151
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Zühlke D, Dörries K, Bernhardt J, Maaß S, Muntel J, Liebscher V, Pané-Farré J, Riedel K, Lalk M, Völker U, Engelmann S, Becher D, Fuchs S, Hecker M. Costs of life - Dynamics of the protein inventory of Staphylococcus aureus during anaerobiosis. Sci Rep 2016; 6:28172. [PMID: 27344979 PMCID: PMC4921807 DOI: 10.1038/srep28172] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2015] [Accepted: 05/31/2016] [Indexed: 01/19/2023] Open
Abstract
Absolute protein quantification was applied to follow the dynamics of the cytoplasmic proteome of Staphylococcus aureus in response to long-term oxygen starvation. For 1,168 proteins, the majority of all expressed proteins, molecule numbers per cell have been determined to monitor the cellular investments in single branches of bacterial life for the first time. In the presence of glucose the anaerobic protein pattern is characterized by increased amounts of glycolytic and fermentative enzymes such as Eno, GapA1, Ldh1, and PflB. Interestingly, the ferritin-like protein FtnA belongs to the most abundant proteins during anaerobic growth. Depletion of glucose finally leads to an accumulation of different enzymes such as ArcB1, ArcB2, and ArcC2 involved in arginine deiminase pathway. Concentrations of 29 exo- and 78 endometabolites were comparatively assessed and have been integrated to the metabolic networks. Here we provide an almost complete picture on the response to oxygen starvation, from signal transduction pathways to gene expression pattern, from metabolic reorganization after oxygen depletion to beginning cell death and lysis after glucose exhaustion. This experimental approach can be considered as a proof of principle how to combine cell physiology with quantitative proteomics for a new dimension in understanding simple life processes as an entity.
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Affiliation(s)
- Daniela Zühlke
- Institute of Microbiology, Ernst-Moritz-Arndt-University Greifswald, F.-L.-Jahn-Strasse 15, D-17487 Greifswald, Germany
| | - Kirsten Dörries
- Institute of Biochemistry, Ernst-Moritz-Arndt-University Greifswald, Felix-Hausdorff-Strasse 4, D-17487 Greifswald, Germany
| | - Jörg Bernhardt
- Institute of Microbiology, Ernst-Moritz-Arndt-University Greifswald, F.-L.-Jahn-Strasse 15, D-17487 Greifswald, Germany
| | - Sandra Maaß
- Institute of Microbiology, Ernst-Moritz-Arndt-University Greifswald, F.-L.-Jahn-Strasse 15, D-17487 Greifswald, Germany
| | - Jan Muntel
- Institute of Microbiology, Ernst-Moritz-Arndt-University Greifswald, F.-L.-Jahn-Strasse 15, D-17487 Greifswald, Germany
| | - Volkmar Liebscher
- Department of Mathematics and Informatics, Ernst-Moritz-Arndt-University Greifswald, Walther-Rathenau-Strasse 47, D-17487 Greifswald, Germany
| | - Jan Pané-Farré
- Institute of Microbiology, Ernst-Moritz-Arndt-University Greifswald, F.-L.-Jahn-Strasse 15, D-17487 Greifswald, Germany
| | - Katharina Riedel
- Institute of Microbiology, Ernst-Moritz-Arndt-University Greifswald, F.-L.-Jahn-Strasse 15, D-17487 Greifswald, Germany
| | - Michael Lalk
- Institute of Biochemistry, Ernst-Moritz-Arndt-University Greifswald, Felix-Hausdorff-Strasse 4, D-17487 Greifswald, Germany
| | - Uwe Völker
- Interfaculty Institute for Genetics and Functional Genomics, Ernst-Moritz-Arndt-University Greifswald, F.-L.-Jahn-Strasse 15 a, D-17487 Greifswald, Germany
| | - Susanne Engelmann
- Institute of Microbiology, Ernst-Moritz-Arndt-University Greifswald, F.-L.-Jahn-Strasse 15, D-17487 Greifswald, Germany.,Institute of Microbiology, Technical University Braunschweig, Inhoffenstrasse 7, D-38124 Braunschweig, Germany.,Helmholtz Institute for Infection Research, Microbial Proteomics, Inhoffenstrasse 7, D-38124 Braunschweig, Germany
| | - Dörte Becher
- Institute of Microbiology, Ernst-Moritz-Arndt-University Greifswald, F.-L.-Jahn-Strasse 15, D-17487 Greifswald, Germany
| | - Stephan Fuchs
- Institute of Microbiology, Ernst-Moritz-Arndt-University Greifswald, F.-L.-Jahn-Strasse 15, D-17487 Greifswald, Germany.,Robert Koch Institute, FG13 Nosocomial Pathogens and Antibiotic Resistance, Burgstrasse 37, D-38855 Wernigerode, Germany
| | - Michael Hecker
- Institute of Microbiology, Ernst-Moritz-Arndt-University Greifswald, F.-L.-Jahn-Strasse 15, D-17487 Greifswald, Germany
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152
