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Ab initio reconstruction of transcriptomes of pluripotent and lineage committed cells reveals gene structures of thousands of lincRNAs
- Source :
- Nature biotechnology, PMC
- Publication Year :
- 2010
-
Abstract
- available in PMC 2010 November 2.<br />RNA-Seq provides an unbiased way to study a transcriptome, including both coding and noncoding genes. To date, most RNA-Seq studies have critically depended 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 apply it to mouse embryonic stem cells, neuronal precursor cells, and lung fibroblasts to accurately reconstruct the full-length gene structures for the vast majority of known expressed genes. We identify substantial variation in protein-coding genes, including thousands of novel 5′-start sites, 3′-ends, and internal coding exons. We then determine the gene structures of over a thousand lincRNA and antisense loci. Our results open the way to direct experimental manipulation of thousands of non-coding RNAs, and demonstrate the power of ab initio reconstruction to render a comprehensive picture of mammalian transcriptomes.<br />Merkin Family Foundation for Stem Cell Research<br />Howard Hughes Medical Institute<br />National Human Genome Research Institute (U.S.)<br />Burroughs Wellcome Fund<br />Broad Institute
- Subjects :
- Transcription, Genetic
Sequence analysis
genetic processes
Population
Biomedical Engineering
Bioengineering
Computational biology
Biology
Applied Microbiology and Biotechnology
Article
Cell Line
Mice
Intergenic region
Transcription (biology)
Animals
natural sciences
Genomic library
RNA, Messenger
education
Embryonic Stem Cells
Gene Library
Whole genome sequencing
Genetics
education.field_of_study
Models, Genetic
Sequence Analysis, RNA
Gene Expression Profiling
Computational Biology
RNA
Gene expression profiling
Molecular Medicine
DNA, Intergenic
Biotechnology
Subjects
Details
- Language :
- English
- ISSN :
- 15461696 and 10870156
- Volume :
- 28
- Issue :
- 5
- Database :
- OpenAIRE
- Journal :
- Nature biotechnology
- Accession number :
- edsair.doi.dedup.....0effd886fc9549c23d64e6f020ff2fc3