Literature DB >> 30463022

Single-Cell Transcriptome Analysis Reveals Estrogen Signaling Coordinately Augments One-Carbon, Polyamine, and Purine Synthesis in Breast Cancer.

Detu Zhu1, Zuxianglan Zhao1, Guimei Cui1, Shiehong Chang1, Lingling Hu1, Yi Xiang See1, Michelle Gek Liang Lim2, Dajiang Guo1, Xin Chen1, Barun Poudel1, Paul Robson2, Yumei Luo3, Edwin Cheung4.   

Abstract

Estrogen drives breast cancer (BCa) progression by directly activating estrogen receptor α (ERα). However, because of the stochastic nature of gene transcription, it is important to study the estrogen signaling pathway at the single-cell level to fully understand how ERα regulates transcription. Here, we performed single-cell transcriptome analysis on ERα-positive BCa cells following 17β-estradiol stimulation and reconstructed the dynamic estrogen-responsive transcriptional network from discrete time points into a pseudotemporal continuum. Notably, differentially expressed genes show an estrogen-stimulated metabolic switch that favors biosynthesis but reduces estrogen degradation. Moreover, folate-mediated one-carbon metabolism is reprogrammed through the mitochondrial folate pathway and polyamine and purine synthesis are upregulated coordinately. Finally, we show AZIN1 and PPAT are direct ERα targets that are essential for BCa cell survival and growth. In summary, our study highlights the dynamic transcriptional heterogeneity in ERα-positive BCa cells upon estrogen stimulation and uncovers a mechanism of estrogen-mediated metabolic switch.
Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  breast cancer; estrogen receptor α; metabolic switch; single-cell RNA sequencing

Mesh:

Substances:

Year:  2018        PMID: 30463022     DOI: 10.1016/j.celrep.2018.10.093

Source DB:  PubMed          Journal:  Cell Rep            Impact factor:   9.423


  18 in total

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Authors:  Fabio Stossi; Radhika D Dandekar; Maureen G Mancini; Guowei Gu; Suzanne A W Fuqua; Agostina Nardone; Carmine De Angelis; Xiaoyong Fu; Rachel Schiff; Mark T Bedford; Wei Xu; Hans E Johansson; Clifford C Stephan; Michael A Mancini
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10.  Vireo: Bayesian demultiplexing of pooled single-cell RNA-seq data without genotype reference.

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