Literature DB >> 29286450

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification.

Anthony A High1, Haiyan Tan2, Vishwajeeth R Pagala2, Mingming Niu3, Ji-Hoon Cho2, Xusheng Wang2, Bing Bai4, Junmin Peng5.   

Abstract

Many exceptional advances have been made in mass spectrometry (MS)-based proteomics, with particular technical progress in liquid chromatography (LC) coupled to tandem mass spectrometry (LC-MS/MS) and isobaric labeling multiplexing capacity. Here, we introduce a deep-proteomics profiling protocol that combines 10-plex tandem mass tag (TMT) labeling with an extensive LC/LC-MS/MS platform, and post-MS computational interference correction to accurately quantitate whole proteomes. This protocol includes the following main steps: protein extraction and digestion, TMT labeling, 2-dimensional (2D) LC, high-resolution mass spectrometry, and computational data processing. Quality control steps are included for troubleshooting and evaluating experimental variation. More than 10,000 proteins in mammalian samples can be confidently quantitated with this protocol. This protocol can also be applied to the quantitation of post translational modifications with minor changes. This multiplexed, robust method provides a powerful tool for proteomic analysis in a variety of complex samples, including cell culture, animal tissues, and human clinical specimens.

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Year:  2017        PMID: 29286450      PMCID: PMC5755397          DOI: 10.3791/56474

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  36 in total

1.  Quantitative protein analysis by mass spectrometry.

Authors:  Vishwajeeth R Pagala; Anthony A High; Xusheng Wang; Haiyan Tan; Kiran Kodali; Ashutosh Mishra; Kanisha Kavdia; Yanji Xu; Zhiping Wu; Junmin Peng
Journal:  Methods Mol Biol       Date:  2015

2.  Sequential Elution Interactome Analysis of the Mind Bomb 1 Ubiquitin Ligase Reveals a Novel Role in Dendritic Spine Outgrowth.

Authors:  Joseph Mertz; Haiyan Tan; Vishwajeeth Pagala; Bing Bai; Ping-Chung Chen; Yuxin Li; Ji-Hoon Cho; Timothy Shaw; Xusheng Wang; Junmin Peng
Journal:  Mol Cell Proteomics       Date:  2015-04-30       Impact factor: 5.911

3.  An off-line high pH reversed-phase fractionation and nano-liquid chromatography-mass spectrometry method for global proteomic profiling of cell lines.

Authors:  Hang Wang; Shengnan Sun; Yi Zhang; Si Chen; Ping Liu; Bin Liu
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2014-11-04       Impact factor: 3.205

4.  Global ubiquitination analysis by SILAC in mammalian cells.

Authors:  Zhiping Wu; Chan Hyun Na; Haiyan Tan; Junmin Peng
Journal:  Methods Mol Biol       Date:  2014

5.  JUMP: a tag-based database search tool for peptide identification with high sensitivity and accuracy.

Authors:  Xusheng Wang; Yuxin Li; Zhiping Wu; Hong Wang; Haiyan Tan; Junmin Peng
Journal:  Mol Cell Proteomics       Date:  2014-09-08       Impact factor: 5.911

6.  Integrative Proteomics and Phosphoproteomics Profiling Reveals Dynamic Signaling Networks and Bioenergetics Pathways Underlying T Cell Activation.

Authors:  Haiyan Tan; Kai Yang; Yuxin Li; Timothy I Shaw; Yanyan Wang; Daniel Bastardo Blanco; Xusheng Wang; Ji-Hoon Cho; Hong Wang; Sherri Rankin; Cliff Guy; Junmin Peng; Hongbo Chi
Journal:  Immunity       Date:  2017-03-09       Impact factor: 31.745

7.  Refined phosphopeptide enrichment by phosphate additive and the analysis of human brain phosphoproteome.

Authors:  Haiyan Tan; Zhiping Wu; Hong Wang; Bing Bai; Yuxin Li; Xusheng Wang; Bo Zhai; Thomas G Beach; Junmin Peng
Journal:  Proteomics       Date:  2014-12-15       Impact factor: 3.984

