کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
974622 1480154 2015 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Motif for controllable toggle switch in gene regulatory networks
ترجمه فارسی عنوان
موتیف برای سوئیچ کنترل قابل تنظیم در شبکه های نظارتی ژنی
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات فیزیک ریاضی
چکیده انگلیسی


• The motif of a toggle switch with double negative feedback loops is suggested.
• The controllability of the switch could be adjusted to fit different situations.
• The motif could regulate self-oscillating gene regulatory networks as a toggle.

Toggle switch as a common phenomenon in gene regulatory networks has been recognized important for biological functions. Despite much effort dedicated to understanding the toggle switch and designing synthetic biology circuit to achieve the biological function, we still lack a comprehensive understanding of the intrinsic dynamics behind such phenomenon and the minimum structure that is imperative for producing toggle switch. In this paper, we discover a minimum structure, a motif that enables a controllable toggle switch. In particular, the motif consists of a transformative double negative feedback loop (DNFL) that is regulated by an additional driver node. By enumerating all possible regulatory configurations from the driver node, we identify two types of motifs associated with the toggle switch that is captured by the existence of bistable states. The toggle switch is controllable in the sense that the gap between the bistable states is adjustable as determined by the regulatory strength from the driver nodes. We test the effect of the motifs in self-oscillating gene regulatory network (SON) with respect to the interplay between the motifs and the other genes, and find that the switching dynamics of the whole network can be successfully controlled insofar as the network contains a single motif. Our findings are important to uncover the underlying nonlinear dynamics of controllable toggle switch and can have implications in devising biology circuit in the field of synthetic biology.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physica A: Statistical Mechanics and its Applications - Volume 419, 1 February 2015, Pages 498–505
نویسندگان
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