4.8 Article

Targeted RNA sequencing reveals the deep complexity of the human transcriptome

Journal

NATURE BIOTECHNOLOGY
Volume 30, Issue 1, Pages 99-U147

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/nbt.2024

Keywords

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Funding

  1. Human Frontiers Science Program
  2. Queensland Government Department of Employment, Economic Development and Innovation
  3. Australian Research Council/University of Queensland [FF0561986]
  4. Australian National Health and Medical Research Council Australia [631668]
  5. Career Development Award [CDA631542]
  6. Damon Runyon-Rachleff
  7. Searle
  8. Smith Family Foundation
  9. Richard Merkin Foundation
  10. US National Institutes of Health [1DP2OD00667-01]
  11. NATIONAL HUMAN GENOME RESEARCH INSTITUTE [R01HG006102] Funding Source: NIH RePORTER
  12. OFFICE OF THE DIRECTOR, NATIONAL INSTITUTES OF HEALTH [DP2OD006670] Funding Source: NIH RePORTER

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Transcriptomic analyses have revealed an unexpected complexity to the human transcriptome, whose breadth and depth exceeds current RNA sequencing capability(1-4). 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.

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