The emergence of the two cell fates and their associated switching for a negative auto-regulating gene

Autor: Erkang Wang, Kun Zhang, Xiaona Fang, Zhenlong Jiang, Jin Wang, Li Tian, Qiong Liu, Qingzhe Dong
Rok vydání: 2019
Předmět:
Physiology
Molecular Networks (q-bio.MN)
Self-repressor
Cell
Gene regulatory network
Plant Science
Cell fate determination
Biology
General Biochemistry
Genetics and Molecular Biology

Bimodality
Gene product
03 medical and health sciences
0302 clinical medicine
Bacterial Proteins
Structural Biology
Cell fate decision-making
Gene expression
Escherichia coli
medicine
Quantitative Biology - Molecular Networks
Gene Regulatory Networks
lcsh:QH301-705.5
Gene
Ecology
Evolution
Behavior and Systematics

030304 developmental biology
Regulation of gene expression
0303 health sciences
food and beverages
Cell Biology
Phenotype
Cell biology
medicine.anatomical_structure
lcsh:Biology (General)
Gene Expression Regulation
FOS: Biological sciences
General Agricultural and Biological Sciences
030217 neurology & neurosurgery
Research Article
Transcription Factors
Developmental Biology
Biotechnology
Zdroj: BMC Biology
BMC Biology, Vol 17, Iss 1, Pp 1-14 (2019)
ISSN: 1741-7007
Popis: Decisions in the cell that lead to its ultimate fate are important for cellular functions such as proliferation, growth, differentiation, development and death. Understanding this decision process is imperative for advancements in the treatment of diseases such as cancer. It is clear that underlying gene regulatory networks and surrounding environments of the cells are crucial for function. The self-repressor is a very abundant gene regulatory motif, and is often believed to have only one cell fate. In this study, we elucidate the effects of microenvironments mimicking the epigenetic effects on cell fates through the introduction of inducers capable of binding to a self-repressing gene product (protein), thus regulating the associated gene. This alters the effective regulatory binding speed of the self-repressor regulatory protein to its destination DNA without changing the gene itself. The steady state observations and real time monitoring of the self-repressor expression dynamics reveal the emergence of the two cell fates, The simulations are consistent with the experimental findings. We provide physical and quantitative explanations for the origin of the two phenotypic cell fates. We find that two cell fates, rather than a single fate, and their associated switching dynamics emerge from a change in effective gene regulation strengths. The switching time scale is quantified. Our results reveal a new mechanism for the emergence of multiple cell fates. This provides an origin for the heterogeneity often observed among cell states, while illustrating the influence of microenvironments on cell fates and their decision-making processes without genetic changes
Comment: 19 pages, 4 figures
Databáze: OpenAIRE