Systematic mapping of genetic interactions for de novo fatty acid synthesis identifies C12orf49 as a regulator of lipid metabolism.
Systematic mapping of genetic interactions for de novo fatty acid synthesis identifies C12orf49 as a regulator of lipid metabolism.
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脂肪酸从头合成的遗传相互作用的系统图谱确定了 C12orf49 是脂质代谢的调节剂。
DOI:
10.1038/s42255-020-0211-z
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发表时间:
2020-06
影响因子:
20.8
通讯作者:
Moffat J
中科院分区:
文献类型:
--
作者:
Aregger M;Lawson KA;Billmann M;Costanzo M;Tong AHY;Chan K;Rahman M;Brown KR;Ross C;Usaj M;Nedyalkova L;Sizova O;Habsid A;Pawling J;Lin ZY;Abdouni H;Wong CJ;Weiss A;Mero P;Dennis JW;Gingras AC;Myers CL;Andrews BJ;Boone C;Moffat J
The de novo synthesis of fatty acids has emerged as a therapeutic target for various diseases including cancer. Since cancer cells are intrinsically buffered to combat metabolic stress, it is important to understand how cells may adapt to loss of de novo fatty acid biosynthesis. Here we use pooled genome-wide CRISPR screens to systematically map genetic interactions (GIs) in human HAP1 cells carrying a loss-of-function mutation in FASN, whose product catalyzes the formation of long-chain fatty acids. FASN mutant cells show a strong dependence on lipid uptake that is reflected in negative GIs with genes involved in the LDL receptor pathway, vesicle trafficking, and protein glycosylation. Further support for these functional relationships is derived from additional GI screens in query cell lines deficient for other genes involved in lipid metabolism, including LDLR, SREBF1, SREBF2, ACACA. Our GI profiles also identify a potential role for the previously uncharacterized gene LUR1/C12orf49 in exogenous lipid uptake regulation through modulation of SREBF2 signalling in response to lipid starvation. Overall, our data highlight the genetic determinants underlying the cellular adaptation associated with loss of de novo fatty acid synthesis and demonstrate the power of systematic GI mapping for uncovering metabolic buffering mechanisms in human cells.
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影响因子:
64.8
作者:
Birsoy, Kivanc;Possemato, Richard;Lorbeer, Franziska K.;Bayraktar, Erol C.;Thiru, Prathapan;Yucel, Burcu;Wang, Tim;Chen, Walter W.;Clish, Clary B.;Sabatini, David M.
通讯作者:
Sabatini, David M.
影响因子:
12.3
作者:
Dalgleish, Raymond;Flicek, Paul;Maglott, Donna R.
通讯作者:
Maglott, Donna R.
影响因子:
9.3
作者:
Billmann M;Chaudhary V;ElMaghraby MF;Fischer B;Boutros M
通讯作者:
Boutros M
影响因子:
5.9
作者:
Chen, Rain R.;Yung, Mingo M. H.;Chan, David W.
通讯作者:
Chan, David W.
影响因子:
46.9
作者:
Branon TC;Bosch JA;Sanchez AD;Udeshi ND;Svinkina T;Carr SA;Feldman JL;Perrimon N;Ting AY
通讯作者:
Ting AY