1
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Yunus IS, Lee TS. Applications of targeted proteomics in metabolic engineering: advances and opportunities. Curr Opin Biotechnol 2022; 75:102709. [DOI: 10.1016/j.copbio.2022.102709] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 02/15/2022] [Accepted: 02/23/2022] [Indexed: 12/22/2022]
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2
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Rzagalinski I, Bogdanova A, Raghuraman BK, Geertsma ER, Hersemann L, Ziemssen T, Shevchenko A. FastCAT Accelerates Absolute Quantification of Proteins Using Multiple Short Nonpurified Chimeric Standards. J Proteome Res 2022; 21:1408-1417. [PMID: 35561006 PMCID: PMC9171895 DOI: 10.1021/acs.jproteome.2c00014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
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Absolute (molar)
quantification of clinically relevant proteins
determines their reference values in liquid and solid biopsies. The
FastCAT (for Fast-track QconCAT) method employs multiple short (<50
kDa), stable-isotope labeled chimeric proteins (CPs) composed of concatenated
quantotypic (Q)-peptides representing the quantified proteins. Each
CP also comprises scrambled sequences of reference (R)-peptides that
relate its abundance to a single protein standard (bovine serum albumin,
BSA). FastCAT not only alleviates the need to purify CP or use sodium
dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) but
also improves the accuracy, precision, and dynamic range of the absolute
quantification by grouping Q-peptides according to the expected abundance
of the target proteins. We benchmarked FastCAT against the reference
method of MS Western and tested it in the direct molar quantification
of neurological markers in human cerebrospinal fluid at the low ng/mL
level.
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Affiliation(s)
- Ignacy Rzagalinski
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany
| | - Aliona Bogdanova
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany
| | | | - Eric R Geertsma
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany
| | - Lena Hersemann
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany
| | - Tjalf Ziemssen
- Center of Clinical Neuroscience, Department of Neurology, University Hospital Carl Gustav Carus, Technical University of Dresden, 01307 Dresden, Germany
| | - Andrej Shevchenko
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany
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3
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Vasilogianni AM, El-Khateeb E, Achour B, Alrubia S, Rostami-Hodjegan A, Barber J, Al-Majdoub ZM. A family of QconCATs (Quantification conCATemers) for the quantification of human pharmacological target proteins. J Proteomics 2022; 261:104572. [DOI: 10.1016/j.jprot.2022.104572] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 03/15/2022] [Accepted: 03/19/2022] [Indexed: 11/29/2022]
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4
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Raghuraman BK, Bogdanova A, Moon H, Rzagalinski I, Geertsma ER, Hersemann L, Shevchenko A. Median-Based Absolute Quantification of Proteins Using Fully Unlabeled Generic Internal Standard (FUGIS). J Proteome Res 2021; 21:132-141. [PMID: 34807614 PMCID: PMC8749952 DOI: 10.1021/acs.jproteome.1c00596] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
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By reporting the
molar abundance of proteins, absolute quantification
determines their stoichiometry in complexes, pathways, or networks.
Typically, absolute quantification relies either on protein-specific
isotopically labeled peptide standards or on a semiempirical calibration
against the average abundance of peptides chosen from arbitrarily
selected proteins. In contrast, a generic protein standard FUGIS (fully
unlabeled generic internal standard) requires no isotopic labeling,
chemical synthesis, or external calibration and is applicable to quantifying
proteins of any organismal origin. The median intensity of the peptide
peaks produced by the tryptic digestion of FUGIS is used as a single-point
calibrant to determine the molar abundance of any codigested protein.
Powered by FUGIS, median-based absolute quantification (MBAQ) outperformed
other methods of untargeted proteome-wide absolute quantification.
