Literature DB >> 18297651

Comparative LC-MS: a landscape of peaks and valleys.

Antoine H P America1, Jan H G Cordewener.   

Abstract

Quantitative proteomics approaches using stable isotopes are well-known and used in many labs nowadays. More recently, high resolution quantitative approaches are reported that rely on LC-MS quantitation of peptide concentrations by comparing peak intensities between multiple runs obtained by continuous detection in MS mode. Characteristic of these comparative LC-MS procedures is that they do not rely on the use of stable isotopes; therefore the procedure is often referred to as label-free LC-MS. In order to compare at comprehensive scale peak intensity data in multiple LC-MS datasets, dedicated software is required for detection, matching and alignment of peaks. The high accuracy in quantitative determination of peptide abundance provides an impressive level of detail. This approach also requires an experimental set-up where quantitative aspects of protein extraction and reproducible separation conditions need to be well controlled. In this paper we will provide insight in the critical parameters that affect the quality of the results and list an overview of the most recent software packages that are available for this procedure.

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Year:  2008        PMID: 18297651     DOI: 10.1002/pmic.200700694

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  55 in total

1.  msCompare: a framework for quantitative analysis of label-free LC-MS data for comparative candidate biomarker studies.

Authors:  Berend Hoekman; Rainer Breitling; Frank Suits; Rainer Bischoff; Peter Horvatovich
Journal:  Mol Cell Proteomics       Date:  2012-02-07       Impact factor: 5.911

2.  Retention time alignment of LC/MS data by a divide-and-conquer algorithm.

Authors:  Zhongqi Zhang
Journal:  J Am Soc Mass Spectrom       Date:  2012-04       Impact factor: 3.109

3.  DeMix-Q: Quantification-Centered Data Processing Workflow.

Authors:  Bo Zhang; Lukas Käll; Roman A Zubarev
Journal:  Mol Cell Proteomics       Date:  2016-01-04       Impact factor: 5.911

Review 4.  Image analysis tools and emerging algorithms for expression proteomics.

Authors:  Andrew W Dowsey; Jane A English; Frederique Lisacek; Jeffrey S Morris; Guang-Zhong Yang; Michael J Dunn
Journal:  Proteomics       Date:  2010-12       Impact factor: 3.984

5.  Revealing novel telomere proteins using in vivo cross-linking, tandem affinity purification, and label-free quantitative LC-FTICR-MS.

Authors:  Thalia Nittis; Lionel Guittat; Richard D LeDuc; Ben Dao; Julien P Duxin; Henry Rohrs; R Reid Townsend; Sheila A Stewart
Journal:  Mol Cell Proteomics       Date:  2010-01-22       Impact factor: 5.911

6.  Comprehensive characterization of extracellular herpes simplex virus type 1 virions.

Authors:  Sandra Loret; Ginette Guay; Roger Lippé
Journal:  J Virol       Date:  2008-07-02       Impact factor: 5.103

7.  Mass spectrometry-based identification of native cardiac Nav1.5 channel α subunit phosphorylation sites.

Authors:  Céline Marionneau; Cheryl F Lichti; Pierre Lindenbaum; Flavien Charpentier; Jeanne M Nerbonne; R Reid Townsend; Jean Mérot
Journal:  J Proteome Res       Date:  2012-11-09       Impact factor: 4.466

8.  De Novo Design and Implementation of a Tandem Acyl Carrier Protein Domain in a Type I Modular Polyketide Synthase.

Authors:  Zilong Wang; Saket R Bagde; Gerardo Zavala; Tsutomu Matsui; Xi Chen; Chu-Young Kim
Journal:  ACS Chem Biol       Date:  2018-10-24       Impact factor: 5.100

9.  Shotgun proteomics in neuroscience.

Authors:  Lujian Liao; Daniel B McClatchy; John R Yates
Journal:  Neuron       Date:  2009-07-16       Impact factor: 17.173

10.  Proteomic classification of acute leukemias by alignment-based quantitation of LC-MS/MS data sets.

Authors:  Eric J Foss; Dragan Radulovic; Derek L Stirewalt; Jerald Radich; Olga Sala-Torra; Era L Pogosova-Agadjanyan; Shawna M Hengel; Keith R Loeb; H Joachim Deeg; Soheil Meshinchi; David R Goodlett; Antonio Bedalov
Journal:  J Proteome Res       Date:  2012-09-11       Impact factor: 4.466

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