Cell type-specific novel long non-coding RNA and circular RNA in the BLUEPRINT hematopoietic transcriptomes atlas.
Cell type-specific novel long non-coding RNA and circular RNA in the BLUEPRINT hematopoietic transcriptomes atlas.
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BLUEPRINT造血转录组图谱中的细胞类型特异性新型长非编码RNA和环状RNA。
DOI:
10.3324/haematol.2019.238147
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发表时间:
2021-10-01
期刊:
影响因子:
10.1
通讯作者:
Frontini M
中科院分区:
文献类型:
--
作者:
Grassi L;Izuogu OG;Jorge NAN;Seyres D;Bustamante M;Burden F;Farrow S;Farahi N;Martin FJ;Frankish A;Mudge JM;Kostadima M;Petersen R;Lambourne JJ;Rowlston S;Martin-Rendon E;Clarke L;Downes K;Estivill X;Flicek P;Martens JHA;Yaspo ML;Stunnenberg HG;Ouwehand WH;Passetti F;Turro E;Frontini M
Transcriptional profiling of hematopoietic cell subpopulations has helped to characterize the developmental stages of the hematopoietic system and the molecular bases of malignant and non-malignant blood diseases. Previously, only the genes targeted by expression microarrays could be profiled genome-wide. High-throughput RNA sequencing, however, encompasses a broader repertoire of RNA molecules, without restriction to previously annotated genes. We analyzed the BLUEPRINT consortium RNA-sequencing data for mature hematopoietic cell types. The data comprised 90 total RNA-sequencing samples, each composed of one of 27 cell types, and 32 small RNA-sequencing samples, each composed of one of 11 cell types. We estimated gene and isoform expression levels for each cell type using existing annotations from Ensembl. We then used guided transcriptome assembly to discover unannotated transcripts. We identified hundreds of novel non-coding RNA genes and showed that the majority have cell type-dependent expression. We also characterized the expression of circular RNA and found that these are also cell type-specific. These analyses refine the active transcriptional landscape of mature hematopoietic cells, highlight abundant genes and transcriptional isoforms for each blood cell type, and provide a valuable resource for researchers of hematologic development and diseases. Finally, we made the data accessible via a web-based interface: https://blueprint.haem.cam.ac.uk/bloodatlas/.
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影响因子:
30.5
作者:
Laurenti E;Doulatov S;Zandi S;Plumb I;Chen J;April C;Fan JB;Dick JE
通讯作者:
Dick JE
影响因子:
7
作者:
Harrow J;Frankish A;Gonzalez JM;Tapanari E;Diekhans M;Kokocinski F;Aken BL;Barrell D;Zadissa A;Searle S;Barnes I;Bignell A;Boychenko V;Hunt T;Kay M;Mukherjee G;Rajan J;Despacio-Reyes G;Saunders G;Steward C;Harte R;Lin M;Howald C;Tanzer A;Derrien T;Chrast J;Walters N;Balasubramanian S;Pei B;Tress M;Rodriguez JM;Ezkurdia I;van Baren J;Brent M;Haussler D;Kellis M;Valencia A;Reymond A;Gerstein M;Guigó R;Hubbard TJ
通讯作者:
Hubbard TJ
影响因子:
56.9
作者:
Cheng, J;Kapranov, P;Gingeras, TR
通讯作者:
Gingeras, TR
DOI:
10.1126/science.1251033
发表时间:
2014-09-26
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Chen L;Kostadima M;Martens JHA;Canu G;Garcia SP;Turro E;Downes K;Macaulay IC;Bielczyk-Maczynska E;Coe S;Farrow S;Poudel P;Burden F;Jansen SBG;Astle WJ;Attwood A;Bariana T;de Bono B;Breschi A;Chambers JC;Consortium B;Choudry FA;Clarke L;Coupland P;van der Ent M;Erber WN;Jansen JH;Favier R;Fenech ME;Foad N;Freson K;van Geet C;Gomez K;Guigo R;Hampshire D;Kelly AM;Kerstens HHD;Kooner JS;Laffan M;Lentaigne C;Labalette C;Martin T;Meacham S;Mumford A;Nürnberg S;Palumbo E;van der Reijden BA;Richardson D;Sammut SJ;Slodkowicz G;Tamuri AU;Vasquez L;Voss K;Watt S;Westbury S;Flicek P;Loos R;Goldman N;Bertone P;Read RJ;Richardson S;Cvejic A;Soranzo N;Ouwehand WH;Stunnenberg HG;Frontini M;Rendon A
通讯作者:
Rendon A
影响因子:
23.9
作者:
Flynn, Ryan A.;Chang, Howard Y.
通讯作者:
Chang, Howard Y.