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Affiliation(s)
- Bharath Kumar Raghuraman
- Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstrasse 108, 01307 Dresden, Germany
| | - Aliona Bogdanova
- Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstrasse 108, 01307 Dresden, Germany
| | - HongKee Moon
- Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstrasse 108, 01307 Dresden, Germany
| | - Ignacy Rzagalinski
- Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstrasse 108, 01307 Dresden, Germany
| | - Eric R Geertsma
- Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstrasse 108, 01307 Dresden, Germany
| | - Lena Hersemann
- Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstrasse 108, 01307 Dresden, Germany
| | - Andrej Shevchenko
- Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstrasse 108, 01307 Dresden, Germany
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5
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Di Silvestre D, Bergamaschi A, Bellini E, Mauri P. Large Scale Proteomic Data and Network-Based Systems Biology Approaches to Explore the Plant World. Proteomes 2018; 6:proteomes6020027. [PMID: 29865292 PMCID: PMC6027444 DOI: 10.3390/proteomes6020027] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2018] [Revised: 05/30/2018] [Accepted: 06/01/2018] [Indexed: 12/26/2022] Open
Abstract
The investigation of plant organisms by means of data-derived systems biology approaches based on network modeling is mainly characterized by genomic data, while the potential of proteomics is largely unexplored. This delay is mainly caused by the paucity of plant genomic/proteomic sequences and annotations which are fundamental to perform mass-spectrometry (MS) data interpretation. However, Next Generation Sequencing (NGS) techniques are contributing to filling this gap and an increasing number of studies are focusing on plant proteome profiling and protein-protein interactions (PPIs) identification. Interesting results were obtained by evaluating the topology of PPI networks in the context of organ-associated biological processes as well as plant-pathogen relationships. These examples foreshadow well the benefits that these approaches may provide to plant research. Thus, in addition to providing an overview of the main-omic technologies recently used on plant organisms, we will focus on studies that rely on concepts of module, hub and shortest path, and how they can contribute to the plant discovery processes. In this scenario, we will also consider gene co-expression networks, and some examples of integration with metabolomic data and genome-wide association studies (GWAS) to select candidate genes will be mentioned.
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Affiliation(s)
- Dario Di Silvestre
- Institute for Biomedical Technologies-National Research Council; F.lli Cervi 93, 20090 Segrate, Milan, Italy.
| | - Andrea Bergamaschi
- Institute for Biomedical Technologies-National Research Council; F.lli Cervi 93, 20090 Segrate, Milan, Italy.
| | - Edoardo Bellini
- Institute for Biomedical Technologies-National Research Council; F.lli Cervi 93, 20090 Segrate, Milan, Italy.
| | - PierLuigi Mauri
- Institute for Biomedical Technologies-National Research Council; F.lli Cervi 93, 20090 Segrate, Milan, Italy.
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6
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Achour B, Dantonio A, Niosi M, Novak JJ, Al-Majdoub ZM, Goosen TC, Rostami-Hodjegan A, Barber J. Data Generated by Quantitative Liquid Chromatography-Mass Spectrometry Proteomics Are Only the Start and Not the Endpoint: Optimization of Quantitative Concatemer-Based Measurement of Hepatic Uridine-5′-Diphosphate–Glucuronosyltransferase Enzymes with Reference to Catalytic Activity. Drug Metab Dispos 2018; 46:805-812. [DOI: 10.1124/dmd.117.079475] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2017] [Accepted: 03/22/2018] [Indexed: 12/17/2022] Open
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7
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Manes NP, Nita-Lazar A. Application of targeted mass spectrometry in bottom-up proteomics for systems biology research. J Proteomics 2018; 189:75-90. [PMID: 29452276 DOI: 10.1016/j.jprot.2018.02.008] [Citation(s) in RCA: 72] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2017] [Revised: 01/25/2018] [Accepted: 02/07/2018] [Indexed: 02/08/2023]
Abstract
The enormous diversity of proteoforms produces tremendous complexity within cellular proteomes, facilitates intricate networks of molecular interactions, and constitutes a formidable analytical challenge for biomedical researchers. Currently, quantitative whole-proteome profiling often relies on non-targeted liquid chromatography-mass spectrometry (LC-MS), which samples proteoforms broadly, but can suffer from lower accuracy, sensitivity, and reproducibility compared with targeted LC-MS. Recent advances in bottom-up proteomics using targeted LC-MS have enabled previously unachievable identification and quantification of target proteins and posttranslational modifications within complex samples. Consequently, targeted LC-MS is rapidly advancing biomedical research, especially systems biology research in diverse areas that include proteogenomics, interactomics, kinomics, and biological pathway modeling. With the recent development of targeted LC-MS assays for nearly the entire human proteome, targeted LC-MS is positioned to enable quantitative proteomic profiling of unprecedented quality and accessibility to support fundamental and clinical research. Here we review recent applications of bottom-up proteomics using targeted LC-MS for systems biology research. SIGNIFICANCE: Advances in targeted proteomics are rapidly advancing systems biology research. Recent applications include systems-level investigations focused on posttranslational modifications (such as phosphoproteomics), protein conformation, protein-protein interaction, kinomics, proteogenomics, and metabolic and signaling pathways. Notably, absolute quantification of metabolic and signaling pathway proteins has enabled accurate pathway modeling and engineering. Integration of targeted proteomics with other technologies, such as RNA-seq, has facilitated diverse research such as the identification of hundreds of "missing" human proteins (genes and transcripts that appear to encode proteins but direct experimental evidence was lacking).
