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Items: 1 to 20 of 88

1.

Nature, nurture, or chance: stochastic gene expression and its consequences.

Raj A, van Oudenaarden A.

Cell. 2008 Oct 17;135(2):216-26. doi: 10.1016/j.cell.2008.09.050. Review.

2.

Teasing apart translational and transcriptional components of stochastic variations in eukaryotic gene expression.

Salari R, Wojtowicz D, Zheng J, Levens D, Pilpel Y, Przytycka TM.

PLoS Comput Biol. 2012;8(8):e1002644. doi: 10.1371/journal.pcbi.1002644. Epub 2012 Aug 30. Erratum in: PLoS Comput Biol. 2012;8(10): doi/10.1371/annotation/4498943d-525d-4ac1-8375-ae78e67ea0c8.

3.

Noise in eukaryotic gene expression.

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

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

PMID:
12687005
4.

Transcriptional stochasticity in gene expression.

Lipniacki T, Paszek P, Marciniak-Czochra A, Brasier AR, Kimmel M.

J Theor Biol. 2006 Jan 21;238(2):348-67. Epub 2005 Jul 21.

PMID:
16039671
5.

Stochasticity in gene expression: from theories to phenotypes.

Kaern M, Elston TC, Blake WJ, Collins JJ.

Nat Rev Genet. 2005 Jun;6(6):451-64. Review.

PMID:
15883588
6.

Quantifying intrinsic and extrinsic variability in stochastic gene expression models.

Singh A, Soltani M.

PLoS One. 2013 Dec 31;8(12):e84301. doi: 10.1371/journal.pone.0084301. eCollection 2013.

7.

Stochastic model of transcription factor-regulated gene expression.

Karmakar R, Bose I.

Phys Biol. 2006 Sep 28;3(3):200-8.

PMID:
17021384
8.

[Deterministic and stochastic models for circadian rhythms].

Gonze D, Halloy J, Goldbeter A.

Pathol Biol (Paris). 2003 Jun;51(4):227-30. French.

PMID:
12852998
9.

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

Raser JM, O'Shea EK.

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

10.

Single-molecule approaches to stochastic gene expression.

Raj A, van Oudenaarden A.

Annu Rev Biophys. 2009;38:255-70. doi: 10.1146/annurev.biophys.37.032807.125928. Review.

11.

Single cell resolution in regulation of gene expression.

Bahcall OG.

Mol Syst Biol. 2005;1:2005.0015. Epub 2005 Jun 28. No abstract available.

12.

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

Kuznetsov VA, Knott GD, Bonner RF.

Genetics. 2002 Jul;161(3):1321-32.

13.

A stochastic model for circadian rhythms from coupled ultradian oscillators.

Edwards R, Gibson R, Illner R, Paetkau V.

Theor Biol Med Model. 2007 Jan 9;4:1.

14.

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
15.

Robust circadian clocks from coupled protein-modification and transcription-translation cycles.

Zwicker D, Lubensky DK, ten Wolde PR.

Proc Natl Acad Sci U S A. 2010 Dec 28;107(52):22540-5. doi: 10.1073/pnas.1007613107. Epub 2010 Dec 13.

16.

Gene regulation and noise reduction by coupling of stochastic processes.

Ramos AF, Hornos JE, Reinitz J.

Phys Rev E Stat Nonlin Soft Matter Phys. 2015 Feb;91(2):020701. Epub 2015 Feb 26.

17.

Overview of eukaryotic in vitro translation and expression systems.

Jagus R, Beckler GS.

Curr Protoc Cell Biol. 2003 Apr;Chapter 11:Unit 11.1. doi: 10.1002/0471143030.cb1101s00. Review.

PMID:
18228417
18.

Stochastic simulation of the mammalian circadian clock.

Forger DB, Peskin CS.

Proc Natl Acad Sci U S A. 2005 Jan 11;102(2):321-4. Epub 2004 Dec 30.

20.

Peroxiredoxins are conserved markers of circadian rhythms.

Edgar RS, Green EW, Zhao Y, van Ooijen G, Olmedo M, Qin X, Xu Y, Pan M, Valekunja UK, Feeney KA, Maywood ES, Hastings MH, Baliga NS, Merrow M, Millar AJ, Johnson CH, Kyriacou CP, O'Neill JS, Reddy AB.

Nature. 2012 May 16;485(7399):459-64. doi: 10.1038/nature11088. Erratum in: Nature. 2012 Sep 27;489(7417):590.

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