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Gillet LC, Leitner A, Aebersold R. Mass Spectrometry Applied to Bottom-Up Proteomics: Entering the High-Throughput Era for Hypothesis Testing. ANNUAL REVIEW OF ANALYTICAL CHEMISTRY (PALO ALTO, CALIF.) 2016; 9:449-72. [PMID: 27049628 DOI: 10.1146/annurev-anchem-071015-041535] [Citation(s) in RCA: 218] [Impact Index Per Article: 27.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Proteins constitute a key class of molecular components that perform essential biochemical reactions in living cells. Whether the aim is to extensively characterize a given protein or to perform high-throughput qualitative and quantitative analysis of the proteome content of a sample, liquid chromatography coupled to tandem mass spectrometry has become the technology of choice. In this review, we summarize the current state of mass spectrometry applied to bottom-up proteomics, the approach that focuses on analyzing peptides obtained from proteolytic digestion of proteins. With the recent advances in instrumentation and methodology, we show that the field is moving away from providing qualitative identification of long lists of proteins to delivering highly consistent and accurate quantification values for large numbers of proteins across large numbers of samples. We believe that this shift will have a profound impact for the field of proteomics and life science research in general.
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Affiliation(s)
- Ludovic C Gillet
- Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, 8093 Zürich, Switzerland;
| | - Alexander Leitner
- Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, 8093 Zürich, Switzerland;
| | - Ruedi Aebersold
- Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, 8093 Zürich, Switzerland;
- Faculty of Science, University of Zürich, 8057 Zürich, Switzerland
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153
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Peters JS, Calder B, Gonnelli G, Degroeve S, Rajaonarifara E, Mulder N, Soares NC, Martens L, Blackburn JM. Identification of Quantitative Proteomic Differences between Mycobacterium tuberculosis Lineages with Altered Virulence. Front Microbiol 2016; 7:813. [PMID: 27303394 PMCID: PMC4885829 DOI: 10.3389/fmicb.2016.00813] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2016] [Accepted: 05/12/2016] [Indexed: 11/22/2022] Open
Abstract
Evidence currently suggests that as a species Mycobacterium tuberculosis exhibits very little genomic sequence diversity. Despite limited genetic variability, members of the M. tuberculosis complex (MTBC) have been shown to exhibit vast discrepancies in phenotypic presentation in terms of virulence, elicited immune response and transmissibility. Here, we used qualitative and quantitative mass spectrometry tools to investigate the proteomes of seven clinically-relevant mycobacterial strains—four M. tuberculosis strains, M. bovis, M. bovis BCG, and M. avium—that show varying degrees of pathogenicity and virulence, in an effort to rationalize the observed phenotypic differences. Following protein preparation, liquid chromatography mass spectrometry (LC MS/MS) and data capture were carried out using an LTQ Orbitrap Velos. Data analysis was carried out using a novel bioinformatics strategy, which yielded high protein coverage and was based on high confidence peptides. Through this approach, we directly identified a total of 3788 unique M. tuberculosis proteins out of a theoretical proteome of 4023 proteins and identified an average of 3290 unique proteins for each of the MTBC organisms (representing 82% of the theoretical proteomes), as well as 4250 unique M. avium proteins (80% of the theoretical proteome). Data analysis showed that all major classes of proteins are represented in every strain, but that there are significant quantitative differences between strains. Targeted selected reaction monitoring (SRM) assays were used to quantify the observed differential expression of a subset of 23 proteins identified by comparison to gene expression data as being of particular relevance to virulence. This analysis revealed differences in relative protein abundance between strains for proteins which may promote bacterial fitness in the more virulent W. Beijing strain. These differences may contribute to this strain's capacity for surviving within the host and resisting treatment, which has contributed to its rapid spread. Through this approach, we have begun to describe the proteomic portrait of a successful mycobacterial pathogen. Data are available via ProteomeXchange with identifier PXD004165.
