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Jiang Y, Rex DA, Schuster D, Neely BA, Rosano GL, Volkmar N, Momenzadeh A, Peters-Clarke TM, Egbert SB, Kreimer S, Doud EH, Crook OM, Yadav AK, Vanuopadath M, Hegeman AD, Mayta M, Duboff AG, Riley NM, Moritz RL, Meyer JG. Comprehensive Overview of Bottom-Up Proteomics Using Mass Spectrometry. ACS MEASUREMENT SCIENCE AU 2024; 4:338-417. [PMID: 39193565 PMCID: PMC11348894 DOI: 10.1021/acsmeasuresciau.3c00068] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 05/03/2024] [Accepted: 05/03/2024] [Indexed: 08/29/2024]
Abstract
Proteomics is the large scale study of protein structure and function from biological systems through protein identification and quantification. "Shotgun proteomics" or "bottom-up proteomics" is the prevailing strategy, in which proteins are hydrolyzed into peptides that are analyzed by mass spectrometry. Proteomics studies can be applied to diverse studies ranging from simple protein identification to studies of proteoforms, protein-protein interactions, protein structural alterations, absolute and relative protein quantification, post-translational modifications, and protein stability. To enable this range of different experiments, there are diverse strategies for proteome analysis. The nuances of how proteomic workflows differ may be challenging to understand for new practitioners. Here, we provide a comprehensive overview of different proteomics methods. We cover from biochemistry basics and protein extraction to biological interpretation and orthogonal validation. We expect this Review will serve as a handbook for researchers who are new to the field of bottom-up proteomics.
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Affiliation(s)
- Yuming Jiang
- Department
of Computational Biomedicine, Cedars Sinai
Medical Center, Los Angeles, California 90048, United States
- Smidt Heart
Institute, Cedars Sinai Medical Center, Los Angeles, California 90048, United States
- Advanced
Clinical Biosystems Research Institute, Cedars Sinai Medical Center, Los
Angeles, California 90048, United States
| | - Devasahayam Arokia
Balaya Rex
- Center for
Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore 575018, India
| | - Dina Schuster
- Department
of Biology, Institute of Molecular Systems
Biology, ETH Zurich, Zurich 8093, Switzerland
- Department
of Biology, Institute of Molecular Biology
and Biophysics, ETH Zurich, Zurich 8093, Switzerland
- Laboratory
of Biomolecular Research, Division of Biology and Chemistry, Paul Scherrer Institute, Villigen 5232, Switzerland
| | - Benjamin A. Neely
- Chemical
Sciences Division, National Institute of
Standards and Technology, NIST, Charleston, South Carolina 29412, United States
| | - Germán L. Rosano
- Mass
Spectrometry
Unit, Institute of Molecular and Cellular
Biology of Rosario, Rosario, 2000 Argentina
| | - Norbert Volkmar
- Department
of Biology, Institute of Molecular Systems
Biology, ETH Zurich, Zurich 8093, Switzerland
| | - Amanda Momenzadeh
- Department
of Computational Biomedicine, Cedars Sinai
Medical Center, Los Angeles, California 90048, United States
- Smidt Heart
Institute, Cedars Sinai Medical Center, Los Angeles, California 90048, United States
- Advanced
Clinical Biosystems Research Institute, Cedars Sinai Medical Center, Los
Angeles, California 90048, United States
| | - Trenton M. Peters-Clarke
- Department
of Pharmaceutical Chemistry, University
of California—San Francisco, San Francisco, California, 94158, United States
| | - Susan B. Egbert
- Department
of Chemistry, University of Manitoba, Winnipeg, Manitoba, R3T 2N2 Canada
| | - Simion Kreimer
- Smidt Heart
Institute, Cedars Sinai Medical Center, Los Angeles, California 90048, United States
- Advanced
Clinical Biosystems Research Institute, Cedars Sinai Medical Center, Los
Angeles, California 90048, United States
| | - Emma H. Doud
- Center
for Proteome Analysis, Indiana University
School of Medicine, Indianapolis, Indiana, 46202-3082, United States
| | - Oliver M. Crook
- Oxford
Protein Informatics Group, Department of Statistics, University of Oxford, Oxford OX1 3LB, United
Kingdom
| | - Amit Kumar Yadav
- Translational
Health Science and Technology Institute, NCR Biotech Science Cluster 3rd Milestone Faridabad-Gurgaon
Expressway, Faridabad, Haryana 121001, India
| | | | - Adrian D. Hegeman
- Departments
