Engineered MED12 mutations drive leiomyoma-like transcriptional and metabolic programs by altering the 3D genome compartmentalization.
Engineered MED12 mutations drive leiomyoma-like transcriptional and metabolic programs by altering the 3D genome compartmentalization.
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工程化的 MED12 突变通过改变 3D 基因组区室化来驱动类似平滑肌瘤的转录和代谢程序。
DOI:
10.1038/s41467-023-39684-y
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发表时间:
2023-07-10
影响因子:
16.6
通讯作者:
Adli, Mazhar
中科院分区:
文献类型:
--
作者:
Buyukcelebi, Kadir;Chen, Xintong;Abdula, Fatih;Elkafas, Hoda;Duval, Alexander James;Ozturk, Harun;Seker-Polat, Fidan;Jin, Qiushi;Yin, Ping;Feng, Yue;Bulun, Serdar E.;Wei, Jian Jun;Yue, Feng;Adli, Mazhar
Nearly 70% of Uterine fibroid (UF) tumors are driven by recurrent MED12 hotspot mutations. Unfortunately, no cellular models could be generated because the mutant cells have lower fitness in 2D culture conditions. To address this, we employ CRISPR to precisely engineer MED12 Gly44 mutations in UF-relevant myometrial smooth muscle cells. The engineered mutant cells recapitulate several UF-like cellular, transcriptional, and metabolic alterations, including altered Tryptophan/kynurenine metabolism. The aberrant gene expression program in the mutant cells is, in part, driven by a substantial 3D genome compartmentalization switch. At the cellular level, the mutant cells gain enhanced proliferation rates in 3D spheres and form larger lesions in vivo with elevated production of collagen and extracellular matrix deposition. These findings indicate that the engineered cellular model faithfully models key features of UF tumors and provides a platform for the broader scientific community to characterize genomics of recurrent MED12 mutations. There are currently a lack of genetic models to study the biology of Uterine fibroids (UFs) tumours. Here the authors precisely engineer cells with mutant MED12 Gly-44 and generate myometrial smooth muscle cells (SMCs) that recapitulate major UFs-like cellular, transcriptional, and metabolic alterations.
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影响因子:
14.9
作者:
Brinkman, Eva K.;Kousholt, Arne N.;van Steensel, Bas
通讯作者:
van Steensel, Bas
影响因子:
4.6
作者:
Bankhead P;Loughrey MB;Fernández JA;Dombrowski Y;McArt DG;Dunne PD;McQuaid S;Gray RT;Murray LJ;Coleman HG;James JA;Salto-Tellez M;Hamilton PW
通讯作者:
Hamilton PW
影响因子:
64.5
作者:
El Khattabi L;Zhao H;Kalchschmidt J;Young N;Jung S;Van Blerkom P;Kieffer-Kwon P;Kieffer-Kwon KR;Park S;Wang X;Krebs J;Tripathi S;Sakabe N;Sobreira DR;Huang SC;Rao SSP;Pruett N;Chauss D;Sadler E;Lopez A;Nóbrega MA;Aiden EL;Asturias FJ;Casellas R
通讯作者:
Casellas R
影响因子:
64.8
作者:
Heintzman, Nathaniel D.;Hon, Gary C.;Hawkins, R. David;Kheradpour, Pouya;Stark, Alexander;Harp, Lindsey F.;Ye, Zhen;Lee, Leonard K.;Stuart, Rhona K.;Ching, Christina W.;Ching, Keith A.;Antosiewicz-Bourget, Jessica E.;Liu, Hui;Zhang, Xinmin;Green, Roland D.;Lobanenkov, Victor V.;Stewart, Ron;Thomson, James A.;Crawford, Gregory E.;Kellis, Manolis;Ren, Bing
通讯作者:
Ren, Bing
影响因子:
64.5
作者:
Dekker J;Mirny L
通讯作者:
Mirny L