Positional information generated by spatially distributed signaling cascades.
Positional information generated by spatially distributed signaling cascades.
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DOI:
10.1371/journal.pcbi.1000330
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发表时间:
2009-03
影响因子:
4.3
通讯作者:
Kholodenko BN
中科院分区:
文献类型:
--
作者:
Muñoz-García J;Neufeld Z;Kholodenko BN
The temporal and stationary behavior of protein modification cascades has been extensively studied, yet little is known about the spatial aspects of signal propagation. We have previously shown that the spatial separation of opposing enzymes, such as a kinase and a phosphatase, creates signaling activity gradients. Here we show under what conditions signals stall in the space or robustly propagate through spatially distributed signaling cascades. Robust signal propagation results in activity gradients with long plateaus, which abruptly decay at successive spatial locations. We derive an approximate analytical solution that relates the maximal amplitude and propagation length of each activation profile with the cascade level, protein diffusivity, and the ratio of the opposing enzyme activities. The control of the spatial signal propagation appears to be very different from the control of transient temporal responses for spatially homogenous cascades. For spatially distributed cascades where activating and deactivating enzymes operate far from saturation, the ratio of the opposing enzyme activities is shown to be a key parameter controlling signal propagation. The signaling gradients characteristic for robust signal propagation exemplify a pattern formation mechanism that generates precise spatial guidance for multiple cellular processes and conveys information about the cell size to the nucleus. Living cells detect environmental cues and propagate signals into the cell interior employing signaling cascades of protein modification cycles. A cycle consists of a pair of opposing enzymes controlling the activation and deactivation of a protein, where the active form transmits the signal to the next cascade level. A crucial challenge in cell and developmental biology is to understand how these cascades convey signals over large distances and how spatial information is encoded in these signals. With the advent of advanced imaging techniques, there has been emerging interest in understanding signal propagation in cells and tissues. Based on a simple cascade model, we determine the conditions for signal propagation and show how propagating signals generate spatial patterns that can provide positional information for various cellular processes.
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影响因子:
1.7
作者:
Corless, RM;Gonnet, GH;Knuth, DE
通讯作者:
Knuth, DE
影响因子:
5.4
作者:
Blüthgen, N;Bruggeman, FJ;Kholodenko, BN
通讯作者:
Kholodenko, BN
影响因子:
16
作者:
Heinrich, R;Neel, BG;Rapoport, TA
通讯作者:
Rapoport, TA
影响因子:
64.8
作者:
Fuller, Brian G.;Lampson, Michael A.;Kapoor, Tarun M.
通讯作者:
Kapoor, Tarun M.
DOI:
10.1111/j.1432-1033.1992.tb17402.x
发表时间:
1992-11-15
期刊:
EUROPEAN JOURNAL OF BIOCHEMISTRY
影响因子:
--
作者:
KHOLODENKO, BN;LYUBAREV, AE;KURGANOV, BI
通讯作者:
KURGANOV, BI