of Horticultural Science and Plant and Microbial Biology, University of Minnesota, Twin Cities, Minnesota 55108, United States
| | - Martín
L. Mayta
- School
of Medicine and Health Sciences, Center for Health Sciences Research, Universidad Adventista del Plata, Libertador San Martin 3103, Argentina
- Molecular
Biology Department, School of Pharmacy and Biochemistry, Universidad Nacional de Rosario, Rosario 2000, Argentina
| | - Anna G. Duboff
- Department
of Chemistry, University of Washington, Seattle, Washington 98195, United States
| | - Nicholas M. Riley
- Department
of Chemistry, University of Washington, Seattle, Washington 98195, United States
| | - Robert L. Moritz
- Institute
for Systems biology, Seattle, Washington 98109, United States
| | - Jesse G. Meyer
- Department
of Computational Biomedicine, Cedars Sinai
Medical Center, Los Angeles, California 90048, United States
- Smidt Heart
Institute, Cedars Sinai Medical Center, Los Angeles, California 90048, United States
- Advanced
Clinical Biosystems Research Institute, Cedars Sinai Medical Center, Los
Angeles, California 90048, United States
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Jiang Y, Rex DAB, Schuster D, Neely BA, Rosano GL, Volkmar N, Momenzadeh A, Peters-Clarke TM, Egbert SB, Kreimer S, Doud EH, Crook OM, Yadav AK, Vanuopadath M, Mayta ML, Duboff AG, Riley NM, Moritz RL, Meyer JG. Comprehensive Overview of Bottom-Up Proteomics using Mass Spectrometry. ARXIV 2023:arXiv:2311.07791v1. [PMID: 38013887 PMCID: PMC10680866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Proteomics is the large scale study of protein structure and function from biological systems through protein identification and quantification. "Shotgun proteomics" or "bottom-up proteomics" is the prevailing strategy, in which proteins are hydrolyzed into peptides that are analyzed by mass spectrometry. Proteomics studies can be applied to diverse studies ranging from simple protein identification to studies of proteoforms, protein-protein interactions, protein structural alterations, absolute and relative protein quantification, post-translational modifications, and protein stability. To enable this range of different experiments, there are diverse strategies for proteome analysis. The nuances of how proteomic workflows differ may be challenging to understand for new practitioners. Here, we provide a comprehensive overview of different proteomics methods to aid the novice and experienced researcher. We cover from biochemistry basics and protein extraction to biological interpretation and orthogonal validation. We expect this work to serve as a basic resource for new practitioners in the field of shotgun or bottom-up proteomics.
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Affiliation(s)
- Yuming Jiang
- Department of Computational Biomedicine, Cedars Sinai Medical Center
| | - Devasahayam Arokia Balaya Rex
- Center for Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore 575018, India
| | - Dina Schuster
- Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich 8093, Switzerland; Department of Biology, Institute of Molecular Biology and Biophysics, ETH Zurich, Zurich 8093, Switzerland; Laboratory of Biomolecular Research, Division of Biology and Chemistry, Paul Scherrer Institute, Villigen 5232, Switzerland
| | - Benjamin A. Neely
- Chemical Sciences Division, National Institute of Standards and Technology, NIST Charleston · Funded by NIST
| | - Germán L. Rosano
- Mass Spectrometry Unit, Institute of Molecular and Cellular Biology of Rosario, Rosario, Argentina · Funded by Grant PICT 2019-02971 (Agencia I+D+i)
| | - Norbert Volkmar
- Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich 8093, Switzerland
| | - Amanda Momenzadeh
- Department of Computational Biomedicine, Cedars Sinai Medical Center, Los Angeles, California, USA
| | | | - Susan B. Egbert
- Department of Chemistry, University of Manitoba, Winnipeg, Cananda
| | - Simion Kreimer
- Smidt Heart Institute, Cedars Sinai Medical Center; Advanced Clinical Biosystems Research Institute, Cedars Sinai Medical Center
| | - Emma H. Doud
- Center for Proteome Analysis, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Oliver M. Crook
- Oxford Protein Informatics Group, Department of Statistics, University of Oxford, Oxford OX1 3LB, United Kingdom
| | - Amit Kumar Yadav
- Translational Health Science and Technology Institute · Funded by Grant BT/PR16456/BID/7/624/2016 (Department of Biotechnology, India); Grant Translational Research Program (TRP) at THSTI funded by DBT
