strain in vitro The parent pathogenic strain (EIAVDLV34) induces a host inflammatory storm to cause severe pathological injury of animals. However, the vaccine strain (EIAVDLV121) induces a high level of apoptosis to eliminate infected cells. To investigate how these processes are regulated, we performed a comparative proteomics analysis and functional study in equine monocyte-derived macrophages (eMDMs) and found that the divergent mitochondrial protein expression profiles caused by EIAV strains with different virulence led to disparate mitochondrial function, morphology, and metabolism. This in turn promoted the distinct transformation of macrophage inflammatory polarization and intrinsic apoptosis. In EIAVDLV34-infected cells, a high level of glycolysis and increased mitochondrial fragmentation were induced, resulting in the M1-polarized proinflammatory-type transformation of macrophages and the subsequent production of a strong inflammatory response. Following infection with EIAVDLV121, the infected cells were transformed into M2-polarized anti-inflammatory macrophages by inhibition of glycolysis. In this case, a decrease in the mitochondrial membrane potential and impairment of the electron transport chain led to increased levels of apoptosis and reactive oxygen species. These results correlated with viral pathogenicity loss and may help provide an understanding of the key mechanism of lentiviral attenuation.IMPORTANCE Following viral infection, the working pattern and function of the cell can be transformed through the impact on mitochondria. It still unknown how the mitochondrial response changes in cells infected with viruses in the process of virulence attenuation. EIAVDLV121 is the only effective lentiviral vaccine for large-scale use in the world. EIAVDLV34 is the parent pathogenic strain. Unlike EIAVDLV34-induced inflammation storms, EIAVDLV121 can induce high levels of apoptosis. For the first time, we found that, after the mitochondrial protein expression profile is altered, EIAVDLV34-infected cells are transformed into M1-polarized-type macrophages and cause inflammatory injury and that the intrinsic apoptosis pathway is activated in EIAVDLV121-infected cells. These studies shed light on how the mitochondrial protein expression profile changes between cells infected by pathogenic lentivirus strains and cells infected by attenuated lentivirus strains to drive different cellular responses, especially from inflammation to apoptosis.
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216
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Guan S, Moran MF, Ma B. Prediction of LC-MS/MS Properties of Peptides from Sequence by Deep Learning. Mol Cell Proteomics 2019; 18:2099-2107. [PMID: 31249099 PMCID: PMC6773555 DOI: 10.1074/mcp.tir119.001412] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2019] [Revised: 06/10/2019] [Indexed: 11/06/2022] Open
Abstract
Deep learning models for prediction of three key LC-MS/MS properties from peptide sequences were developed. The LC-MS/MS properties or behaviors are indexed retention times (iRT), MS1 or survey scan charge state distributions, and sequence ion intensities of HCD spectra. A common core deep supervised learning architecture, bidirectional long-short term memory (LSTM) recurrent neural networks was used to construct the three prediction models. Two featurization schemes were proposed and demonstrated to allow for efficient encoding of modifications. The iRT and charge state distribution models were trained with on order of 105 data points each. An HCD sequence ion prediction model was trained with 2 × 106 experimental spectra. The iRT prediction model and HCD sequence ion prediction model provide improved accuracies over the start-of-the-art models available in literature. The MS1 charge state distribution prediction model offers excellent performance. The prediction models can be used to enhance peptide identification and quantification in data-dependent acquisition and data-independent acquisition (DIA) experiments as well as to assist MRM (multiple reaction monitoring) and PRM (parallel reaction monitoring) experiment design.
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Affiliation(s)
- Shenheng Guan
- David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, ON, N2L 3G1, Canada; Program in Cell Biology and SPARC BioCentre, Hospital for Sick Children, 686 Bay St, Toronto, ON, M5G 0A4, Canada.
| | - Michael F Moran
- Program in Cell Biology and SPARC BioCentre, Hospital for Sick Children, 686 Bay St, Toronto, ON, M5G 0A4, Canada; Department of Molecular Genetics, University of Toronto, 686 Bay St, Toronto, ON, M5G 0A4, Canada
| | - Bin Ma
- David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, ON, N2L 3G1, Canada
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217
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Huang M, Darvas M, Keene CD, Wang Y. Targeted Quantitative Proteomic Approach for High-Throughput Quantitative Profiling of Small GTPases in Brain Tissues of Alzheimer's Disease Patients. Anal Chem 2019; 91:12307-12314. [PMID: 31460748 PMCID: PMC6939614 DOI: 10.1021/acs.analchem.9b02485] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Neurodegenerative disorders, including Alzheimer's disease (AD), are prevalent among the elderly. Small GTPases of the Ras superfamily are essential regulators of intracellular trafficking and signal transduction. In this study, we develop a targeted quantification method for small GTPase proteins, where the method involves scheduled multiple-reaction monitoring analysis and the use of synthetic stable isotope-labeled peptides as internal standards or surrogate standards. We further applied this method to examine the altered expression of small GTPase proteins in post-mortem frontal cortex tissues from AD patients with different degrees of disease severity. We were able to achieve sensitive and reproducible quantifications of 80 small GTPases in brain tissue samples from 15 patients. Our results revealed substantial up-regulations of several synaptic GTPases, i.e., RAB3A/C, RAB4A/B, and RAB27B, in tissues from patients with higher degrees of AD pathology, suggesting that aberrant synaptic trafficking may modulate the progression of AD. The method should be generally applicable for high-throughput targeted quantification of small GTPase proteins in other tissue and cellular samples.
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Affiliation(s)
- Ming Huang
- Environmental Toxicology Graduate Program and Department of Chemistry, University of California, Riverside, California 92521, United States
| | - Martin Darvas
- Department of Pathology, University of Washington, Seattle, Washington 98104, United States
| | - C. Dirk Keene
- Department of Pathology, University of Washington, Seattle, Washington 98104, United States
| | - Yinsheng Wang
- Environmental Toxicology Graduate Program and Department of Chemistry, University of California, Riverside, California 92521, United States
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218
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Noor Z, Ranganathan S. Bioinformatics approaches for improving seminal plasma proteome analysis. Theriogenology 2019; 137:43-49. [PMID: 31186128 DOI: 10.1016/j.theriogenology.2019.05.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Reproduction efficiency of male animals is one of the key factors influencing the sustainability of livestock. Mass spectrometry (MS) based proteomics has become an important tool for studying seminal plasma proteomes. In this review, we summarize bioinformatics analysis strategies for current proteomics approaches, for identifying novel biomarkers of reproductive robustness.
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Affiliation(s)
- Zainab Noor
- Department of Molecular Sciences, Macquarie University, Sydney, Australia
| | - Shoba Ranganathan
- Department of Molecular Sciences, Macquarie University, Sydney, Australia.
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219
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Newhardt MF, Batushansky A, Matsuzaki S, Young ZT, West M, Chin NC, Szweda LI, Kinter M, Humphries KM. Enhancing cardiac glycolysis causes an increase in PDK4 content in response to short-term high-fat diet. J Biol Chem 2019; 294:16831-16845. [PMID: 31562244 DOI: 10.1074/jbc.ra119.010371] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2019] [Revised: 09/18/2019] [Indexed: 12/17/2022] Open
Abstract
The healthy heart has a dynamic capacity to respond and adapt to changes in nutrient availability. Metabolic inflexibility, such as occurs with diabetes, increases cardiac reliance on fatty acids to meet energetic demands, and this results in deleterious effects, including mitochondrial dysfunction, that contribute to pathophysiology. Enhancing glucose usage may mitigate metabolic inflexibility and be advantageous under such conditions. Here, we sought to identify how mitochondrial function and cardiac metabolism are affected in a transgenic mouse model of enhanced cardiac glycolysis (GlycoHi) basally and following a short-term (7-day) high-fat diet (HFD). GlycoHi mice constitutively express an active form of phosphofructokinase-2, resulting in elevated levels of the PFK-1 allosteric activator fructose 2,6-bisphosphate. We report that basally GlycoHi mitochondria exhibit augmented pyruvate-supported respiration relative to fatty acids. Nevertheless, both WT and GlycoHi mitochondria had a similar shift toward increased rates of fatty acid-supported respiration following HFD. Metabolic profiling by GC-MS revealed distinct features based on both genotype and diet, with a unique increase in branched-chain amino acids in the GlycoHi HFD group. Targeted quantitative proteomics analysis also supported both genotype- and diet-dependent changes in protein expression and uncovered an enhanced expression of pyruvate dehydrogenase kinase 4 (PDK4) in the GlycoHi HFD group. These results support a newly identified mechanism whereby the levels of fructose 2,6-bisphosphate promote mitochondrial PDK4 levels and identify a secondary adaptive response that prevents excessive mitochondrial pyruvate oxidation when glycolysis is sustained after a high-fat dietary challenge.
