Literature DB >> 1637366

Induction mechanism of a single gene molecule: stochastic or deterministic?

M S Ko1.   

Abstract

A new field of gene expression regulation research is emerging that has previously been overlooked. This new area is concerned with distinguishing the expression of a single gene from the averaged expression of many gene copies within the cell population. This paper reviews research focused on individual genes in inducible gene expression systems. The main experimental strategy is to measure the gene expression level of a single cell containing a single reporter gene molecule. In contrast to the commonly held belief, gene induction is found to be stochastic under certain conditions. The possible mechanisms and implications are discussed.

Mesh:

Year:  1992        PMID: 1637366     DOI: 10.1002/bies.950140510

Source DB:  PubMed          Journal:  Bioessays        ISSN: 0265-9247            Impact factor:   4.345


  24 in total

1.  Enhancement of beta-globin locus control region-mediated transactivation by mitogen-activated protein kinases through stochastic and graded mechanisms.

Authors:  E C Forsberg; T N Zaboikina; W K Versaw; N G Ahn; E H Bresnick
Journal:  Mol Cell Biol       Date:  1999-08       Impact factor: 4.272

2.  Stochastic focusing: fluctuation-enhanced sensitivity of intracellular regulation.

Authors:  J Paulsson; O G Berg; M Ehrenberg
Journal:  Proc Natl Acad Sci U S A       Date:  2000-06-20       Impact factor: 11.205

3.  Fluctuations in repressor control: thermodynamic constraints on stochastic focusing.

Authors:  O G Berg; J Paulsson; M Ehrenberg
Journal:  Biophys J       Date:  2000-12       Impact factor: 4.033

4.  Stochasticity in transcriptional regulation: origins, consequences, and mathematical representations.

Authors:  T B Kepler; T C Elston
Journal:  Biophys J       Date:  2001-12       Impact factor: 4.033

5.  Random monoallelic expression of three genes clustered within 60 kb of mouse t complex genomic DNA.

Authors:  Y Sano; T Shimada; H Nakashima; R H Nicholson; J F Eliason; T A Kocarek; M S Ko
Journal:  Genome Res       Date:  2001-11       Impact factor: 9.043

6.  General statistics of stochastic process of gene expression in eukaryotic cells.

Authors:  V A Kuznetsov; G D Knott; R F Bonner
Journal:  Genetics       Date:  2002-07       Impact factor: 4.562

7.  Near-critical phenomena in intracellular metabolite pools.

Authors:  Johan Elf; Johan Paulsson; Otto G Berg; Måns Ehrenberg
Journal:  Biophys J       Date:  2003-01       Impact factor: 4.033

8.  Gene expression profiling in single cells from the pancreatic islets of Langerhans reveals lognormal distribution of mRNA levels.

Authors:  Martin Bengtsson; Anders Ståhlberg; Patrik Rorsman; Mikael Kubista
Journal:  Genome Res       Date:  2005-10       Impact factor: 9.043

9.  Modeling stochastic gene expression: implications for haploinsufficiency.

Authors:  D L Cook; A N Gerber; S J Tapscott
Journal:  Proc Natl Acad Sci U S A       Date:  1998-12-22       Impact factor: 11.205

10.  Quantitative modeling of stochastic systems in molecular biology by using stochastic Petri nets.

Authors:  P J Goss; J Peccoud
Journal:  Proc Natl Acad Sci U S A       Date:  1998-06-09       Impact factor: 11.205

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.