| | - Muralidharan Vanuopadath
- School of Biotechnology, Amrita Vishwa Vidyapeetham, Kollam-690 525, Kerala, India · Funded by Department of Health Research, Indian Council of Medical Research, Government of India (File No.R.12014/31/2022-HR)
| | - Martín L. Mayta
- School of Medicine and Health Sciences, Center for Health Sciences Research, Universidad Adventista del Plata, Libertador San Martín 3103, Argentina; Molecular Biology Department, School of Pharmacy and Biochemistry, Universidad Nacional de Rosario, Rosario 2000, Argentina
| | - Anna G. Duboff
- Department of Chemistry, University of Washington · Funded by Summer Research Acceleration Fellowship, Department of Chemistry, University of Washington
| | - Nicholas M. Riley
- Department of Chemistry, University of Washington · Funded by National Institutes of Health Grant R00 GM147304
| | - Robert L. Moritz
- Institute for Systems biology, Seattle, WA, USA, 98109 · Funded by National Institutes of Health Grants R01GM087221, R24GM127667, U19AG023122, S10OD026936; National Science Foundation Award 1920268
| | - Jesse G. Meyer
- Department of Computational Biomedicine, Cedars Sinai Medical Center · Funded by National Institutes of Health Grant R21 AG074234; National Institutes of Health Grant R35 GM142502
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Liu F, Endo Y, Romantseva T, Wu WW, Akue A, Shen RF, Golding H, Zaitseva M. T cell-derived soluble glycoprotein GPIbα mediates PGE 2 production in human monocytes activated with the vaccine adjuvant MDP. Sci Signal 2019; 12:12/602/eaat6023. [PMID: 31594856 DOI: 10.1126/scisignal.aat6023] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Vaccine adjuvants containing analogs of microbial products activate pattern recognition receptors (PRRs) on antigen-presenting cells, including monocytes and macrophages, which can cause prostaglandin E2 (PGE2) release and consequently undesired inflammatory responses and fever in vaccine recipients. Here, we studied the mechanism of PGE2 production by human monocytes activated with muramyl dipeptide (MDP) adjuvant, which activates cytosolic nucleotide-binding oligomerization domain 2 (NOD2). In rabbits, administration of MDP elicited an early increase in PGE2 followed by fever. In human monocytes, MDP alone did not induce PGE2 production. However, high amounts of PGE2 and the proinflammatory cytokines IL-1β and IL-6 were secreted by monocytes activated with MDP in the presence of conditioned medium obtained from CD3 bead-isolated T cells (Tc CM) but not from those isolated without CD3 beads. Mass spectrometry and immunoblotting revealed that the costimulatory factor in Tc CM was glycoprotein Ib α (GPIbα). Antibody-mediated blockade of GPIbα or of its receptor, Mac-1 integrin, inhibited the secretion of PGE2, IL-1β, and IL-6 in MDP + Tc CM-activated monocytes, whereas recombinant GPIbα protein increased PGE2 production by MDP-treated monocytes. In vivo, COX2 mRNA abundance was reduced in the liver and spleen of Mac-1 KO mice after administration of MDP compared with that of treated wild-type mice. Our findings suggest that the production of PGE2 and proinflammatory cytokines by MDP-activated monocytes is mediated by cooperation between two signaling pathways: one delivered by MDP through NOD2 and a second through activation of Mac-1 by T cell-derived GPIbα.
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Affiliation(s)
- Fengjie Liu
- Division of Viral Products, Food and Drug Administration, Silver Spring, MD 20993, USA
| | - Yukinori Endo
- Division of Viral Products, Food and Drug Administration, Silver Spring, MD 20993, USA
| | - Tatiana Romantseva
- Division of Viral Products, Food and Drug Administration, Silver Spring, MD 20993, USA
| | - Wells W Wu
- Facility for Biotechnology Resources, Food and Drug Administration, Silver Spring, MD 20993, USA
| | - Adovi Akue
- Flow Cytometry Core, Center for Biologics Evaluation and Research (CBER), Food and Drug Administration, Silver Spring, MD 20993, USA
| | - Rong-Fong Shen
- Facility for Biotechnology Resources, Food and Drug Administration, Silver Spring, MD 20993, USA
| | - Hana Golding
- Division of Viral Products, Food and Drug Administration, Silver Spring, MD 20993, USA
| | - Marina Zaitseva
- Division of Viral Products, Food and Drug Administration, Silver Spring, MD 20993, USA.
