Evidence map›Paper›PMID 32714375›Full record

ArticleFrontiers in genetics2020

Stochastic Dynamics of Gene Switching and Energy Dissipation for Gene Expression.

Quan Liu, FengZhen Yu, Liang Yi, Yijun Gao, Rong Gui, Ming Yi, Jianqiang Sun

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Quan LiuDepartment of Physics, College of Science, Huazhong Agricultural University, Wuhan, China.
FengZhen YuDepartment of Chemistry, College of Science, Huazhong Agricultural University, Wuhan, China.
Liang YiCollege of Animal Science and Technology and College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China.
Yijun GaoDepartment of Physics, College of Science, Huazhong Agricultural University, Wuhan, China.
Rong GuiDepartment of Physics, College of Science, Huazhong Agricultural University, Wuhan, China.
Ming YiSchool of Mathematics and Physics, China University of Geosciences, Wuhan, China.
Jianqiang SunSchool of Automation and Electrical Engineering, Linyi University, Linyi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stochastic dynamics of gene switching and energy dissipation for gene expression are largely unknown, mainly due to the complexity of non-equilibrium mechanisms. Here, based on an important double-deck loop model, the stochastic mechanisms of gene switching and energy dissipation are studied. First, the probability distributions of steady states are calculated theoretically. It is found that the signal can strengthen the choice of gene switching between the "off" and "on" states. Our analysis of energy consumption illustrates that, compared with the synthesis and degradation of proteins, the process of gene switching costs little energy. Our theoretical analysis reveals some interesting insights into the determination of cell state and energy dissipation for gene expression.

Indexed as

chemical master equationsenergy dissipationgene switchingnon-equilibrium mechanismsstochastic dynamics

Identifiers

PMID32714375
PMCPMC7343763

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.