Characterizing Expression and Processing of Precursor and Mature Human tRNAs by Hydro-tRNAseq and PAR-CLIP.
Characterizing Expression and Processing of Precursor and Mature Human tRNAs by Hydro-tRNAseq and PAR-CLIP.
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通过 Hydro-tRNAseq 和 PAR-CLIP 表征前体和成熟人类 tRNA 的表达和加工。
DOI：
10.1016/j.celrep.2017.07.029
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发表时间：
2017-08-08
期刊：
影响因子：
8.8
通讯作者：
Tuschl T
中科院分区：
文献类型：
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作者：
Gogakos T;Brown M;Garzia A;Meyer C;Hafner M;Tuschl T
The participation of transfer RNAs (tRNAs) in fundamental aspects of biology and disease necessitates an accurate, experimentally confirmed annotation of tRNA genes, and curation of tRNA sequences. This has been challenging, because RNA secondary structure, nucleotide modifications and tRNA gene multiplicity, complicate sequencing and mapping efforts. To address these issues, we developed hydro-tRNAseq, a method based on partial alkaline RNA hydrolysis that generates fragments amenable for sequencing. To identify transcribed tRNA genes, we further complemented this approach with Photoactivatable Crosslinking and Immunoprecipitation (PAR-CLIP) of SSB/La, a conserved protein involved in pre-tRNA processing. Our results show that approximately half of all predicted tRNA genes are transcribed in human cells. We also report nucleotide modification sites, their order of introduction, and identify tRNA leaders, trailers and introns. By using complementary sequencing-based methodologies we present a human tRNA atlas, and determine expression levels of mature and processing intermediates of tRNAs in human cells. Gogakos et al. describe two complementary high-throughput techniques for characterization of human tRNAs. They combine hydro-tRNAseq and PAR-CLIP of SSB/La to curate and quantify mature tRNAs, annotation of pre-tRNAs, and report characteristics of POLR3 transcription. The study expands the resources and tools available for study of tRNAs.
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影响因子：
64.5
作者：
Karaca E;Weitzer S;Pehlivan D;Shiraishi H;Gogakos T;Hanada T;Jhangiani SN;Wiszniewski W;Withers M;Campbell IM;Erdin S;Isikay S;Franco LM;Gonzaga-Jauregui C;Gambin T;Gelowani V;Hunter JV;Yesil G;Koparir E;Yilmaz S;Brown M;Briskin D;Hafner M;Morozov P;Farazi TA;Bernreuther C;Glatzel M;Trattnig S;Friske J;Kronnerwetter C;Bainbridge MN;Gezdirici A;Seven M;Muzny DM;Boerwinkle E;Ozen M;Baylor Hopkins Center for Mendelian Genomics;Clausen T;Tuschl T;Yuksel A;Hess A;Gibbs RA;Martinez J;Penninger JM;Lupski JR
通讯作者：
Lupski JR
DOI：
10.1261/rna.056259.116
发表时间：
2016-09
期刊：
RNA (New York, N.Y.)
影响因子：
--
作者：
Arimbasseri AG;Iben J;Wei FY;Rijal K;Tomizawa K;Hafner M;Maraia RJ
通讯作者：
Maraia RJ
影响因子：
14.9
作者：
Torres AG;Piñeyro D;Rodríguez-Escribà M;Camacho N;Reina O;Saint-Léger A;Filonava L;Batlle E;Ribas de Pouplana L
通讯作者：
Ribas de Pouplana L
影响因子：
64.5
作者：
Gingold, Hila;Tehler, Disa;Pilpel, Yitzhak
通讯作者：
Pilpel, Yitzhak
影响因子：
16.8
作者：
通讯作者：
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