Literature DB >> 32343560

27-Plex Tandem Mass Tag Mass Spectrometry for Profiling Brain Proteome in Alzheimer's Disease.

Zhen Wang1, Kaiwen Yu1, Haiyan Tan2, Zhiping Wu1, Ji-Hoon Cho2, Xian Han1,3, Huan Sun1, Thomas G Beach4, Junmin Peng1,2.   

Abstract

Multiplexed isobaric labeling methods, such as tandem mass tags (TMT), remarkably improve the throughput of quantitative mass spectrometry. Here, we present a 27-plex TMT method coupled with two-dimensional liquid chromatography (LC/LC) for extensive peptide fractionation and high-resolution tandem mass spectrometry (MS/MS) for peptide quantification and then apply the method to profile the complex human brain proteome of Alzheimer's disease (AD). The 27-plex method combines multiplexed capacities of the 11-plex and the 16-plex TMT, as the peptides labeled by the two TMT sets display different mass and hydrophobicity, which can be well separated in LC-MS/MS. We first systematically optimized the protocol for the newly developed 16-plex TMT, including labeling reaction, desalting, and MS conditions, and then directly compared the 11-plex and 16-plex methods by analyzing the same human AD samples. Both methods yielded similar proteome coverage, analyzing >100 000 peptides in >10 000 human proteins. Furthermore, the 11-plex and 16-plex samples were mixed for a 27-plex assay, resulting in more than 8000 protein measurements within the same MS time. The 27-plex results are highly consistent with those of the individual 11-plex and 16-plex TMT analyses. We also used these proteomics data sets to compare the AD brain with the nondementia controls, discovering major AD-related proteins and revealing numerous novel protein alterations enriched in the pathways of amyloidosis, immunity, mitochondrial, and synaptic functions. Overall, our data strongly demonstrate that this new 27-plex strategy is highly feasible for routine large-scale proteomic analysis.

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Year:  2020        PMID: 32343560      PMCID: PMC8176402          DOI: 10.1021/acs.analchem.0c00655

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


  45 in total

1.  Increased N,N-Dimethyl Leucine Isobaric Tag Multiplexing by a Combined Precursor Isotopic Labeling and Isobaric Tagging Approach.

Authors:  Dustin C Frost; Clayton J Rust; Renã A S Robinson; Lingjun Li
Journal:  Anal Chem       Date:  2018-09-04       Impact factor: 6.986

2.  Increasing the multiplexing capacity of TMTs using reporter ion isotopologues with isobaric masses.

Authors:  Graeme C McAlister; Edward L Huttlin; Wilhelm Haas; Lily Ting; Mark P Jedrychowski; John C Rogers; Karsten Kuhn; Ian Pike; Robert A Grothe; Justin D Blethrow; Steven P Gygi
Journal:  Anal Chem       Date:  2012-08-20       Impact factor: 6.986

3.  In vivo brain GPCR signaling elucidated by phosphoproteomics.

Authors:  Jeffrey J Liu; Kirti Sharma; Luca Zangrandi; Chongguang Chen; Sean J Humphrey; Yi-Ting Chiu; Mariana Spetea; Lee-Yuan Liu-Chen; Christoph Schwarzer; Matthias Mann
Journal:  Science       Date:  2018-06-22       Impact factor: 47.728

4.  Defining the consequences of genetic variation on a proteome-wide scale.

Authors:  Joel M Chick; Steven C Munger; Petr Simecek; Edward L Huttlin; Kwangbom Choi; Daniel M Gatti; Narayanan Raghupathy; Karen L Svenson; Gary A Churchill; Steven P Gygi
Journal:  Nature       Date:  2016-06-15       Impact factor: 49.962

5.  Peptide labeling with isobaric tags yields higher identification rates using iTRAQ 4-plex compared to TMT 6-plex and iTRAQ 8-plex on LTQ Orbitrap.

