Alternative promoters influence alternative splicing at the genomic level

More and more experiments have shown that transcription and mRNA processing are not two independent events but are tightly coupled to each other. Both promoter and transcription rate were found to influence alternative splicing. More than half of human genes have alternative promoters, but it is sti...

Full description

Saved in:
Bibliographic Details
Published in:PloS one 2008-06, Vol.3 (6), p.e2377-e2377
Main Authors: Xin, Dedong, Hu, Landian, Kong, Xiangyin
Format: Article
Language:English
Subjects:
Alternative Splicing
Analysis
Annotations
Computational Biology/Alternative Splicing
Computational Biology/Comparative Sequence Analysis
Computational Biology/Genomics
Datasets
DNA, Complementary
Evolutionary Biology/Evolutionary and Comparative Genetics
Evolutionary Biology/Genomics
Expressed Sequence Tags
Gene expression
Genes
Genetics and Genomics/Bioinformatics
Genetics and Genomics/Gene Expression
Genomes
Genomics
Health sciences
Hospitals
Medicine
Molecular Biology/RNA Splicing
Molecular Biology/Transcription Initiation and Activation
mRNA processing
Promoter Regions, Genetic
Promoters
Proteins
RNA
RNA Processing, Post-Transcriptional
RNA, Messenger - genetics
Transcription
Transcription (Genetics)
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:More and more experiments have shown that transcription and mRNA processing are not two independent events but are tightly coupled to each other. Both promoter and transcription rate were found to influence alternative splicing. More than half of human genes have alternative promoters, but it is still not clear why there are so many alternative promoters and what their biological roles are. In this study, we explored whether there is a functional correlation between alternative promoters and alternative splicing by a genome-wide analysis of human and mouse genes. We constructed a large data set of genes with alternative promoter and alternative splicing annotations. By analyzing these genes, we showed that genes with alternative promoters tended to demonstrate alternative splicing compare to genes with single promoter, and, genes with more alternative promoters tend to have more alternative splicing variants. Furthermore, transcripts from different alternative promoters tended to splice differently. Thus at the genomic level, alternative promoters are positively correlated with alternative splicing.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0002377