Literature DB >> 15880814

MSight: an image analysis software for liquid chromatography-mass spectrometry.

Patricia M Palagi1, Daniel Walther, Manfredo Quadroni, Sébastien Catherinet, Jennifer Burgess, Catherine G Zimmermann-Ivol, Jean-Charles Sanchez, Pierre-Alain Binz, Denis F Hochstrasser, Ron D Appel.   

Abstract

Images obtained from high-throughput mass spectrometry (MS) contain information that remains hidden when looking at a single spectrum at a time. Image processing of liquid chromatography-MS datasets can be extremely useful for quality control, experimental monitoring and knowledge extraction. The importance of imaging in differential analysis of proteomic experiments has already been established through two-dimensional gels and can now be foreseen with MS images. We present MSight, a new software designed to construct and manipulate MS images, as well as to facilitate their analysis and comparison.

Mesh：

Substances：

Year:  2005        PMID： 15880814     DOI： 10.1002/pmic.200401244

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


  28 in total

Review 1.  Proteome research based on modern liquid chromatography--tandem mass spectrometry: separation, identification and quantification.

Authors:  T Fröhlich; G J Arnold
Journal:  J Neural Transm (Vienna)       Date:  2006-07-13       Impact factor: 3.575

Review 2.  Mass spectrometry based proteomics in urine biomarker discovery.

Authors:  Dan Theodorescu; Harald Mischak
Journal:  World J Urol       Date:  2007-08-17       Impact factor: 4.226

3.  LC-MS Based Detection of Differential Protein Expression.

Authors:  Leepika Tuli; Habtom W Ressom
Journal:  J Proteomics Bioinform       Date:  2009-10-02

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.  High-resolution proteome/peptidome analysis of peptides and low-molecular-weight proteins in urine.

Authors:  Harald Mischak; Bruce A Julian; Jan Novak
Journal:  Proteomics Clin Appl       Date:  2007-07-10       Impact factor: 3.494

6.  Protein quantification across hundreds of experimental conditions.

Authors:  Zia Khan; Joshua S Bloom; Benjamin A Garcia; Mona Singh; Leonid Kruglyak
Journal:  Proc Natl Acad Sci U S A       Date:  2009-08-26       Impact factor: 11.205

7.  A novel alignment method and multiple filters for exclusion of unqualified peptides to enhance label-free quantification using peptide intensity in LC-MS/MS.

Authors:  Xianyin Lai; Lianshui Wang; Haixu Tang; Frank A Witzmann
Journal:  J Proteome Res       Date:  2011-09-21       Impact factor: 4.466

8.  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

9.  Label-free quantitative analysis of one-dimensional PAGE LC/MS/MS proteome: application on angiotensin II-stimulated smooth muscle cells secretome.

Authors:  Ben-Bo Gao; Lisa Stuart; Edward P Feener
Journal:  Mol Cell Proteomics       Date:  2008-08-02       Impact factor: 5.911

10.  'Brukin2D': a 2D visualization and comparison tool for LC-MS data.

Authors:  Dimosthenis Tsagkrasoulis; Panagiotis Zerefos; George Loudos; Antonia Vlahou; Marc Baumann; Sophia Kossida
Journal:  BMC Bioinformatics       Date:  2009-06-16       Impact factor: 3.169
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.