收稿日期: 2016-02-23
网络出版日期: 2016-10-31
Cell reprogramming based on hierarchical networks and feedback mechanism
Received date: 2016-02-23
Online published: 2016-10-31
刘仕进, 刘艳伟, 王瑞琦 . 基于分层网络和反馈机制的细胞重编程[J]. 上海大学学报(自然科学版), 2016 , 22(5) : 552 -559 . DOI: 10.3969/j.issn.1007-2861.2016.01.017
The process that pluripotent cells differentiate and finally commit to certain cell lineages originates from stem cells. It is performed with a series of cellfate decisions driven by pluripotent progenitors. Reprogramming of pluripotent cells can occur in this process. Focusing on the cell differentiation and presenting a hierarchical network with double negative feedbacks, the reprogramming strategy in the pathways of cell differentiation can be induced by integrated influence of a hierarchical network and the feedback regulatory mechanisms.
[1] Takahashi K, Yamanaka S. Induction of pluripotent stem cells from mouse embryonic and adult fibroblast cultures by defined factors [J]. Cell, 2006, 126(4): 663-676.
[2] Xie H, Ye M, Feng R, et al. Stepwise reprogramming of B cells into macrophages [J]. Cell, 2004, 117(5): 663-676.
[3] Zhou Q, Brown J, Kanarek A, et al. In vivo reprogramming of adult pancreatic exocrine cells to beta-cells [J]. Nature, 2008, 455(7213): 627-632.
[4] Huang S. Reprogramming cell fates: reconciling rarity with robustness [J]. BioEssays, 2009, 31(5): 546-560.
[5] Graf T, Enver T. Forcing cells to change lineages [J]. Nature, 2009, 462(3): 587-594.
[6] Ieda M, Fu J D, Delgado-Olguin P, et al. Direct reprogramming of fibroblasts into functional cardiomyocytes by defined factors [J]. Cell, 2010, 142(3): 375-386.
[7] Novick A, Weiner M. Enzyme induction as an all-or-none phenpmenon [J]. Proceedings of the National Academy of Sciences, 1957, 43(7): 553-566.
[8] Ma R, Wang J C, Hou Z H, et al. Small-number effects: a third stable state in a genetic bistable toggle switch [J]. Physical Review Letters, 2012, 109: 248107.
[9] Thomas R. On the relation between the logical structure of systems and their ability to generate multiple steady states and sustained oscillations [J]. Springer Series in Synergetics, 1981, 9: 180-193.
[10] Nakajima H. Role of transcription factors in differentiation and reprogramming of hematopoietic cells [J]. Keio Journal of Medicine, 2011, 60(2): 47-55.
[11] Cantor A B, Orkin S H. Hematopoietic development: a balancing act [J]. Current Opinion in Genetics and Development, 2001, 11: 513-519.
[12] Kondo M, Scherer D C, Miyamoto T. Cell-fate conversion of lymphoid-committed progenitors by instructive actions of cytokines [J]. Nature, 2000, 407(802): 383-386.
[13] Fukuchi Y, Shibata F, Ito M, et al. Comprehensive analysis of myeloid lineage conversion using mice expressing an inducible form of C/EBP a [J]. The EMBO Journal, 2006, 25(14):3398-3410.
[14] Collier J R, Monk N A, Maini P K, et al. Pattern formation by lateral inhibition with feedback: a mathematical model of delta-notch intercellular signalling [J]. Journal of Theoretical Biology, 1996, 183(4): 429-446.
[15] Liew C W, Rands K D, Simpson R J Y, et al. Molecular analysis of the interaction between the hematopoietic master transcription factors GATA-1 and PU.1 [J]. The Journal of Biological Chemistry, 2006, 281(38): 28296-28306.
[16] Zhou J X, Brusch L B, Huang S. Predicting pancreas cell fate decisions and reprogramming with a hierarchical multi-attractor model [J]. PLoS ONE, 2011, 6(3): e14752.
[17] Hong T, Xing J, Li L W, et al. A mathematical model for the reciprocal differentiation of T helper 17 cells and induced regulatory T cells [J]. PLoS Computational Biology, 2011, 7(7):e1002122.
/
| 〈 |
|
〉 |
