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条形码融合遗传学-蛋白质片段互补分析(BFG-PCA):拓展二元蛋白质相互作用发现潜力的工具与资源。

Barcode fusion genetics-protein-fragment complementation assay (BFG-PCA): tools and resources that expand the potential for binary protein interaction discovery.

作者信息

Evans-Yamamoto Daniel, Rouleau François D, Nanda Piyush, Makanae Koji, Liu Yin, Després Philippe C, Matsuo Hitoshi, Seki Motoaki, Dubé Alexandre K, Ascencio Diana, Yachie Nozomu, Landry Christian R

机构信息

Institut de Biologie Intégrative et des Systèmes, Université Laval, Québec, QC, G1V 0A6, Canada.

Synthetic Biology Division, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, 153-8904, Japan.

出版信息

Nucleic Acids Res. 2022 May 20;50(9):e54. doi: 10.1093/nar/gkac045.

DOI:10.1093/nar/gkac045
PMID:35137167
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9122585/
Abstract

Barcode fusion genetics (BFG) utilizes deep sequencing to improve the throughput of protein-protein interaction (PPI) screening in pools. BFG has been implemented in Yeast two-hybrid (Y2H) screens (BFG-Y2H). While Y2H requires test protein pairs to localize in the nucleus for reporter reconstruction, dihydrofolate reductase protein-fragment complementation assay (DHFR-PCA) allows proteins to localize in broader subcellular contexts and proves to be largely orthogonal to Y2H. Here, we implemented BFG to DHFR-PCA (BFG-PCA). This plasmid-based system can leverage ORF collections across model organisms to perform comparative analysis, unlike the original DHFR-PCA that requires yeast genomic integration. The scalability and quality of BFG-PCA were demonstrated by screening human and yeast interactions for >11 000 bait-prey pairs. BFG-PCA showed high-sensitivity and high-specificity for capturing known interactions for both species. BFG-Y2H and BFG-PCA capture distinct sets of PPIs, which can partially be explained based on the domain orientation of the reporter tags. BFG-PCA is a high-throughput protein interaction technology to interrogate binary PPIs that exploits clone collections from any species of interest, expanding the scope of PPI assays.

摘要

条形码融合遗传学(BFG)利用深度测序提高在混合样本中蛋白质-蛋白质相互作用(PPI)筛选的通量。BFG已应用于酵母双杂交(Y2H)筛选(BFG-Y2H)。虽然Y2H要求测试蛋白对定位于细胞核以进行报告基因重建,但二氢叶酸还原酶蛋白片段互补分析(DHFR-PCA)允许蛋白质在更广泛的亚细胞环境中定位,并且已证明在很大程度上与Y2H正交。在此,我们将BFG应用于DHFR-PCA(BFG-PCA)。与需要酵母基因组整合的原始DHFR-PCA不同,这个基于质粒的系统可以利用跨模式生物的开放阅读框(ORF)文库进行比较分析。通过筛选超过11000对诱饵-猎物对的人类和酵母相互作用,证明了BFG-PCA的可扩展性和质量。BFG-PCA在捕获两个物种的已知相互作用方面表现出高灵敏度和高特异性。BFG-Y2H和BFG-PCA捕获不同的PPI集,这可以部分基于报告标签的结构域方向来解释。BFG-PCA是一种用于研究二元PPI 的高通量蛋白质相互作用技术,它利用来自任何感兴趣物种的克隆文库,扩大了PPI检测的范围。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7206/9122585/5c6a1e0ff42e/gkac045fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7206/9122585/bc1a4197304c/gkac045fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7206/9122585/dd8f22cd5f0d/gkac045fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7206/9122585/70cfccf0a5d1/gkac045fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7206/9122585/0f63957a7e57/gkac045fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7206/9122585/e2ef4eddce0c/gkac045fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7206/9122585/5c6a1e0ff42e/gkac045fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7206/9122585/bc1a4197304c/gkac045fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7206/9122585/dd8f22cd5f0d/gkac045fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7206/9122585/70cfccf0a5d1/gkac045fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7206/9122585/0f63957a7e57/gkac045fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7206/9122585/e2ef4eddce0c/gkac045fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7206/9122585/5c6a1e0ff42e/gkac045fig6.jpg

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