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Affiliation(s)
- Nathan P Manes
- Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Aleksandra Nita-Lazar
- Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
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Takemori N, Takemori A, Tanaka Y, Endo Y, Hurst JL, Gómez-Baena G, Harman VM, Beynon RJ. MEERCAT: Multiplexed Efficient Cell Free Expression of Recombinant QconCATs For Large Scale Absolute Proteome Quantification. Mol Cell Proteomics 2017; 16:2169-2183. [PMID: 29055021 PMCID: PMC5724179 DOI: 10.1074/mcp.ra117.000284] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2017] [Revised: 10/15/2017] [Indexed: 01/25/2023] Open
Abstract
A major challenge in proteomics is the absolute accurate quantification of large numbers of proteins. QconCATs, artificial proteins that are concatenations of multiple standard peptides, are well established as an efficient means to generate standards for proteome quantification. Previously, QconCATs have been expressed in bacteria, but we now describe QconCAT expression in a robust, cell-free system. The new expression approach rescues QconCATs that previously were unable to be expressed in bacteria and can reduce the incidence of proteolytic damage to QconCATs. Moreover, it is possible to cosynthesize QconCATs in a highly-multiplexed translation reaction, coexpressing tens or hundreds of QconCATs simultaneously. By obviating bacterial culture and through the gain of high level multiplexing, it is now possible to generate tens of thousands of standard peptides in a matter of weeks, rendering absolute quantification of a complex proteome highly achievable in a reproducible, broadly deployable system.
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Affiliation(s)
- Nobuaki Takemori
- From the ‡Proteo-Science Center, Ehime University, Ehime, 791-0295, Japan; .,§Advanced Research Support Center, Ehime University, Ehime, 791-0295, Japan
| | - Ayako Takemori
- From the ‡Proteo-Science Center, Ehime University, Ehime, 791-0295, Japan.,¶The United Graduate School of Agricultural Sciences, Ehime University, Ehime, 790-8566, Japan
| | - Yuki Tanaka
- §Advanced Research Support Center, Ehime University, Ehime, 791-0295, Japan
| | - Yaeta Endo
- From the ‡Proteo-Science Center, Ehime University, Ehime, 791-0295, Japan
| | - Jane L Hurst
- **Mammalian Behaviour and Evolution Group, Institute of Integrative Biology, University of Liverpool, Leahurst Campus, Neston CH64 7TE
| | - Guadalupe Gómez-Baena
- ‖Centre for Proteome Research, Institute of Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK
| | - Victoria M Harman
- ‖Centre for Proteome Research, Institute of Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK
| | - Robert J Beynon
- ‖Centre for Proteome Research, Institute of Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK;
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9
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Zilkenat S, Grin I, Wagner S. Stoichiometry determination of macromolecular membrane protein complexes. Biol Chem 2017; 398:155-164. [PMID: 27664774 DOI: 10.1515/hsz-2016-0251] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2016] [Accepted: 09/20/2016] [Indexed: 01/01/2023]
Abstract
Gaining knowledge of the structural makeup of protein complexes is critical to advance our understanding of their formation and functions. This task is particularly challenging for transmembrane protein complexes, and grows ever more imposing with increasing size of these large macromolecular structures. The last 10 years have seen a steep increase in solved high-resolution membrane protein structures due to both new and improved methods in the field, but still most structures of large transmembrane complexes remain elusive. An important first step towards the structure elucidation of these difficult complexes is the determination of their stoichiometry, which we discuss in this review. Knowing the stoichiometry of complex components not only answers unresolved structural questions and is relevant for understanding the molecular mechanisms of macromolecular machines but also supports further attempts to obtain high-resolution structures by providing constraints for structure calculations.
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10
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A large-scale targeted proteomics assay resource based on an in vitro human proteome. Nat Methods 2016; 14:251-258. [PMID: 28267743 DOI: 10.1038/nmeth.4116] [Citation(s) in RCA: 69] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2016] [Accepted: 11/07/2016] [Indexed: 01/15/2023]
Abstract
Targeted proteomics approaches are of value for deep and accurate quantification of protein abundance. Extending such methods to quantify large numbers of proteins requires the construction of predefined targeted assays. We developed a targeted proteomics platform-in vitro proteome-assisted multiple reaction monitoring (MRM) for protein absolute quantification (iMPAQT)-by using >18,000 human recombinant proteins, thus enabling protein absolute quantification on a genome-wide scale. Our platform comprises experimentally confirmed MRM assays of mass tag (mTRAQ)-labeled peptides to allow for rapid and straightforward measurement of the absolute abundance of predefined sets of proteins by mass spectrometry. We applied iMPAQT to delineate the quantitative metabolic landscape of normal and transformed human fibroblasts. Oncogenic transformation gave rise to relatively small but global changes in metabolic pathways resulting in aerobic glycolysis (Warburg effect) and increased rates of macromolecule synthesis. iMPAQT should facilitate quantitative biology studies based on protein abundance measurements.
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