Literature DB >> 18937422

Comparisons of mass spectrometry compatible surfactants for global analysis of the mammalian brain proteome.

Emily I Chen1, Daniel McClatchy, Sung Kyu Park, John R Yates.   

Abstract

Methods for the global analysis of protein expression offer an approach to study the molecular basis of disease. Studies of protein expression in tissue, such as brain, are complicated by the need for efficient and unbiased digestion of proteins that permit identification of peptides by shotgun proteomic methods. In particular, identification and characterization of less abundant membrane proteins has been of great interest for studies of brain physiology, but often proteins of interest are of low abundance or exist in multiple isoforms. Parsing protein isoforms as a function of disease will be essential. In this study, we develop a digestion scheme using detergents compatible with mass spectrometry that improves membrane protein identification from brain tissue. We show the modified procedure yields close to 5,000 protein identifications from 1.8 mg of rat brain homogenate with an average of 25% protein sequence coverage. This procedure achieves a remarkable reduction in the amount of starting material required to observe a broad spectrum of membrane proteins. Among the proteins identified from a mammalian brain homogenate, 1897 (35%) proteins are annotated by Gene Ontology as membrane proteins, and 1225 (22.6%) proteins are predicted to contain at least one transmembrane domain. Membrane proteins identified included neurotransmitter receptors and ion channels implicated in important physiological functions and disease.

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Year:  2008        PMID: 18937422      PMCID: PMC2975600          DOI: 10.1021/ac800606w

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  61 in total

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5.  Optimization of mass spectrometry-compatible surfactants for shotgun proteomics.

Authors:  Emily I Chen; Daniel Cociorva; Jeremy L Norris; John R Yates
Journal:  J Proteome Res       Date:  2007-05-27       Impact factor: 4.466

6.  Toward the complete membrane proteome: high coverage of integral membrane proteins through transmembrane peptide detection.

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8.  Proteomic mapping of brain plasma membrane proteins.

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Journal:  Mol Cell Proteomics       Date:  2005-01-30       Impact factor: 5.911

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10.  Voltage-gated ion channel Nav1.7 innervation in patients with idiopathic rectal hypersensitivity and paroxysmal extreme pain disorder (familial rectal pain).

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Journal:  Neurosci Lett       Date:  2007-09-20       Impact factor: 3.046

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  31 in total

Review 1.  Proteomics: a pragmatic perspective.

Authors:  Parag Mallick; Bernhard Kuster
Journal:  Nat Biotechnol       Date:  2010-07-09       Impact factor: 54.908

Review 2.  Thematic review series: proteomics. Proteomic analysis of lipid-protein complexes.

Authors:  Tomas Vaisar
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3.  Quantitative assessment of in-solution digestion efficiency identifies optimal protocols for unbiased protein analysis.

Authors:  Ileana R León; Veit Schwämmle; Ole N Jensen; Richard R Sprenger
Journal:  Mol Cell Proteomics       Date:  2013-06-21       Impact factor: 5.911

4.  Improved recovery and identification of membrane proteins from rat hepatic cells using a centrifugal proteomic reactor.

Authors:  Hu Zhou; Fangjun Wang; Yuwei Wang; Zhibin Ning; Weimin Hou; Theodore G Wright; Meenakshi Sundaram; Shumei Zhong; Zemin Yao; Daniel Figeys
Journal:  Mol Cell Proteomics       Date:  2011-07-12       Impact factor: 5.911

5.  Benchtop-compatible sample processing workflow for proteome profiling of < 100 mammalian cells.

Authors:  Kerui Xu; Yiran Liang; Paul D Piehowski; Maowei Dou; Kaitlynn C Schwarz; Rui Zhao; Ryan L Sontag; Ronald J Moore; Ying Zhu; Ryan T Kelly
Journal:  Anal Bioanal Chem       Date:  2018-11-20       Impact factor: 4.142

Review 6.  Protein analysis by shotgun/bottom-up proteomics.

Authors:  Yaoyang Zhang; Bryan R Fonslow; Bing Shan; Moon-Chang Baek; John R Yates
Journal:  Chem Rev       Date:  2013-02-26       Impact factor: 60.622

7.  Minimal, encapsulated proteomic-sample processing applied to copy-number estimation in eukaryotic cells.

Authors:  Nils A Kulak; Garwin Pichler; Igor Paron; Nagarjuna Nagaraj; Matthias Mann
Journal:  Nat Methods       Date:  2014-02-02       Impact factor: 28.547

8.  New mass-spectrometry-compatible degradable surfactant for tissue proteomics.

Authors:  Ying-Hua Chang; Zachery R Gregorich; Albert J Chen; Leekyoung Hwang; Huseyin Guner; Deyang Yu; Jianyi Zhang; Ying Ge
Journal:  J Proteome Res       Date:  2015-01-30       Impact factor: 4.466

9.  Dynamics of the beta2-adrenergic G-protein coupled receptor revealed by hydrogen-deuterium exchange.

Authors:  Xi Zhang; Ellen Y T Chien; Michael J Chalmers; Bruce D Pascal; Jovylyn Gatchalian; Raymond C Stevens; Patrick R Griffin
Journal:  Anal Chem       Date:  2010-02-01       Impact factor: 6.986

10.  Shotgun proteomics in neuroscience.

Authors:  Lujian Liao; Daniel B McClatchy; John R Yates
Journal:  Neuron       Date:  2009-07-16       Impact factor: 17.173

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