| Title |
Stress response factors drive regrowth of quiescent cells
|
|---|---|
| Published in |
Current Genetics, February 2018
|
| DOI | 10.1007/s00294-018-0813-0 |
| Pubmed ID | |
| Authors |
Zheng Kuang, Hongkai Ji, Jef D. Boeke |
| Abstract |
Quiescent cells exploit an array of transcription factors to activate stress response machinery and maintain survival under nutrient-limited conditions. Our recent findings reveal that these transcription factors also play an important role in the exit of quiescence and regrowth. By studying Saccharomyces cerevisiae under a continuous, nutrient-limited condition, we found that Msn2 and Msn4 function as master regulators of glycolytic genes in the quiescent-like phase. They control the timing of transition from quiescence to growth by regulating the accumulation rate of acetyl-CoA, a key metabolite that is downstream of glycolysis and drives growth. These findings suggest a model that Msn2/4 not only protect the cells from starvation but also facilitate their regrowth from quiescence. Thus, understanding the functions of stress response transcription factors in metabolic regulation will provide deeper insight into how quiescent cells manage the capacity of regrowth. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| France | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 28% |
| Researcher | 3 | 12% |
| Student > Master | 3 | 12% |
| Student > Bachelor | 2 | 8% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 7 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 48% |
| Agricultural and Biological Sciences | 4 | 16% |
| Immunology and Microbiology | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Unknown | 7 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 27 February 2018.
All research outputs
#14,557,279
of 23,313,051 outputs
Outputs from Current Genetics
#801
of 1,205 outputs
Outputs of similar age
#188,824
of 331,469 outputs
Outputs of similar age from Current Genetics
#6
of 20 outputs
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