8.  Gas-phase purification enables accurate, multiplexed proteome quantification with isobaric tagging.

Authors:  Craig D Wenger; M Violet Lee; Alexander S Hebert; Graeme C McAlister; Douglas H Phanstiel; Michael S Westphall; Joshua J Coon
Journal:  Nat Methods       Date:  2011-10-02       Impact factor: 28.547

9.  Integrated approaches for analyzing U1-70K cleavage in Alzheimer's disease.

Authors:  Bing Bai; Ping-Chung Chen; Chadwick M Hales; Zhiping Wu; Vishwajeeth Pagala; Anthony A High; Allan I Levey; James J Lah; Junmin Peng
Journal:  J Proteome Res       Date:  2014-06-13       Impact factor: 4.466

10.  Assessing the clinical utility of cancer genomic and proteomic data across tumor types.

Authors:  Yuan Yuan; Eliezer M Van Allen; Larsson Omberg; Nikhil Wagle; Ali Amin-Mansour; Artem Sokolov; Lauren A Byers; Yanxun Xu; Kenneth R Hess; Lixia Diao; Leng Han; Xuelin Huang; Michael S Lawrence; John N Weinstein; Josh M Stuart; Gordon B Mills; Levi A Garraway; Adam A Margolin; Gad Getz; Han Liang
Journal:  Nat Biotechnol       Date:  2014-06-22       Impact factor: 54.908

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  6 in total

Review 1.  Sample Multiplexing Strategies in Quantitative Proteomics.

Authors:  Albert B Arul; Renã A S Robinson
Journal:  Anal Chem       Date:  2018-12-18       Impact factor: 6.986

2.  Proteomic Profiling of Cerebrospinal Fluid by 16-Plex TMT-Based Mass Spectrometry.

Authors:  Kaushik Kumar Dey; Huan Sun; Zhen Wang; Mingming Niu; Hong Wang; Yun Jiao; Xiaojun Sun; Yuxin Li; Junmin Peng
Journal:  Methods Mol Biol       Date:  2022

3.  Quantitative Mass Spectrometry Normalization in Urine Biomarker Analysis in Nephrotic Syndrome.

Authors:  Timothy D Cummins; David W Powell; Daniel W Wilkey; Makayla Brady; Fredrick W Benz; Michelle T Barati; Dawn J Caster; Jon B Klein; Michael L Merchant
Journal:  Glomerular Dis       Date:  2022-01-27

4.  JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics.

Authors:  David Vanderwall; Poudel Suresh; Yingxue Fu; Ji-Hoon Cho; Timothy I Shaw; Ashutosh Mishra; Anthony A High; Junmin Peng; Yuxin Li
Journal:  J Vis Exp       Date:  2021-10-19       Impact factor: 1.424

5.  Evaluation of Differential Peptide Loading on Tandem Mass Tag-Based Proteomic and Phosphoproteomic Data Quality.

Authors:  James A Sanford; Yang Wang; Joshua R Hansen; Marina A Gritsenko; Karl K Weitz; Tyler J Sagendorf; Cristina E Tognon; Vladislav A Petyuk; Wei-Jun Qian; Tao Liu; Brian J Druker; Karin D Rodland; Paul D Piehowski
Journal:  J Am Soc Mass Spectrom       Date:  2021-11-23       Impact factor: 3.109

6.  Proteomic analysis revealed common, unique and systemic signatures in gender-dependent hepatocarcinogenesis.

Authors:  Huiling Li; Zhuona Rong; Hong Wang; Nan Zhang; Chunwen Pu; Yi Zhao; Xu Zheng; Chuanyi Lei; Yang Liu; Xiaoqin Luo; Jun Chen; Fujin Wang; Aiguo Wang; Jingyu Wang
Journal:  Biol Sex Differ       Date:  2020-08-13       Impact factor: 5.027

  6 in total

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