Title |
Intronic RNAs constitute the major fraction of the non-coding RNA in mammalian cells
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Published in |
BMC Genomics, September 2012
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DOI | 10.1186/1471-2164-13-504 |
Pubmed ID | |
Authors |
Georges St Laurent, Dmitry Shtokalo, Michael R Tackett, Zhaoqing Yang, Tatyana Eremina, Claes Wahlestedt, Silvio Urcuqui-Inchima, Bernd Seilheimer, Timothy A McCaffrey, Philipp Kapranov |
Abstract |
The function of RNA from the non-coding (the so called "dark matter") regions of the genome has been a subject of considerable recent debate. Perhaps the most controversy is regarding the function of RNAs found in introns of annotated transcripts, where most of the reads that map outside of exons are usually found. However, it has been reported that the levels of RNA in introns are minor relative to those of the corresponding exons, and that changes in the levels of intronic RNAs correlate tightly with that of adjacent exons. This would suggest that RNAs produced from the vast expanse of intronic space are just pieces of pre-mRNAs or excised introns en route to degradation. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 50% |
Spain | 1 | 10% |
France | 1 | 10% |
Unknown | 3 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 7 | 70% |
Members of the public | 2 | 20% |
Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 3% |
United Kingdom | 4 | 2% |
Italy | 2 | 1% |
France | 1 | <1% |
Israel | 1 | <1% |
Colombia | 1 | <1% |
Germany | 1 | <1% |
India | 1 | <1% |
Denmark | 1 | <1% |
Other | 1 | <1% |
Unknown | 163 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 52 | 29% |
Researcher | 48 | 27% |
Student > Master | 13 | 7% |
Student > Bachelor | 12 | 7% |
Professor > Associate Professor | 10 | 6% |
Other | 21 | 12% |
Unknown | 25 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 88 | 49% |
Biochemistry, Genetics and Molecular Biology | 40 | 22% |
Computer Science | 5 | 3% |
Medicine and Dentistry | 4 | 2% |
Neuroscience | 4 | 2% |
Other | 12 | 7% |
Unknown | 28 | 15% |