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基因表达调控对细胞外信号通路进化的影响。

The impact of gene expression regulation on evolution of extracellular signaling pathways.

机构信息

Medical Research Council Laboratory of Molecular Biology, Cambridge CB20QH, United Kingdom.

出版信息

Mol Cell Proteomics. 2010 Dec;9(12):2666-77. doi: 10.1074/mcp.M110.003020. Epub 2010 Oct 8.

Abstract

Extracellular protein interactions are crucial to the development of multicellular organisms because they initiate signaling pathways and enable cellular recognition cues. Despite their importance, extracellular protein interactions are often under-represented in large scale protein interaction data sets because most high throughput assays are not designed to detect low affinity extracellular interactions. Due to the lack of a comprehensive data set, the evolution of extracellular signaling pathways has remained largely a mystery. We investigated this question using a combined data set of physical pairwise interactions between zebrafish extracellular proteins, mainly from the immunoglobulin superfamily and leucine-rich repeat families, and their spatiotemporal expression profiles. We took advantage of known homology between proteins to estimate the relative rates of changes of four parameters after gene duplication, namely extracellular protein interaction, expression pattern, and the divergence of extracellular and intracellular protein sequences. We showed that change in expression profile is a major contributor to the evolution of signaling pathways followed by divergence in intracellular protein sequence, whereas extracellular sequence and interaction profiles were relatively more conserved. Rapidly evolving expression profiles will eventually drive other parameters to diverge more quickly because differentially expressed proteins get exposed to different environments and potential binding partners. This allows homologous extracellular receptors to attain specialized functions and become specific to tissues and/or developmental stages.

摘要

细胞外蛋白相互作用对于多细胞生物的发育至关重要,因为它们启动信号通路并使细胞识别线索成为可能。尽管它们很重要,但细胞外蛋白相互作用在大规模蛋白质相互作用数据集通常被低估,因为大多数高通量测定法不是为了检测低亲和力的细胞外相互作用而设计的。由于缺乏全面的数据集,细胞外信号通路的进化在很大程度上仍然是一个谜。我们使用来自斑马鱼细胞外蛋白的物理成对相互作用的组合数据集,主要来自免疫球蛋白超家族和富含亮氨酸重复家族及其时空表达谱,来研究这个问题。我们利用蛋白质之间的已知同源性来估计基因复制后四个参数的相对变化率,即细胞外蛋白相互作用、表达模式以及细胞外和细胞内蛋白序列的分歧。我们表明,表达谱的变化是信号通路进化的主要贡献者,其次是细胞内蛋白序列的分歧,而细胞外序列和相互作用谱则相对更保守。快速进化的表达谱最终将导致其他参数更快地分歧,因为差异表达的蛋白质会暴露在不同的环境和潜在的结合伴侣中。这使得同源的细胞外受体能够获得专门的功能,并对组织和/或发育阶段具有特异性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3ad/3101855/60d6f9a15041/zjw0011137630001.jpg

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