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Martin B, Wang R, Cong WN, Daimon CM, Wu WW, Ni B, Becker KG, Lehrmann E, Wood WH, Zhang Y, Etienne H, van Gastel J, Azmi A, Janssens J, Maudsley S. Altered learning, memory, and social behavior in type 1 taste receptor subunit 3 knock-out mice are associated with neuronal dysfunction. J Biol Chem 2017; 292:11508-11530. [PMID: 28522608 DOI: 10.1074/jbc.m116.773820] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2016] [Revised: 05/03/2017] [Indexed: 12/19/2022] Open
Abstract
The type 1 taste receptor member 3 (T1R3) is a G protein-coupled receptor involved in sweet-taste perception. Besides the tongue, the T1R3 receptor is highly expressed in brain areas implicated in cognition, including the hippocampus and cortex. As cognitive decline is often preceded by significant metabolic or endocrinological dysfunctions regulated by the sweet-taste perception system, we hypothesized that a disruption of the sweet-taste perception in the brain could have a key role in the development of cognitive dysfunction. To assess the importance of the sweet-taste receptors in the brain, we conducted transcriptomic and proteomic analyses of cortical and hippocampal tissues isolated from T1R3 knock-out (T1R3KO) mice. The effect of an impaired sweet-taste perception system on cognition functions were examined by analyzing synaptic integrity and performing animal behavior on T1R3KO mice. Although T1R3KO mice did not present a metabolically disrupted phenotype, bioinformatic interpretation of the high-dimensionality data indicated a strong neurodegenerative signature associated with significant alterations in pathways involved in neuritogenesis, dendritic growth, and synaptogenesis. Furthermore, a significantly reduced dendritic spine density was observed in T1R3KO mice together with alterations in learning and memory functions as well as sociability deficits. Taken together our data suggest that the sweet-taste receptor system plays an important neurotrophic role in the extralingual central nervous tissue that underpins synaptic function, memory acquisition, and social behavior.
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Affiliation(s)
- Bronwen Martin
- From the Metabolism Unit, NIA, National Institutes of Health, Baltimore, Maryland 21224
| | - Rui Wang
- From the Metabolism Unit, NIA, National Institutes of Health, Baltimore, Maryland 21224
| | - Wei-Na Cong
- From the Metabolism Unit, NIA, National Institutes of Health, Baltimore, Maryland 21224
| | - Caitlin M Daimon
- From the Metabolism Unit, NIA, National Institutes of Health, Baltimore, Maryland 21224
| | - Wells W Wu
- From the Metabolism Unit, NIA, National Institutes of Health, Baltimore, Maryland 21224
| | - Bin Ni
- the Receptor Pharmacology Unit, NIA, National Institutes of Health, Baltimore, Maryland 21224
| | - Kevin G Becker
- the Gene Expression and Genomics Unit, NIA, National Institutes of Health, Baltimore, Maryland 21224
| | - Elin Lehrmann
- the Gene Expression and Genomics Unit, NIA, National Institutes of Health, Baltimore, Maryland 21224
| | - William H Wood
- the Gene Expression and Genomics Unit, NIA, National Institutes of Health, Baltimore, Maryland 21224
| | - Yongqing Zhang
- the Gene Expression and Genomics Unit, NIA, National Institutes of Health, Baltimore, Maryland 21224
| | - Harmonie Etienne
- the Translational Neurobiology Group, VIB Department of Molecular Genetics, University of Antwerp, AN-2610 Antwerp, Belgium, and.,the Department of Biomedical Sciences, University of Antwerp, AN-2610 Antwerp, Belgium
| | - Jaana van Gastel
- the Translational Neurobiology Group, VIB Department of Molecular Genetics, University of Antwerp, AN-2610 Antwerp, Belgium, and.,the Department of Biomedical Sciences, University of Antwerp, AN-2610 Antwerp, Belgium
| | - Abdelkrim Azmi
- the Translational Neurobiology Group, VIB Department of Molecular Genetics, University of Antwerp, AN-2610 Antwerp, Belgium, and.,the Department of Biomedical Sciences, University of Antwerp, AN-2610 Antwerp, Belgium
| | - Jonathan Janssens
- the Translational Neurobiology Group, VIB Department of Molecular Genetics, University of Antwerp, AN-2610 Antwerp, Belgium, and.,the Department of Biomedical Sciences, University of Antwerp, AN-2610 Antwerp, Belgium
| | - Stuart Maudsley
- the Receptor Pharmacology Unit, NIA, National Institutes of Health, Baltimore, Maryland 21224, .,the Translational Neurobiology Group, VIB Department of Molecular Genetics, University of Antwerp, AN-2610 Antwerp, Belgium, and.,the Department of Biomedical Sciences, University of Antwerp, AN-2610 Antwerp, Belgium
