| Title |
One-two punch mechanism of gene repression: a fresh perspective on gene regulation
|
|---|---|
| Published in |
Current Genetics, December 2017
|
| DOI | 10.1007/s00294-017-0793-5 |
| Pubmed ID | |
| Authors |
Amy Tresenrider, Elçin Ünal |
| Abstract |
Cellular differentiation depends on temporally controlled waves of gene activation and inactivation that ultimately transform one cell type into another. It is well established that transcription factor cascades coordinate the timely activation of gene expression clusters during development. In comparison, much less is understood about how gene repression events are coordinated with the transcription factor-driven waves of gene activation and how this repression is achieved at a mechanistic level. Using budding yeast as a model, we recently discovered a new gene regulatory event, whereby a central meiotic transcription factor induces the expression of an mRNA isoform to repress gene expression through an integrated transcriptional and translational mechanism. This new model could explain how gene activation and inactivation waves can be temporally coordinated. In this review, we discuss our findings and their potential implications. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 33% |
| Japan | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 27% |
| Student > Master | 4 | 13% |
| Student > Doctoral Student | 3 | 10% |
| Student > Bachelor | 2 | 7% |
| Other | 2 | 7% |
| Other | 4 | 13% |
| Unknown | 7 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 50% |
| Agricultural and Biological Sciences | 4 | 13% |
| Environmental Science | 1 | 3% |
| Chemical Engineering | 1 | 3% |
| Computer Science | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 7 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 10 December 2017.
All research outputs
#14,941,480
of 25,918,061 outputs
Outputs from Current Genetics
#774
of 1,235 outputs
Outputs of similar age
#222,472
of 449,752 outputs
Outputs of similar age from Current Genetics
#3
of 25 outputs
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So far Altmetric has tracked 1,235 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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