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定量扰动-表型图谱揭示了PAR依赖的不对称细胞分裂稳健性背后的非线性反应。

Quantitative perturbation-phenotype maps reveal nonlinear responses underlying robustness of PAR-dependent asymmetric cell division.

作者信息

Rodrigues Nelio T L, Bland Tom, Ng KangBo, Hirani Nisha, Goehring Nathan W

机构信息

The Francis Crick Institute, London, United Kingdom.

Institute for the Physics of Living Systems, University College London, London, United Kingdom.

出版信息

PLoS Biol. 2024 Dec 9;22(12):e3002437. doi: 10.1371/journal.pbio.3002437. eCollection 2024 Dec.

Abstract

A key challenge in the development of an organism is to maintain robust phenotypic outcomes in the face of perturbation. Yet, it is often unclear how such robust outcomes are encoded by developmental networks. Here, we use the Caenorhabditis elegans zygote as a model to understand sources of developmental robustness during PAR polarity-dependent asymmetric cell division. By quantitatively linking alterations in protein dosage to phenotype in individual embryos, we show that spatial information in the zygote is read out in a highly nonlinear fashion and, as a result, phenotypes are highly canalized against substantial variation in input signals. Our data point towards robustness of the conserved PAR polarity network that renders polarity axis specification resistant to variations in both the strength of upstream symmetry-breaking cues and PAR protein dosage. Analogously, downstream pathways involved in cell size and fate asymmetry are robust to dosage-dependent changes in the local concentrations of PAR proteins, implying nontrivial complexity in translating PAR concentration profiles into pathway outputs. We propose that these nonlinear signal-response dynamics between symmetry-breaking, PAR polarity, and asymmetric division modules effectively insulate each individual module from variation arising in others. This decoupling helps maintain the embryo along the correct developmental trajectory, thereby ensuring that asymmetric division is robust to perturbation. Such modular organization of developmental networks is likely to be a general mechanism to achieve robust developmental outcomes.

摘要

生物体发育过程中的一个关键挑战是在面对干扰时维持稳健的表型结果。然而,通常不清楚发育网络是如何编码这些稳健结果的。在这里,我们以秀丽隐杆线虫的受精卵为模型,来理解PAR极性依赖性不对称细胞分裂过程中发育稳健性的来源。通过定量地将蛋白质剂量的变化与单个胚胎的表型联系起来,我们表明受精卵中的空间信息以高度非线性的方式被读出,因此,表型对输入信号的显著变化具有高度的稳态化。我们的数据指向保守的PAR极性网络的稳健性,该网络使极性轴的指定对上游对称性破缺信号强度和PAR蛋白剂量的变化具有抗性。类似地,参与细胞大小和命运不对称的下游途径对PAR蛋白局部浓度的剂量依赖性变化具有稳健性,这意味着将PAR浓度分布转化为途径输出存在复杂的情况。我们提出,在对称性破缺、PAR极性和不对称分裂模块之间的这些非线性信号响应动力学有效地使每个单独的模块免受其他模块产生的变化的影响。这种解耦有助于使胚胎沿着正确的发育轨迹发展,从而确保不对称分裂对干扰具有稳健性。发育网络的这种模块化组织可能是实现稳健发育结果的一种普遍机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c7e/11627365/658587c50eac/pbio.3002437.g001.jpg

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