Identification of a pan-cancer oncogenic microRNA superfamily anchored by a central core seed motif.
Identification of a pan-cancer oncogenic microRNA superfamily anchored by a central core seed motif.
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DOI:
10.1038/ncomms3730
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发表时间:
2013
影响因子:
16.6
通讯作者:
McGuire SE
中科院分区:
文献类型:
--
作者:
Hamilton MP;Rajapakshe K;Hartig SM;Reva B;McLellan MD;Kandoth C;Ding L;Zack TI;Gunaratne PH;Wheeler DA;Coarfa C;McGuire SE
MicroRNAs modulate tumorigenesis through suppression of specific genes. As many tumour types rely on overlapping oncogenic pathways, a core set of microRNAs may exist, which consistently drives or suppresses tumorigenesis in many cancer types. Here we integrate The Cancer Genome Atlas (TCGA) pan-cancer data set with a microRNA target atlas composed of publicly available Argonaute Crosslinking Immunoprecipitation (AGO-CLIP) data to identify pan-tumour microRNA drivers of cancer. Through this analysis, we show a pan-cancer, coregulated oncogenic microRNA ‘superfamily’ consisting of the miR-17, miR-19, miR-130, miR-93, miR-18, miR-455 and miR-210 seed families, which cotargets critical tumour suppressors via a central GUGC core motif. We subsequently define mutations in microRNA target sites using the AGO-CLIP microRNA target atlas and TCGA exome-sequencing data. These combined analyses identify pan-cancer oncogenic cotargeting of the phosphoinositide 3-kinase, TGFβ and p53 pathways by the miR-17-19-130 superfamily members. AGO-CLIP permits the identification of miRNA target genes. Here, Hamilton et al. compile publicly available AGO-CLIP data and combine this information with miRNA analysis from The Cancer Genome Atlas, permitting the identification of an oncogenic miRNA superfamily that targets tumour suppressor genes.
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影响因子:
8
作者:
Kim, K.;Chadalapaka, G.;Lee, S-O;Yamada, D.;Sastre-Garau, X.;Defossez, P-A;Park, Y-Y;Lee, J-S;Safe, S.
通讯作者:
Safe, S.
影响因子:
64.5
作者:
Hafner M;Landthaler M;Burger L;Khorshid M;Hausser J;Berninger P;Rothballer A;Ascano M Jr;Jungkamp AC;Munschauer M;Ulrich A;Wardle GS;Dewell S;Zavolan M;Tuschl T
通讯作者:
Tuschl T
影响因子:
14.9
作者:
Betel D;Wilson M;Gabow A;Marks DS;Sander C
通讯作者:
Sander C
影响因子:
64.5
作者:
Helwak A;Kudla G;Dudnakova T;Tollervey D
通讯作者:
Tollervey D
影响因子:
6.7
作者:
Haecker I;Gay LA;Yang Y;Hu J;Morse AM;McIntyre LM;Renne R
通讯作者:
Renne R