Environmentally-modulated changes in fluorescence distribution in cells with oscillatory genetic network dynamics.
Environmentally-modulated changes in fluorescence distribution in cells with oscillatory genetic network dynamics.
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DOI:
10.1016/j.jbiotec.2009.01.011
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发表时间:
2009-03-25
影响因子:
4.1
通讯作者:
Mantzaris N
中科院分区:
文献类型:
--
作者:
Portle S;Iadevaia S;San KY;Bennett GN;Mantzaris N
We investigated the distribution of green fluorescent protein (GFP) expression levels in a population of E. coli cells expressing an artificial genetic regulatory network, known as the “repressilator”, which exhibits oscillations at the single-cell level. A series of shake flask experiments were performed and analyzed using flow cytometry to test how cell populations carrying this system could be controlled extracellularly using the inducers anhydrotetracycline (aTc) and isopropyl-β-D-thiogalactopyranoside (IPTG). With variation of [aTc], it exhibits bi-threshold behavior, such that the entire culture reaches one of three steady states at a quasi-time invariant “reference state.” Also, there is significant hysteresis. Transiently, the middle state shows damping oscillations, while the low and high states show a stable steady state. The addition of IPTG serves to fine-tune the characteristics of the aTc-only expression, lowering the average and CV of the distributions, and possibly perturbing the network to a different state. However, in modeling this system, the multiplicity and bi-threshold behavior are not theoretically possible according to the designed interactions. In order to explain this discrepancy, we hypothesize that one or more of the repressors has a significant nonspecific interaction with a promoter that does not contain its operator site. The new modeling results incorporating these extra interactions qualitatively match our experimental findings. After constructing plasmids to test these hypotheses, we discover that at least four of these interactions exist, which can create the low and high states and multiplicity seen experimentally. This genetic architecture has flexibility in its behavior that has not been demonstrated before, and the combination of experiment and modeling enlightened our understanding of the molecular interactions driving the network's behavior, leading us to discover the significance of nonspecific interactions.
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影响因子:
64.8
作者:
Becskei, A;Serrano, L
通讯作者:
Serrano, L
DOI:
10.1073/pnas.74.10.4228
发表时间:
1977-01-01
影响因子:
11.1
作者:
KAOHUANG, Y;REVZIN, A;VONHIPPEL, PH
通讯作者:
VONHIPPEL, PH
DOI:
10.1073/pnas.43.7.553
发表时间:
1957-01-01
影响因子:
11.1
作者:
NOVICK, A;WEINER, M
通讯作者:
WEINER, M
DOI:
10.1016/0025-5564(67)90008-9
发表时间:
1967-01-01
期刊:
MATH BIO SCL
影响因子:
--
作者:
FREDERICKSON, A. G.;RAMKRISHNA, D.;TSUCHIYA, H. M.
通讯作者:
TSUCHIYA, H. M.
影响因子:
14.9
作者:
Lutz, R;Bujard, H
通讯作者:
Bujard, H