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Sethi S, Chourasia D, Parhar IS. Approaches for targeted proteomics and its potential applications in neuroscience. J Biosci 2016; 40:607-27. [PMID: 26333406 DOI: 10.1007/s12038-015-9537-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
An extensive guide on practicable and significant quantitative proteomic approaches in neuroscience research is important not only because of the existing overwhelming limitations but also for gaining valuable understanding into brain function and deciphering proteomics from the workbench to the bedside. Early methodologies to understand the functioning of biological systems are now improving with high-throughput technologies, which allow analysis of various samples concurrently, or of thousand of analytes in a particular sample. Quantitative proteomic approaches include both gel-based and non-gel-based methods that can be further divided into different labelling approaches. This review will emphasize the role of existing technologies, their advantages and disadvantages, as well as their applications in neuroscience. This review will also discuss advanced approaches for targeted proteomics using isotope-coded affinity tag (ICAT) coupled with laser capture microdissection (LCM) followed by liquid chromatography tandem mass spectrometric (LC-MS/MS) analysis. This technology can further be extended to single cell proteomics in other areas of biological sciences and can be combined with other 'omics' approaches to reveal the mechanism of a cellular alterations. This approach may lead to further investigation in basic biology, disease analysis and surveillance, as well as drug discovery. Although numerous challenges still exist, we are confident that this approach will increase the understanding of pathological mechanisms involved in neuroendocrinology, neuropsychiatric and neurodegenerative disorders by delivering protein biomarker signatures for brain dysfunction.
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Affiliation(s)
- Sumit Sethi
- Brain Research Institute, Jeffrey Cheah School of Medicine and Health Sciences, MONASH University, Selangor Darul Ehsan, Malaysia,
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Yu S, Cai X, Sun L, Zuo Z, Mipam T, Cao S, Shen L, Ren Z, Chen X, Yang F, Deng J, Ma X, Wang Y. Comparative iTRAQ proteomics revealed proteins associated with spermatogenic arrest of cattleyak. J Proteomics 2016; 142:102-13. [DOI: 10.1016/j.jprot.2016.04.049] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2016] [Revised: 04/27/2016] [Accepted: 04/29/2016] [Indexed: 11/15/2022]
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Hsu CH, Hsu CW, Hsueh C, Wang CL, Wu YC, Wu CC, Liu CC, Yu JS, Chang YS, Yu CJ. Identification and Characterization of Potential Biomarkers by Quantitative Tissue Proteomics of Primary Lung Adenocarcinoma. Mol Cell Proteomics 2016; 15:2396-410. [PMID: 27161446 DOI: 10.1074/mcp.m115.057026] [Citation(s) in RCA: 61] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2015] [Indexed: 12/21/2022] Open
Abstract
Lung cancer is the leading cause of cancer-related death worldwide. Both diagnostic and prognostic biomarkers are urgently needed to increase patient survival. In this study, we identified/quantified 1763 proteins from paired adenocarcinoma (ADC) tissues with different extents of lymph node (LN) involvement using an iTRAQ-based quantitative proteomic analysis. Based on a bioinformatics analysis and literature search, we selected six candidates (ERO1L, PABPC4, RCC1, RPS25, NARS, and TARS) from a set of 133 proteins that presented a 1.5-fold increase in expression in ADC tumors without LN metastasis compared with adjacent normal tissues. These six proteins were further verified using immunohistochemical staining and Western blot analyses. The protein levels of these six candidates were higher in tumor tissues compared with adjacent normal tissues. The ERO1L and NARS levels were positively associated with LN metastasis. Importantly, ERO1L overexpression in patients with early-stage ADC was positively correlated with poor survival, suggesting that ERO1L overexpression in primary sites of early-stage cancer tissues indicates a high risk for cancer micrometastasis. Moreover, we found that knockdown of either ERO1L or NARS reduced the viability and migration ability of ADC cells. Our results collectively provide a potential biomarker data set for ADC diagnosis/prognosis and reveal novel roles of ERO1L and NARS in ADC progression.
