| Title |
Understanding the regulation of coding and noncoding transcription in cell populations
|
|---|---|
| Published in |
Current Genetics, December 2015
|
| DOI | 10.1007/s00294-015-0547-1 |
| Pubmed ID | |
| Authors |
Traude Helene Beilharz |
| Abstract |
Whole transcriptome analyses have unveiled the uncomfortable truth that we know less about how transcription is regulated then we thought. In addition to its role in classic promoter-driven transcription of coding RNA, it is now clear that RNA Pol II also drives abundant expression of noncoding RNA. For the majority of this the functional significance remains unclear. Moreover, its regulation and impact are hard to predict because it often proceeds in unexpected ways from cryptic promoters, including by driving convergent antisense transcription from within 3' UTRs. This review suggests that its time to rethink how we envisage gene expression by inclusion of the regulatory architecture of the full genetic locus, and expanding our thinking to encompass the fact that we generally study cells within heterogeneous populations. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 13% |
| Unknown | 7 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 25% |
| Lecturer > Senior Lecturer | 1 | 13% |
| Professor | 1 | 13% |
| Student > Master | 1 | 13% |
| Student > Ph. D. Student | 1 | 13% |
| Other | 2 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 50% |
| Agricultural and Biological Sciences | 3 | 38% |
| Neuroscience | 1 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 16 December 2015.
All research outputs
#20,298,249
of 22,835,198 outputs
Outputs from Current Genetics
#1,058
of 1,203 outputs
Outputs of similar age
#326,629
of 389,181 outputs
Outputs of similar age from Current Genetics
#25
of 34 outputs
Altmetric has tracked 22,835,198 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,203 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 389,181 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.