Abstract
Massively parallel cDNA sequencing (RNA-Seq) provides an unbiased way to study a transcriptome, including both coding and noncoding genes. Until now, most RNA-Seq studies have depended crucially on existing annotations and thus focused on expression levels and variation in known transcripts. Here, we present Scripture, a method to reconstruct the transcriptome of a mammalian cell using only RNA-Seq reads and the genome sequence. We applied it to mouse embryonic stem cells, neuronal precursor cells and lung fibroblasts to accurately reconstruct the full-length gene structures for most known expressed genes. We identified substantial variation in protein coding genes, including thousands of novel 5' start sites, 3' ends and internal coding exons. We then determined the gene structures of more than a thousand large intergenic noncoding RNA (lincRNA) and antisense loci. Our results open the way to direct experimental manipulation of thousands of noncoding RNAs and demonstrate the power of ab initio reconstruction to render a comprehensive picture of mammalian transcriptomes.
MeSH Terms
Animals
Cell Line
Computational Biology/methods
DNA, Intergenic/genetics
Embryonic Stem Cells
Gene Expression Profiling/methods
Gene Library
Mice
Models, Genetic
RNA, Messenger/genetics
Sequence Analysis, RNA/methods
Transcription, Genetic
Chemicals
DNA, Intergenic
RNA, Messenger
Authors & Affiliations
13 authors, click to expand affiliations / ORCID
Garber Manuel
Levin Joshua Z
Donaghey Julie
Robinson James
Adiconis Xian
Fan Lin
Koziol Magdalena J
Gnirke Andreas
Nusbaum Chad
Rinn John L
Lander Eric S
Regev Aviv
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