Analysis of alternative splicing with microarrays

Jingyi Hui; Shivendra Kishore; Amit Khanna; Stefan Stamm

doi:10.1007/978-1-59745-440-7_14

Analysis of alternative splicing with microarrays

Jingyi Hui, Shivendra Kishore, Amit Khanna, Stefan Stamm

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

2 Scopus citations

Abstract

Alternative splicing is one of the most important post-transcriptional processing steps that enhances genomic information by generating multiple RNA isoforms from a single gene. Recently, microarrays have been developed that can detect changes in splice site selection. Currently, the biggest challenge for the analysis of alternative splicing with microarrays is the bioinformatics analysis of array data and their low reproducibility by RT-PCR. Despite these problems, microarrays revealed an unexpected number of expressed RNAs, showed changes of alternative splicing in diseases and indicated that a splicing factor regulates a biologically meaningful set of genes.

Original language	English
Title of host publication	Bioinformatics for Systems Biology
Pages	267-279
Number of pages	13
Volume	9781597454407
ISBN (Electronic)	9781597454407
DOIs	https://doi.org/10.1007/978-1-59745-440-7_14
State	Published - 2009

Bibliographical note

Publisher Copyright:
© Humana Press, a part of Springer Science-Business Media, LLC 2009. All rights reserved.

Keywords

Alternative splicing
Exon
Experimental validation
Microarrays
RNA isoforms
intron

ASJC Scopus subject areas

General Medicine

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10.1007/978-1-59745-440-7_14

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AU - Stamm, Stefan

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KW - Alternative splicing

KW - Exon

KW - Experimental validation

KW - Microarrays

KW - RNA isoforms

KW - intron

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Analysis of alternative splicing with microarrays

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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