MADS: a new and improved method for analysis of differential alternative splicing by exon-tiling microarrays.

We describe a method, microarray analysis of differential splicing (MADS), for discovery of differential alternative splicing from exon-tiling microarray data. MADS incorporates a series of low-level analysis algorithms motivated by the "probe-rich" design of exon arrays, including background correction, iterative probe selection, and removal of sequence-specific cross-hybridization to off-target transcripts. We used MADS to analyze Affymetrix Exon 1.0 array data on a mouse neuroblastoma cell line after shRNA-mediated knockdown of the splicing factor polypyrimidine tract binding protein (PTB). From a list of exons with predetermined inclusion/exclusion profiles in response to PTB depletion, MADS recognized all exons known to have large changes in transcript inclusion levels and offered improvement over Affymetrix's analysis procedure. We also identified numerous novel PTB-dependent splicing events. Thirty novel events were tested by RT-PCR and 27 were confirmed. This work demonstrates that the exon-tiling microarray design is an efficient and powerful approach for global, unbiased analysis of pre-mRNA splicing.

[1]  V. Beneš,et al.  Diverse roles of hnRNP L in mammalian mRNA processing: a combined microarray and RNAi analysis. , 2007, RNA.

[2]  Clifford A. Meyer,et al.  Model-based analysis of tiling-arrays for ChIP-chip , 2006, Proceedings of the National Academy of Sciences.

[3]  G. C. Roberts,et al.  Alternative splicing: combinatorial output from the genome. , 2002, Current opinion in chemical biology.

[4]  Fred H. Gage,et al.  Alternative Splicing Events Identified in Human Embryonic Stem Cells and Neural Progenitors , 2007, PLoS Comput. Biol..

[5]  P. Brown,et al.  Exploring the metabolic and genetic control of gene expression on a genomic scale. , 1997, Science.

[6]  Tyson A. Clark,et al.  Discovery of tissue-specific exons using comprehensive human exon microarrays , 2007, Genome Biology.

[7]  Maido Remm,et al.  Enhancements and modifications of primer design program Primer3 , 2007, Bioinform..

[8]  Tyson A. Clark,et al.  Genomewide Analysis of mRNA Processing in Yeast Using Splicing-Specific Microarrays , 2002, Science.

[9]  C. Li,et al.  Model-based analysis of oligonucleotide arrays: expression index computation and outlier detection. , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[10]  Yi Xing,et al.  Exon arrays provide accurate assessments of gene expression , 2007, Genome Biology.

[11]  Simon Cawley,et al.  ANOSVA: a statistical method for detecting splice variation from expression data , 2005, ISMB.

[12]  Clifford A. Meyer,et al.  Exon expression profiling reveals stimulus-mediated exon use in neural cells , 2007, Genome Biology.

[13]  P. Stadler,et al.  RNA Maps Reveal New RNA Classes and a Possible Function for Pervasive Transcription , 2007, Science.

[14]  Y. Xing,et al.  Assessing the conservation of mammalian gene expression using high-density exon arrays. , 2007, Molecular biology and evolution.

[15]  B. Blencowe Alternative Splicing: New Insights from Global Analyses , 2006, Cell.

[16]  Qun Pan,et al.  Global analysis of alternative splicing during T-cell activation. , 2007, RNA.

[17]  Tom H. Pringle,et al.  The human genome browser at UCSC. , 2002, Genome research.

[18]  M. Brent,et al.  Iterative gene prediction and pseudogene removal improves genome annotation. , 2006, Genome research.

[19]  Douglas L Black,et al.  A post-transcriptional regulatory switch in polypyrimidine tract-binding proteins reprograms alternative splicing in developing neurons. , 2007, Genes & development.

[20]  Y. Xing,et al.  Probe Selection and Expression Index Computation of Affymetrix Exon Arrays , 2006, PloS one.

[21]  Yael Mandel-Gutfreund,et al.  Detection and measurement of alternative splicing using splicing-sensitive microarrays. , 2005, Methods.

[22]  J. Castle,et al.  Genome-Wide Survey of Human Alternative Pre-mRNA Splicing with Exon Junction Microarrays , 2003, Science.

[23]  Alternative Transcript Analysis Methods for Exon Arrays , 2005 .

[24]  Gene Signal Estimates from Exon Arrays , 2005 .

[25]  Tyson A. Clark,et al.  Alternative splicing and differential gene expression in colon cancer detected by a whole genome exon array , 2006, BMC Genomics.

[26]  D. Black Mechanisms of alternative pre-messenger RNA splicing. , 2003, Annual review of biochemistry.

[27]  Harry Zuzan,et al.  Heritability of alternative splicing in the human genome. , 2007, Genome research.

[28]  B. Frey,et al.  Revealing global regulatory features of mammalian alternative splicing using a quantitative microarray platform. , 2004, Molecular cell.

[29]  Peer Bork,et al.  Common exon duplication in animals and its role in alternative splicing. , 2002, Human molecular genetics.

[30]  Rafael A. Irizarry,et al.  Stochastic models inspired by hybridization theory for short oligonucleotide arrays , 2004, J. Comput. Biol..

[31]  Christopher J. Lee,et al.  Genome-wide detection of tissue-specific alternative splicing in the human transcriptome. , 2002, Nucleic acids research.

[32]  Guey-Shin Wang,et al.  Splicing in disease: disruption of the splicing code and the decoding machinery , 2007, Nature Reviews Genetics.

[33]  John D. Storey,et al.  Statistical significance for genomewide studies , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[34]  T. Gingeras,et al.  Genome-wide transcription and the implications for genomic organization , 2007, Nature Reviews Genetics.