Literature DB >> 33175545

Deep Profiling of Microgram-Scale Proteome by Tandem Mass Tag Mass Spectrometry.

Danting Liu1, Shu Yang1, Kanisha Kavdia2, Jeffrey M Sifford1, Zhiping Wu1, Boer Xie2, Zhen Wang1, Vishwajeeth R Pagala2, Hong Wang2, Kaiwen Yu1, Kaushik Kumar Dey1, Anthony A High2, Geidy E Serrano3, Thomas G Beach3, Junmin Peng1,2.   

Abstract

Tandem mass tag (TMT)-based mass spectrometry (MS) enables deep proteomic profiling of more than 10,000 proteins in complex biological samples but requires up to 100 μg protein in starting materials during a standard analysis. Here, we present a streamlined protocol to quantify more than 9000 proteins with 0.5 μg protein per sample by 16-plex TMT coupled with two-dimensional liquid chromatography and tandem mass spectrometry (LC/LC-MS/MS). In this protocol, we optimized multiple conditions to reduce sample loss, including processing each sample in a single tube to minimize surface adsorption, increasing digestion enzymes to shorten proteolysis and function as carriers, eliminating a desalting step between digestion and TMT labeling, and developing miniaturized basic pH LC for prefractionation. By profiling 16 identical human brain tissue samples of Alzheimer's disease (AD), vascular dementia (VaD), and non-dementia controls, we directly compared this new microgram-scale protocol to the standard-scale protocol, quantifying 9116 and 10,869 proteins, respectively. Importantly, bioinformatics analysis indicated that the microgram-scale protocol had adequate sensitivity and reproducibility to detect differentially expressed proteins in disease-related pathways. Thus, this newly developed protocol is of general application for deep proteomics analysis of biological and clinical samples at sub-microgram levels.

Entities:  

Keywords:  Alzheimer’s disease; TMT; isobaric labeling; liquid chromatography; mass spectrometry; nanoscale; proteome; proteomics; single cell proteomics; vascular dementia

Mesh:

Substances:

Year:  2020        PMID: 33175545      PMCID: PMC8262114          DOI: 10.1021/acs.jproteome.0c00426

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  58 in total

1.  Automation of nanoscale microcapillary liquid chromatography-tandem mass spectrometry with a vented column.

Authors:  Lawrence J Licklider; Carson C Thoreen; Junmin Peng; Steven P Gygi
Journal:  Anal Chem       Date:  2002-07-01       Impact factor: 6.986

2.  Delayed fragmentation and optimized isolation width settings for improvement of protein identification and accuracy of isobaric mass tag quantification on Orbitrap-type mass spectrometers.

Authors:  Mikhail M Savitski; Gavain Sweetman; Manor Askenazi; Jarrod A Marto; Manja Lang; Nico Zinn; Marcus Bantscheff
Journal:  Anal Chem       Date:  2011-11-04       Impact factor: 6.986

3.  Measuring and managing ratio compression for accurate iTRAQ/TMT quantification.

Authors:  Mikhail M Savitski; Toby Mathieson; Nico Zinn; Gavain Sweetman; Carola Doce; Isabelle Becher; Fiona Pachl; Bernhard Kuster; Marcus Bantscheff
Journal:  J Proteome Res       Date:  2013-07-02       Impact factor: 4.466

4.  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

Review 5.  Mass-spectrometric exploration of proteome structure and function.

Authors:  Ruedi Aebersold; Matthias Mann
Journal:  Nature       Date:  2016-09-15       Impact factor: 49.962

6.  Plasma microparticles in Alzheimer's disease: The role of vascular dysfunction.

Authors:  Soheila Hosseinzadeh; Maryam Noroozian; Esmaeil Mortaz; Kazem Mousavizadeh
Journal:  Metab Brain Dis       Date:  2017-12-05       Impact factor: 3.584

7.  The ABCs of PTMs.

Authors:  Karl W Barber; Jesse Rinehart
Journal:  Nat Chem Biol       Date:  2018-02-14       Impact factor: 15.040

8.  TMTpro reagents: a set of isobaric labeling mass tags enables simultaneous proteome-wide measurements across 16 samples.

Authors:  Jiaming Li; Jonathan G Van Vranken; Laura Pontano Vaites; Devin K Schweppe; Edward L Huttlin; Chris Etienne; Premchendar Nandhikonda; Rosa Viner; Aaron M Robitaille; Andrew H Thompson; Karsten Kuhn; Ian Pike; Ryan D Bomgarden; John C Rogers; Steven P Gygi; Joao A Paulo
Journal:  Nat Methods       Date:  2020-03-16       Impact factor: 28.547

9.  High-resolution enabled 12-plex DiLeu isobaric tags for quantitative proteomics.

Authors:  Dustin C Frost; Tyler Greer; Lingjun Li
Journal:  Anal Chem       Date:  2014-12-08       Impact factor: 6.986

10.  Benchmarking common quantification strategies for large-scale phosphoproteomics.

Authors:  Alexander Hogrebe; Louise von Stechow; Dorte B Bekker-Jensen; Brian T Weinert; Christian D Kelstrup; Jesper V Olsen
Journal:  Nat Commun       Date:  2018-03-13       Impact factor: 14.919

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  4 in total

1.  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

2.  Deep Single-Cell-Type Proteome Profiling of Mouse Brain by Nonsurgical AAV-Mediated Proximity Labeling.

Authors:  Xiaojun Sun; Huan Sun; Xian Han; Ping-Chung Chen; Yun Jiao; Zhiping Wu; Xue Zhang; Zhen Wang; Mingming Niu; Kaiwen Yu; Danting Liu; Kaushik Kumar Dey; Ariana Mancieri; Yingxue Fu; Ji-Hoon Cho; Yuxin Li; Suresh Poudel; Tess C Branon; Alice Y Ting; Junmin Peng
Journal:  Anal Chem       Date:  2022-03-22       Impact factor: 8.008

3.  Single-Shot 10K Proteome Approach: Over 10,000 Protein Identifications by Data-Independent Acquisition-Based Single-Shot Proteomics with Ion Mobility Spectrometry.

Authors:  Yusuke Kawashima; Hirotaka Nagai; Ryo Konno; Masaki Ishikawa; Daisuke Nakajima; Hironori Sato; Ren Nakamura; Tomoyuki Furuyashiki; Osamu Ohara
Journal:  J Proteome Res       Date:  2022-05-06       Impact factor: 5.370

4.  Structural analysis of the full-length human LRRK2.

Authors:  Alexander Myasnikov; Hanwen Zhu; Patricia Hixson; Boer Xie; Kaiwen Yu; Aaron Pitre; Junmin Peng; Ji Sun
Journal:  Cell       Date:  2021-06-08       Impact factor: 66.850

  4 in total

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