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Quantitative Biology > Molecular Networks

arXiv:1911.10252 (q-bio)
[Submitted on 22 Nov 2019 ]

Title: Biological Regulatory Networks are Minimally Frustrated

Title: 生物调控网络是最小挫折的

Authors:Shubham Tripathi, David A. Kessler, Herbert Levine
Abstract: Characterization of the differences between biological and random networks can reveal the design principles that enable the robust realization of crucial biological functions including the establishment of different cell types. Previous studies, focusing on identifying topological features that are present in biological networks but not in random networks, have, however, provided few functional insights. We use a Boolean modeling framework and ideas from spin glass literature to identify functional differences between five real biological networks and random networks with similar topological features. We show that minimal frustration is a fundamental property that allows biological networks to robustly establish cell types and regulate cell fate choice, and this property can emerge in complex networks via Darwinian evolution. The study also provides clues regarding how the regulation of cell fate choice can go awry in a disease like cancer and lead to the emergence of aberrant cell types.
Abstract: 生物网络与随机网络之间的差异的表征可以揭示使关键生物功能的稳健实现成为可能的设计原理,包括不同细胞类型的建立。 然而,以往的研究集中在识别在生物网络中存在而在随机网络中不存在的拓扑特征,但提供的功能见解很少。 我们使用布尔建模框架和自旋玻璃文献中的思想,来识别五个真实生物网络与具有相似拓扑特征的随机网络之间的功能差异。 我们表明,最小挫折是生物网络能够稳健地建立细胞类型并调节细胞命运选择的基本特性,并且这一特性可以通过达尔文进化在复杂网络中出现。 该研究还提供了关于细胞命运选择的调控如何在癌症等疾病中出错并导致异常细胞类型出现的线索。
Comments: 5 pages, 4 figures
Subjects: Molecular Networks (q-bio.MN)
Cite as: arXiv:1911.10252 [q-bio.MN]
  (or arXiv:1911.10252v1 [q-bio.MN] for this version)
  https://doi.org/10.48550/arXiv.1911.10252
arXiv-issued DOI via DataCite
Journal reference: Phys. Rev. Lett. 125, 088101 (2020)
Related DOI: https://doi.org/10.1103/PhysRevLett.125.088101
DOI(s) linking to related resources

Submission history

From: Shubham Tripathi [view email]
[v1] Fri, 22 Nov 2019 21:16:00 UTC (3,468 KB)
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