Publication: Targeted RNA Sequencing Reveals the Deep Complexity of the Human Transcriptome
No Thumbnail Available
Open/View Files
Date
2011
Published Version
Journal Title
Journal ISSN
Volume Title
Publisher
Nature Publishing Group
The Harvard community has made this article openly available. Please share how this access benefits you.
Citation
Mercer, Tim R, Daniel J Gerhardt, Marcel E Dinger, Joanna Crawford, Cole Trapnell, Jeffrey A Jeddeloh, John S Mattick, and John L Rinn. 2011. Targeted RNA Sequencing Reveals the Deep Complexity of the Human Transcriptome. Nature Biotechnology 30, no. 1: 99–104.
Research Data
Abstract
Transcriptomic analyses have revealed an unexpected complexity to the human transcriptome, whose breadth and depth exceeds current RNA sequencing capability1, 2, 3, 4. Using tiling arrays to target and sequence select portions of the transcriptome, we identify and characterize unannotated transcripts whose rare or transient expression is below the detection limits of conventional sequencing approaches. We use the unprecedented depth of coverage afforded by this technique to reach the deepest limits of the human transcriptome, exposing widespread, regulated and remarkably complex noncoding transcription in intergenic regions, as well as unannotated exons and splicing patterns in even intensively studied protein-coding loci such as p53 and HOX. The data also show that intermittent sequenced reads observed in conventional RNA sequencing data sets, previously dismissed as noise, are in fact indicative of unassembled rare transcripts. Collectively, these results reveal the range, depth and complexity of a human transcriptome that is far from fully characterized.
Description
Other Available Sources
Keywords
Terms of Use
Metadata Only