Title |
MicroRNAs and their isomiRs function cooperatively to target common biological pathways
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Published in |
Genome Biology, December 2011
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DOI | 10.1186/gb-2011-12-12-r126 |
Pubmed ID | |
Authors |
Nicole Cloonan, Shivangi Wani, Qinying Xu, Jian Gu, Kristi Lea, Sheila Heater, Catalin Barbacioru, Anita L Steptoe, Hilary C Martin, Ehsan Nourbakhsh, Keerthana Krishnan, Brooke Gardiner, Xiaohui Wang, Katia Nones, Jason A Steen, Nicholas A Matigian, David L Wood, Karin S Kassahn, Nic Waddell, Jill Shepherd, Clarence Lee, Jeff Ichikawa, Kevin McKernan, Kelli Bramlett, Scott Kuersten, Sean M Grimmond |
Abstract |
Variants of microRNAs (miRNAs), called isomiRs, are commonly reported in deep-sequencing studies; however, the functional significance of these variants remains controversial. Observational studies show that isomiR patterns are non-random, hinting that these molecules could be regulated and therefore functional, although no conclusive biological role has been demonstrated for these molecules. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 25% |
United Kingdom | 2 | 25% |
Germany | 1 | 13% |
India | 1 | 13% |
Belgium | 1 | 13% |
Unknown | 1 | 13% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 63% |
Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Science communicators (journalists, bloggers, editors) | 1 | 13% |
Scientists | 1 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | 2% |
Germany | 3 | <1% |
Italy | 3 | <1% |
Portugal | 2 | <1% |
France | 2 | <1% |
Chile | 2 | <1% |
Brazil | 2 | <1% |
Spain | 2 | <1% |
Denmark | 2 | <1% |
Other | 9 | 2% |
Unknown | 334 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 93 | 25% |
Researcher | 82 | 22% |
Student > Master | 49 | 13% |
Student > Bachelor | 32 | 9% |
Professor > Associate Professor | 19 | 5% |
Other | 58 | 16% |
Unknown | 35 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 176 | 48% |
Biochemistry, Genetics and Molecular Biology | 82 | 22% |
Medicine and Dentistry | 22 | 6% |
Computer Science | 15 | 4% |
Immunology and Microbiology | 4 | 1% |
Other | 21 | 6% |
Unknown | 48 | 13% |