4.8 Article

Comparative analysis of the transcriptome across distant species

Journal

NATURE
Volume 512, Issue 7515, Pages 445-+

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/nature13424

Keywords

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Funding

  1. NHGRI
  2. ENCODE
  3. modENCODE project
  4. National Human Genome Research Institute modENCODE Project under Department of Energy [U01 HG004271, U54 HG006944]
  5. Department of Energy [R01 GM076655, DE-AC02-05CH11231, U54 HG007005]
  6. NHGRI [K99 HG006698]
  7. DOE [DE-AC02-05CH11231]
  8. modENCODE DAC sub award [5710003102, 1 U01HG007031-01]
  9. ENCODE DAC [5U01HG004695-04]
  10. NIH [HG007000, HG007355]
  11. Indiana METACyt Initiative of Indiana University - Lilly Endowment, Inc.
  12. National Institutes of Health [U01HG004258, 5U54HG004555]
  13. Wellcome Trust [WT098051]
  14. Spanish Ministry of Education [BIO2011-26205]
  15. [U01-HG004261]
  16. [RC2-HG005639]
  17. [U01 HG 004263]

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The transcriptome is the readout of the genome. Identifying common features in it across distant species can reveal fundamental principles. To this end, the ENCODE and modENCODE consortia have generated large amounts of matched RNA-sequencing data for human, worm and fly. Uniform processing and comprehensive annotation of these data allow comparison across metazoan phyla, extending beyond earlier within-phylum transcriptome comparisons and revealing ancient, conserved features(1-6). Specifically, we discover co-expression modules shared across animals, many of which are enriched in developmental genes. Moreover, we use expression patterns to align the stages in worm and fly development and find a novel pairing between worm embryo and fly pupae, in addition to the embryo-to-embryo and larvae-to-larvae pairings. Furthermore, we find that the extent of non-canonical, non-coding transcription is similar in each organism, per base pair. Finally, we find in all three organisms that the gene-expression levels, both coding and non-coding, can be quantitatively predicted from chromatin features at the promoter using a 'universal model' based on a single set of organism-independent parameters.

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