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Affiliation(s)
- Julian S Peters
- Centre of Excellence for Biomedical TB Research, Witwatersrand University Johannesburg, South Africa
| | - Bridget Calder
- Department of Integrative Biomedical Sciences, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town Cape Town, South Africa
| | | | | | - Elinambinina Rajaonarifara
- Department of Integrative Biomedical Sciences, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town Cape Town, South Africa
| | - Nicola Mulder
- Department of Integrative Biomedical Sciences, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town Cape Town, South Africa
| | - Nelson C Soares
- Department of Integrative Biomedical Sciences, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town Cape Town, South Africa
| | | | - Jonathan M Blackburn
- Department of Integrative Biomedical Sciences, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town Cape Town, South Africa
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154
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Lipworth S, Hammond RJH, Baron VO, Hu Y, Coates A, Gillespie SH. Defining dormancy in mycobacterial disease. Tuberculosis (Edinb) 2016; 99:131-142. [PMID: 27450015 DOI: 10.1016/j.tube.2016.05.006] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2016] [Revised: 05/06/2016] [Accepted: 05/23/2016] [Indexed: 11/19/2022]
Abstract
Tuberculosis remains a threat to global health and recent attempts to shorten therapy have not succeeded mainly due to cases of clinical relapse. This has focussed attention on the importance of "dormancy" in tuberculosis. There are a number of different definitions of the term and a similar multiplicity of different in vitro and in vivo models. The danger with this is the implicit assumption of equivalence between the terms and models, which will make even more difficult to unravel this complex conundrum. In this review we summarise the main models and definitions and their impact on susceptibility of Mycobacterium tuberculosis. We also suggest a potential nomenclature for debate. Dormancy researchers agree that factors underpinning this phenomenon are complex and nuanced. If we are to make progress we must agree the terms to be used and be consistent in using them.
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Affiliation(s)
- S Lipworth
- School of Medicine, University of St Andrews, Biomedical Science Building, North Haugh, St Andrews KY16 9TF, United Kingdom
| | - R J H Hammond
- School of Medicine, University of St Andrews, Biomedical Science Building, North Haugh, St Andrews KY16 9TF, United Kingdom
| | - V O Baron
- School of Medicine, University of St Andrews, Biomedical Science Building, North Haugh, St Andrews KY16 9TF, United Kingdom
| | - Yanmin Hu
- Institute for Infection and Immunity, St George's, University of London, London SW17 ORE, United Kingdom
| | - A Coates
- Institute for Infection and Immunity, St George's, University of London, London SW17 ORE, United Kingdom
| | - S H Gillespie
- School of Medicine, University of St Andrews, Biomedical Science Building, North Haugh, St Andrews KY16 9TF, United Kingdom.