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Affiliation(s)
- Maria F Newhardt
- Aging and Metabolism Research Program, Oklahoma Medical Research Foundation, Oklahoma City, Oklahoma 73104.,Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma 73104
| | - Albert Batushansky
- Aging and Metabolism Research Program, Oklahoma Medical Research Foundation, Oklahoma City, Oklahoma 73104
| | - Satoshi Matsuzaki
- Aging and Metabolism Research Program, Oklahoma Medical Research Foundation, Oklahoma City, Oklahoma 73104
| | - Zachary T Young
- Aging and Metabolism Research Program, Oklahoma Medical Research Foundation, Oklahoma City, Oklahoma 73104
| | - Melinda West
- Aging and Metabolism Research Program, Oklahoma Medical Research Foundation, Oklahoma City, Oklahoma 73104
| | - Ngun Cer Chin
- Aging and Metabolism Research Program, Oklahoma Medical Research Foundation, Oklahoma City, Oklahoma 73104
| | - Luke I Szweda
- Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, Texas 75390-8573
| | - Michael Kinter
- Aging and Metabolism Research Program, Oklahoma Medical Research Foundation, Oklahoma City, Oklahoma 73104
| | - Kenneth M Humphries
- Aging and Metabolism Research Program, Oklahoma Medical Research Foundation, Oklahoma City, Oklahoma 73104 .,Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma 73104
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220
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Zhu Y, Weiss T, Zhang Q, Sun R, Wang B, Yi X, Wu Z, Gao H, Cai X, Ruan G, Zhu T, Xu C, Lou S, Yu X, Gillet L, Blattmann P, Saba K, Fankhauser CD, Schmid MB, Rutishauser D, Ljubicic J, Christiansen A, Fritz C, Rupp NJ, Poyet C, Rushing E, Weller M, Roth P, Haralambieva E, Hofer S, Chen C, Jochum W, Gao X, Teng X, Chen L, Zhong Q, Wild PJ, Aebersold R, Guo T. High-throughput proteomic analysis of FFPE tissue samples facilitates tumor stratification. Mol Oncol 2019; 13:2305-2328. [PMID: 31495056 PMCID: PMC6822243 DOI: 10.1002/1878-0261.12570] [Citation(s) in RCA: 88] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Revised: 08/09/2019] [Accepted: 09/03/2019] [Indexed: 11/06/2022] Open
Abstract
Formalin‐fixed, paraffin‐embedded (FFPE), biobanked tissue samples offer an invaluable resource for clinical and biomarker research. Here, we developed a pressure cycling technology (PCT)‐SWATH mass spectrometry workflow to analyze FFPE tissue proteomes and applied it to the stratification of prostate cancer (PCa) and diffuse large B‐cell lymphoma (DLBCL) samples. We show that the proteome patterns of FFPE PCa tissue samples and their analogous fresh‐frozen (FF) counterparts have a high degree of similarity and we confirmed multiple proteins consistently regulated in PCa tissues in an independent sample cohort. We further demonstrate temporal stability of proteome patterns from FFPE samples that were stored between 1 and 15 years in a biobank and show a high degree of the proteome pattern similarity between two types of histological regions in small FFPE samples, that is, punched tissue biopsies and thin tissue sections of micrometer thickness, despite the existence of a certain degree of biological variations. Applying the method to two independent DLBCL cohorts, we identified myeloperoxidase, a peroxidase enzyme, as a novel prognostic marker. In summary, this study presents a robust proteomic method to analyze bulk and biopsy FFPE tissues and reports the first systematic comparison of proteome maps generated from FFPE and FF samples. Our data demonstrate the practicality and superiority of FFPE over FF samples for proteome in biomarker discovery. Promising biomarker candidates for PCa and DLBCL have been discovered.
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Affiliation(s)
- Yi Zhu
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China.,Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Switzerland
| | - Tobias Weiss
- Department of Neurology and Brain Tumor Center, University Hospital Zurich, University of Zurich, Switzerland
| | - Qiushi Zhang
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Rui Sun
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Bo Wang
- Department of Pathology, The First Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou, China
| | - Xiao Yi
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Zhicheng Wu
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Huanhuan Gao
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Xue Cai
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Guan Ruan
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Tiansheng Zhu
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Chao Xu
- College of Mathematics and Informatics, Digital Fujian Institute of Big Data Security Technology, Fujian Normal University, Fuzhou, China
| | - Sai Lou
- Phase I Clinical Research Center, Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Xiaoyan Yu
- Department of Pathology, The Second Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou, China
| | - Ludovic Gillet
- Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Switzerland
| | - Peter Blattmann
- Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Switzerland
| | - Karim Saba
- Department of Urology, University Hospital Zurich, University of Zurich, Switzerland
| | | | - Michael B Schmid
- Department of Urology, University Hospital Zurich, University of Zurich, Switzerland
| | - Dorothea Rutishauser
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Switzerland
| | - Jelena Ljubicic
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Switzerland
| | - Ailsa Christiansen
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Switzerland
| | - Christine Fritz
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Switzerland
| | - Niels J Rupp
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Switzerland
| | - Cedric Poyet
- Department of Urology, University Hospital Zurich, University of Zurich, Switzerland
| | - Elisabeth Rushing
- Department of Neuropathology, University Hospital Zurich, University of Zurich, Switzerland
| | - Michael Weller
- Department of Neurology and Brain Tumor Center, University Hospital Zurich, University of Zurich, Switzerland
| | - Patrick Roth
- Department of Neurology and Brain Tumor Center, University Hospital Zurich, University of Zurich, Switzerland
| | - Eugenia Haralambieva
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Switzerland
| | - Silvia Hofer
- Division of Medical Oncology, Lucerne Cantonal Hospital and Cancer Center, Switzerland
| | | | - Wolfram Jochum
- Institute of Pathology, Cantonal Hospital St. Gallen, Switzerland
| | - Xiaofei Gao
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Xiaodong Teng
- Department of Pathology, The First Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou, China
| | - Lirong Chen
- Department of Pathology, The Second Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou, China
| | - Qing Zhong
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Switzerland.,Children's Medical Research Institute, University of Sydney, Australia
| | - Peter J Wild
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Switzerland.,Dr. Senckenberg Institute of Pathology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Ruedi Aebersold
- Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Switzerland.,Faculty of Science, University of Zurich, Switzerland
| | - Tiannan Guo
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China.,Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Switzerland
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221
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Miao W, Li L, Wang Y. High-Throughput Targeted Quantitative Analysis of the Interaction between HSP90 and Kinases. Anal Chem 2019; 91:11507-11509. [PMID: 31476117 DOI: 10.1021/acs.analchem.9b03320] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Kinases, which function in numerous cell signaling processes, are among the best characterized groups of client proteins for the 90-kDa heat shock protein (HSP90), a molecular chaperone that suppresses the aggregation and maintains the proper folding of its substrate proteins (i.e., clients). No high-throughput proteomic method, however, has been developed for the characterizations of the interactions between HSP90 and the human kinome. Herein, by employing a parallel-reaction monitoring (PRM)-based targeted proteomic method, we found that 99 out of the 249 detected kinase proteins display diminished expression in cultured human cells upon treatment with ganetespib, a small-molecule HSP90 inhibitor. PRM analysis of kinase proteins in the affinity pull-down samples showed that 86 out of the 120 detected kinases are enriched from the CRISPR-engineered cells where a tandem affinity tag was conjugated with the C-terminus of endogenous HSP90β protein over the parental cells. Together, our results from the two complementary quantitative proteomic experiments offer systematic characterizations about the HSP90-kinase interactions at the entire proteome scale and reveal extensive interactions between HSP90 and kinase proteins in human cells.
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Affiliation(s)
- Weili Miao
- Department of Chemistry , University of California Riverside , Riverside , California 92521-0403 , United States
| | - Lin Li
- Department of Chemistry , University of California Riverside , Riverside , California 92521-0403 , United States
| | - Yinsheng Wang
- Department of Chemistry , University of California Riverside , Riverside , California 92521-0403 , United States
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222
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Chen JC, Luu AR, Wise N, Angelis RD, Agrawal V, Mangini L, Vincelette J, Handyside B, Sterling H, Lo MJ, Wong H, Galicia N, Pacheco G, Van Vleet J, Giaramita A, Fong S, Roy SM, Hague C, Lawrence R, Bullens S, Christianson TM, d'Azzo A, Crawford BE, Bunting S, LeBowitz JH, Yogalingam G. Intracerebroventricular enzyme replacement therapy with β-galactosidase reverses brain pathologies due to GM1 gangliosidosis in mice. J Biol Chem 2019; 295:13532-13555. [PMID: 31481471 PMCID: PMC7521651 DOI: 10.1074/jbc.ra119.009811] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2019] [Revised: 08/10/2019] [Indexed: 01/16/2023] Open
Abstract
Autosomal recessive mutations in the galactosidase β1 (GLB1) gene cause lysosomal β-gal deficiency, resulting in accumulation of galactose-containing substrates and onset of the progressive and fatal neurodegenerative lysosomal storage disease, GM1 gangliosidosis. Here, an enzyme replacement therapy (ERT) approach in fibroblasts from GM1 gangliosidosis patients with recombinant human β-gal (rhβ-gal) produced in Chinese hamster ovary cells enabled direct and precise rhβ-gal delivery to acidified lysosomes. A single, low dose (3 nm) of rhβ-gal was sufficient for normalizing β-gal activity and mediating substrate clearance for several weeks. We found that rhβ-gal uptake by the fibroblasts is dose-dependent and saturable and can be competitively inhibited by mannose 6-phosphate, suggesting cation-independent, mannose 6-phosphate receptor–mediated endocytosis from the cell surface. A single intracerebroventricularly (ICV) administered dose of rhβ-gal (100 μg) resulted in broad bilateral biodistribution of rhβ-gal to critical regions of pathology in a mouse model of GM1 gangliosidosis. Weekly ICV dosing of rhβ-gal for 8 weeks substantially reduced brain levels of ganglioside and oligosaccharide substrates and reversed well-established secondary neuropathology. Of note, unlike with the ERT approach, chronic lentivirus-mediated GLB1 overexpression in the GM1 gangliosidosis patient fibroblasts caused accumulation of a prelysosomal pool of β-gal, resulting in activation of the unfolded protein response and endoplasmic reticulum stress. This outcome was unsurprising in light of our in vitro biophysical findings for rhβ-gal, which include pH-dependent and concentration-dependent stability and dynamic self-association. Collectively, our results highlight that ICV-ERT is an effective therapeutic intervention for managing GM1 gangliosidosis potentially more safely than with gene therapy approaches.
