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基因调控网络图谱揭示了多种用于解释形态发生素梯度的三基因机制。

An atlas of gene regulatory networks reveals multiple three-gene mechanisms for interpreting morphogen gradients.

机构信息

EMBL-CRG Systems Biology Research Unit, Centre for Genomic Regulation (CRG), UPF, Barcelona, Spain.

出版信息

Mol Syst Biol. 2010 Nov 2;6:425. doi: 10.1038/msb.2010.74.

Abstract

The interpretation of morphogen gradients is a pivotal concept in developmental biology, and several mechanisms have been proposed to explain how gene regulatory networks (GRNs) achieve concentration-dependent responses. However, the number of different mechanisms that may exist for cells to interpret morphogens, and the importance of design features such as feedback or local cell-cell communication, is unclear. A complete understanding of such systems will require going beyond a case-by-case analysis of real morphogen interpretation mechanisms and mapping out a complete GRN 'design space.' Here, we generate a first atlas of design space for GRNs capable of patterning a homogeneous field of cells into discrete gene expression domains by interpreting a fixed morphogen gradient. We uncover multiple very distinct mechanisms distributed discretely across the atlas, thereby expanding the repertoire of morphogen interpretation network motifs. Analyzing this diverse collection of mechanisms also allows us to predict that local cell-cell communication will rarely be responsible for the basic dose-dependent response of morphogen interpretation networks.

摘要

形态发生梯度的解释是发育生物学中的一个关键概念,已经提出了几种机制来解释基因调控网络(GRN)如何实现浓度依赖性反应。然而,细胞解释形态发生素的可能存在的机制的数量,以及反馈或局部细胞间通信等设计特征的重要性尚不清楚。要全面了解此类系统,就需要超越对实际形态发生素解释机制的逐个案例分析,并绘制出完整的 GRN“设计空间”图。在这里,我们通过解释固定的形态发生梯度,为能够将同质细胞场模式化为离散基因表达域的 GRN 生成了第一个设计空间图谱。我们发现了多个分布在图谱中离散的非常不同的机制,从而扩展了形态发生素解释网络基元的范围。分析这一系列多样化的机制还使我们能够预测,局部细胞间通信很少会导致形态发生素解释网络的基本剂量依赖性反应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3294/3010108/80d07e273783/msb201074-f1.jpg

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