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155
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Wu JX, Song X, Pascovici D, Zaw T, Care N, Krisp C, Molloy MP. SWATH Mass Spectrometry Performance Using Extended Peptide MS/MS Assay Libraries. Mol Cell Proteomics 2016; 15:2501-14. [PMID: 27161445 DOI: 10.1074/mcp.m115.055558] [Citation(s) in RCA: 82] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2015] [Indexed: 12/26/2022] Open
Abstract
The use of data-independent acquisition methods such as SWATH for mass spectrometry based proteomics is usually performed with peptide MS/MS assay libraries which enable identification and quantitation of peptide peak areas. Reference assay libraries can be generated locally through information dependent acquisition, or obtained from community data repositories for commonly studied organisms. However, there have been no studies performed to systematically evaluate how locally generated or repository-based assay libraries affect SWATH performance for proteomic studies. To undertake this analysis, we developed a software workflow, SwathXtend, which generates extended peptide assay libraries by integration with a local seed library and delivers statistical analysis of SWATH-quantitative comparisons. We designed test samples using peptides from a yeast extract spiked into peptides from human K562 cell lysates at three different ratios to simulate protein abundance change comparisons. SWATH-MS performance was assessed using local and external assay libraries of varying complexities and proteome compositions. These experiments demonstrated that local seed libraries integrated with external assay libraries achieve better performance than local assay libraries alone, in terms of the number of identified peptides and proteins and the specificity to detect differentially abundant proteins. Our findings show that the performance of extended assay libraries is influenced by the MS/MS feature similarity of the seed and external libraries, while statistical analysis using multiple testing corrections increases the statistical rigor needed when searching against large extended assay libraries.
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Affiliation(s)
- Jemma X Wu
- From the ‡Australian Proteome Analysis Facility (APAF), Dept. Chemistry & Biomolecular Sciences, Macquarie University, Sydney, Australia
| | - Xiaomin Song
- From the ‡Australian Proteome Analysis Facility (APAF), Dept. Chemistry & Biomolecular Sciences, Macquarie University, Sydney, Australia
| | - Dana Pascovici
- From the ‡Australian Proteome Analysis Facility (APAF), Dept. Chemistry & Biomolecular Sciences, Macquarie University, Sydney, Australia
| | - Thiri Zaw
- From the ‡Australian Proteome Analysis Facility (APAF), Dept. Chemistry & Biomolecular Sciences, Macquarie University, Sydney, Australia
| | - Natasha Care
- From the ‡Australian Proteome Analysis Facility (APAF), Dept. Chemistry & Biomolecular Sciences, Macquarie University, Sydney, Australia
| | - Christoph Krisp
- From the ‡Australian Proteome Analysis Facility (APAF), Dept. Chemistry & Biomolecular Sciences, Macquarie University, Sydney, Australia
| | - Mark P Molloy
- From the ‡Australian Proteome Analysis Facility (APAF), Dept. Chemistry & Biomolecular Sciences, Macquarie University, Sydney, Australia
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156
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Remote Control by Inter-Enzyme Allostery: A Novel Paradigm for Regulation of the Shikimate Pathway. J Mol Biol 2016; 428:1237-1255. [DOI: 10.1016/j.jmb.2016.01.001] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2015] [Revised: 12/22/2015] [Accepted: 01/02/2016] [Indexed: 11/16/2022]
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157
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Maaß S, Becher D. Methods and applications of absolute protein quantification in microbial systems. J Proteomics 2016; 136:222-33. [PMID: 26825536 DOI: 10.1016/j.jprot.2016.01.015] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2015] [Revised: 01/05/2016] [Accepted: 01/21/2016] [Indexed: 02/05/2023]
Abstract
In the last years the scientific community faced an increased need to provide high-quality data on the concentration of single proteins within a cell. Especially against the background of the fast evolving field of systems biology this does not only apply for a few proteins but preferably for the whole proteome of the organism. Therefore there has been a rapid development from pure identification of proteins via characterization of changes between different conditions by relative protein quantification towards determination of absolute protein amounts for hundreds of protein species in a cell. This review aims for discussion of different small-scale and large-scale approaches for absolute protein quantification in bacterial cells to picture biological processes and explore life in deeper detail. The presented advantages and limitations of various methods may provide interested researchers help to appraise available methods, select the most appropriate technique and avoid common pitfalls during determination of protein concentration in a complex sample.
