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CrY2H-seq:一种用于深度覆盖相互作用组图谱绘制的大规模多重检测方法。

CrY2H-seq: a massively multiplexed assay for deep-coverage interactome mapping.

作者信息

Wanamaker Shelly A, Garza Renee M, MacWilliams Andrew, Nery Joseph R, Bartlett Anna, Castanon Rosa, Goubil Adeline, Feeney Joseph, O'Malley Ronan, Huang Shao-Shan C, Zhang Zhuzhu Z, Galli Mary, Ecker Joseph R

机构信息

Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, California, USA.

Division of Biological Sciences, University of California, San Diego, La Jolla, California, USA.

出版信息

Nat Methods. 2017 Aug;14(8):819-825. doi: 10.1038/nmeth.4343. Epub 2017 Jun 26.

Abstract

Broad-scale protein-protein interaction mapping is a major challenge given the cost, time, and sensitivity constraints of existing technologies. Here, we present a massively multiplexed yeast two-hybrid method, CrY2H-seq, which uses a Cre recombinase interaction reporter to intracellularly fuse the coding sequences of two interacting proteins and next-generation DNA sequencing to identify these interactions en masse. We applied CrY2H-seq to investigate sparsely annotated Arabidopsis thaliana transcription factors interactions. By performing ten independent screens testing a total of 36 million binary interaction combinations, and uncovering a network of 8,577 interactions among 1,453 transcription factors, we demonstrate CrY2H-seq's improved screening capacity, efficiency, and sensitivity over those of existing technologies. The deep-coverage network resource we call AtTFIN-1 recapitulates one-third of previously reported interactions derived from diverse methods, expands the number of known plant transcription factor interactions by three-fold, and reveals previously unknown family-specific interaction module associations with plant reproductive development, root architecture, and circadian coordination.

摘要

鉴于现有技术在成本、时间和灵敏度方面的限制,大规模蛋白质 - 蛋白质相互作用图谱绘制是一项重大挑战。在此,我们提出了一种大规模多重酵母双杂交方法,即CrY2H-seq,该方法使用Cre重组酶相互作用报告基因在细胞内融合两个相互作用蛋白质的编码序列,并利用下一代DNA测序技术大规模鉴定这些相互作用。我们应用CrY2H-seq来研究注释较少的拟南芥转录因子相互作用。通过进行十次独立筛选,测试总共3600万个二元相互作用组合,并揭示了1453个转录因子之间的8577个相互作用网络,我们证明了CrY2H-seq相对于现有技术在筛选能力、效率和灵敏度方面的提升。我们称之为AtTFIN-1的深度覆盖网络资源概括了先前通过多种方法报道的三分之一的相互作用,将已知植物转录因子相互作用的数量扩大了三倍,并揭示了与植物生殖发育、根系结构和昼夜节律协调相关的先前未知的家族特异性相互作用模块关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c47/5564216/db35ddbf6b2c/nihms881986f1.jpg

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