Model-based analysis uncovers mutations altering autophagy selectivity in human cancer.
Model-based analysis uncovers mutations altering autophagy selectivity in human cancer.
复制标题
基于模型的分析揭示了改变人类癌症自噬选择性的突变
DOI:
10.1038/s41467-021-23539-5
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发表时间:
2021-05-31
影响因子:
16.6
通讯作者:
Jia D
中科院分区:
文献类型:
--
作者:
Han Z;Zhang W;Ning W;Wang C;Deng W;Li Z;Shang Z;Shen X;Liu X;Baba O;Morita T;Chen L;Xue Y;Jia D
Autophagy can selectively target protein aggregates, pathogens, and dysfunctional organelles for the lysosomal degradation. Aberrant regulation of autophagy promotes tumorigenesis, while it is far less clear whether and how tumor-specific alterations result in autophagic aberrance. To form a link between aberrant autophagy selectivity and human cancer, we establish a computational pipeline and prioritize 222 potential LIR (LC3-interacting region) motif-associated mutations (LAMs) in 148 proteins. We validate LAMs in multiple proteins including ATG4B, STBD1, EHMT2 and BRAF that impair their interactions with LC3 and autophagy activities. Using a combination of transcriptomic, metabolomic and additional experimental assays, we show that STBD1, a poorly-characterized protein, inhibits tumor growth via modulating glycogen autophagy, while a patient-derived W203C mutation on LIR abolishes its cancer inhibitory function. This work suggests that altered autophagy selectivity is a frequently-used mechanism by cancer cells to survive during various stresses, and provides a framework to discover additional autophagy-related pathways that influence carcinogenesis. Although autophagy has been linked to tumourigenesis, it is unclear how genomic alterations affect autophagy selectivity in tumours. Here, the authors establish a pipeline that integrates computational and experimental approaches to show that altered autophagy selectivity is frequent in cancer cells and link glycogen autophagy with tumourigenesis.
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影响因子:
--
作者:
Das J;Yu H
通讯作者:
Yu H
影响因子:
64.8
作者:
通讯作者:
--
影响因子:
5.5
作者:
Jacomin AC;Gul L;Sudhakar P;Korcsmaros T;Nezis IP
通讯作者:
Nezis IP
影响因子:
14.9
作者:
The Gene Ontology Consortium
通讯作者:
The Gene Ontology Consortium
DOI:
10.1016/j.bbrc.2011.08.106
发表时间:
2011-09-30
影响因子:
3.1
作者:
Jiang, Sixin;Wells, Clark D.;Roach, Peter J.
通讯作者:
Roach, Peter J.