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Affiliation(s)
- Joseph C Chen
- Research, BioMarin Pharmaceutical, Inc., Novato, California 94949
| | - Amanda R Luu
- Research, BioMarin Pharmaceutical, Inc., Novato, California 94949
| | - Nathan Wise
- Research, BioMarin Pharmaceutical, Inc., Novato, California 94949
| | - Rolando De Angelis
- Process Sciences, BioMarin Pharmaceutical, Inc., Novato, California 94949
| | - Vishal Agrawal
- Research, BioMarin Pharmaceutical, Inc., Novato, California 94949
| | - Linley Mangini
- Research, BioMarin Pharmaceutical, Inc., Novato, California 94949
| | - Jon Vincelette
- Research, BioMarin Pharmaceutical, Inc., Novato, California 94949
| | - Britta Handyside
- Research, BioMarin Pharmaceutical, Inc., Novato, California 94949
| | - Harry Sterling
- Process Sciences, BioMarin Pharmaceutical, Inc., Novato, California 94949
| | - Melanie J Lo
- Research, BioMarin Pharmaceutical, Inc., Novato, California 94949
| | - Hio Wong
- Research, BioMarin Pharmaceutical, Inc., Novato, California 94949
| | - Nicole Galicia
- Research, BioMarin Pharmaceutical, Inc., Novato, California 94949
| | - Glenn Pacheco
- Research, BioMarin Pharmaceutical, Inc., Novato, California 94949
| | - Jeremy Van Vleet
- Research, BioMarin Pharmaceutical, Inc., Novato, California 94949
| | | | - Sylvia Fong
- Research, BioMarin Pharmaceutical, Inc., Novato, California 94949
| | - Sushmita M Roy
- Process Sciences, BioMarin Pharmaceutical, Inc., Novato, California 94949
| | - Chuck Hague
- Process Sciences, BioMarin Pharmaceutical, Inc., Novato, California 94949
| | - Roger Lawrence
- Research, BioMarin Pharmaceutical, Inc., Novato, California 94949
| | - Sherry Bullens
- Research, BioMarin Pharmaceutical, Inc., Novato, California 94949
| | | | - Alessandra d'Azzo
- Department of Genetics, St. Jude Children's Research Hospital, Memphis, Tennessee 38105
| | - Brett E Crawford
- Research, BioMarin Pharmaceutical, Inc., Novato, California 94949
| | - Stuart Bunting
- Research, BioMarin Pharmaceutical, Inc., Novato, California 94949
| | | | - Gouri Yogalingam
- Research, BioMarin Pharmaceutical, Inc., Novato, California 94949.
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223
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De Clerck L, Willems S, Noberini R, Restellini C, Van Puyvelde B, Daled S, Bonaldi T, Deforce D, Dhaenens M. hSWATH: Unlocking SWATH's Full Potential for an Untargeted Histone Perspective. J Proteome Res 2019; 18:3840-3849. [PMID: 31429292 DOI: 10.1021/acs.jproteome.9b00214] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Mass spectrometry (MS) has become the technique of choice for large-scale analysis of histone post-translational modifications (hPTMs) and their combinatorial patterns, especially in untargeted settings where novel discovery-driven hypotheses are being generated. However, MS-based histone analysis requires a distinct sample preparation, acquisition, and data analysis workflow when compared to traditional MS-based approaches. To this end, sequential window acquisition of all theoretical fragment ion spectra (SWATH) has great potential, as it allows for untargeted accurate identification and quantification of hPTMs. Here, we present a complete SWATH workflow specifically adapted for the untargeted study of histones (hSWATH). We assess its validity on a technical dataset of time-lapse deacetylation of a commercial histone extract using HDAC1, which contains a ground truth, i.e., acetylated substrate peptides reduce in intensity. We successfully apply this workflow in a biological setting and subsequently investigate the differential response to HDAC inhibition in different breast cancer cell lines.
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Affiliation(s)
- Laura De Clerck
- ProGenTomics, Laboratory of Pharmaceutical Biotechnology , Ghent University , 9000 Ghent , Belgium
| | - Sander Willems
- ProGenTomics, Laboratory of Pharmaceutical Biotechnology , Ghent University , 9000 Ghent , Belgium
| | - Roberta Noberini
- Department of Experimental Oncology, IEO , European Institute of Oncology IRCCS , 20141 Milan , Italy
| | - Camilla Restellini
- Department of Experimental Oncology, IEO , European Institute of Oncology IRCCS , 20141 Milan , Italy
| | - Bart Van Puyvelde
- ProGenTomics, Laboratory of Pharmaceutical Biotechnology , Ghent University , 9000 Ghent , Belgium
| | - Simon Daled
- ProGenTomics, Laboratory of Pharmaceutical Biotechnology , Ghent University , 9000 Ghent , Belgium
| | - Tiziana Bonaldi
- Department of Experimental Oncology, IEO , European Institute of Oncology IRCCS , 20141 Milan , Italy
| | - Dieter Deforce
- ProGenTomics, Laboratory of Pharmaceutical Biotechnology , Ghent University , 9000 Ghent , Belgium
| | - Maarten Dhaenens
- ProGenTomics, Laboratory of Pharmaceutical Biotechnology , Ghent University , 9000 Ghent , Belgium
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224
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O'Rourke MB, Town SEL, Dalla PV, Bicknell F, Koh Belic N, Violi JP, Steele JR, Padula MP. What is Normalization? The Strategies Employed in Top-Down and Bottom-Up Proteome Analysis Workflows. Proteomes 2019; 7:proteomes7030029. [PMID: 31443461 PMCID: PMC6789750 DOI: 10.3390/proteomes7030029] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Revised: 08/19/2019] [Accepted: 08/20/2019] [Indexed: 12/20/2022] Open
Abstract
The accurate quantification of changes in the abundance of proteins is one of the main applications of proteomics. The maintenance of accuracy can be affected by bias and error that can occur at many points in the experimental process, and normalization strategies are crucial to attempt to overcome this bias and return the sample to its regular biological condition, or normal state. Much work has been published on performing normalization on data post-acquisition with many algorithms and statistical processes available. However, there are many other sources of bias that can occur during experimental design and sample handling that are currently unaddressed. This article aims to cast light on the potential sources of bias and where normalization could be applied to return the sample to its normal state. Throughout we suggest solutions where possible but, in some cases, solutions are not available. Thus, we see this article as a starting point for discussion of the definition of and the issues surrounding the concept of normalization as it applies to the proteomic analysis of biological samples. Specifically, we discuss a wide range of different normalization techniques that can occur at each stage of the sample preparation and analysis process.
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Affiliation(s)
- Matthew B O'Rourke
- Bowel Cancer & Biomarker Lab, Northern Clinical School, Faculty of Medicine and Health, The University of Sydney Lvl 8, Kolling Institute. Royal North Shore Hospital, St. Leonards, NSW 2065, Australia
| | - Stephanie E L Town
- School of Life Sciences and Proteomics Core Facility, Faculty of Science, The University of Technology Sydney, Ultimo 2007, Australia
| | - Penelope V Dalla
- School of Life Sciences and Proteomics Core Facility, Faculty of Science, The University of Technology Sydney, Ultimo 2007, Australia
- Respiratory Cellular and Molecular Biology, Woolcock Institute of Medical Research, The University of Sydney, Glebe 2037, Australia
| | - Fiona Bicknell
- School of Life Sciences and Proteomics Core Facility, Faculty of Science, The University of Technology Sydney, Ultimo 2007, Australia
| | - Naomi Koh Belic
- School of Life Sciences and Proteomics Core Facility, Faculty of Science, The University of Technology Sydney, Ultimo 2007, Australia
| | - Jake P Violi
- School of Life Sciences and Proteomics Core Facility, Faculty of Science, The University of Technology Sydney, Ultimo 2007, Australia
| | - Joel R Steele
- School of Life Sciences and Proteomics Core Facility, Faculty of Science, The University of Technology Sydney, Ultimo 2007, Australia
| | - Matthew P Padula
- School of Life Sciences and Proteomics Core Facility, Faculty of Science, The University of Technology Sydney, Ultimo 2007, Australia.
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225
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Shao W, Pedrioli PGA, Wolski W, Scurtescu C, Schmid E, Vizcaíno JA, Courcelles M, Schuster H, Kowalewski D, Marino F, Arlehamn CSL, Vaughan K, Peters B, Sette A, Ottenhoff THM, Meijgaarden KE, Nieuwenhuizen N, Kaufmann SHE, Schlapbach R, Castle JC, Nesvizhskii AI, Nielsen M, Deutsch EW, Campbell DS, Moritz RL, Zubarev RA, Ytterberg AJ, Purcell AW, Marcilla M, Paradela A, Wang Q, Costello CE, Ternette N, van Veelen PA, van Els CACM, Heck AJR, de Souza GA, Sollid LM, Admon A, Stevanovic S, Rammensee HG, Thibault P, Perreault C, Bassani-Sternberg M, Aebersold R, Caron E. The SysteMHC Atlas project. Nucleic Acids Res 2019; 46:D1237-D1247. [PMID: 28985418 PMCID: PMC5753376 DOI: 10.1093/nar/gkx664] [Citation(s) in RCA: 106] [Impact Index Per Article: 21.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2017] [Accepted: 07/21/2017] [Indexed: 11/25/2022] Open
Abstract
Mass spectrometry (MS)-based immunopeptidomics investigates the repertoire of peptides presented at the cell surface by major histocompatibility complex (MHC) molecules. The broad clinical relevance of MHC-associated peptides, e.g. in precision medicine, provides a strong rationale for the large-scale generation of immunopeptidomic datasets and recent developments in MS-based peptide analysis technologies now support the generation of the required data. Importantly, the availability of diverse immunopeptidomic datasets has resulted in an increasing need to standardize, store and exchange this type of data to enable better collaborations among researchers, to advance the field more efficiently and to establish quality measures required for the meaningful comparison of datasets. Here we present the SysteMHC Atlas (https://systemhcatlas.org), a public database that aims at collecting, organizing, sharing, visualizing and exploring immunopeptidomic data generated by MS. The Atlas includes raw mass spectrometer output files collected from several laboratories around the globe, a catalog of context-specific datasets of MHC class I and class II peptides, standardized MHC allele-specific peptide spectral libraries consisting of consensus spectra calculated from repeat measurements of the same peptide sequence, and links to other proteomics and immunology databases. The SysteMHC Atlas project was created and will be further expanded using a uniform and open computational pipeline that controls the quality of peptide identifications and peptide annotations. Thus, the SysteMHC Atlas disseminates quality controlled immunopeptidomic information to the public domain and serves as a community resource toward the generation of a high-quality comprehensive map of the human immunopeptidome and the support of consistent measurement of immunopeptidomic sample cohorts.
