Literature DB >> 23878402

Rapid and deep human proteome analysis by single-dimension shotgun proteomics.

Mohammad Pirmoradian1, Harshavardhan Budamgunta, Konstantin Chingin, Bo Zhang, Juan Astorga-Wells, Roman A Zubarev.   

Abstract

Multiparameter optimization of an LC-MS/MS shotgun proteomics experiment was performed without any hardware or software modification of the commercial instrument. Under the optimized experimental conditions, with a 50-cm-long separation column and a 4-h LC-MS run (including a 3-h optimized gradient), 4,825 protein groups and 37,550 peptides were identified in a single run and 5,354 protein groups and 56,390 peptides in a triplicate analysis of the A375 human cell line, for approximately 50% coverage of the expressed proteome. The major steps enabling such performance included optimization of the cell lysis and protein extraction, digestion of even insoluble cell debris, tailoring the LC gradient profile, and choosing the optimal dynamic exclusion window in data-dependent MS/MS, as well as the optimal m/z scan window.

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Year:  2013        PMID: 23878402      PMCID: PMC3820943          DOI: 10.1074/mcp.O113.028787

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  32 in total

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2.  In-house construction of a UHPLC system enabling the identification of over 4000 protein groups in a single analysis.

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3.  Combination of FASP and StageTip-based fractionation allows in-depth analysis of the hippocampal membrane proteome.

Authors:  Jacek R Wiśniewski; Alexandre Zougman; Matthias Mann
Journal:  J Proteome Res       Date:  2009-12       Impact factor: 4.466

4.  Ultrahigh-pressure reversed-phase capillary liquid chromatography: isocratic and gradient elution using columns packed with 1.0-micron particles.

Authors:  J E MacNair; K D Patel; J W Jorgenson
Journal:  Anal Chem       Date:  1999-02-01       Impact factor: 6.986

5.  Ultra-high-pressure RPLC hyphenated to an LTQ-Orbitrap Velos reveals a linear relation between peak capacity and number of identified peptides.

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Journal:  Anal Chem       Date:  2011-03-09       Impact factor: 6.986

6.  Characterization of human melanoma cell lines and melanocytes by proteome analysis.

Authors:  Emilia Caputo; Luigi Maiorana; Valeria Vasta; Franca M Pezzino; Sudhir Sunkara; Kieran Wynne; Giuliano Elia; Francesco M Marincola; James A McCubrey; Massimo Libra; Salvatore Travali; Marian Kane
Journal:  Cell Cycle       Date:  2011-09-01       Impact factor: 4.534

Review 7.  The challenge of the proteome dynamic range and its implications for in-depth proteomics.

Authors:  Roman A Zubarev
Journal:  Proteomics       Date:  2013-03       Impact factor: 3.984

8.  Deep and highly sensitive proteome coverage by LC-MS/MS without prefractionation.

Authors:  Suman S Thakur; Tamar Geiger; Bhaswati Chatterjee; Peter Bandilla; Florian Fröhlich; Juergen Cox; Matthias Mann
Journal:  Mol Cell Proteomics       Date:  2011-05-17       Impact factor: 5.911

9.  The quantitative proteome of a human cell line.

Authors:  Martin Beck; Alexander Schmidt; Johan Malmstroem; Manfred Claassen; Alessandro Ori; Anna Szymborska; Franz Herzog; Oliver Rinner; Jan Ellenberg; Ruedi Aebersold
Journal:  Mol Syst Biol       Date:  2011-11-08       Impact factor: 11.429

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  38 in total

1.  Comprehensive and reproducible phosphopeptide enrichment using iron immobilized metal ion affinity chromatography (Fe-IMAC) columns.

Authors:  Benjamin Ruprecht; Heiner Koch; Guillaume Medard; Max Mundt; Bernhard Kuster; Simone Lemeer
Journal:  Mol Cell Proteomics       Date:  2014-11-13       Impact factor: 5.911

2.  DeMix-Q: Quantification-Centered Data Processing Workflow.

Authors:  Bo Zhang; Lukas Käll; Roman A Zubarev
Journal:  Mol Cell Proteomics       Date:  2016-01-04       Impact factor: 5.911

3.  Highly reproducible improved label-free quantitative analysis of cellular phosphoproteome by optimization of LC-MS/MS gradient and analytical column construction.

Authors:  Nagib Ahsan; Judson Belmont; Zhuo Chen; James G Clifton; Arthur R Salomon
Journal:  J Proteomics       Date:  2017-06-17       Impact factor: 4.044

4.  Large-Scale Targeted Proteomics Using Internal Standard Triggered-Parallel Reaction Monitoring (IS-PRM).

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Journal:  Mol Cell Proteomics       Date:  2015-03-09       Impact factor: 5.911

5.  Deep Profiling of Proteome and Phosphoproteome by Isobaric Labeling, Extensive Liquid Chromatography, and Mass Spectrometry.

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Journal:  Methods Enzymol       Date:  2016-12-24       Impact factor: 1.600

6.  The Value of Activated Ion Electron Transfer Dissociation for High-Throughput Top-Down Characterization of Intact Proteins.

Authors:  Nicholas M Riley; Jacek W Sikora; Henrique S Seckler; Joseph B Greer; Ryan T Fellers; Richard D LeDuc; Michael S Westphall; Paul M Thomas; Neil L Kelleher; Joshua J Coon
Journal:  Anal Chem       Date:  2018-07-05       Impact factor: 6.986

7.  Ion mobility tandem mass spectrometry enhances performance of bottom-up proteomics.

Authors:  Dominic Helm; Johannes P C Vissers; Christopher J Hughes; Hannes Hahne; Benjamin Ruprecht; Fiona Pachl; Arkadiusz Grzyb; Keith Richardson; Jason Wildgoose; Stefan K Maier; Harald Marx; Mathias Wilhelm; Isabelle Becher; Simone Lemeer; Marcus Bantscheff; James I Langridge; Bernhard Kuster
Journal:  Mol Cell Proteomics       Date:  2014-08-08       Impact factor: 5.911

8.  Zoledronic acid boosts γδ T-cell activity in children receiving αβ+ T and CD19+ cell-depleted grafts from an HLA-haplo-identical donor.

Authors:  A Bertaina; A Zorzoli; A Petretto; G Barbarito; E Inglese; P Merli; C Lavarello; L P Brescia; B De Angelis; G Tripodi; L Moretta; F Locatelli; I Airoldi
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9.  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

10.  Systematic identification of arsenic-binding proteins reveals that hexokinase-2 is inhibited by arsenic.

Authors:  Hai-Nan Zhang; Lina Yang; Jian-Ya Ling; Daniel M Czajkowsky; Jing-Fang Wang; Xiao-Wei Zhang; Yi-Ming Zhou; Feng Ge; Ming-Kun Yang; Qian Xiong; Shu-Juan Guo; Huang-Ying Le; Song-Fang Wu; Wei Yan; Bingya Liu; Heng Zhu; Zhu Chen; Sheng-Ce Tao
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-23       Impact factor: 11.205

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