Journal Article


Nicole Borth
Martin Clynes
Alf Pühler
Niall Barron
Johannes Grillari
Thomas Noll
Tim Frederik Beckmann
Matthias Hackl
Padraig Doolan
Benjamin Müller
and 8 others



animals mass spectrometry chemistry cricetinae epithelial cells cricetulus computational biology proteomics cho cells

Utilization and evaluation of CHO-specific sequence databases for mass spectrometry based proteomics. (2011)

Abstract Recently released sequence information on Chinese hamster ovary (CHO) cells promises to not only facilitate our understanding of these industrially important cell factories through direct analysis of the sequence, but also to enhance existing methodologies and allow new tools to be developed. In this article we demonstrate the utilization of CHO specific sequence information to improve mass spectrometry (MS) based proteomic identification. The use of various CHO specific databases enabled the identification of 282 additional proteins, thus increasing the total number of identified proteins by 40-50%, depending on the sample source and methods used. In addition, a considerable portion of those proteins that were identified previously based on inter-species sequence homology were now identified by a larger number of peptides matched, thus increasing the confidence of identification. The new sequence information offers improved interpretation of proteomic analyses and will, in the years to come, prove vital to unraveling the CHO proteome.
Collections Ireland -> Dublin City University -> PubMed

Full list of authors on original publication

Nicole Borth, Martin Clynes, Alf Pühler, Niall Barron, Johannes Grillari, Thomas Noll, Tim Frederik Beckmann, Matthias Hackl, Padraig Doolan, Benjamin Müller and 8 others

Experts in our system

Martin Clynes
Dublin City University
Total Publications: 232
Niall Barron
Dublin City University
Total Publications: 60
Padraig Doolan
Dublin City University
Total Publications: 38