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Affiliation(s)
| | - Chia-Wei Hsu
- ‖Molecular Medicine Research Center, Chang Gung University, Tao-Yuan, Taiwan
| | - Chuen Hsueh
- ‖Molecular Medicine Research Center, Chang Gung University, Tao-Yuan, Taiwan; **Department of Pathology
| | - Chih-Liang Wang
- ⦀School of Medicine, College of Medicine, ‡‡Division of Pulmonary Oncology and Interventional Bronchoscopy, Department of Thoracic Medicine
| | | | - Chih-Ching Wu
- §Department of Medical Biotechnology and Laboratory Science, and ‖Molecular Medicine Research Center, Chang Gung University, Tao-Yuan, Taiwan; §§§Department of Otolaryngology-Head & Neck Surgery, Chang Gung Memorial Hospital, Linkou, Tao-Yuan, Taiwan
| | | | - Jau-Song Yu
- From the ‡Graduate Institute of Biomedical Sciences, ¶Department of Cell and Molecular Biology, Chang Gung University, Tao-Yuan, Taiwan; ‖Molecular Medicine Research Center, Chang Gung University, Tao-Yuan, Taiwan
| | - Yu-Sun Chang
- From the ‡Graduate Institute of Biomedical Sciences, ‖Molecular Medicine Research Center, Chang Gung University, Tao-Yuan, Taiwan
| | - Chia-Jung Yu
- From the ‡Graduate Institute of Biomedical Sciences, ¶Department of Cell and Molecular Biology, Chang Gung University, Tao-Yuan, Taiwan; ‖Molecular Medicine Research Center, Chang Gung University, Tao-Yuan, Taiwan; ‡‡Division of Pulmonary Oncology and Interventional Bronchoscopy, Department of Thoracic Medicine,
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A study of inter-species ion suppression in electrospray ionization-mass spectrometry of some phospholipid classes. Anal Bioanal Chem 2016; 408:1453-65. [PMID: 26780707 DOI: 10.1007/s00216-015-9245-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2015] [Revised: 11/17/2015] [Accepted: 12/02/2015] [Indexed: 10/22/2022]
Abstract
Phospholipid quantification in biological samples is crucial and is increasingly studied in lipidomics. Quantitative studies are often performed using commercially available standards of phospholipid classes in order to mimic the composition of biological samples. For this, studies are conducted by liquid chromatography coupled to electrospray ionization-mass spectrometry. In liquid chromatography coupled to mass spectrometry (LC-MS) analysis, the matrix components and the co-elution of several phospholipid species lead to the phenomenon of ion suppression. As a result, a decrease in the response of phospholipid species in mass spectrometry MS is observed. In fact, inter-species ion suppression affects the efficiency of phospholipid (PL) ionization and might also influence the quantitative results. The aim of this work is to study the PL inter-species ion suppression phenomenon in electrospray ionization (ESI)-mass spectrometry on a triple quadrupole TQ and an LTQ-Orbitrap in order to improve quantification in natural and biological samples. Thus, the phospholipid MS response was evaluated to study the effect of acyl chain length, the degree, and the position of unsaturation on acyl chain and the effect of the polar head group structure. A number of saturated and unsaturated phospholipid species and mixtures were analyzed in different ionization modes to a better understanding of inter-species ion suppression phenomenon. PL molecular species responded differently according to the length of fatty acid chains, the number of unsaturation, and the nature of the polar head group. Fatty acid chain length showed to have the most marked effect on MS response.
