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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Conserved expression of transposon-derived non-coding transcripts in primate stem cells
|
|---|---|
| Published in |
BMC Genomics, February 2017
|
| DOI | 10.1186/s12864-017-3568-y |
| Pubmed ID | |
| Authors |
LeeAnn Ramsay, Maria C. Marchetto, Maxime Caron, Shu-Huang Chen, Stephan Busche, Tony Kwan, Tomi Pastinen, Fred H. Gage, Guillaume Bourque |
| Abstract |
A significant portion of expressed non-coding RNAs in human cells is derived from transposable elements (TEs). Moreover, it has been shown that various long non-coding RNAs (lncRNAs), which come from the human endogenous retrovirus subfamily H (HERVH), are not only expressed but required for pluripotency in human embryonic stem cells (hESCs). To identify additional TE-derived functional non-coding transcripts, we generated RNA-seq data from induced pluripotent stem cells (iPSCs) of four primate species (human, chimpanzee, gorilla, and rhesus) and searched for transcripts whose expression was conserved. We observed that about 30% of TE instances expressed in human iPSCs had orthologous TE instances that were also expressed in chimpanzee and gorilla. Notably, our analysis revealed a number of repeat families with highly conserved expression profiles including HERVH but also MER53, which is known to be the source of a placental-specific family of microRNAs (miRNAs). We also identified a number of repeat families from all classes of TEs, including MLT1-type and Tigger families, that contributed a significant amount of sequence to primate lncRNAs whose expression was conserved. Together, these results describe TE families and TE-derived lncRNAs whose conserved expression patterns can be used to identify what are likely functional TE-derived non-coding transcripts in primate iPSCs. |
X Demographics
The data shown below were collected from the profiles of 30 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 30% |
| Canada | 7 | 23% |
| United Kingdom | 2 | 7% |
| Germany | 2 | 7% |
| Brazil | 1 | 3% |
| Singapore | 1 | 3% |
| Unknown | 8 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 15 | 50% |
| Members of the public | 15 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Sweden | 1 | 2% |
| Germany | 1 | 2% |
| Australia | 1 | 2% |
| Unknown | 55 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 25% |
| Student > Ph. D. Student | 11 | 18% |
| Student > Bachelor | 9 | 15% |
| Student > Doctoral Student | 6 | 10% |
| Professor | 3 | 5% |
| Other | 8 | 13% |
| Unknown | 8 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 22 | 37% |
| Agricultural and Biological Sciences | 19 | 32% |
| Medicine and Dentistry | 3 | 5% |
| Immunology and Microbiology | 3 | 5% |
| Computer Science | 2 | 3% |
| Other | 3 | 5% |
| Unknown | 8 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 May 2017.
All research outputs
#1,780,337
of 22,957,478 outputs
Outputs from BMC Genomics
#448
of 10,686 outputs
Outputs of similar age
#37,130
of 310,855 outputs
Outputs of similar age from BMC Genomics
#17
of 198 outputs
Altmetric has tracked 22,957,478 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,686 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 310,855 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 198 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.