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Affiliation(s)
- Wenguang Shao
- Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich 8093, Switzerland
| | - Patrick G A Pedrioli
- Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich 8093, Switzerland
| | - Witold Wolski
- Functional Genomics Center Zurich, ETH Zurich and University of Zurich, Zurich 8057, Switzerland
| | | | - Emanuel Schmid
- Scientific IT Services (SIS), ETH Zurich, Zurich 8093, Switzerland
| | - Juan A Vizcaíno
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Mathieu Courcelles
- Institute for Research in Immunology and Cancer, Université de Montréal, Montreal, H3T 1J4, Canada
| | - Heiko Schuster
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, 72076, Germany.,German Cancer Consortium (DKTK), DKFZ partner site Tübingen, Tübingen, 72076, Germany
| | - Daniel Kowalewski
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, 72076, Germany.,German Cancer Consortium (DKTK), DKFZ partner site Tübingen, Tübingen, 72076, Germany
| | - Fabio Marino
- Ludwig Institute for Cancer Research, University Hospital of Lausanne, Lausanne 1011, Switzerland.,Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, 3584 CH, The Netherlands.,Netherlands Proteomics Centre, Utrecht, 3584 CH, The Netherlands
| | | | - Kerrie Vaughan
- La Jolla Institute for Allergy and Immunology, La Jolla, CA 92037, USA
| | - Bjoern Peters
- La Jolla Institute for Allergy and Immunology, La Jolla, CA 92037, USA
| | - Alessandro Sette
- La Jolla Institute for Allergy and Immunology, La Jolla, CA 92037, USA
| | - Tom H M Ottenhoff
- Department of Infectious Diseases, Leiden University Medical Center, Leiden, 2333 ZA, The Netherlands
| | - Krista E Meijgaarden
- Department of Infectious Diseases, Leiden University Medical Center, Leiden, 2333 ZA, The Netherlands
| | - Natalie Nieuwenhuizen
- Department of Immunology, Max Planck Institute for Infection Biology, Berlin 10117, Germany
| | - Stefan H E Kaufmann
- Department of Immunology, Max Planck Institute for Infection Biology, Berlin 10117, Germany
| | - Ralph Schlapbach
- Functional Genomics Center Zurich, ETH Zurich and University of Zurich, Zurich 8057, Switzerland
| | - John C Castle
- Vaccine Research and Translational Medicine, Agenus Switzerland Inc., 4157 Basel, Switzerland
| | - Alexey I Nesvizhskii
- Department of Pathology, BRCF Metabolomics Core, University of Michigan, Ann Arbor, MI 48109, USA.,Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Morten Nielsen
- Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, Buenos Aires, 1650, Argentina.,Department of Bio and Health Informatics, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
| | | | | | | | - Roman A Zubarev
- Division of Physiological Chemistry I, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, SE-171 77, Sweden
| | - Anders Jimmy Ytterberg
- Division of Physiological Chemistry I, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, SE-171 77, Sweden.,Rheumatology Unit, Department of Medicine, Solna, Karolinska Institutet, Stockholm, SE-171 77, Sweden
| | - Anthony W Purcell
- Infection and Immunity Program, Department of Biochemistry and Molecular Biology, Monash Biomedicine Discovery Institute, Monash University, Clayton 3800, Australia
| | - Miguel Marcilla
- Proteomics Unit, Spanish National Biotechnology Centre, Madrid 28049, Spain
| | - Alberto Paradela
- Proteomics Unit, Spanish National Biotechnology Centre, Madrid 28049, Spain
| | - Qi Wang
- Center for Biomedical Mass Spectrometry, Department of Biochemistry, Boston University School of Medicine, Boston, MA 02118, USA
| | - Catherine E Costello
- Center for Biomedical Mass Spectrometry, Department of Biochemistry, Boston University School of Medicine, Boston, MA 02118, USA
| | - Nicola Ternette
- The Jenner Institute, Target Discovery Institute Mass Spectrometry Laboratory, University of Oxford, Oxford, OX3 7FZ, UK
| | - Peter A van Veelen
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, 2333 ZA, The Netherlands
| | - Cécile A C M van Els
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, 3720 BA, The Netherlands
| | - Albert J R Heck
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, 3584 CH, The Netherlands.,Netherlands Proteomics Centre, Utrecht, 3584 CH, The Netherlands
| | - Gustavo A de Souza
- Centre for Immune Regulation, Department of Immunology, University of Oslo and Oslo University Hospital-Rikshospitalet, Oslo 0372, Norway.,The Brain Institute, Universidade Federal do Rio Grande do Norte, 59056-450, Natal-RN, Brazil
| | - Ludvig M Sollid
- Centre for Immune Regulation, Department of Immunology, University of Oslo and Oslo University Hospital-Rikshospitalet, Oslo 0372, Norway
| | - Arie Admon
- Department of Biology, Technion, Israel Institute of Technology, Haifa 3200003, Israel
| | - Stefan Stevanovic
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, 72076, Germany.,German Cancer Consortium (DKTK), DKFZ partner site Tübingen, Tübingen, 72076, Germany
| | - Hans-Georg Rammensee
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, 72076, Germany.,German Cancer Consortium (DKTK), DKFZ partner site Tübingen, Tübingen, 72076, Germany
| | - Pierre Thibault
- Institute for Research in Immunology and Cancer, Université de Montréal, Montreal, H3T 1J4, Canada
| | - Claude Perreault
- Institute for Research in Immunology and Cancer, Université de Montréal, Montreal, H3T 1J4, Canada
| | - Michal Bassani-Sternberg
- Ludwig Institute for Cancer Research, University Hospital of Lausanne, Lausanne 1011, Switzerland
| | - Ruedi Aebersold
- Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich 8093, Switzerland.,Faculty of Science, University of Zurich, 8006 Zurich, Switzerland
| | - Etienne Caron
- Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich 8093, Switzerland
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226
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Green DR, Schulte F, Lee KH, Pugach MK, Hardt M, Bidlack FB. Mapping the Tooth Enamel Proteome and Amelogenin Phosphorylation Onto Mineralizing Porcine Tooth Crowns. Front Physiol 2019; 10:925. [PMID: 31417410 PMCID: PMC6682599 DOI: 10.3389/fphys.2019.00925] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Accepted: 07/09/2019] [Indexed: 01/13/2023] Open
Abstract
Tooth enamel forms in an ephemeral protein matrix where changes in protein abundance, composition and posttranslational modifications are critical to achieve healthy enamel properties. Amelogenin (AMELX) with its splice variants is the most abundant enamel matrix protein, with only one known phosphorylation site at serine 16 shown in vitro to be critical for regulating mineralization. The phosphorylated form of AMELX stabilizes amorphous calcium phosphate, while crystalline hydroxyapatite forms in the presence of the unphosphorylated protein. While AMELX regulates mineral transitions over space and time, it is unknown whether and when un-phosphorylated amelogenin occurs during enamel mineralization. This study aims to reveal the spatiotemporal distribution of the cleavage products of the most abundant AMLEX splice variants including the full length P173, the shorter leucine-rich amelogenin protein (LRAP), and the exon 4-containing P190 in forming enamel, all within the context of the changing enamel matrix proteome during mineralization. We microsampled permanent pig molars, capturing known stages of enamel formation from both crown surface and inner enamel. Nano-LC-MS/MS proteomic analyses after tryptic digestion rendered more than 500 unique protein identifications in enamel, dentin, and bone. We mapped collagens, keratins, and proteolytic enzymes (CTSL, MMP2, MMP10) and determined distributions of P173, LRAP, and P190 products, the enamel proteins enamelin (ENAM) and ameloblastin (AMBN), and matrix-metalloprotease-20 (MMP20) and kallikrein-4 (KLK4). All enamel proteins and KLK4 were near-exclusive to enamel and in excellent agreement with published abundance levels. Phosphorylated P173 and LRAP products decreased in abundance from recently deposited matrix toward older enamel, mirrored by increasing abundances of testicular acid phosphatase (ACPT). Our results showed that hierarchical clustering analysis of secretory enamel links closely matching distributions of unphosphorylated P173 and LRAP products with ACPT and non-traditional amelogenesis proteins, many associated with enamel defects. We report higher protein diversity than previously published and Gene Ontology (GO)-defined protein functions related to the regulation of mineral formation in secretory enamel (e.g., casein α-S1, CSN1S1), immune response in erupted enamel (e.g., peptidoglycan recognition protein, PGRP), and phosphorylation. This study presents a novel approach to characterize and study functional relationships through spatiotemporal mapping of the ephemeral extracellular matrix proteome.
