Utilization and evaluation of CHO-specific sequence databases for mass spectrometry based proteomics
| Autor: | Oliver Rupp, Shane Kelly, Michael Henry, Thomas Noll, Paula Meleady, Colin Clarke, Matthias Hackl, Juan A. Hernandez Bort, Johannes Grillari, Raimund Hoffrogge, Martin Clynes, Nicole Borth, Niall Barron, Alf Pühler, Tim F Beckmann, Karina Brinkrolf, Padraig Doolan, Benjamin Müller |
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| Rok vydání: | 2012 |
| Předmět: |
Proteomics
Bioengineering CHO Cells Biology computer.software_genre Applied Microbiology and Biotechnology CHO sequence data Mass Spectrometry Cricetulus protein identification Cricetinae Animals Direct analysis Sequence (medicine) Mass spectrometry based proteomics Database Chinese hamster ovary cell Computational Biology Epithelial Cells MS Sequence homology Proteome Identification (biology) computer Biotechnology |
| Zdroj: | Biotechnology and Bioengineering. 109:1386-1394 |
| ISSN: | 0006-3592 |
| Popis: | 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 4050%, 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. Biotechnol. Bioeng. 2012; 109:13861394. (c) 2012 Wiley Periodicals, Inc. |
| Databáze: | OpenAIRE |
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