Title |
Deep transcriptome profiling of mammalian stem cells supports a regulatory role for retrotransposons in pluripotency maintenance
|
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Published in |
Nature Genetics, April 2014
|
DOI | 10.1038/ng.2965 |
Pubmed ID | |
Authors |
Alexandre Fort, Kosuke Hashimoto, Daisuke Yamada, Md Salimullah, Chaman A Keya, Alka Saxena, Alessandro Bonetti, Irina Voineagu, Nicolas Bertin, Anton Kratz, Yukihiko Noro, Chee-Hong Wong, Michiel de Hoon, Robin Andersson, Albin Sandelin, Harukazu Suzuki, Chia-Lin Wei, Haruhiko Koseki, Yuki Hasegawa, Alistair R R Forrest, Piero Carninci |
Abstract |
The importance of microRNAs and long noncoding RNAs in the regulation of pluripotency has been documented; however, the noncoding components of stem cell gene networks remain largely unknown. Here we investigate the role of noncoding RNAs in the pluripotent state, with particular emphasis on nuclear and retrotransposon-derived transcripts. We have performed deep profiling of the nuclear and cytoplasmic transcriptomes of human and mouse stem cells, identifying a class of previously undetected stem cell-specific transcripts. We show that long terminal repeat (LTR)-derived transcripts contribute extensively to the complexity of the stem cell nuclear transcriptome. Some LTR-derived transcripts are associated with enhancer regions and are likely to be involved in the maintenance of pluripotency. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 3 | 14% |
France | 3 | 14% |
United Kingdom | 2 | 10% |
United States | 2 | 10% |
Australia | 2 | 10% |
Singapore | 1 | 5% |
Netherlands | 1 | 5% |
Norway | 1 | 5% |
Finland | 1 | 5% |
Other | 1 | 5% |
Unknown | 4 | 19% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 11 | 52% |
Members of the public | 9 | 43% |
Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 12 | 2% |
Spain | 4 | <1% |
United Kingdom | 4 | <1% |
Japan | 3 | <1% |
Brazil | 2 | <1% |
Korea, Republic of | 1 | <1% |
Italy | 1 | <1% |
Chile | 1 | <1% |
Germany | 1 | <1% |
Other | 7 | 1% |
Unknown | 497 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 149 | 28% |
Researcher | 124 | 23% |
Student > Master | 53 | 10% |
Professor > Associate Professor | 31 | 6% |
Student > Bachelor | 30 | 6% |
Other | 82 | 15% |
Unknown | 64 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 257 | 48% |
Biochemistry, Genetics and Molecular Biology | 150 | 28% |
Medicine and Dentistry | 19 | 4% |
Neuroscience | 11 | 2% |
Computer Science | 8 | 2% |
Other | 21 | 4% |
Unknown | 67 | 13% |