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Large-scale analysis of human alternative protein isoforms: pattern classification and correlation with subcellular localization signals
- Source :
- Nucleic Acids Research
- Publication Year :
- 2005
- Publisher :
- Oxford University Press, 2005.
-
Abstract
- We investigated human alternative protein isoforms of >2600 genes based on full-length cDNA clones and SwissProt. We classified the isoforms and examined their co-occurrence for each gene. Further, we investigated potential relationships between these changes and differential subcellular localization. The two most abundant patterns were the one with different C-terminal regions and the one with an internal insertion, which together account for 43% of the total. Although changes of the N-terminal region are less common than those of the C-terminal region, extension of the C-terminal region is much less common than that of the N-terminal region, probably because of the difficulty of removing stop codons in one isoform. We also found that there are some frequently used combinations of co-occurrence in alternative isoforms. We interpret this as evidence that there is some structural relationship which produces a repertoire of isoformal patterns. Finally, many terminal changes are predicted to cause differential subcellular localization, especially in targeting either peroxisomes or mitochondria. Our study sheds new light on the enrichment of the human proteome through alternative splicing and related events. Our database of alternative protein isoforms is available through the internet.
- Subjects :
- Gene isoform
Genetics
Proteomics
Alternative splicing
Computational biology
Biology
Protein Sorting Signals
Subcellular localization
Protein subcellular localization prediction
Stop codon
Article
Alternative Splicing
Sequence Analysis, Protein
SNAP23
Human proteome project
Humans
Protein Isoforms
Databases, Protein
Gene
Subjects
Details
- Language :
- English
- ISSN :
- 13624962 and 03051048
- Volume :
- 33
- Issue :
- 8
- Database :
- OpenAIRE
- Journal :
- Nucleic Acids Research
- Accession number :
- edsair.doi.dedup.....66111dc0647efa991635da07ba5e324b