scholarly journals Capillary Isotachophoresis-Nanoelectrospray Ionization-Selected Reaction Monitoring MS via a Novel Sheathless Interface for High Sensitivity Sample Quantification

2013 ◽  
Vol 85 (15) ◽  
pp. 7308-7315 ◽  
Author(s):  
Chenchen Wang ◽  
Cheng S. Lee ◽  
Richard D. Smith ◽  
Keqi Tang
Keyword(s):  
High Sensitivity ◽  
Selected Reaction Monitoring ◽  
Reaction Monitoring ◽  
Capillary Isotachophoresis ◽  
Nanoelectrospray Ionization ◽  
Sample Quantification

scholarly journals SRMBUILDER: A USER-FRIENDLY TOOL FOR SELECTED REACTION MONITORING DATA ANALYSIS

2011 ◽  
Vol 09 (supp01) ◽  
pp. 51-62 ◽  
Author(s):  
QUANHU SHENG ◽  
CHAOCHAO WU ◽  
ZHIDUAN SU ◽  
RONG ZENG
Keyword(s):  
Data Analysis ◽  
Software Tool ◽  
High Sensitivity ◽  
Selected Reaction Monitoring ◽  
Reaction Monitoring ◽  
Post Translational Modification ◽  
Research Areas ◽  
File Formats ◽  
Data Files ◽  
User Friendly

With high sensitivity and reproducibility, selected reaction monitoring (SRM) has become increasingly popular in proteome research for targeted quantification of low abundance proteins and post translational modification. SRM is also well accepted in other mass-spectrometry based research areas such as lipidomics and metabolomics, which necessitates the development of easy-to-use software for both post-acquisition SRM data analysis and quantification result validation. Here, we introduce a software tool SRMBuilder, which can automatically parse SRM data in multiple file formats, assign transitions to compounds, match light/heavy transition/compound pairs and provide a user-friendly graphic interface to manually validate the quantification result at transition/compound/sample level. SRMBuilder will greatly facilitate processing of the post-acquisition data files and validation of quantification result for SRM. The software can be downloaded for free from as part of the software suite ProteomicsTools.

Combining selected reaction monitoring with discovery proteomics in limited biological samples

PROTEOMICS ◽  
2009 ◽  
Vol 9 (21) ◽  
pp. 4834-4836 ◽  
Author(s):  
Mukesh Kumar Gupta ◽  
Jin Woo Jung ◽  
Sang Jun Uhm ◽  
Hookeun Lee ◽  
Hoon Taek Lee ◽  
...  
Keyword(s):  
Biological Samples ◽  
Selected Reaction Monitoring ◽  
Reaction Monitoring
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