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Affiliation(s)
- Daniel R Green
- The Forsyth Institute, Cambridge, MA, United States.,Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, United States
| | | | - Kyu-Ha Lee
- The Forsyth Institute, Cambridge, MA, United States.,Department of Oral Health Policy and Epidemiology, Harvard School of Dental Medicine, Boston, MA, United States
| | - Megan K Pugach
- The Forsyth Institute, Cambridge, MA, United States.,Department of Developmental Biology, Harvard School of Dental Medicine, Boston, MA, United States
| | - Markus Hardt
- The Forsyth Institute, Cambridge, MA, United States.,Department of Developmental Biology, Harvard School of Dental Medicine, Boston, MA, United States
| | - Felicitas B Bidlack
- The Forsyth Institute, Cambridge, MA, United States.,Department of Developmental Biology, Harvard School of Dental Medicine, Boston, MA, United States
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227
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Saleh S, Staes A, Deborggraeve S, Gevaert K. Targeted Proteomics for Studying Pathogenic Bacteria. Proteomics 2019; 19:e1800435. [DOI: 10.1002/pmic.201800435] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Revised: 06/04/2019] [Indexed: 02/04/2023]
Affiliation(s)
- Sara Saleh
- Department of Biomedical SciencesInstitute of Tropical Medicine B‐2000 Antwerp Belgium
- VIB Center for Medical Biotechnology B‐9000 Ghent Belgium
- Department of Biomolecular MedicineGhent University B‐9000 Ghent Belgium
| | - An Staes
- VIB Center for Medical Biotechnology B‐9000 Ghent Belgium
- Department of Biomolecular MedicineGhent University B‐9000 Ghent Belgium
| | - Stijn Deborggraeve
- Department of Biomedical SciencesInstitute of Tropical Medicine B‐2000 Antwerp Belgium
| | - Kris Gevaert
- VIB Center for Medical Biotechnology B‐9000 Ghent Belgium
- Department of Biomolecular MedicineGhent University B‐9000 Ghent Belgium
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228
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Tam LM, Huang M, Wang Y. Targeted Quantitative Proteomics Revealed Arsenite-induced Proteasomal Degradation of RhoB in Fibroblast Cells. Chem Res Toxicol 2019; 32:1343-1350. [PMID: 31140275 DOI: 10.1021/acs.chemrestox.9b00155] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Arsenic is a toxicant widely present in the environment. Previous epidemiological and animal studies support that arsenic exposure is associated with elevated incidences of lung and skin cancers. Therefore, it is important to understand the molecular mechanisms through which arsenite initiates malignant transformation of lung and skin tissues. Ras superfamily of small GTPases assumes a crucial role in many cellular processes including transcription, protein synthesis, and trafficking. In addition, small GTPase signaling is known to be altered in many types of cancer. By employing a multiple-reaction monitoring (MRM)-based targeted proteomic method, we found that the protein level of RhoB was substantially decreased in IMR90 human lung fibroblast cells upon a 12-h exposure to 5 μM NaAsO2. In addition, the protein level of ectopically expressed RhoB was found to decline in a dose-dependent manner upon arsenite exposure in HEK293T, HeLa, and GM00637 cells as well as that of endogenous RhoB protein in IMR90 cells. Moreover, the arsenite-elicited down-regulation of RhoB was found to arise from enhanced proteasomal degradation. Taken together, we demonstrated, for the first time, that exposure to arsenite could attenuate the protein expression of RhoB through proteasomal degradation.
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229
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Miao W, Yuan J, Li L, Wang Y. Parallel-Reaction-Monitoring-Based Proteome-Wide Profiling of Differential Kinase Protein Expression during Prostate Cancer Metastasis in Vitro. Anal Chem 2019; 91:9893-9900. [PMID: 31241916 DOI: 10.1021/acs.analchem.9b01561] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Prostate cancer is the most common type of cancer in men, and kinases are heavily pursued as drug targets for anticancer therapy. In this study, we applied our recently reported parallel-reaction-monitoring (PRM)-based targeted proteomic method to examine the reprogramming of the human kinome associated with bone metastasis of prostate cancer in vitro. The method displayed superior sensitivity over the shotgun-proteomic approach, and it facilitated the quantification of the relative expression of 276 kinase proteins in a pair of bone metastatic prostate cancer cells. Among the differentially expressed kinases, mitogen-activated protein kinase kinase kinase kinase 4 (MAP4K4) stimulates the migration and invasion of cultured prostate cancer cells, partially by modulating the activity of secreted matrix metalloproteinases 9 (MMP-9). We also found that the upregulation of MAP4K4 in metastatic prostate cancer cells is driven by the MYC proto-oncogene. Cumulatively, we identify MAP4K4 as a potential promoter for prostate cancer metastasis in vitro.
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230
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Amon S, Meier-Abt F, Gillet LC, Dimitrieva S, Theocharides APA, Manz MG, Aebersold R. Sensitive Quantitative Proteomics of Human Hematopoietic Stem and Progenitor Cells by Data-independent Acquisition Mass Spectrometry. Mol Cell Proteomics 2019; 18:1454-1467. [PMID: 30975897 PMCID: PMC6601215 DOI: 10.1074/mcp.tir119.001431] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Revised: 03/08/2019] [Indexed: 12/14/2022] Open
Abstract
Physiological processes in multicellular organisms depend on the function and interactions of specialized cell types operating in context. Some of these cell types are rare and thus obtainable only in minute quantities. For example, tissue-specific stem and progenitor cells are numerically scarce, but functionally highly relevant, and fulfill critical roles in development, tissue maintenance, and disease. Whereas low numbers of cells are routinely analyzed by genomics and transcriptomics, corresponding proteomic analyses have so far not been possible due to methodological limitations. Here we describe a sensitive and robust quantitative technique based on data-independent acquisition mass spectrometry. We quantified the proteome of sets of 25,000 human hematopoietic stem/multipotent progenitor cells (HSC/MPP) and three committed progenitor cell subpopulations of the myeloid differentiation pathway (common myeloid progenitors, megakaryocyte-erythrocyte progenitors, and granulocyte-macrophage progenitors), isolated by fluorescence-activated cell sorting from five healthy donors. On average, 5,851 protein groups were identified per sample. A subset of 4,131 stringently filtered protein groups was quantitatively compared across the 20 samples, defining unique signatures for each subpopulation. A comparison of proteomic and transcriptomic profiles indicated HSC/MPP-specific divergent regulation of biochemical functions such as telomerase maintenance and quiescence-inducing enzymes, including isocitrate dehydrogenases. These are essential for maintaining stemness and were detected at proteome, but not transcriptome, level. The method is equally applicable to almost any rare cell type, including healthy and cancer stem cells or physiologically and pathologically infiltrating cell populations. It thus provides essential new information toward the detailed biochemical understanding of cell development and functionality in health and disease.
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Affiliation(s)
- Sabine Amon
- From the ‡Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, 8093 Zurich, Switzerland
| | - Fabienne Meier-Abt
- From the ‡Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, 8093 Zurich, Switzerland;; §Hematology, University and University Hospital Zurich, 8091 Zurich, Switzerland
| | - Ludovic C Gillet
- From the ‡Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, 8093 Zurich, Switzerland
| | - Slavica Dimitrieva
- ¶Functional Genomics Center Zurich, ETH Zurich and University of Zurich, 8057 Zurich, Switzerland
| | | | - Markus G Manz
- §Hematology, University and University Hospital Zurich, 8091 Zurich, Switzerland
| | - Ruedi Aebersold
- From the ‡Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, 8093 Zurich, Switzerland;; ‖Faculty of Science, University of Zurich, 8057 Zurich, Switzerland.
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231
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Chen AT, Franks A, Slavov N. DART-ID increases single-cell proteome coverage. PLoS Comput Biol 2019; 15:e1007082. [PMID: 31260443 PMCID: PMC6625733 DOI: 10.1371/journal.pcbi.1007082] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2018] [Revised: 07/12/2019] [Accepted: 05/06/2019] [Indexed: 01/09/2023] Open
Abstract
Analysis by liquid chromatography and tandem mass spectrometry (LC-MS/MS) can identify and quantify thousands of proteins in microgram-level samples, such as those comprised of thousands of cells. This process, however, remains challenging for smaller samples, such as the proteomes of single mammalian cells, because reduced protein levels reduce the number of confidently sequenced peptides. To alleviate this reduction, we developed Data-driven Alignment of Retention Times for IDentification (DART-ID). DART-ID implements principled Bayesian frameworks for global retention time (RT) alignment and for incorporating RT estimates towards improved confidence estimates of peptide-spectrum-matches. When applied to bulk or to single-cell samples, DART-ID increased the number of data points by 30-50% at 1% FDR, and thus decreased missing data. Benchmarks indicate excellent quantification of peptides upgraded by DART-ID and support their utility for quantitative analysis, such as identifying cell types and cell-type specific proteins. The additional datapoints provided by DART-ID boost the statistical power and double the number of proteins identified as differentially abundant in monocytes and T-cells. DART-ID can be applied to diverse experimental designs and is freely available at http://dart-id.slavovlab.net.
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Affiliation(s)
- Albert Tian Chen
- Department of Bioengineering, Northeastern University, Boston, Massachusetts, United States of America
- Barnett Institute, Northeastern University, Boston, Massachusetts, United States of America
| | - Alexander Franks
- Department of Statistics and Applied Probability, University of California Santa Barbara, California, United States of America
| | - Nikolai Slavov
- Department of Bioengineering, Northeastern University, Boston, Massachusetts, United States of America
- Barnett Institute, Northeastern University, Boston, Massachusetts, United States of America
- Department of Biology, Northeastern University, Boston, Massachusetts, United States of America
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232
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Abundance of bacterial Type VI secretion system components measured by targeted proteomics. Nat Commun 2019; 10:2584. [PMID: 31197144 PMCID: PMC6565705 DOI: 10.1038/s41467-019-10466-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2018] [Accepted: 05/13/2019] [Indexed: 12/31/2022] Open
Abstract
The Type VI secretion system (T6SS) is important for bacterial competition as well as virulence in many Gram-negative bacteria and its dynamics and regulation varies significantly between species. To gain insights into the mechanisms regulating T6SS assembly, we apply targeted proteomics to determine the abundance of the key T6SS components in Vibrio cholerae, Pseudomonas aeruginosa and Acinetobacter baylyi. We show that while there are species specific exceptions, the abundance of most components is similar in all three bacteria and ranges from less than hundred to tens of thousands of copies per cell. The comparison of T6SS dynamics and protein abundance in V. cholerae grown under various conditions suggests that the critical component TssE and the secreted protein VasX are unstable and this diminishes T6SS assembly when protein synthesis is limited. Our quantitative analysis opens possibilities to build realistic models of T6SS assembly and to identify principles of T6SS regulation in various species. Type VI secretion systems (T6SS) are important for bacterial interaction, competition and virulence, but the abundance and assembly of their components is still not well understood. Here, the authors apply targeted proteomics to measure the abundance of T6SS components across different species and conditions.
