Linked Life Data

17987634

Source:http://linkedlifedata.com/resource/pubmed/id/17987634

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
23
pubmed:dateCreated
2007-12-6
pubmed:abstractText
The conventional 2-D LC-MS/MS setup for global proteome analysis was based on online and offline salt gradients (step and continuous) using strong-cation-exchange chromatography in conjunction with RP chromatography and MS. The use of the online system with step salt elution had the possibility of resulting in peptide overlapping across fractions. The offline mode had the option to operate with continuous salt gradient to decrease peak overlap, but exhibited decreased robustness, lower reproducibility, and sample loss during the process. Due to the extensive washing requirement between the chromatography steps, online continuous gradient was not an option for salt elution. In this report, a fully automated, online, and continuous gradient (pH continuous online gradient, pCOG) 2-D LC-MS/MS system is introduced that provided excellent separation and identification power. The pH gradient-based elution provided more basic peptides than that of salt-based elution. Fraction overlap was significantly minimized by combining pH and continuous gradient elutions. This latter approach also increased sequence coverage and the concomitant confidence level in protein identification. The salt and pH elution-based 2-D LC-MS/MS approaches were compared by analyzing the mouse liver proteome.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
0173-0835
pubmed:author
pubmed:issnType
Print
pubmed:volume
28
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
4311-9
pubmed:dateRevised
2011-11-17
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
A fully automated 2-D LC-MS method utilizing online continuous pH and RP gradients for global proteome analysis.
pubmed:affiliation
Key Laboratory of Systems Biology, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Shanghai, PR China.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't