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Cao Z, Evans AR, Robinson RAS. MS(3)-based quantitative proteomics using pulsed-Q dissociation. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2015; 29:1025-1030. [PMID: 26044269 DOI: 10.1002/rcm.7192] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2014] [Revised: 01/31/2015] [Accepted: 03/08/2015] [Indexed: 06/04/2023]
Abstract
RATIONALE Isobaric tagging reagents, such as tandem mass tags (TMT) and isobaric tags for relative and absolute quantitation (iTRAQ), are high-throughput methods that allow the analysis of multiple samples simultaneously, which reduces instrument time and error. Accuracy and precision of isobaric tags are limited, however, in tandem mass spectrometry (MS/MS) acquisition due to co-isolation and co-fragmentation of neighboring peptide peaks in precursor scans. Here we present a MS(3) method using pulsed-Q dissociation (PQD) in ion trap and Orbitrap instrumentation as a means to improve ratio distortion and maintain high numbers of identified and quantified proteins. METHODS Mouse brain protein digests were labeled with TMT-128, 129, 130, 131 reagents, mixed in the following molar ratios 1:1:2:5, respectively, and analyzed using HCD-MS(3) and PQD-MS(3) methods. The most intense fragment ion (termed as HCD-MS(3)-top ion or PQD-MS(3)-top ion) or y1 ion (i.e., lysine-TMT tag ion; termed as HCD-MS(3)-y1 or PQD-MS(3)-y1) in collision-induced dissociation (CID) MS/MS was selected for MS(3). RESULTS Calculated protein ratios obtained in HCD-MS(3)-top ion and PQD-MS(3)-top ion, HCD-MS(3)-y1, and PQD-MS(3)-y1 are accurate and PQD-MS(3) methods resulted in higher numbers of identified and quantified peptide spectral counts and proteins. CONCLUSIONS PQD-MS(3) methods increase the amount of MS/MS spectra collected and number of quantified proteins and are accessible to those researchers with not only an orbitrap but also an ion trap mass spectrometer.
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Affiliation(s)
- Zhiyun Cao
- Department of Chemistry, University of Pittsburgh, Pittsburgh, PA, 15260, USA
| | - Adam R Evans
- Department of Chemistry, University of Pittsburgh, Pittsburgh, PA, 15260, USA
| | - Renã A S Robinson
- Department of Chemistry, University of Pittsburgh, Pittsburgh, PA, 15260, USA
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10
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Wang HJ, Chen SF, Lo WY. iTRAQ quantitative proteomics-based identification of cell adhesion as a dominant phenotypic modulation in thrombin-stimulated human aortic endothelial cells. Thromb Res 2015; 135:944-50. [PMID: 25746365 DOI: 10.1016/j.thromres.2015.02.031] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2014] [Revised: 02/16/2015] [Accepted: 02/24/2015] [Indexed: 10/23/2022]
Abstract
INTRODUCTION The phenotypic changes in thrombin-stimulated endothelial cells include alterations in permeability, cell shape, vasomotor tone, leukocyte trafficking, migration, proliferation, and angiogenesis. Previous studies regarding the pleotropic effects of thrombin on the endothelium used human umbilical vein endothelial cells (HUVECs)-cells derived from fetal tissue that does not exist in adults. Only a few groups have used screening approaches such as microarrays to profile the global effects of thrombin on endothelial cells. Moreover, the proteomic changes of thrombin-stimulated human aortic endothelial cells (HAECs) have not been elucidated. MATERIALS AND METHODS HAECs were stimulated with 2 units/mL thrombin for 5h and their proteome was investigated using isobaric tags for the relative and absolute quantification (iTRAQ) and the MetaCore(TM) software. RESULTS A total of 627 (experiment A) and 622 proteins (experiment B) were quantified in the duplicated iTRAQ analyses. MetaCore(TM) pathway analysis identified cell adhesion as a dominant phenotype in thrombin-stimulated HAECs. Replicated iTRAQ data revealed that "Cell adhesion_Chemokines and adhesion," "Cell adhesion_Histamine H1 receptor signaling in the interruption of cell barrier integrity," and "Cell adhesion_Integrin-mediated cell adhesion and migration" were among the top 10 statistically significant pathways. The cell adhesion phenotype was verified by increased THP-1 adhesion to thrombin-stimulated HAECs. In addition, the expression of ICAM-1, VCAM-1, and SELE was significantly upregulated in thrombin-stimulated HAECs. CONCLUSIONS Several regulatory pathways are altered in thrombin-stimulated HAECs, with cell adhesion being the dominant altered phenotype. Our findings show the feasibility of the iTRAQ technique for evaluating cellular responses to acute stimulation.