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Affiliation(s)
- Sandra Maaß
- Institute for Microbiology, Ernst Moritz Arndt Universität Greifswald, D-17487 Greifswald, Germany.
| | - Dörte Becher
- Institute for Microbiology, Ernst Moritz Arndt Universität Greifswald, D-17487 Greifswald, Germany
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158
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Semanjski M, Macek B. Shotgun proteomics of bacterial pathogens: advances, challenges and clinical implications. Expert Rev Proteomics 2016; 13:139-56. [PMID: 26653908 DOI: 10.1586/14789450.2016.1132168] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Mass spectrometry-based proteomics is increasingly used in analysis of bacterial pathogens. Simple experimental set-ups based on high accuracy mass spectrometry and powerful biochemical and bioinformatics tools are capable of reliably quantifying levels of several thousand bacterial proteins in a single experiment, reaching the analytical capacity to completely map whole proteomes. Here the authors present the state-of-the-art in bacterial pathogen proteomics and discuss challenges that the field is facing, especially in analysis of low abundant, modified proteins from organisms that are difficult to culture. Constant improvements in speed and sensitivity of mass spectrometers, as well as in bioinformatic and biochemical workflows will soon allow for comprehensive analysis of regulatory mechanisms of pathogenicity and enable routine application of proteomics in the clinical setting.
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Affiliation(s)
- Maja Semanjski
- a Quantitative Proteomics and Proteome Center Tuebingen, Interfaculty Institute for Cell Biology , University of Tuebingen , Tuebingen , Germany
| | - Boris Macek
- a Quantitative Proteomics and Proteome Center Tuebingen, Interfaculty Institute for Cell Biology , University of Tuebingen , Tuebingen , Germany
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159
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Caron E, Espona L, Kowalewski DJ, Schuster H, Ternette N, Alpízar A, Schittenhelm RB, Ramarathinam SH, Lindestam Arlehamn CS, Chiek Koh C, Gillet LC, Rabsteyn A, Navarro P, Kim S, Lam H, Sturm T, Marcilla M, Sette A, Campbell DS, Deutsch EW, Moritz RL, Purcell AW, Rammensee HG, Stevanovic S, Aebersold R. An open-source computational and data resource to analyze digital maps of immunopeptidomes. eLife 2015; 4. [PMID: 26154972 PMCID: PMC4507788 DOI: 10.7554/elife.07661] [Citation(s) in RCA: 77] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2015] [Accepted: 07/07/2015] [Indexed: 02/06/2023] Open
Abstract
We present a novel mass spectrometry-based high-throughput workflow and an open-source computational and data resource to reproducibly identify and quantify HLA-associated peptides. Collectively, the resources support the generation of HLA allele-specific peptide assay libraries consisting of consensus fragment ion spectra, and the analysis of quantitative digital maps of HLA peptidomes generated from a range of biological sources by SWATH mass spectrometry (MS). This study represents the first community-based effort to develop a robust platform for the reproducible and quantitative measurement of the entire repertoire of peptides presented by HLA molecules, an essential step towards the design of efficient immunotherapies. DOI:http://dx.doi.org/10.7554/eLife.07661.001 The cells of the immune system protect us by recognizing telltale molecules produced by damaged and diseased cells, or by infection-causing microorganisms (which are also called pathogens). To help with this process, the cells in our bodies display small fragments of proteins (called peptides) on their surface that are then checked by the immune cells. Collectively, these peptides are referred to as the ‘immunopeptidome’, and deciphering the complexity of the human immunopeptidome is important for both basic research and medical science. Such an achievement would help to guide the development of next-generation vaccines and therapies against autoimmune disorders, infectious diseases and cancers. In the past, immune peptides were mostly identified using a technique that is commonly called ‘shotgun’ mass spectrometry. However, this approach doesn't always provide reproducible results. In 2012, researchers reported the development of a new approach—which they called ‘SWATH’ mass spectrometry—that could yield more reproducible data. Now, Caron et al.