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233
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Mun DG, Nam D, Kim H, Pandey A, Lee SW. Accurate Precursor Mass Assignment Improves Peptide Identification in Data-Independent Acquisition Mass Spectrometry. Anal Chem 2019; 91:8453-8460. [DOI: 10.1021/acs.analchem.9b01474] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Affiliation(s)
- Dong-Gi Mun
- Department of Chemistry, Center for Proteogenome Research, Korea University, Seoul 136-701, Republic of Korea
| | - Dowoon Nam
- Department of Chemistry, Center for Proteogenome Research, Korea University, Seoul 136-701, Republic of Korea
| | - Hokeun Kim
- Department of Chemistry, Center for Proteogenome Research, Korea University, Seoul 136-701, Republic of Korea
| | - Akhilesh Pandey
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota 55902, United States
- Manipal Academy of Higher Education (MAHE), Manipal, 576104 Karnataka, India
| | - Sang-Won Lee
- Department of Chemistry, Center for Proteogenome Research, Korea University, Seoul 136-701, Republic of Korea
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234
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Huang M, Wang Y. Targeted Quantitative Proteomic Approach for Probing Altered Protein Expression of Small GTPases Associated with Colorectal Cancer Metastasis. Anal Chem 2019; 91:6233-6241. [PMID: 30943010 PMCID: PMC6506370 DOI: 10.1021/acs.analchem.9b00938] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Genes encoding the small GTPases of the Ras superfamily are among the most frequently mutated or dysregulated in human cancer. No systematic studies, however, have yet been conducted for assessing the implications of small GTPases in the metastatic transformation of colorectal cancer (CRC). By utilizing a recently established high-throughput multiple-reaction monitoring (MRM)-based workflow together with stable isotope labeling by amino acids in cell culture (SILAC), we investigated comprehensively the relative expression of the small GTPase proteome in a pair of matched primary/metastatic CRC cell lines (SW480/SW620). Among the 83 quantified small GTPases, 25 exhibited at least a 1.5-fold difference in protein expression in SW480 and SW620 cells. In particular, SAR1B protein was found to be substantially down-regulated in SW620 relative to SW480 cells. In addition, bioinformatic analyses revealed that diminished SAR1B mRNA expression is significantly associated with higher CRC stages and unfavorable patient prognosis, in support of a potential role of SAR1B in suppressing CRC metastasis. In addition, diminished SAR1B expression could stimulate epithelial-mesenchymal transition (EMT), thereby promoting motility and in vitro metastasis of SW480 cells. In summary, we profiled systematically, by employing an MRM-based targeted proteomic method, the differential expression of small GTPase proteins in a matched pair of primary/metastatic CRC cell lines. Our results revealed the potential roles of SAR1B in suppressing CRC metastasis and in the prognosis of CRC patients.
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Affiliation(s)
- Ming Huang
- Environmental Toxicology Graduate Program, University of California at Riverside, Riverside, California 92521-0403, United States
| | - Yinsheng Wang
- Environmental Toxicology Graduate Program, University of California at Riverside, Riverside, California 92521-0403, United States
- Department of Chemistry, University of California at Riverside, Riverside, California 92521-0403, United States
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235
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Zhao M, Liu X, Sun H, Guo Z, Liu X, Sun W. Evaluation of Urinary Proteome Library Generation Methods on Data‐Independent Acquisition MS Analysis and its Application in Normal Urinary Proteome Analysis. Proteomics Clin Appl 2019; 13:e1800152. [DOI: 10.1002/prca.201800152] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2018] [Revised: 01/04/2019] [Indexed: 11/10/2022]
Affiliation(s)
- Mindi Zhao
- Department of Laboratory MedicineBeijing HospitalNational Center of Gerontology Beijing 100730 China
| | - Xiang Liu
- Core Facility of InstrumentInstitute of Basic Medical SciencesChinese Academy of Medical SciencesSchool of Basic MedicinePeking Union Medical College Beijing 100005 China
| | - Haidan Sun
- Core Facility of InstrumentInstitute of Basic Medical SciencesChinese Academy of Medical SciencesSchool of Basic MedicinePeking Union Medical College Beijing 100005 China
| | - Zhengguang Guo
- Core Facility of InstrumentInstitute of Basic Medical SciencesChinese Academy of Medical SciencesSchool of Basic MedicinePeking Union Medical College Beijing 100005 China
| | - Xiaoyan Liu
- Core Facility of InstrumentInstitute of Basic Medical SciencesChinese Academy of Medical SciencesSchool of Basic MedicinePeking Union Medical College Beijing 100005 China
| | - Wei Sun
- Core Facility of InstrumentInstitute of Basic Medical SciencesChinese Academy of Medical SciencesSchool of Basic MedicinePeking Union Medical College Beijing 100005 China
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236
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Miao W, Wang Y. Quantitative Interrogation of the Human Kinome Perturbed by Two BRAF Inhibitors. J Proteome Res 2019; 18:2624-2631. [PMID: 30994353 DOI: 10.1021/acs.jproteome.9b00134] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Oncogenic BRAF mutations contribute to the development of a number of cancers, and small-molecule BRAF inhibitors have been approved by the Food and Drug Administration (FDA) for anticancer therapy. In this study, we employed two targeted quantitative proteomics approaches for monitoring separately the alterations in protein expression and ATP binding affinities of kinases in cultured human melanoma cells elicited by two FDA-approved small-molecule BRAF inhibitors, dabrafenib and vemurafenib. Our results showed that treatment with the two inhibitors led to markedly different reprograming of the human kinome. Furthermore, we confirmed that vemurafenib could compromise the ATP binding capacity of MAP2K5 in vitro and inhibit its kinase activity in cells. Together, our targeted quantitative proteomic methods revealed profound changes in expression levels of kinase proteins in cultured melanoma cells upon treatment with clinically used BRAF inhibitors and led to the discovery of novel putative target kinases for these inhibitors.
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Affiliation(s)
- Weili Miao
- Department of Chemistry , University of California , Riverside , California 92521-0403 , United States
| | - Yinsheng Wang
- Department of Chemistry , University of California , Riverside , California 92521-0403 , United States
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237
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Fert-Bober J, Venkatraman V, Hunter CL, Liu R, Crowgey EL, Pandey R, Holewinski RJ, Stotland A, Berman BP, Van Eyk JE. Mapping Citrullinated Sites in Multiple Organs of Mice Using Hypercitrullinated Library. J Proteome Res 2019; 18:2270-2278. [PMID: 30990720 PMCID: PMC10363406 DOI: 10.1021/acs.jproteome.9b00118] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Protein citrullination (or deimination), an irreversible post-translational modification, has been implicated in several physiological and pathological processes, including gene expression regulation, apoptosis, rheumatoid arthritis, and Alzheimer's disease. Several research studies have been carried out on citrullination under many conditions. However, until now, challenges in sample preparation and data analysis have made it difficult to confidently identify a citrullinated protein and assign the citrullinated site. To overcome these limitations, we generated a mouse hyper-citrullinated spectral library and set up coordinates to confidently identify and validate citrullinated sites. Using this workflow, we detect a four-fold increase in citrullinated proteome coverage across six mouse organs compared with the current state-of-the art techniques. Our data reveal that the subcellular distribution of citrullinated proteins is tissue-type-dependent and that citrullinated targets are involved in fundamental physiological processes, including the metabolic process. These data represent the first report of a hyper-citrullinated library for the mouse and serve as a central resource for exploring the role of citrullination in this organism.
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Affiliation(s)
- Justyna Fert-Bober
- The Smidt Heart Institute, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| | - Vidya Venkatraman
- The Smidt Heart Institute, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| | | | - Ruining Liu
- The Smidt Heart Institute, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| | - Erin L. Crowgey
- Nemours Biomedical Research, Nemours - Alfred I. duPont Hospital for Children, Wilmington, Delaware 19803, United States
| | - Rakhi Pandey
- The Smidt Heart Institute, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| | - Ronald J. Holewinski
- The Smidt Heart Institute, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| | - Aleksandr Stotland
- The Smidt Heart Institute, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| | - Benjamin P. Berman
- Bioinformatics and Computational Biology Research Center, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| | - Jennifer E. Van Eyk
- The Smidt Heart Institute, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
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238
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Miao W, Wang Y. Targeted Quantitative Kinome Analysis Identifies PRPS2 as a Promoter for Colorectal Cancer Metastasis. J Proteome Res 2019; 18:2279-2286. [PMID: 30908912 DOI: 10.1021/acs.jproteome.9b00119] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Kinases are among the most important families of enzymes involved in cell signaling. In this study, we employed a recently developed parallel-reaction monitoring (PRM)-based targeted proteomic method to examine the reprogramming of the human kinome during colorectal cancer (CRC) metastasis. We were able to quantify the relative expression of 299 kinase proteins in a pair of matched primary/metastatic CRC cell lines. We also found that, among the differentially expressed kinases, phosphoribosyl pyrophosphate synthetase 2 (PRPS2) promotes the migration and invasion of cultured CRC cells through regulating the activity of matrix metalloproteinase 9 (MMP-9) and the expression of E-cadherin. Moreover, we found that the up-regulation of PRPS2 in metastatic CRC cells could be induced by the MYC proto-oncogene. Together, our unbiased kinome profiling approach led to the identification, for the first time, of PRPS2 as a promoter for CRC metastasis.
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Affiliation(s)
- Weili Miao
- Department of Chemistry , University of California , Riverside , California 92521-0403 , United States
| | - Yinsheng Wang
- Department of Chemistry , University of California , Riverside , California 92521-0403 , United States
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239
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Gupta S, Ahadi S, Zhou W, Röst H. DIAlignR Provides Precise Retention Time Alignment Across Distant Runs in DIA and Targeted Proteomics. Mol Cell Proteomics 2019; 18:806-817. [PMID: 30705124 PMCID: PMC6442363 DOI: 10.1074/mcp.tir118.001132] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Revised: 12/25/2018] [Indexed: 01/30/2023] Open
Abstract
Sequential Windowed Acquisition of All Theoretical Fragment Ion Mass Spectra (SWATH-MS) is widely used for proteomics analysis given its high throughput and reproducibility, but ensuring consistent quantification of analytes across large-scale studies of heterogeneous samples such as human plasma remains challenging. Heterogeneity in large-scale studies can be caused by large time intervals between data acquisition, acquisition by different operators or instruments, and intermittent repair or replacement of parts, such as the liquid chromatography column, all of which affect retention time (RT) reproducibility and, successively, performance of SWATH-MS data analysis. Here, we present a novel algorithm for RT alignment of SWATH-MS data based on direct alignment of raw MS2 chromatograms using a hybrid dynamic programming approach. The algorithm does not impose a chronological order of elution and allows for alignment of elution-order-swapped peaks. Furthermore, allowing RT mapping in a certain window around a coarse global fit makes it robust against noise. On a manually validated dataset, this strategy outperformed the current state-of-the-art approaches. In addition, on real-world clinical data, our approach outperformed global alignment methods by mapping 98% of peaks compared with 67% cumulatively. DIAlignR reduced alignment error up to 30-fold for extremely distant runs. The robustness of technical parameters used in this pairwise alignment strategy is also demonstrated. The source code is released under the BSD license at https://github.com/Roestlab/DIAlignR.