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Affiliation(s)
- Huang-Joe Wang
- School of Medicine, China Medical University, Taichung, Taiwan; Division of Cardiology, Department of Medicine, China Medical University Hospital, Taichung, Taiwan
| | - Sung-Fang Chen
- Department of Chemistry, National Taiwan Normal University, Taipei, Taiwan
| | - Wan-Yu Lo
- Graduate Institute of Integrated Medicine, China Medical University, Taichung, Taiwan.
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Lin HR, Wu CC, Wu YH, Hsu CW, Cheng ML, Chiu DTY. Proteome-wide dysregulation by glucose-6-phosphate dehydrogenase (G6PD) reveals a novel protective role for G6PD in aflatoxin B₁-mediated cytotoxicity. J Proteome Res 2013; 12:3434-48. [PMID: 23742107 DOI: 10.1021/pr4002959] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Glucose-6-phosphate dehydrogenase (G6PD) is pivotal to reduced nicotinamide adenine dinucleotide phosphate (NADPH) production and cellular redox balance. Cells with G6PD deficiency are susceptible to oxidant-induced death at high oxidative stress. However, it remains unclear what precise biological processes are affected by G6PD deficiency due to altered cellular redox homeostasis, particularly at low oxidative stress. To further explore the biological role of G6PD, we generated G6PD-knockdown cell clones using lung cancer line A549. We identified proteins differentially expressed in the knockdown clones without the addition of exogenous oxidant by means of isobaric tags for relative and absolute quantification (iTRAQ) labeling coupled with multidimensional liquid chromatography-mass spectrometry (LC-MS/MS). We validated a panel of proteins that showed altered expression in G6PD-knockdown clones and were involved in metabolism of xenobiotic and glutathione (GSH) as well as energy metabolism. To determine the physiological relevancy of our findings, we investigated the functional consequence of G6PD depletion in cells treated with a prevalent xenobiotic, aflatoxin B₁(AFB₁). We found a protective role of G6PD in AFB₁-induced cytotoxicity, possibly via providing NADPH for NADPH oxidase to induce epoxide hydrolase 1 (EPHX1), a xenobiotic-metabolizing enzyme. Collectively, our findings reveal for the first time a proteome-wide dysregulation by G6PD depletion under the condition without exogenous oxidant challenge, and we suggest a novel association of G6PD activity with AFB₁-related xenobiotic metabolism.
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Affiliation(s)
- Hsin-Ru Lin
- Graduate Institute of Biomedical Science, College of Medicine, Chang Gung University, Tao-Yuan, Taiwan
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Systems Analysis of Arrestin Pathway Functions. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2013; 118:431-67. [DOI: 10.1016/b978-0-12-394440-5.00017-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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13
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Guo Y, Wilderman A, Zhang L, Taylor SS, Insel PA. Quantitative proteomics analysis of the cAMP/protein kinase A signaling pathway. Biochemistry 2012; 51:9323-32. [PMID: 23110364 PMCID: PMC3503394 DOI: 10.1021/bi301282k] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
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To define the proteins whose expression is regulated
by cAMP and
protein kinase A (PKA), we used a quantitative proteomics approach
in studies of wild-type (WT) and kin- (PKA-null) S49 murine T lymphoma
cells. We also compared the impact of endogenous increases in the
level of cAMP [by forskolin (Fsk) and the phosphodiesterase inhibitor
isobutylmethylxanthine (IBMX)] or by a cAMP analogue (8-CPT-cAMP).
We identified 1056 proteins in WT and kin- S49 cells and found that
8-CPT-cAMP and Fsk with IBMX produced differences in protein expression.
WT S49 cells had a correlation coefficient of 0.41 between DNA microarray
data and the proteomics analysis in cells incubated with 8-CPT-cAMP
for 24 h and a correlation coefficient of 0.42 between the DNA microarray
data obtained at 6 h and the changes in protein expression after incubation
with 8-CPT-cAMP for 24 h. Glutathione reductase (Gsr) had a higher
level of basal expression in kin- S49 cells than in WT cells. Consistent
with this finding, kin- cells are less sensitive to cell killing and
generation of malondialdehyde than are WT cells incubated with H2O2. Cyclic AMP acting via PKA thus has a broad
impact on protein expression in mammalian cells, including in the
regulation of Gsr and oxidative stress.
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Affiliation(s)
- Yurong Guo
- Department of Chemistry and Biochemistry, University of California at San Diego, La Jolla, California 92093-0654, United States
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