Max-Planck Institute of Biochemistry, Martinsried, Germany.
Drug Discovery Sciences, Boehringer Ingelheim Pharma, Biberach Riss, Germany.
Nature. 2023 Dec;624(7990):192-200. doi: 10.1038/s41586-023-06739-5. Epub 2023 Nov 15.
Cellular functions are mediated by protein-protein interactions, and mapping the interactome provides fundamental insights into biological systems. Affinity purification coupled to mass spectrometry is an ideal tool for such mapping, but it has been difficult to identify low copy number complexes, membrane complexes and complexes that are disrupted by protein tagging. As a result, our current knowledge of the interactome is far from complete, and assessing the reliability of reported interactions is challenging. Here we develop a sensitive high-throughput method using highly reproducible affinity enrichment coupled to mass spectrometry combined with a quantitative two-dimensional analysis strategy to comprehensively map the interactome of Saccharomyces cerevisiae. Thousand-fold reduced volumes in 96-well format enabled replicate analysis of the endogenous GFP-tagged library covering the entire expressed yeast proteome. The 4,159 pull-downs generated a highly structured network of 3,927 proteins connected by 31,004 interactions, doubling the number of proteins and tripling the number of reliable interactions compared with existing interactome maps. This includes very-low-abundance epigenetic complexes, organellar membrane complexes and non-taggable complexes inferred by abundance correlation. This nearly saturated interactome reveals that the vast majority of yeast proteins are highly connected, with an average of 16 interactors. Similar to social networks between humans, the average shortest distance between proteins is 4.2 interactions. AlphaFold-Multimer provided novel insights into the functional roles of previously uncharacterized proteins in complexes. Our web portal ( www.yeast-interactome.org ) enables extensive exploration of the interactome dataset.
细胞功能是由蛋白质-蛋白质相互作用介导的,绘制相互作用组图为深入了解生物系统提供了基础。亲和纯化结合质谱是进行这种映射的理想工具,但识别低拷贝数复合物、膜复合物和被蛋白质标记破坏的复合物一直具有挑战性。因此,我们目前对相互作用组的了解远不完整,评估报告的相互作用的可靠性具有挑战性。在这里,我们开发了一种灵敏的高通量方法,使用高度可重复的亲和富集结合质谱,并结合定量二维分析策略,全面绘制酿酒酵母相互作用组图。在 96 孔格式中,体积减少了千倍,可重复分析覆盖整个酵母表达蛋白组的内源性 GFP 标记文库。4159 个下拉物生成了一个高度结构化的网络,其中包含 3927 种蛋白质,通过 31004 种相互作用连接,与现有相互作用组图谱相比,蛋白质数量增加了一倍,可靠相互作用数量增加了两倍。这包括非常低丰度的表观遗传复合物、细胞器膜复合物和丰度相关性推断的不可标记复合物。这个几乎饱和的相互作用组表明,绝大多数酵母蛋白高度连接,平均有 16 个相互作用体。与人类之间的社交网络类似,蛋白质之间的平均最短距离为 4.2 个相互作用。AlphaFold-Multimer 为以前未表征的复合物中的蛋白质在功能作用方面提供了新的见解。我们的网络门户 (www.yeast-interactome.org) 使相互作用组数据集能够得到广泛的探索。