生物
乳腺癌
祖细胞
氧化磷酸化
癌细胞
转录组
糖酵解
细胞生物学
谱系(遗传)
干细胞
癌症研究
癌症
细胞
遗传学
新陈代谢
基因
内分泌学
生物化学
基因表达
作者
Mathepan Mahendralingam,Hye‐Yeon Kim,Curtis W. McCloskey,Kazeera Aliar,Alison E. Casey,Pirashaanthy Tharmapalan,Davide Pellacani,Vladimir Ignatchenko,Mar García-Valero,Luís Palomero,Ankit Sinha,Jennifer Cruickshank,Ronak Shetty,Ravi N. Vellanki,Marianne Koritzinsky,Vid Stambolic,Mina Alam,Aaron D. Schimmer,Hal K. Berman,Connie J. Eaves,Miguel Ángel Pujana,Thomas Kislinger,Rama Khokha
标识
DOI:10.1038/s42255-021-00388-6
摘要
Cancer metabolism adapts the metabolic network of its tissue of origin. However, breast cancer is not a disease of a single origin. Multiple epithelial populations serve as the culprit cell of origin for specific breast cancer subtypes, yet our knowledge of the metabolic network of normal mammary epithelial cells is limited. Using a multi-omic approach, here we identify the diverse metabolic programmes operating in normal mammary populations. The proteomes of basal, luminal progenitor and mature luminal cell populations revealed enrichment of glycolysis in basal cells and of oxidative phosphorylation in luminal progenitors. Single-cell transcriptomes corroborated lineage-specific metabolic identities and additional intra-lineage heterogeneity. Mitochondrial form and function differed across lineages, with clonogenicity correlating with mitochondrial activity. Targeting oxidative phosphorylation and glycolysis with inhibitors exposed lineage-rooted metabolic vulnerabilities of mammary progenitors. Bioinformatics indicated breast cancer subtypes retain metabolic features of their putative cell of origin. Thus, lineage-rooted metabolic identities of normal mammary cells may underlie breast cancer metabolic heterogeneity and targeting these vulnerabilities could advance breast cancer therapy.
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