Literature DB >> 21635977

Protein identification using MS/MS data.

John S Cottrell1.   

Abstract

The subject of this tutorial is protein identification and characterisation by database searching of MS/MS Data. Peptide Mass Fingerprinting is excluded because it is covered in a separate tutorial. Practical aspects of database searching are emphasised, such as choice of sequence database, effect of mass tolerance, and how to identify post-translational modifications. The relationship between sensitivity and specificity is discussed, as is the challenge of using peptide match information to infer which proteins were present in the sample. Since these tutorials are introductory in nature, most references are to reviews, rather than primary research papers. Some familiarity with mass spectrometry and protein chemistry is assumed. There is an accompanying slide presentation, including speaker notes, and a collection of web-based, practical exercises, designed to reinforce key points. This Tutorial is part of the International Proteomics Tutorial Programme (IPTP 6).
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21635977     DOI: 10.1016/j.jprot.2011.05.014

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  42 in total

Review 1.  A face in the crowd: recognizing peptides through database search.

Authors:  Jimmy K Eng; Brian C Searle; Karl R Clauser; David L Tabb
Journal:  Mol Cell Proteomics       Date:  2011-08-29       Impact factor: 5.911

2.  Comprehensive tracking of host cell proteins during monoclonal antibody purifications using mass spectrometry.

Authors:  Qingchun Zhang; Andrew M Goetze; Huanchun Cui; Jenna Wylie; Steve Trimble; Art Hewig; Gregory C Flynn
Journal:  MAbs       Date:  2014-02-11       Impact factor: 5.857

Review 3.  Recent advances in quantitative and chemical proteomics for autophagy studies.

Authors:  Yin-Kwan Wong; Jianbin Zhang; Zi-Chun Hua; Qingsong Lin; Han-Ming Shen; Jigang Wang
Journal:  Autophagy       Date:  2017-08-18       Impact factor: 16.016

4.  Small-protein Enrichment Assay Enables the Rapid, Unbiased Analysis of Over 100 Low Abundance Factors from Human Plasma.

Authors:  Dylan J Harney; Amy T Hutchison; Zhiduan Su; Luke Hatchwell; Leonie K Heilbronn; Samantha Hocking; David E James; Mark Larance
Journal:  Mol Cell Proteomics       Date:  2019-07-15       Impact factor: 5.911

5.  Universal sample preparation method integrating trichloroacetic acid/acetone precipitation with phenol extraction for crop proteomic analysis.

Authors:  Xiaolin Wu; Erhui Xiong; Wei Wang; Monica Scali; Mauro Cresti
Journal:  Nat Protoc       Date:  2014-01-16       Impact factor: 13.491

Review 6.  Advances in venomics: Modern separation techniques and mass spectrometry.

Authors:  Tarek Mohamed Abd El-Aziz; Antonio G Soares; James D Stockand
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2020-09-17       Impact factor: 3.205

7.  EPIFANY: A Method for Efficient High-Confidence Protein Inference.

Authors:  Julianus Pfeuffer; Timo Sachsenberg; Tjeerd M H Dijkstra; Oliver Serang; Knut Reinert; Oliver Kohlbacher
Journal:  J Proteome Res       Date:  2020-02-13       Impact factor: 4.466

8.  Evaluation and optimization of reduction and alkylation methods to maximize peptide identification with MS-based proteomics.

Authors:  Suttipong Suttapitugsakul; Haopeng Xiao; Johanna Smeekens; Ronghu Wu
Journal:  Mol Biosyst       Date:  2017-11-21

Review 9.  Application of machine learning to proteomics data: classification and biomarker identification in postgenomics biology.

Authors:  Anna Louise Swan; Ali Mobasheri; David Allaway; Susan Liddell; Jaume Bacardit
Journal:  OMICS       Date:  2013-10-12

10.  Functional proteomics of barley and barley chloroplasts - strategies, methods and perspectives.

Authors:  Jørgen Petersen; Adelina Rogowska-Wrzesinska; Ole N Jensen
Journal:  Front Plant Sci       Date:  2013-03-18       Impact factor: 5.753

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