Multiomic analysis of microRNA-mediated regulation reveals a proliferative axis involving miR-10b in fibrolamellar carcinoma.
Multiomic analysis of microRNA-mediated regulation reveals a proliferative axis involving miR-10b in fibrolamellar carcinoma.
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DOI:
10.1172/jci.insight.154743
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发表时间:
2022-06-08
期刊:
影响因子:
8
通讯作者:
Sethupathy, Praveen
中科院分区:
文献类型:
--
作者:
Francisco, Adam B.;Kanke, Matt;Massa, Andrew P.;Dinh, Timothy A.;Sritharan, Ramja;Vakili, Khashayar;Bardeesy, Nabeel;Sethupathy, Praveen
Fibrolamellar carcinoma (FLC) is an aggressive liver cancer primarily afflicting adolescents and young adults. Most patients with FLC harbor a heterozygous deletion on chromosome 19 that leads to the oncogenic gene fusion, DNAJB1-PRKACA. There are currently no effective therapeutics for FLC. To address that, it is critical to gain deeper mechanistic insight into FLC pathogenesis. We assembled a large sample set of FLC and nonmalignant liver tissue (n = 52) and performed integrative multiomic analysis. Specifically, we carried out small RNA sequencing to define altered microRNA expression patterns in tumor samples and then coupled this analysis with RNA sequencing and chromatin run-on sequencing data to identify candidate master microRNA regulators of gene expression in FLC. We also evaluated the relationship between DNAJB1-PRKACA and microRNAs of interest in several human and mouse cell models. Finally, we performed loss-of-function experiments for a specific microRNA in cells established from a patient-derived xenograft (PDX) model. We identified miR-10b-5p as the top candidate pro-proliferative microRNA in FLC. In multiple human cell models, overexpression of DNAJB1-PRKACA led to significant upregulation of miR-10b-5p. Inhibition of miR-10b in PDX-derived cells increased the expression of several potentially novel target genes, concomitant with a significant reduction in metabolic activity, proliferation, and anchorage-independent growth. This study highlights a potentially novel proliferative axis in FLC and provides a rich resource for further investigation of FLC etiology.
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DOI:
10.1093/bioinformatics/btr064
发表时间:
2011-04-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Grant CE;Bailey TL;Noble WS
通讯作者:
Noble WS
影响因子:
4.6
作者:
Dinh TA;Vitucci EC;Wauthier E;Graham RP;Pitman WA;Oikawa T;Chen M;Silva GO;Greene KG;Torbenson MS;Reid LM;Sethupathy P
通讯作者:
Sethupathy P
影响因子:
29.4
作者:
Hu T;Shukla SK;Vernucci E;He C;Wang D;King RJ;Jha K;Siddhanta K;Mullen NJ;Attri KS;Murthy D;Chaika NV;Thakur R;Mulder SE;Pacheco CG;Fu X;High RR;Yu F;Lazenby A;Steegborn C;Lan P;Mehla K;Rotili D;Chaudhary S;Valente S;Tafani M;Mai A;Auwerx J;Verdin E;Tuveson D;Singh PK
通讯作者:
Singh PK
影响因子:
11.4
作者:
Hirano, S;Yamamoto, K;Takata, M
通讯作者:
Takata, M
影响因子:
5.2
作者:
Abba, Mohammed;Patil, Nitin;Allgayer, Heike
通讯作者:
Allgayer, Heike