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Affiliation(s)
- Shubham Gupta
- From the ‡Department of Molecular Genetics, University of Toronto, Toronto, ON M5G 1A8, Canada;; The Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON M5S 3E1, Canada
| | - Sara Ahadi
- ¶Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305
| | - Wenyu Zhou
- ¶Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305
| | - Hannes Röst
- From the ‡Department of Molecular Genetics, University of Toronto, Toronto, ON M5G 1A8, Canada;; The Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON M5S 3E1, Canada;.
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240
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Miao W, Guo L, Wang Y. Imatinib-Induced Changes in Protein Expression and ATP-Binding Affinities of Kinases in Chronic Myelocytic Leukemia Cells. Anal Chem 2019; 91:3209-3214. [PMID: 30773012 DOI: 10.1021/acs.analchem.9b00289] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Kinases are crucial components in numerous cell signaling pathways. Aberrant expression and activation of protein kinases are known to be accompanied by many types of cancer, and more than 30 small-molecule kinase inhibitors have been approved by the Food and Drug Administration (FDA) for cancer chemotherapy. Biological and clinical applications of small-molecule kinase inhibitors require comprehensive characterizations about how these inhibitors modulate the protein expression and activities of kinases at the entire proteome scale. In this study, we developed a parallel-reaction monitoring (PRM)-based targeted proteomic method to monitor the alterations in protein expression of kinases in K-562 chronic myelocytic leukemia (CML) cells elicited by treatment with imatinib, an ABL kinase inhibitor approved by the FDA for CML treatment. By employing isotope-coded ATP affinity probes together with liquid chromatography-multiple-reaction monitoring (LC-MRM) analysis, we also examined the modulation of the ATP-binding affinities of kinases induced by imatinib treatment. The results revealed profound increases in protein expression levels of a large number of kinases in K-562 cells upon treatment with imatinib, which is accompanied by substantial decreases in ATP-binding capacities of many kinases. Apart from ABL kinases, we identified a number of other kinases whose ATP-binding affinities are markedly diminished upon imatinib treatment, including CHK1, a checkpoint kinase involved in DNA damage response signaling. Together, our targeted quantitative proteomic methods enabled, for the first time, dual assessments of small-molecule kinase inhibitor-induced changes in protein expression and ATP-binding affinities of kinases in live cells.
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241
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iTRAQ-based pharmacoproteomics reveals potential targets of berberine, a promising therapy for ulcerative colitis. Eur J Pharmacol 2019; 850:167-179. [PMID: 30771347 DOI: 10.1016/j.ejphar.2019.02.021] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2018] [Revised: 02/13/2019] [Accepted: 02/13/2019] [Indexed: 12/18/2022]
Abstract
Previous studies by us and others have indicated that berberine is a promising therapy for ulcerative colitis (UC). However, the mechanisms of UC and the therapeutic targets of berberine are poorly understood. iTRAQ-based proteomics was utilized to characterize the proteins and pathways associated with the development of colitis and its improvement after berberine treatment. By using a modified dextran sodium sulfate (DSS) colitis as the UC model, confirmed that berberine significantly attenuated clinical symptoms and colon shorting of the colitis mice. Proteomics identified 140 and 391 proteins that were differentially expressed in the colons of DSS- or DSS plus berberine-treated mice, respectively. Subsequent verification of 15 selected differentially expressed proteins (DEPs) by multiple reaction monitoring confirmed the reliability of the iTRAQ data. Further comparisons and bioinformatics analysis demonstrated that among the identified DEPs, 26, including Hist2h2be, Tubb3, and five immunoglobulins, were oppositely regulated by DSS and DSS plus berberine treatments. In addition, five commonly dysregulated pathways, including natural killer cell-mediated cytotoxicity and RRAR signaling were identified. Network analysis revealed that proteins involved in 7 and 11 pathways in DSS and DSS plus berberine treated mice, respectively, engaged in protein-protein interactions. Our study provides the first pharmacoproteomics profiling of colitis and its recovery after berberine treatment. The proteins, pathways and networks identified provide novel insights into the pathogenesis of colitis and the action mechanism of berberine, demonstrating their values for validation in human UC which could serve as targets for the development of novel therapies for UC.
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242
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Chen Y, Vu J, Thompson MG, Sharpless WA, Chan LJG, Gin JW, Keasling JD, Adams PD, Petzold CJ. A rapid methods development workflow for high-throughput quantitative proteomic applications. PLoS One 2019; 14:e0211582. [PMID: 30763335 PMCID: PMC6375547 DOI: 10.1371/journal.pone.0211582] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Accepted: 01/16/2019] [Indexed: 12/13/2022] Open
Abstract
Recent improvements in the speed and sensitivity of liquid chromatography-mass spectrometry systems have driven significant progress toward system-wide characterization of the proteome of many species. These efforts create large proteomic datasets that provide insight into biological processes and identify diagnostic proteins whose abundance changes significantly under different experimental conditions. Yet, these system-wide experiments are typically the starting point for hypothesis-driven, follow-up experiments to elucidate the extent of the phenomenon or the utility of the diagnostic marker, wherein many samples must be analyzed. Transitioning from a few discovery experiments to quantitative analyses on hundreds of samples requires significant resources both to develop sensitive and specific methods as well as analyze them in a high-throughput manner. To aid these efforts, we developed a workflow using data acquired from discovery proteomic experiments, retention time prediction, and standard-flow chromatography to rapidly develop targeted proteomic assays. We demonstrated this workflow by developing MRM assays to quantify proteins of multiple metabolic pathways from multiple microbes under different experimental conditions. With this workflow, one can also target peptides in scheduled/dynamic acquisition methods from a shotgun proteomic dataset downloaded from online repositories, validate with appropriate control samples or standard peptides, and begin analyzing hundreds of samples in only a few minutes.
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Affiliation(s)
- Yan Chen
- Joint BioEnergy Institute, Lawrence Berkeley National Laboratory, Emeryville, CA, United States of America
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States of America
| | - Jonathan Vu
- Joint BioEnergy Institute, Lawrence Berkeley National Laboratory, Emeryville, CA, United States of America
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States of America
| | - Mitchell G. Thompson
- Joint BioEnergy Institute, Lawrence Berkeley National Laboratory, Emeryville, CA, United States of America
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States of America
- Department of Plant and Microbial Biology, University of California, Berkeley, CA, United States of America
| | - William A. Sharpless
- Joint BioEnergy Institute, Lawrence Berkeley National Laboratory, Emeryville, CA, United States of America
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States of America
| | - Leanne Jade G. Chan
- Joint BioEnergy Institute, Lawrence Berkeley National Laboratory, Emeryville, CA, United States of America
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States of America
| | - Jennifer W. Gin
- Joint BioEnergy Institute, Lawrence Berkeley National Laboratory, Emeryville, CA, United States of America
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States of America
| | - Jay D. Keasling
- Joint BioEnergy Institute, Lawrence Berkeley National Laboratory, Emeryville, CA, United States of America
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States of America
- Department of Bioengineering, University of California Berkeley, Berkeley, CA, United States of America
- Department of Chemical and Biomolecular Engineering, University of California, Berkeley, CA, United States of America
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Lyngby, Denmark
| | - Paul D. Adams
- Joint BioEnergy Institute, Lawrence Berkeley National Laboratory, Emeryville, CA, United States of America
- Department of Bioengineering, University of California Berkeley, Berkeley, CA, United States of America
- Molecular Biophysics and Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA, United States of America
| | - Christopher J. Petzold
- Joint BioEnergy Institute, Lawrence Berkeley National Laboratory, Emeryville, CA, United States of America
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States of America
- * E-mail:
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243
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Generation of a zebrafish SWATH-MS spectral library to quantify 10,000 proteins. Sci Data 2019; 6:190011. [PMID: 30747917 PMCID: PMC6371892 DOI: 10.1038/sdata.2019.11] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Accepted: 12/17/2018] [Indexed: 12/12/2022] Open
Abstract
Sequential window acquisition of all theoretical mass spectra (SWATH-MS) requires a spectral library to extract quantitative measurements from the mass spectrometry data acquired in data-independent acquisition mode (DIA). Large combined spectral libraries containing SWATH assays have been generated for humans and several other organisms, but so far no publicly available library exists for measuring the proteome of zebrafish, a rapidly emerging model system in biomedical research. Here, we present a large zebrafish SWATH spectral library to measure the abundance of 104,185 proteotypic peptides from 10,405 proteins. The library includes proteins expressed in 9 different zebrafish tissues (brain, eye, heart, intestine, liver, muscle, ovary, spleen, and testis) and provides an important new resource to quantify 40% of the protein-coding zebrafish genes. We employ this resource to quantify the proteome across brain, muscle, and liver and characterize divergent expression levels of paralogous proteins in different tissues. Data are available via ProteomeXchange (PXD010876, PXD010869) and SWATHAtlas (PASS01237).
