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Comprehensive transcriptome analysis using synthetic long-read sequencing reveals molecular co-association of distant splicing events
- Source :
- Nature biotechnology. 33(7)
- Publication Year :
- 2014
-
Abstract
- Alternative splicing shapes mammalian transcriptomes, with many RNA molecules undergoing multiple distant alternative splicing events. Comprehensive transcriptome analysis, including analysis of exon co-association in the same molecule, requires deep, long-read sequencing. Here we introduce an RNA sequencing method, synthetic long-read RNA sequencing (SLR-RNA-seq), in which small pools (≤1,000 molecules/pool, ≤1 molecule/gene for most genes) of full-length cDNAs are amplified, fragmented and short-read-sequenced. We demonstrate that these RNA sequences reconstructed from the short reads from each of the pools are mostly close to full length and contain few insertion and deletion errors. We report many previously undescribed isoforms (human brain: ∼13,800 affected genes, 14.5% of molecules; mouse brain ∼8,600 genes, 18% of molecules) and up to 165 human distant molecularly associated exon pairs (dMAPs) and distant molecularly and mutually exclusive pairs (dMEPs). Of 16 associated pairs detected in the mouse brain, 9 are conserved in human. Our results indicate conserved mechanisms that can produce distant but phased features on transcript and proteome isoforms.
- Subjects :
- Male
Sequence analysis
genetic processes
Biomedical Engineering
Bioengineering
Genomics
Computational biology
Biology
Applied Microbiology and Biotechnology
Article
Transcriptome
Mice
mental disorders
RNA Isoforms
Animals
Humans
natural sciences
Genetics
Brain Chemistry
Sequence Analysis, RNA
Gene Expression Profiling
Alternative splicing
Computational Biology
High-Throughput Nucleotide Sequencing
Mice, Inbred C57BL
Alternative Splicing
RNA splicing
Molecular Medicine
Biotechnology
Subjects
Details
- ISSN :
- 15461696
- Volume :
- 33
- Issue :
- 7
- Database :
- OpenAIRE
- Journal :
- Nature biotechnology
- Accession number :
- edsair.doi.dedup.....31f1daab3204703576a571cdf004202f