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Results: 1 to 20 of 114

Similar articles for PubMed (Select 19738627)

1.

Systems biology of stem cell fate and cellular reprogramming.

Macarthur BD, Ma'ayan A, Lemischka IR.

Nat Rev Mol Cell Biol. 2009 Oct;10(10):672-81. doi: 10.1038/nrm2766. Epub 2009 Sep 9. Review.

2.

Reprogramming cell fates: reconciling rarity with robustness.

Huang S.

Bioessays. 2009 May;31(5):546-60. doi: 10.1002/bies.200800189.

PMID:
19319911
3.

Quantifying Waddington landscapes and paths of non-adiabatic cell fate decisions for differentiation, reprogramming and transdifferentiation.

Li C, Wang J.

J R Soc Interface. 2013 Oct 16;10(89):20130787. doi: 10.1098/rsif.2013.0787. Print 2013 Dec 6.

4.

Systems biology approaches to understanding stem cell fate choice.

Peltier J, Schaffer DV.

IET Syst Biol. 2010 Jan;4(1):1-11. doi: 10.1049/iet-syb.2009.0011. Review.

PMID:
20001088
5.

Probing the role of stochasticity in a model of the embryonic stem cell: heterogeneous gene expression and reprogramming efficiency.

Chickarmane V, Olariu V, Peterson C.

BMC Syst Biol. 2012 Aug 13;6:98. doi: 10.1186/1752-0509-6-98.

6.

A deterministic map of Waddington's epigenetic landscape for cell fate specification.

Bhattacharya S, Zhang Q, Andersen ME.

BMC Syst Biol. 2011 May 27;5:85. doi: 10.1186/1752-0509-5-85.

7.

Network biology: A compass for stem-cell differentiation.

Müller FJ, Loring JF.

Nature. 2014 Sep 25;513(7519):498-9. doi: 10.1038/513498a. No abstract available.

PMID:
25254472
8.

Self-organizing map of gene regulatory networks for cell phenotypes during reprogramming.

Zhang L, Zheng Y, Li D, Zhong Y.

Comput Biol Chem. 2011 Aug 10;35(4):211-7. doi: 10.1016/j.compbiolchem.2011.05.002. Epub 2011 May 26.

PMID:
21864790
9.

Toward stem cell systems biology: from molecules to networks and landscapes.

MacArthur BD, Ma'ayan A, Lemischka IR.

Cold Spring Harb Symp Quant Biol. 2008;73:211-5. doi: 10.1101/sqb.2008.73.061. Epub 2009 Mar 27. Review.

10.

Transcriptional regulatory networks in haematopoiesis.

Miranda-Saavedra D, Göttgens B.

Curr Opin Genet Dev. 2008 Dec;18(6):530-5. doi: 10.1016/j.gde.2008.09.001. Epub 2008 Oct 7. Review.

PMID:
18838119
11.

Quantifying cell fate decisions for differentiation and reprogramming of a human stem cell network: landscape and biological paths.

Li C, Wang J.

PLoS Comput Biol. 2013;9(8):e1003165. doi: 10.1371/journal.pcbi.1003165. Epub 2013 Aug 1.

12.

Stable expression of neurogenin 1 induces LGR5, a novel stem cell marker, in an immortalized human neural stem cell line HB1.F3.

Satoh J, Obayashi S, Tabunoki H, Wakana T, Kim SU.

Cell Mol Neurobiol. 2010 Apr;30(3):415-26. doi: 10.1007/s10571-009-9466-3. Epub 2009 Oct 8.

PMID:
19813087
13.

Stem cell differentiation as a many-body problem.

Zhang B, Wolynes PG.

Proc Natl Acad Sci U S A. 2014 Jul 15;111(28):10185-90. doi: 10.1073/pnas.1408561111. Epub 2014 Jun 19.

14.

Multiway modeling and analysis in stem cell systems biology.

Yener B, Acar E, Aguis P, Bennett K, Vandenberg SL, Plopper GE.

BMC Syst Biol. 2008 Jul 14;2:63. doi: 10.1186/1752-0509-2-63.

15.

The biology and engineering of stem-cell control.

O'Neill A, Schaffer DV.

Biotechnol Appl Biochem. 2004 Aug;40(Pt 1):5-16. Review.

PMID:
15270702
16.

Predicting pancreas cell fate decisions and reprogramming with a hierarchical multi-attractor model.

Zhou JX, Brusch L, Huang S.

PLoS One. 2011 Mar 14;6(3):e14752. doi: 10.1371/journal.pone.0014752.

17.

The potential landscape of genetic circuits imposes the arrow of time in stem cell differentiation.

Wang J, Xu L, Wang E, Huang S.

Biophys J. 2010 Jul 7;99(1):29-39. doi: 10.1016/j.bpj.2010.03.058.

18.

A dynamical model of genetic networks for cell differentiation.

Villani M, Barbieri A, Serra R.

PLoS One. 2011 Mar 18;6(3):e17703. doi: 10.1371/journal.pone.0017703.

19.

Detecting cellular reprogramming determinants by differential stability analysis of gene regulatory networks.

Crespo I, Perumal TM, Jurkowski W, del Sol A.

BMC Syst Biol. 2013 Dec 19;7:140. doi: 10.1186/1752-0509-7-140.

20.

Deciphering the stem cell machinery as a basis for understanding the molecular mechanism underlying reprogramming.

Bosnali M, Münst B, Thier M, Edenhofer F.

Cell Mol Life Sci. 2009 Nov;66(21):3403-20. doi: 10.1007/s00018-009-0095-2. Epub 2009 Aug 7. Review.

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