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244
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Arora A, Somasundaram K. Targeted Proteomics Comes to the Benchside and the Bedside: Is it Ready for Us? Bioessays 2019; 41:e1800042. [PMID: 30734933 DOI: 10.1002/bies.201800042] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2018] [Revised: 11/28/2018] [Indexed: 12/22/2022]
Abstract
While mass spectrometry (MS)-based quantification of small molecules has been successfully used for decades, targeted MS has only recently been used by the proteomics community to investigate clinical questions such as biomarker verification and validation. Targeted MS holds the promise of a paradigm shift in the quantitative determination of proteins. Nevertheless, targeted quantitative proteomics requires improvisation in making sample processing, instruments, and data analysis more accessible. In the backdrop of the genomic era reaching its zenith, certain questions arise: is the proteomic era about to come? If we are at the beginning of a new future for protein quantification, are we prepared to incorporate targeted proteomics at the benchside for basic research and at the bedside for the good of patients? Here, an overview of the knowledge required to perform targeted proteomics as well as its applications is provided. A special emphasis is placed on upcoming areas such as peptidomics, proteoform research, and mass spectrometry imaging, where the utilization of targeted proteomics is expected to bring forth new avenues. The limitations associated with the acceptance of this technique for mainstream usage are also highlighted. Also see the video abstract here https://youtu.be/mieB47B8gZw.
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Affiliation(s)
- Anjali Arora
- Department of Microbiology and Cell Biology, Indian Institute of Science, Bangalore, 560012, India
| | - Kumaravel Somasundaram
- Department of Microbiology and Cell Biology, Indian Institute of Science, Bangalore, 560012, India
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245
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Miao W, Fan M, Huang M, Li JJ, Wang Y. Targeted Profiling of Heat Shock Proteome in Radioresistant Breast Cancer Cells. Chem Res Toxicol 2019; 32:326-332. [PMID: 30596229 DOI: 10.1021/acs.chemrestox.8b00330] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Breast cancer is the most commonly diagnosed cancer and the second leading cause of cancer death in women. Radioresistance remains one of the most critical barriers in radiation therapy for breast cancer. In this study, we employed a parallel-reaction monitoring (PRM)-based targeted proteomic method to examine the reprogramming of the heat shock proteome during the development of radioresistance in breast cancer. In particular, we investigated the differential expression of heat shock proteins (HSPs) in two pairs of matched parental/radioresistant breast cancer cell lines. We were able to quantify 43 and 42 HSPs in the MCF-7 and MDA-MB-231 pairs of cell lines, respectively. By analyzing the commonly altered proteins, we found that several members of the HSP70 and HSP40 subfamilies of HSPs exhibited substantially altered expression upon development of radioresistance. Moreover, the expression of HSPB8 is markedly elevated in the radioresistant lines relative to the parental MCF-7 and MDA-MB-231 cells. Together, our PRM-based targeted proteomics method revealed the reprogramming of the heat shock proteome during the development of radioresistance in breast cancer cells and offered potential targets for sensitizing breast cancer cells toward radiation therapy.
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246
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Wiles TA, Powell R, Michel C, Beard KS, Hohenstein A, Bradley B, Reisdorph N, Haskins K, Delong T. Identification of Hybrid Insulin Peptides (HIPs) in Mouse and Human Islets by Mass Spectrometry. J Proteome Res 2019; 18:814-825. [PMID: 30585061 DOI: 10.1021/acs.jproteome.8b00875] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
We recently discovered hybrid insulin peptides (HIPs) as a novel class of post-translationally modified peptides in murine-derived beta cell tumors, and we demonstrated that these molecules are autoantigens in type 1 diabetes (T1D). A HIP consists of an insulin fragment linked to another secretory granule peptide via a peptide bond. We verified that autoreactive CD4 T cells in both mouse and human autoimmune diabetes recognize these modified peptides. Here, we use mass spectrometric analyses to confirm the presence of HIPs in both mouse and human pancreatic islets. We also present criteria for the confident identification of these peptides. This work supports the hypothesis that HIPs are autoantigens in human T1D and provides a foundation for future efforts to interrogate this previously unknown component of the beta cell proteome.
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Affiliation(s)
- T. Aaron Wiles
- Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Anschutz Medical Campus, Aurora, Colorado 80045,
United States
| | - Roger Powell
- Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Anschutz Medical Campus, Aurora, Colorado 80045,
United States
| | - Cole Michel
- Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Anschutz Medical Campus, Aurora, Colorado 80045,
United States
| | - K. Scott Beard
- Barbara Davis Center for Childhood Diabetes , Aurora , Colorado 80045 , United States
| | - Anita Hohenstein
- Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Anschutz Medical Campus, Aurora, Colorado 80045,
United States,Department of Immunology and Microbiology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado 80045,
United States
| | - Brenda Bradley
- Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Anschutz Medical Campus, Aurora, Colorado 80045,
United States
| | - Nichole Reisdorph
- Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Anschutz Medical Campus, Aurora, Colorado 80045,
United States
| | - Kathryn Haskins
- Department of Immunology and Microbiology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado 80045,
United States
| | - Thomas Delong
- Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Anschutz Medical Campus, Aurora, Colorado 80045,
United States
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247
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Steiner C, Lescuyer P, Tille JC, Cutler P, Ducret A. Development of a Highly Multiplexed SRM Assay for Biomarker Discovery in Formalin-Fixed Paraffin-Embedded Tissues. Methods Mol Biol 2019; 1959:185-203. [PMID: 30852824 DOI: 10.1007/978-1-4939-9164-8_13] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
The search for novel and clinically relevant biomarkers still represents a major clinical challenge and mass-spectrometry-based technologies are essential tools to help in this process. In this application, we demonstrate how selected reaction monitoring (SRM) can be applied in a highly multiplexed way to analyze formalin-fixed paraffin-embedded (FFPE) tissues. Such an assay can be used to analyze numerous samples for narrowing down a list of potential biomarkers to the most relevant candidates. The use of FFPE tissues is of high relevance in this context as large sample collections linked with valuable clinical information are available in hospitals around the world. Here we describe in detail how we proceeded to develop such an assay for 200 proteins in breast tumor FFPE tissues. We cover the selection of suitable peptides, which are different in FFPE compared to fresh frozen tissues and show how we deliberately biased our assay toward proteins with a high probability of being measurable in human clinical samples.
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Affiliation(s)
- Carine Steiner
- Division of Laboratory Medicine, Geneva University Hospitals, Geneva, Switzerland.
- Biomarkers, Bioinformatics and Omics, Pharmaceutical Sciences, Roche Pharma Research & Early Development (pRED), Roche Innovation Center Basel, F. Hoffmann-La Roche AG, Basel, Switzerland.
- Late Stage Analytical Development, Small Molecules Technical Development, Roche Innovation Center Basel, F. Hoffmann-La Roche AG, Basel, Switzerland.
| | - Pierre Lescuyer
- Division of Laboratory Medicine, Geneva University Hospitals, Geneva, Switzerland
- Clinical Proteomics and Chemistry Group, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | | | - Paul Cutler
- Biomarkers, Bioinformatics and Omics, Pharmaceutical Sciences, Roche Pharma Research & Early Development (pRED), Roche Innovation Center Basel, F. Hoffmann-La Roche AG, Basel, Switzerland
- Translational Biomarkers and Bioanalysis, Development Sciences, UCB Pharma, Slough, UK
| | - Axel Ducret
- Biomarkers, Bioinformatics and Omics, Pharmaceutical Sciences, Roche Pharma Research & Early Development (pRED), Roche Innovation Center Basel, F. Hoffmann-La Roche AG, Basel, Switzerland
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248
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Ovine liver proteome: Assessing mechanisms of seasonal weight loss tolerance between Merino and Damara sheep. J Proteomics 2019; 191:180-190. [DOI: 10.1016/j.jprot.2018.02.018] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2017] [Revised: 02/01/2018] [Accepted: 02/10/2018] [Indexed: 01/13/2023]
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249
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Muntel J, Gandhi T, Verbeke L, Bernhardt OM, Treiber T, Bruderer R, Reiter L. Surpassing 10 000 identified and quantified proteins in a single run by optimizing current LC-MS instrumentation and data analysis strategy. Mol Omics 2019; 15:348-360. [DOI: 10.1039/c9mo00082h] [Citation(s) in RCA: 86] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Optimization of chromatography and data analysis resulted in more than 10 000 proteins in a single shot at a validated FDR of 1% (two-species test) and revealed deep insights into the testis cancer physiology.
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250
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Klaassen N, Spicer V, Krokhin OV. Universal retention standard for peptide separations using various modes of high-performance liquid chromatography. J Chromatogr A 2018; 1588:163-168. [PMID: 30626502 DOI: 10.1016/j.chroma.2018.12.057] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Revised: 12/20/2018] [Accepted: 12/24/2018] [Indexed: 10/27/2022]
Abstract
Peptide retention standards are widely used by chromatography specialists. They can be used for quality control of peptide separations (separation efficiency, selectivity, retention values) and for accurate concatenation of retention data from multiple acquisitions in proteomics. So far the repertoire of available retention standards is mostly limited to reversed-phase separations. We introduce a synthetic peptide mixture which can be used in conjunction with the most popular peptide separation techniques: reversed-phase (RPLC), strong-cation exchange (SCX), (strong-anion exchange) SAX and hydrophilic interaction liquid chromatography (HILIC). Target sequences were first designed in-silico using Sequence-Specific Retention Calculator models covering all major peptide separation mechanisms. Peptides were also designed while keeping in mind the simplicity of retention time assignment using MS detection: they all have nearly identical masses and identical intense y3 fragment ions. This contribution demonstrates the application of this mixture for characterization of eight HILIC as well as SAX, SCX and C18 columns.
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Affiliation(s)
- Nicole Klaassen
- Department of Chemistry, University of Manitoba, 360 Parker Building, Winnipeg, Manitoba R3T 2N2, Canada
| | - Victor Spicer
- Manitoba Centre for Proteomics and Systems Biology, 799 JBRC, 715 McDermot Avenue, Winnipeg, R3E 3P4, Canada
| | - Oleg V Krokhin
- Manitoba Centre for Proteomics and Systems Biology, 799 JBRC, 715 McDermot Avenue, Winnipeg, R3E 3P4, Canada; Department of Internal Medicine, University of Manitoba, 799 JBRC, 715 McDermot Avenue, Winnipeg, R3E 3P4, Canada.
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