Abstract：
:Sequence-based methods for transcriptome characterization have typically relied on generation of either serial analysis of gene expression tags or expressed sequence tags. Although such approaches have the potential to enumerate transcripts by counting sequence tags derived from them, they typically do not robustly survey the majority of transcripts along their entire length. Here we show that massively parallel sequencing of randomly primed cDNAs, using a next-generation sequencing-by-synthesis technology, offers the potential to generate relative measures of mRNA and individual exon abundance while simultaneously profiling the prevalence of both annotated and novel exons and exon-splicing events. This technique identifies known single nucleotide polymorphisms (SNPs) as well as novel single-base variants. Analysis of these variants, and previously unannotated splicing events in the HeLa S3 cell line, reveals an overrepresentation of gene categories including those previously implicated in cancer.
journal_name
Biotechniquesjournal_title
BioTechniquesauthors
Morin R,Bainbridge M,Fejes A,Hirst M,Krzywinski M,Pugh T,McDonald H,Varhol R,Jones S,Marra Mdoi
10.2144/000112900subject
Has Abstractpub_date
2008-07-01 00:00:00pages
81-94issue
1eissn
0736-6205issn
1940-9818pii
000112900journal_volume
45pub_type
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