Coupling high-throughput mapping with proteomics analysis delineates cis-regulatory elements at high resolution.
Coupling high-throughput mapping with proteomics analysis delineates cis-regulatory elements at high resolution.
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DOI:
10.1093/nar/gkab890
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发表时间:
2022-01-11
影响因子:
14.9
通讯作者:
Li G
中科院分区:
文献类型:
--
作者:
Wu T;Jiang D;Zou M;Sun W;Wu D;Cui J;Huntress I;Peng X;Li G
Growing evidence suggests that functional cis-regulatory elements (cis-REs) not only exist in epigenetically marked but also in unmarked sites of the human genome. While it is already difficult to identify cis-REs in the epigenetically marked sites, interrogating cis-REs residing within the unmarked sites is even more challenging. Here, we report adapting Reel-seq, an in vitro high-throughput (HTP) technique, to fine-map cis-REs at high resolution over a large region of the human genome in a systematic and continuous manner. Using Reel-seq, as a proof-of-principle, we identified 408 candidate cis-REs by mapping a 58 kb core region on the aging-related CDKN2A/B locus that harbors p16INK4a. By coupling Reel-seq with FREP-MS, a proteomics analysis technique, we characterized two cis-REs, one in an epigenetically marked site and the other in an epigenetically unmarked site. These elements are shown to regulate the p16INK4a expression over an ∼100 kb distance by recruiting the poly(A) binding protein PABPC1 and the transcription factor FOXC2. Downregulation of either PABPC1 or FOXC2 in human endothelial cells (ECs) can induce the p16INK4a-dependent cellular senescence. Thus, we confirmed the utility of Reel-seq and FREP-MS analyses for the systematic identification of cis-REs at high resolution over a large region of the human genome.
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影响因子:
64.8
作者:
Baker DJ;Childs BG;Durik M;Wijers ME;Sieben CJ;Zhong J;Saltness RA;Jeganathan KB;Verzosa GC;Pezeshki A;Khazaie K;Miller JD;van Deursen JM
通讯作者:
van Deursen JM
影响因子:
30.8
作者:
Li G;Martínez-Bonet M;Wu D;Yang Y;Cui J;Nguyen HN;Cunin P;Levescot A;Bai M;Westra HJ;Okada Y;Brenner MB;Raychaudhuri S;Hendrickson EA;Maas RL;Nigrovic PA
通讯作者:
Nigrovic PA
影响因子:
48
作者:
Diao Y;Fang R;Li B;Meng Z;Yu J;Qiu Y;Lin KC;Huang H;Liu T;Marina RJ;Jung I;Shen Y;Guan KL;Ren B
通讯作者:
Ren B
影响因子:
30.8
作者:
Fulco, Charles P.;Nasser, Joseph;Engreitz, Jesse M.
通讯作者:
Engreitz, Jesse M.
影响因子:
7.8
作者:
Dang, Yao;An, Yongpan;Xie, Zhengwei
通讯作者:
Xie, Zhengwei