Authors:  Peter Pichler; Thomas Köcher; Johann Holzmann; Michael Mazanek; Thomas Taus; Gustav Ammerer; Karl Mechtler
Journal:  Anal Chem       Date:  2010-08-01       Impact factor: 6.986

6.  MS3 eliminates ratio distortion in isobaric multiplexed quantitative proteomics.

Authors:  Lily Ting; Ramin Rad; Steven P Gygi; Wilhelm Haas
Journal:  Nat Methods       Date:  2011-10-02       Impact factor: 28.547

7.  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

8.  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

Review 9.  Trends in the Design of New Isobaric Labeling Reagents for Quantitative Proteomics.

Authors:  Remigiusz Bąchor; Mateusz Waliczek; Piotr Stefanowicz; Zbigniew Szewczuk
Journal:  Molecules       Date:  2019-02-15       Impact factor: 4.411

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  21 in total

Review 1.  Proteome-Scale Analysis of Protein S-Acylation Comes of Age.

Authors:  Yang Wang; Wei Yang
Journal:  J Proteome Res       Date:  2020-11-30       Impact factor: 4.466

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.  Studying Autophagy Using a TMT-Based Quantitative Proteomics Approach.

Authors:  Kiran Bala Sharma; Suruchi Aggarwal; Amit Kumar Yadav; Sudhanshu Vrati; Manjula Kalia
Journal:  Methods Mol Biol       Date:  2022

4.  Peripheral apoE4 enhances Alzheimer's pathology and impairs cognition by compromising cerebrovascular function.

Authors:  Chia-Chen Liu; Jing Zhao; Yuan Fu; Yasuteru Inoue; Yingxue Ren; Yuanxin Chen; Sydney V Doss; Francis Shue; Suren Jeevaratnam; Ligia Bastea; Na Wang; Yuka A Martens; Wenhui Qiao; Minghui Wang; Na Zhao; Lin Jia; Yu Yamazaki; Akari Yamazaki; Cassandra L Rosenberg; Zhen Wang; Dehui Kong; Zonghua Li; Lindsey A Kuchenbecker; Zachary A Trottier; Lindsey Felton; Justin Rogers; Zachary S Quicksall; Cynthia Linares; Joshua Knight; Yixing Chen; Aishe Kurti; Takahisa Kanekiyo; John D Fryer; Yan W Asmann; Peter Storz; Xusheng Wang; Junmin Peng; Bin Zhang; Betty Y S Kim; Guojun Bu
Journal:  Nat Neurosci       Date:  2022-08-01       Impact factor: 28.771

Review 5.  Applications of Tandem Mass Spectrometry (MS/MS) in Protein Analysis for Biomedical Research.

Authors:  Anca-Narcisa Neagu; Madhuri Jayathirtha; Emma Baxter; Mary Donnelly; Brindusa Alina Petre; Costel C Darie
Journal:  Molecules       Date:  2022-04-08       Impact factor: 4.927

Review 6.  Advances in proteomic profiling of pediatric kidney diseases.

Authors:  Timothy D Cummins; Erik A Korte; Sagar Bhayana; Michael L Merchant; Michelle T Barati; William E Smoyer; Jon B Klein
Journal:  Pediatr Nephrol       Date:  2022-02-26       Impact factor: 3.651

7.  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

8.  Identification of histone acetylation in a murine model of allergic asthma by proteomic analysis.

Authors:  Yuan Ren; Menglu Li; Shiyao Bai; Lingfei Kong; Xinming Su
Journal:  Exp Biol Med (Maywood)       Date:  2020-12-16

9.  Exposing the Brain Proteomic Signatures of Alzheimer's Disease in Diverse Racial Groups: Leveraging Multiple Data Sets and Machine Learning.

Authors:  Heather Desaire; Kaitlyn E Stepler; Renã A S Robinson
Journal:  J Proteome Res       Date:  2022-03-11       Impact factor: 5.370

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

Authors:  Danting Liu; Shu Yang; Kanisha Kavdia; Jeffrey M Sifford; Zhiping Wu; Boer Xie; Zhen Wang; Vishwajeeth R Pagala; Hong Wang; Kaiwen Yu; Kaushik Kumar Dey; Anthony A High; Geidy E Serrano; Thomas G Beach; Junmin Peng
Journal:  J Proteome Res       Date:  2020-11-11       Impact factor: 4.466

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