Deconvolution of in vivo protein-RNA contacts using fractionated eCLIP-seq.
Deconvolution of in vivo protein-RNA contacts using fractionated eCLIP-seq.
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DOI:
10.1016/j.xpro.2022.101823
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发表时间:
2022-12-16
期刊:
影响因子:
--
通讯作者:
Tebaldi, Toma
中科院分区:
文献类型:
--
作者:
Biancon, Giulia;Busarello, Emma;Joshi, Poorval;Lesch, Bluma J.;Halene, Stephanie;Tebaldi, Toma
Thousands of RNA-binding proteins orchestrate RNA processing and altered protein-RNA interactions frequently lead to disease. Here, we present experimental and computational analysis pipelines of fractionated eCLIP-seq (freCLIP-seq), a modification of enhanced UV-crosslinking and RNA immunoprecipitation followed by sequencing. FreCLIP-seq allows transcriptome-wide analysis of protein-RNA interactions at single-nucleotide level and provides an additional level of resolution by isolating binding signals of individual RNA-binding proteins within a multicomponent complex. Binding occupancy can be inferred from read counts and crosslinking events. For complete details on the use and execution of this protocol, please refer to. Generation of crosslinked cell pellets and immunoprecipitation Isolation of distinct RBP-RNA contacts within a complex by membrane size fractionation Identification of binding peaks by a transcriptome-wide or region-specific approach Annotation and differential analysis of binding occupancies Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. Thousands of RNA-binding proteins orchestrate RNA processing and altered protein-RNA interactions frequently lead to disease. Here, we present experimental and computational analysis pipelines of fractionated eCLIP-seq (freCLIP-seq), a modification of enhanced UV-crosslinking and RNA immunoprecipitation followed by sequencing. FreCLIP-seq allows transcriptome-wide analysis of protein-RNA interactions at single-nucleotide level and provides an additional level of resolution by isolating binding signals of individual RNA-binding proteins within a multicomponent complex. Binding occupancy can be inferred from read counts and crosslinking events.
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DOI:
10.1093/bioinformatics/btq033
发表时间:
2010-03-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Quinlan AR;Hall IM
通讯作者:
Hall IM
影响因子:
48
作者:
Van Nostrand EL;Pratt GA;Shishkin AA;Gelboin-Burkhart C;Fang MY;Sundararaman B;Blue SM;Nguyen TB;Surka C;Elkins K;Stanton R;Rigo F;Guttman M;Yeo GW
通讯作者:
Yeo GW
影响因子:
16
作者:
Biancon G;Joshi P;Zimmer JT;Hunck T;Gao Y;Lessard MD;Courchaine E;Barentine AES;Machyna M;Botti V;Qin A;Gbyli R;Patel A;Song Y;Kiefer L;Viero G;Neuenkirchen N;Lin H;Bewersdorf J;Simon MD;Neugebauer KM;Tebaldi T;Halene S
通讯作者:
Halene S
影响因子:
7
作者:
Griffin, Kimberly N.;Walters, Benjamin William;Li, Haixin;Wang, Huafeng;Biancon, Giulia;Tebaldi, Toma;Kaya, Carolyn B.;Kanyo, Jean;Lam, TuKiet T.;Cox, Andy L.;Halene, Stephanie;Chung, Jean-Ju;Lesch, Bluma J.
通讯作者:
Lesch, Bluma J.
影响因子:
4.8
作者:
Huppertz, Ina;Attig, Jan;D'Ambrogio, Andrea;Easton, Laura E.;Sibley, Christopher R.;Sugimoto, Yoichiro;Tajnik, Mojca;Koenig, Julian;Ule, Jernej
通讯作者:
Ule, Jernej