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Items: 1 to 20 of 145

1.

Using gene expression noise to understand gene regulation.

Munsky B, Neuert G, van Oudenaarden A.

Science. 2012 Apr 13;336(6078):183-7. doi: 10.1126/science.1216379. Review.

2.

Noise in gene expression: origins, consequences, and control.

Raser JM, O'Shea EK.

Science. 2005 Sep 23;309(5743):2010-3. Review.

3.

Living with noisy genes: how cells function reliably with inherent variability in gene expression.

Maheshri N, O'Shea EK.

Annu Rev Biophys Biomol Struct. 2007;36:413-34. Review.

PMID:
17477840
4.

Noise in eukaryotic gene expression.

Blake WJ, KAErn M, Cantor CR, Collins JJ.

Nature. 2003 Apr 10;422(6932):633-7.

PMID:
12687005
5.

Transient changes in intercellular protein variability identify sources of noise in gene expression.

Singh A.

Biophys J. 2014 Nov 4;107(9):2214-20. doi: 10.1016/j.bpj.2014.09.017.

6.

Negative feedback through mRNA provides the best control of gene-expression noise.

Singh A.

IEEE Trans Nanobioscience. 2011 Sep;10(3):194-200. doi: 10.1109/TNB.2011.2168826.

PMID:
22020106
7.

Regulation of noise in the expression of a single gene.

Ozbudak EM, Thattai M, Kurtser I, Grossman AD, van Oudenaarden A.

Nat Genet. 2002 May;31(1):69-73. Epub 2002 Apr 22.

PMID:
11967532
8.

Exact protein distributions for stochastic models of gene expression using partitioning of Poisson processes.

Pendar H, Platini T, Kulkarni RV.

Phys Rev E Stat Nonlin Soft Matter Phys. 2013 Apr;87(4):042720. Epub 2013 Apr 26.

PMID:
23679462
9.

Distribution of population-averaged observables in stochastic gene expression.

Bhattacharyya B, Kalay Z.

Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Jan;89(1):012715. Epub 2014 Jan 21.

PMID:
24580265
10.

Exact distributions for stochastic gene expression models with bursting and feedback.

Kumar N, Platini T, Kulkarni RV.

Phys Rev Lett. 2014 Dec 31;113(26):268105. Epub 2014 Dec 31.

PMID:
25615392
11.

Post-transcriptional regulation of noise in protein distributions during gene expression.

Jia T, Kulkarni RV.

Phys Rev Lett. 2010 Jul 2;105(1):018101. Epub 2010 Jun 28.

PMID:
20867481
12.

Non-equilibrium dynamics of stochastic gene regulation.

Ghosh A.

J Biol Phys. 2015 Jan;41(1):49-58. doi: 10.1007/s10867-014-9365-9. Epub 2014 Oct 8.

13.

Origins of extrinsic variability in eukaryotic gene expression.

Volfson D, Marciniak J, Blake WJ, Ostroff N, Tsimring LS, Hasty J.

Nature. 2006 Feb 16;439(7078):861-4. Epub 2005 Dec 21.

PMID:
16372021
14.
15.

Stochastic and delayed stochastic models of gene expression and regulation.

Ribeiro AS.

Math Biosci. 2010 Jan;223(1):1-11. doi: 10.1016/j.mbs.2009.10.007. Epub 2009 Oct 31. Review.

PMID:
19883665
16.

Intrinsic and extrinsic contributions to stochasticity in gene expression.

Swain PS, Elowitz MB, Siggia ED.

Proc Natl Acad Sci U S A. 2002 Oct 1;99(20):12795-800. Epub 2002 Sep 17.

17.

Selection to minimise noise in living systems and its implications for the evolution of gene expression.

Lehner B.

Mol Syst Biol. 2008;4:170. doi: 10.1038/msb.2008.11. Epub 2008 Mar 4.

18.

Signatures of gene expression noise in cellular systems.

Rausenberger J, Fleck C, Timmer J, Kollmann M.

Prog Biophys Mol Biol. 2009 Sep-Oct;100(1-3):57-66. doi: 10.1016/j.pbiomolbio.2009.06.003. Epub 2009 Jun 11.

PMID:
19523977
19.

Stochastic models of transcription: from single molecules to single cells.

Sanchez A, Choubey S, Kondev J.

Methods. 2013 Jul 15;62(1):13-25. doi: 10.1016/j.ymeth.2013.03.026. Epub 2013 Apr 1.

PMID:
23557991
20.

Transcriptional bursting from the HIV-1 promoter is a significant source of stochastic noise in HIV-1 gene expression.

Singh A, Razooky B, Cox CD, Simpson ML, Weinberger LS.

Biophys J. 2010 Apr 21;98(8):L32-4. doi: 10.1016/j.bpj.2010.03.001.

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