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单细胞分辨率揭示人类乳腺癌脂肪组织中的多样性和异质性。

Diversity and heterogeneity in human breast cancer adipose tissue revealed at single-nucleus resolution.

机构信息

Advanced Medical Research Center of Zhengzhou University, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, China.

Department of Cell Biology, Key Laboratory of Cell Biology, National Health Commission of the PRC and Key Laboratory of Medical Cell Biology, Ministry of Education of the PRC, China Medical University, Shenyang, Liaoning, China.

出版信息

Front Immunol. 2023 Apr 21;14:1158027. doi: 10.3389/fimmu.2023.1158027. eCollection 2023.

Abstract

INTRODUCTION

There is increasing awareness of the role of adipose tissue in breast cancer occurrence and development, but no comparison of adipose adjacent to breast cancer tissues and adipose adjacent to normal breast tissues has been reported.

METHODS

Single-nucleus RNA sequencing (snRNA-seq) was used to analyze cancer-adjacent and normal adipose tissues from the same breast cancer patient to characterize heterogeneity. SnRNA-seq was performed on 54513 cells from six samples of normal breast adipose tissue (N) distant from the tumor and tumor-adjacent adipose tissue (T) from the three patients (all surgically resected).

RESULTS AND DISCUSSION

Significant diversity was detected in cell subgroups, differentiation status and, gene expression profiles. Breast cancer induces inflammatory gene profiles in most adipose cell types, such as macrophages, endothelial cells, and adipocytes. Furthermore, breast cancer decreased lipid uptake and the lipolytic phenotype and caused a switch to lipid biosynthesis and an inflammatory state in adipocytes. The trajectory of adipogenesis revealed distinct transcriptional stages. Breast cancer induced reprogramming across many cell types in breast cancer adipose tissues. Cellular remodeling was investigated by alterations in cell proportions, transcriptional profiles and cell-cell interactions. Breast cancer biology and novel biomarkers and therapy targets may be exposed.

摘要

简介

人们越来越意识到脂肪组织在乳腺癌发生和发展中的作用,但尚未有研究比较乳腺癌组织附近的脂肪和正常乳腺组织附近的脂肪。

方法

采用单细胞 RNA 测序(snRNA-seq)分析来自同一乳腺癌患者的癌旁和正常乳腺组织,以描述其异质性。对来自 3 名患者的 6 个样本(均为手术切除)的 54513 个正常乳腺脂肪组织(N)和肿瘤旁脂肪组织(T)细胞进行 snRNA-seq。

结果与讨论

在细胞亚群、分化状态和基因表达谱方面检测到显著的多样性。乳腺癌在大多数脂肪细胞类型(如巨噬细胞、内皮细胞和脂肪细胞)中诱导炎症基因谱。此外,乳腺癌降低了脂肪细胞的脂质摄取和脂肪分解表型,并导致脂质合成和炎症状态的转换。脂肪生成轨迹揭示了不同的转录阶段。乳腺癌在乳腺癌脂肪组织中诱导了许多细胞类型的重编程。通过细胞比例、转录谱和细胞间相互作用的改变来研究细胞重塑。可能会揭示乳腺癌生物学和新的生物标志物及治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58c0/10160491/fef05441628d/fimmu-14-1158027-g001.jpg

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