An integrated expression atlas of miRNAs and their promoters in human and mouse

Research output: Contribution to journalJournal articleResearchpeer-review

  • Derek de Rie
  • Imad Abugessaisa
  • Tanvir Alam
  • Erik Arner
  • Peter Arner
  • Haitham Ashoor
  • Gaby Åström
  • Magda Babina
  • Nicolas Bertin
  • A. Maxwell Burroughs
  • Ailsa J. Carlisle
  • Carsten O. Daub
  • Michael Detmar
  • Ruslan Deviatiiarov
  • Alexandre Fort
  • Claudia Gebhard
  • Daniel Goldowitz
  • Sven Guhl
  • Thomas J. Ha
  • Jayson Harshbarger
  • Akira Hasegawa
  • Kosuke Hashimoto
  • Meenhard Herlyn
  • Peter Heutink
  • Kelly J. Hitchens
  • Chung Chau Hon
  • Edward Huang
  • Yuri Ishizu
  • Chieko Kai
  • Takeya Kasukawa
  • Peter Klinken
  • Timo Lassmann
  • Charles-Henri Lecellier
  • Weonju Lee
  • Marina Lizio
  • Vsevolod Makeev
  • Anthony Mathelier
  • Yulia A. Medvedeva
  • Niklas Mejhert
  • Christopher J. Mungall
  • Shohei Noma
  • Mitsuhiro Ohshima
  • Mariko Okada-Hatakeyama
  • Helena Persson
  • Patrizia Rizzu
  • Filip Roudnicky
  • Pål Sætrom
  • Hiroki Sato
  • Kristoffer Vitting-Seerup
  • Sandelin, Albin Gustav
  • FANTOM Consortium

MicroRNAs (miRNAs) are short non-coding RNAs with key roles in cellular regulation. As part of the fifth edition of the Functional Annotation of Mammalian Genome (FANTOM5) project, we created an integrated expression atlas of miRNAs and their promoters by deep-sequencing 492 short RNA (sRNA) libraries, with matching Cap Analysis Gene Expression (CAGE) data, from 396 human and 47 mouse RNA samples. Promoters were identified for 1,357 human and 804 mouse miRNAs and showed strong sequence conservation between species. We also found that primary and mature miRNA expression levels were correlated, allowing us to use the primary miRNA measurements as a proxy for mature miRNA levels in a total of 1,829 human and 1,029 mouse CAGE libraries. We thus provide a broad atlas of miRNA expression and promoters in primary mammalian cells, establishing a foundation for detailed analysis of miRNA expression patterns and transcriptional control regions.

Original languageEnglish
JournalNature Biotechnology
Volume35
Issue number9
Pages (from-to)872-878
Number of pages7
ISSN1087-0156
DOIs
Publication statusPublished - 21 Aug 2017

    Research areas

  • Journal Article

ID: 182362598