Mouse proteome analysis

Kanapin, A., Batalov, S., Davis, M., Gough, J., Grimmond, S. M., Kawaji, H., Magrane, M., Matsuda, H., Schonbach, C., Teasdale, R. D., RIKEN GER Group,, GSL Members, and Yuan, Z. (2003) Mouse proteome analysis. Genome Research, 13 6B: 1335-1344. doi:10.1101/gr.978703

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Author Kanapin, A.
Batalov, S.
Davis, M.
Gough, J.
Grimmond, S. M.
Kawaji, H.
Magrane, M.
Matsuda, H.
Schonbach, C.
Teasdale, R. D.
GSL Members,
Yuan, Z.
Title Mouse proteome analysis
Journal name Genome Research   Check publisher's open access policy
ISSN 1088-9051
Publication date 2003-01-01
Year available 2003
Sub-type Article (original research)
DOI 10.1101/gr.978703
Open Access Status File (Publisher version)
Volume 13
Issue 6B
Start page 1335
End page 1344
Total pages 10
Place of publication Cold Spring Harbor, NY, United States
Publisher Cold Spring Harbor Laboratory Press
Language eng
Subject 1311 Genetics
2716 Genetics (clinical)
Abstract A general overview of the protein sequence set for the mouse transcriptome produced during the FANTOM2 sequencing project is presented here. We applied different algorithms to characterize protein sequences derived from a nonredundant representative protein set (RPS) and a variant protein set (VPS) of the mouse transcriptome. The functional characterization and assignment of Gene Ontology terms was done by analysis of the proteome using InterPro. The Superfamily database analyses gave a detailed structural classification according to SCOP and provide additional evidence for the functional characterization of the proteome data. The MDS database analysis revealed new domains which are not presented in existing protein domain databases. Thus the transcriptome gives us a unique source of data for the detection of new functional groups. The data obtained for the RPS and VPS sets facilitated the comparison of different patterns of protein expression. A comparison of other existing mouse and human protein sequence sets (e.g., the International Protein Index) demonstrates the common patterns in mammalian proteornes. The analysis of the membrane organization within the transcriptome of multiple eukaryotes provides valuable statistics about the distribution of secretory and transmembrane proteins
Keyword Biotechnology & Applied Microbiology
Genetics & Heredity
Q-Index Code C1
Institutional Status UQ

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Created: Wed, 15 Aug 2007, 05:33:47 EST