—including many of the researchers involved in the 2012 study—have developed a large collection of standardized tests that use SWATH mass spectrometry to analyze the human immunopeptidome. The workflow and the computational and data resources developed as part of this international effort are the first steps toward highly reproducible and measurable analyses of the immunopeptidome across many samples. Moreover, the large repository of assays generated by the project has been made public and will serve a large community of researchers, which should enable better collaborations. In the future, SWATH mass spectrometry could be used as a robust technology for the reproducible detection and measurement of pathogen-specific or cancer-specific immune peptides. This could greatly help in the design of personalized immune-based therapies. DOI:http://dx.doi.org/10.7554/eLife.07661.002
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Affiliation(s)
- Etienne Caron
- Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, Zurich, Switzerland
| | - Lucia Espona
- Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, Zurich, Switzerland
| | - Daniel J Kowalewski
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
| | - Heiko Schuster
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
| | - Nicola Ternette
- Target Discovery Institute Mass Spectrometry Laboratory, University of Oxford, Oxford, United Kingdom
| | - Adán Alpízar
- Proteomics Unit, Spanish National Biotechnology Centre, Madrid, Spain
| | - Ralf B Schittenhelm
- Department of Biochemistry and Molecular Biology, Monash University, Clayton, Australia
| | - Sri H Ramarathinam
- Department of Biochemistry and Molecular Biology, Monash University, Clayton, Australia
| | | | - Ching Chiek Koh
- Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, Zurich, Switzerland
| | - Ludovic C Gillet
- Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, Zurich, Switzerland
| | - Armin Rabsteyn
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
| | - Pedro Navarro
- Institute for Immunology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Sangtae Kim
- Pacific Northwest National Laboratory, Richland, United States
| | - Henry Lam
- Division of Biomedical Engineering and Department of Chemical and Biomolecular Engineering, Hong Kong University of Science and Technology, Hong Kong, China
| | - Theo Sturm
- Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, Zurich, Switzerland
| | - Miguel Marcilla
- Proteomics Unit, Spanish National Biotechnology Centre, Madrid, Spain
| | - Alessandro Sette
- La Jolla Institute for Allergy and Immunology, La Jolla, United States
| | | | | | | | - Anthony W Purcell
- Department of Biochemistry and Molecular Biology, Monash University, Clayton, Australia
| | - Hans-Georg Rammensee
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
| | - Stefan Stevanovic
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
| | - Ruedi Aebersold
- Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, Zurich, Switzerland
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160
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Schubert OT, Aebersold R. Microbial Proteome Profiling and Systems Biology: Applications to Mycobacterium tuberculosis. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2015; 883:235-54. [PMID: 26621471 DOI: 10.1007/978-3-319-23603-2_13] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Each year, 1.3 million people die from tuberculosis, an infectious disease caused by Mycobacterium tuberculosis. Systems biology-based strategies might significantly contribute to the knowledge-guided development of more effective vaccines and drugs to prevent and cure infectious diseases. To build models simulating the behaviour of a system in response to internal or external stimuli and to identify potential targets for therapeutic intervention, systems biology approaches require the acquisition of quantitative molecular profiles on many perturbed states. Here we review the current state of proteomic analyses in Mycobacterium tuberculosis and discuss the potential of recently emerging targeting mass spectrometry-based techniques which enable fast, sensitive and accurate protein measurements.
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Affiliation(s)
- Olga T Schubert
- Institute of Molecular Systems Biology, ETH Zurich, Zurich, CH-8093, Switzerland.
- Systems Biology Graduate School, Zurich, CH-8057, Switzerland.
| | - Ruedi Aebersold
- Institute of Molecular Systems Biology, ETH Zurich, Zurich, CH-8093, Switzerland.
- Faculty of Science, University of Zurich, Zurich, CH-8057, Switzerland.
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