Literature DB >> 20192741

Quantitation in mass-spectrometry-based proteomics.

Waltraud X Schulze1, Björn Usadel.   

Abstract

Mass-spectrometry-based proteomics, the large-scale analysis of proteins by mass spectrometry, has emerged as a new technology over the last decade and become routine in many plant biology laboratories. While early work consisted merely of listing proteins identified in a given organ or under different conditions of interest, there is a growing need to apply comparative and quantitative proteomics strategies toward gaining novel insights into functional aspects of plant proteins and their dynamics. However, during the transition from qualitative to quantitative protein analysis, the potential and challenges will be tightly coupled. Several strategies for differential proteomics that involve stable isotopes or label-free comparisons and their statistical assessment are possible, each having specific strengths and limitations. Furthermore, incomplete proteome coverage and restricted dynamic range still impose the strongest limitations to data throughput and precise quantitative analysis. This review gives an overview of the current state of the art in differential proteomics and possible strategies in data processing.

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Year:  2010        PMID: 20192741     DOI: 10.1146/annurev-arplant-042809-112132

Source DB:  PubMed          Journal:  Annu Rev Plant Biol        ISSN: 1543-5008            Impact factor:   26.379


  108 in total

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2.  Cell type-specific protein and transcription profiles implicate periarbuscular membrane synthesis as an important carbon sink in the mycorrhizal symbiosis.

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Authors:  Ján A Miernyk; Anna Preťová; Adela Olmedilla; Katarína Klubicová; Bohuš Obert; Martin Hajduch
Journal:  Sex Plant Reprod       Date:  2010-09-10

4.  The pros and cons of peptide-centric proteomics.

Authors:  Mark W Duncan; Ruedi Aebersold; Richard M Caprioli
Journal:  Nat Biotechnol       Date:  2010-07       Impact factor: 54.908

5.  Comprehensive characterization of hepatocyte-derived extracellular vesicles identifies direct miRNA-based regulation of hepatic stellate cells and DAMP-based hepatic macrophage IL-1β and IL-17 upregulation in alcoholic hepatitis mice.

Authors:  Akiko Eguchi; Rui Yan; Stephanie Q Pan; Raymond Wu; Jihoon Kim; Yibu Chen; Charles Ansong; Richard D Smith; Mina Tempaku; Lucila Ohno-Machado; Yoshiyuki Takei; Ariel E Feldstein; Hidekazu Tsukamoto
Journal:  J Mol Med (Berl)       Date:  2020-06-18       Impact factor: 4.599

6.  Comparative muscle proteomics/phosphoproteomics analysis provides new insight for the biosafety evaluation of fat-1 transgenic cattle.

Authors:  Xiangbo Xin; Xinfeng Liu; Xin Li; Xiangbin Ding; Shuping Yang; Congfei Jin; Guangpeng Li; Hong Guo
Journal:  Transgenic Res       Date:  2017-07-14       Impact factor: 2.788

7.  Precision, proteome coverage, and dynamic range of Arabidopsis proteome profiling using (15)N metabolic labeling and label-free approaches.

Authors:  Borjana Arsova; Henrik Zauber; Waltraud X Schulze
Journal:  Mol Cell Proteomics       Date:  2012-05-05       Impact factor: 5.911

8.  Quantitative phosphoproteomics after auxin-stimulated lateral root induction identifies an SNX1 protein phosphorylation site required for growth.

Authors:  Hongtao Zhang; Houjiang Zhou; Lidija Berke; Albert J R Heck; Shabaz Mohammed; Ben Scheres; Frank L H Menke
Journal:  Mol Cell Proteomics       Date:  2013-01-17       Impact factor: 5.911

9.  Stable isotope metabolic labeling-based quantitative phosphoproteomic analysis of Arabidopsis mutants reveals ethylene-regulated time-dependent phosphoproteins and putative substrates of constitutive triple response 1 kinase.

Authors:  Zhu Yang; Guangyu Guo; Manyu Zhang; Claire Y Liu; Qin Hu; Henry Lam; Han Cheng; Yu Xue; Jiayang Li; Ning Li
Journal:  Mol Cell Proteomics       Date:  2013-09-16       Impact factor: 5.911

Review 10.  Quantification of histone modifications using ¹⁵N metabolic labeling.

Authors:  Chunchao Zhang; Yifan Liu; Philip C Andrews
Journal:  Methods       Date:  2013-02-27       Impact factor: 3.608

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