Biology Reference
In-Depth Information
of the realized effective dynamics, thus already granting practical utility to an imperfect
and incomplete model.
At the academic level, much as a hypothetical generic model of a geographic landscape that
we draw in the classroom teaches us about the basic principles behind the formation of
mountains, valleys, and lakes, but does not help us to navigate the real world to move from
one specific place to another due to the absence of information of the specific geography,
so are we, with regard to gene regulatory networks and cell behaviour, only at the classroom
stage of generic cartoonish models. We do not have all the exact information to compute
the specific potential-landscape topography that could guide us from point (cell state)
A to B . But the formal reduction of valleys and mountains in this landscape that
Waddington already proposed, to the first principles of systems dynamics of a network
provides us now with a solid conceptual framework for the current practice of
reprogramming, much of which is still dominated by brute-force trial-and-error efforts in
perturbing the dynamics of gene-regulatory networks. With sufficient information, as to be
expected in the near future, it may be possible using the theories presented here, to
reconstruct the real-world regulatory epigenetic landscape of model organisms. It can then
serve as a specific road map to design efficient strategies for reprogramming of any desired
cell type at will with high efficiency by computing the optimal starting point and paths.
References
1. Wolpert L, Tickle C. Principles of Development , 4th ed. Oxford, UK: Oxford University Press; 2011.
2. Delbruck M. Genetik der bakteriophagen. Klin Wochenschr . 1949;27:109.
3.
Jacob F, Monod J. Genetic regulatory mechanisms in the synthesis of proteins. J Mol Biol . 1961;3:318
356.
4. Kauffman SA. Metabolic stability and epigenesis in randomly constructed genetic nets. J Theor Biol .
1969;22:437
467.
5. Huang S. Reprogramming cell fates: reconciling rarity with robustness. Bioessays . 2009;1:546
98
560.
6. Waddington CH. The epigenotype. Endeavour . 1942;1:18
20.
7. Pisco A, Fouquier d
'
Herouel A, Huang S.
'
Epigenetics:
'
many meanings
one common concept. DNA Cell Biol.
in review.
8. Eldar A, Elowitz MB. Functional roles for noise in genetic circuits. Nature . 2010;467:167
173.
9. Huang S. Cell lineage determination in state space: a systems view brings flexibility to dogmatic canonical
rules. PLoS Biol . 2010;8:e1000380.
10. Huang S, Guo Y-PP, May G, Enver T. Bifurcation dynamics in lineage-commitment in bipotent progenitor cells.
Dev Biol . 2007;305:695 713.
11. Muñoz-Descalzo S, De Navascues J, Arias AM, Munoz-Descalzo S. Wnt-Notch signalling: an integrated
mechanism regulating transitions between cell states. Bioessays . 2012;34:110 118.
12. Graf T. Historical origins of transdifferentiation and reprogramming. Cell Stem Cell . 2011;9:504 516.
13. Okita K, Ichisaka T, Yamanaka S. Generation of germline-competent induced pluripotent stem cells. Nature .
2007;448:313 317.
14. Hanna JH, Saha K, Jaenisch R. Pluripotency and cellular reprogramming: facts, hypotheses, unresolved issues.
Cell . 2010;143:508 525.
15. Zhou Q, Melton DA. Extreme makeover: converting one cell into another. Cell Stem Cell . 2008;3:382 388.
16. Smith J, Theodoris C, Davidson EH. A gene regulatory network subcircuit drives a dynamic pattern of gene
expression. Science . 2007;318:794
797.
17. Huang S, Eichler G, Bar-Yam Y, Ingber DE, Yam YB. Cell fates as high-dimensional attractor states of a complex
gene regulatory network. Phys Rev Lett . 2005;94:1
4.
18. Macarthur BD, Ma
ayan A, Lemischka IR, Ma A. Systems biology of stem cell fate and cellular reprogramming.
Nat Rev Mol Cell Biol . 2009;10:672
'
681.
19. Chang HH, Hemberg M, Barahona M, Ingber DE, Huang S. Transcriptome-wide noise controls lineage choice
in mammalian progenitor cells. Nature . 2008;453:544
547.
20. Enver T, Pera M, Peterson C, Andrews PW. Stem cell states, fates, and the rules of attraction. Cell Stem Cell .
2009;4:387
397.
21. Huang S, Kauffman S. Complex gene regulatory networks
from structure to biological observables: cell fate
determination. Encyclopedia of Complexity and Systems Science . 2009.
Search WWH ::




Custom Search