Revealing protein-protein interactions at the transcriptome scale by sequencing.
Revealing protein-protein interactions at the transcriptome scale by sequencing.
复制标题
DOI：
10.1016/j.molcel.2021.07.006
复制
发表时间：
2021-10-07
期刊：
影响因子：
16
通讯作者：
Zhong S
中科院分区：
文献类型：
--
作者：
Johnson KL;Qi Z;Yan Z;Wen X;Nguyen TC;Zaleta-Rivera K;Chen CJ;Fan X;Sriram K;Wan X;Chen ZB;Zhong S
We describe PROPER-seq (protein-protein interaction sequencing) to map protein-protein interactions (PPI) en masse. PROPER-seq first converts transcriptomes of input cells into RNA-barcoded protein libraries, in which all interacting protein pairs are captured through nucleotide barcode ligation, recorded as chimeric DNA sequences, and decoded at once by sequencing and mapping. We applied PROPER-seq to human embryonic kidney cells, T lymphocytes, and endothelial cells and identified 210,518 human PPIs (collected in PROPER v.1.0 database). Among these, 1,365 and 2,480 PPIs are supported by published co-IP and AP-MS data, 17,638 predicted by prePPI algorithm but without previous experimental validation, and 100 overlapping with human synthetic lethal gene pairs. Additionally, four previously uncharacterized interaction partners with PARP1 (a critical protein in DNA repair), including XPO1, MATR3, IPO5, and LEO1 are validated in vivo. PROPER-seq presents a time-effective technology to map PPIs at the transcriptome scale and PROPER v.1.0 provides a rich resource for studying PPI. Johnson et al. introduce PROPER-seq for large-scale and time-effective mapping of protein-protein interactions (PPI) in various cell types based on DNA sequencing. Collected in PROPER v.1.0, PROPER-seq adds more than 200,000 previously uncharacterized PPIs to the reference human protein interactome and provide experimental support to more than 17,000 computationally predicted human PPIs.
登录
查看更多内容
影响因子：
64.5
作者：
Fornerod, M;Ohno, M;Mattaj, IW
通讯作者：
Mattaj, IW
影响因子：
3.7
作者：
Kawalia A;Motameny S;Wonczak S;Thiele H;Nieroda L;Jabbari K;Borowski S;Sinha V;Gunia W;Lang U;Achter V;Nürnberg P
通讯作者：
Nürnberg P
DOI：
10.1111/j.2517-6161.1995.tb02031.x
发表时间：
1995-01-01
影响因子：
5.8
作者：
BENJAMINI, Y;HOCHBERG, Y
通讯作者：
HOCHBERG, Y
DOI：
10.1093/database/baz005
发表时间：
2019-01-31
影响因子：
5.8
作者：
Alonso-Lopez, Diego;Campos-Laborie, Francisco J.;De Las Rivas, Javier
通讯作者：
De Las Rivas, Javier
影响因子：
14.9
作者：
Alonso-López D;Gutiérrez MA;Lopes KP;Prieto C;Santamaría R;De Las Rivas J
通讯作者：
De Las Rivas J