Dynamical mRNA distribution regulated by multi-step gene activation
Source abstract
Abstract
Transcriptional bursting has been attributed to the random switch between the off and on states of genes. Previous studies modeled gene activation as a process involving ordered multiple rate-limiting steps. Here, we aimed to understand how multi-step gene activation regulates the dynamical mRNA distribution in isogenic cell populations. We focused on both inactive and active genes for which the gene shows a longer average duration in the off and on states, respectively. We developed a method to calculate the mRNA distribution and demonstrated the unstable dynamical bimodal distribution induced by multi-step activation. The suppression of bimodality requires only a few activation steps and is achieved by triggering more cells to express the gene. In the gene-expressing cell population, multi-step gene activation modulates the transcription distribution in a bidirectional manner: the inactive gene is transcribed with enhanced heterogeneity, whereas the active gene is facilitated to generate homogeneous transcription dynamics. These regulation scenarios guide the understanding of the network structure of signaling pathways that direct gene activation.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Gene Regulatory Network Analysis · Single-cell and spatial transcriptomics · Bioinformatics and Genomic Networks
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Mathematics and Information Sciences, Guangzhou University 1 , Guangzhou 510006, People’s Republic of China
Center for Applied Mathematics, Guangzhou University 2 , Guangzhou 510006, People’s Republic of China
Funding
National Natural Science Foundation of China · Program for Changjiang Scholars and Innovative Research Team in University
References (46)
Show source-provided references
1. Using gene expression noise to understand gene regulation10.1126/science.1216379 ↗
2. Genetic determinants and cellular constraints in noisy gene expression10.1126/science.1242975 ↗
3. Genomic encoding of transcriptional burst kinetics10.1038/s41586-018-0836-1 ↗
4. Stochastic mRNA synthesis in mammalian cells10.1371/journal.pbio.0040309 ↗
5. Bursty gene expression in the intact mammalian liver10.1016/j.molcel.2015.01.027 ↗
6. Orthogonal control of expression mean and variance by epigenetic features at different genomic loci10.15252/msb.20145704 ↗
7. Distribution profiles and their dynamic transition in stochastic gene transcription10.1016/j.jde.2013.01.019 ↗
8. Integrating single-molecule experiments and discrete stochastic models to understand heterogeneous gene transcription dynamics10.1016/j.ymeth.2015.06.009 ↗
9. Dynamical phase diagram of an auto-regulating gene in fast switching conditions10.1063/5.0007221 ↗
10. Single-RNA counting reveals alternative modes of gene expression in yeast10.1038/nsmb.1514 ↗
11. Regulated fluctuations in nanog expression mediate cell fate decisions in embryonic stem cells10.1371/journal.pbio.1000149 ↗
12. Transcription factors modulate c-Fos transcriptional bursts10.1016/j.celrep.2014.05.053 ↗
13. Distribution modes and their corresponding parameter regions in stochastic gene transcription10.1137/151005567 ↗
14. Stochasticity of gene products from transcriptional pulsing10.1103/PhysRevE.79.031911 ↗
15. Analytical formula and dynamic profile of mRNA distribution10.3934/dcdsb.2019180 ↗
16. Real-time kinetics of gene activity in individual bacteria10.1016/j.cell.2005.09.031 ↗
17. Transient activation of the HOG MAPK pathway regulates bimodal gene expression10.1126/science.1198851 ↗
18. Systematic identification of signal-activated stochastic gene regulation10.1126/science.1231456 ↗
19. Single cell assay of a transcription factor reveals a threshold in transcription activated by signals emanating from the T-cell antigen receptor10.1101/gad.4.10.1823 ↗
20. What do expression dynamics tell us about the mechanism of transcription10.1016/j.gde.2011.07.010 ↗
21. Dynamical regulation of mRNA distribution by cross-talking signaling pathways10.1155/2020/6402703 ↗
22. Dissecting the stochastic transcription initiation process in live Escherichia coli10.1093/dnares/dsw009 ↗
23. What makes the lac-pathway switch: Identifying the fluctuations that trigger phenotype switching in gene regulatory systems10.1093/nar/gku839 ↗
24. Estimation of kinetic parameters of transcription from temporal single-RNA measurements10.1016/j.mbs.2015.10.001 ↗
25. Mammalian genes are transcribed with widely different bursting kinetics10.1126/science.1198817 ↗
26. The mean and noise of stochastic gene transcription10.1016/j.jtbi.2008.03.023 ↗
27. The mean and noise of protein numbers in stochastic gene expression10.1007/s00285-012-0551-8 ↗
28. Analytical results for a multistate gene model10.1137/110852887 ↗
29. Nonlinear dynamics and noise actuated by the cycle of gene inactivation in stochastic transcription10.1016/j.cnsns.2020.105398 ↗
30. Markovian modelling of gene-product synthesis10.1006/tpbi.1995.1027 ↗
31. Binary and graded evolution in time in a simple model of gene induction10.1103/PhysRevE.82.052902 ↗
32. Analytical distributions for detailed models of stochastic gene expression in eukaryotic cells10.1073/pnas.1910888117 ↗
33. Lysogen stability is determined by the frequency of activity bursts from the fate-determining gene10.1038/msb.2010.96 ↗
34. Screening for noise in gene expression identifies drug synergies10.1126/science.1250220 ↗
35. General properties of the transcriptional timeseries in Escherichia coli10.1038/ng.821 ↗
36. Promoter sequence determines the relationship between expression level and noise10.1371/journal.pbio.1001528 ↗
37. Effects of cell cycle variability on lineage and population measurements of messenger RNA abundance10.1098/rsif.2020.0360 ↗
38. Regulation of gene activation by competitive cross talking pathways10.1016/j.bpj.2020.08.011 ↗
39. Distribution profiles in gene transcription activated by the cross-talking pathway10.3934/dcdsb.2018275 ↗
40. Fluctuations of mRNA distributions in multiple pathway activated transcription10.3934/dcdsb.2018219 ↗
41. A stochastic model of gene expression with polymerase recruitment and pause release10.1016/j.bpj.2020.07.020 ↗
42. The dynamics of gene transcription with a periodic synthesis rate10.1007/s11071-021-06569-y ↗
43. Approximating gene transcription dynamics using steady-state formulas10.1103/physreve.104.014401 ↗
44. The dynamics of gene transcription in random environments10.3934/dcdsb.2018224 ↗
45. First encounters on Bethe lattices and Cayley trees10.1016/j.cnsns.2020.105594 ↗
46. Exact results for the first-passage properties in a class of fractal networks10.1063/1.5080481 ↗