Title |
Circular RNAs Are the Predominant Transcript Isoform from Hundreds of Human Genes in Diverse Cell Types
|
---|---|
Published in |
PLOS ONE, February 2012
|
DOI | 10.1371/journal.pone.0030733 |
Pubmed ID | |
Authors |
Julia Salzman, Charles Gawad, Peter Lincoln Wang, Norman Lacayo, Patrick O. Brown |
Abstract |
Most human pre-mRNAs are spliced into linear molecules that retain the exon order defined by the genomic sequence. By deep sequencing of RNA from a variety of normal and malignant human cells, we found RNA transcripts from many human genes in which the exons were arranged in a non-canonical order. Statistical estimates and biochemical assays provided strong evidence that a substantial fraction of the spliced transcripts from hundreds of genes are circular RNAs. Our results suggest that a non-canonical mode of RNA splicing, resulting in a circular RNA isoform, is a general feature of the gene expression program in human cells. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 12 | 31% |
France | 2 | 5% |
United Kingdom | 2 | 5% |
Japan | 2 | 5% |
Germany | 2 | 5% |
Belgium | 1 | 3% |
Mexico | 1 | 3% |
Italy | 1 | 3% |
Austria | 1 | 3% |
Other | 3 | 8% |
Unknown | 12 | 31% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 18 | 46% |
Members of the public | 18 | 46% |
Science communicators (journalists, bloggers, editors) | 2 | 5% |
Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 24 | 2% |
United Kingdom | 6 | <1% |
Japan | 6 | <1% |
Germany | 5 | <1% |
Brazil | 5 | <1% |
France | 2 | <1% |
Italy | 2 | <1% |
Luxembourg | 2 | <1% |
China | 2 | <1% |
Other | 12 | <1% |
Unknown | 1210 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 296 | 23% |
Researcher | 237 | 19% |
Student > Master | 156 | 12% |
Student > Bachelor | 142 | 11% |
Student > Doctoral Student | 62 | 5% |
Other | 172 | 13% |
Unknown | 211 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 452 | 35% |
Biochemistry, Genetics and Molecular Biology | 366 | 29% |
Medicine and Dentistry | 84 | 7% |
Neuroscience | 36 | 3% |
Computer Science | 23 | 2% |
Other | 84 | 7% |
Unknown | 231 | 18% |