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1
Evolution of protein complexes by duplication of homomeric interactions.通过同聚体相互作用的复制实现蛋白质复合物的进化。
Genome Biol. 2007;8(4):R51. doi: 10.1186/gb-2007-8-4-r51.
2
Comparison of human protein-protein interaction maps.人类蛋白质-蛋白质相互作用图谱的比较。
Bioinformatics. 2007 Mar 1;23(5):605-11. doi: 10.1093/bioinformatics/btl683. Epub 2007 Jan 19.
3
An essential role for zebrafish Fgfrl1 during gill cartilage development.斑马鱼Fgfrl1在鳃软骨发育过程中的重要作用。
Mech Dev. 2006 Dec;123(12):925-40. doi: 10.1016/j.mod.2006.08.006. Epub 2006 Aug 24.
4
Molecular analysis of receptor protein tyrosine phosphatase mu-mediated cell adhesion.受体蛋白酪氨酸磷酸酶μ介导的细胞黏附的分子分析
EMBO J. 2006 Feb 22;25(4):701-12. doi: 10.1038/sj.emboj.7600974. Epub 2006 Feb 2.
5
Binding properties and evolution of homodimers in protein-protein interaction networks.蛋白质-蛋白质相互作用网络中同二聚体的结合特性与进化
Nucleic Acids Res. 2005 Jun 27;33(11):3629-35. doi: 10.1093/nar/gki678. Print 2005.
6
Multivalent recombinant proteins for probing functions of leucocyte surface proteins such as the CD200 receptor.用于探究白细胞表面蛋白(如CD200受体)功能的多价重组蛋白。
Immunology. 2005 Jul;115(3):337-46. doi: 10.1111/j.1365-2567.2005.02161.x.
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J Immunol. 2005 Jun 1;174(11):7033-42. doi: 10.4049/jimmunol.174.11.7033.
8
Analysis of leukocyte membrane protein interactions using protein microarrays.利用蛋白质微阵列分析白细胞膜蛋白相互作用
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A coreceptor interaction between the CD28 and TNF receptor family members B and T lymphocyte attenuator and herpesvirus entry mediator.CD28与肿瘤坏死因子受体家族成员B和T淋巴细胞衰减器以及疱疹病毒进入介质之间的共受体相互作用。
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新型低亲和力细胞外蛋白相互作用的大规模筛选。

Large-scale screening for novel low-affinity extracellular protein interactions.

作者信息

Bushell K Mark, Söllner Christian, Schuster-Boeckler Benjamin, Bateman Alex, Wright Gavin J

机构信息

Cell Surface Signalling Laboratory, Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1HH, United Kingdom.

出版信息

Genome Res. 2008 Apr;18(4):622-30. doi: 10.1101/gr.7187808. Epub 2008 Feb 22.

DOI:10.1101/gr.7187808
PMID:18296487
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2279249/
Abstract

Extracellular protein-protein interactions are essential for both intercellular communication and cohesion within multicellular organisms. Approximately a fifth of human genes encode membrane-tethered or secreted proteins, but they are largely absent from recent large-scale protein interaction datasets, making current interaction networks biased and incomplete. This discrepancy is due to the unsuitability of popular high-throughput methods to detect extracellular interactions because of the biochemical intractability of membrane proteins and their interactions. For example, cell surface proteins contain insoluble hydrophobic transmembrane regions, and their extracellular interactions are often highly transient, having half-lives of less than a second. To detect transient extracellular interactions on a large scale, we developed AVEXIS (avidity-based extracellular interaction screen), a high-throughput assay that overcomes these technical issues and can detect very transient interactions (half-lives <or= 0.1 sec) with a low false-positive rate. We used it to systematically screen for receptor-ligand pairs within the zebrafish immunoglobulin superfamily and identified novel ligands for both well-known and orphan receptors. Genes encoding receptor-ligand pairs were often clustered phylogenetically and expressed in the same or adjacent tissues, immediately implying their involvement in similar biological processes. Using AVEXIS, we have determined the first systematic low-affinity extracellular protein interaction network, supported by independent biological data. This technique will now allow large-scale extracellular protein interaction mapping in a broad range of experimental contexts.

摘要

细胞外蛋白质-蛋白质相互作用对于多细胞生物中的细胞间通讯和黏附至关重要。大约五分之一的人类基因编码膜 tethered 或分泌蛋白,但它们在最近的大规模蛋白质相互作用数据集中大多缺失,使得当前的相互作用网络存在偏差且不完整。这种差异是由于流行的高通量方法不适用于检测细胞外相互作用,因为膜蛋白及其相互作用在生化上难以处理。例如,细胞表面蛋白包含不溶性疏水跨膜区域,并且它们的细胞外相互作用通常高度短暂,半衰期小于一秒。为了大规模检测短暂的细胞外相互作用,我们开发了 AVEXIS(基于亲和力的细胞外相互作用筛选),这是一种高通量测定方法,克服了这些技术问题,并且能够以低假阳性率检测非常短暂的相互作用(半衰期≤0.1 秒)。我们用它来系统地筛选斑马鱼免疫球蛋白超家族中的受体-配体对,并为知名和孤儿受体鉴定了新的配体。编码受体-配体对的基因通常在系统发育上聚集,并在相同或相邻组织中表达,这立即暗示它们参与相似的生物学过程。使用 AVEXIS,我们已经确定了第一个由独立生物学数据支持的系统低亲和力细胞外蛋白质相互作用网络。这项技术现在将允许在广泛的实验背景下进行大规模细胞外蛋白质相互作用图谱绘制。