Your browser doesn't support javascript.
loading
Single-cell RNA sequencing to explore cancer-associated fibroblasts heterogeneity: "Single" vision for "heterogeneous" environment.
Zhang, Xiangjian; Zhu, Ruiqiu; Yu, Die; Wang, Juan; Yan, Yuxiang; Xu, Ke.
Affiliation
  • Zhang X; The Dingli Clinical College of Wenzhou Medical University, Wenzhou, Zhejiang, China.
  • Zhu R; Department of Surgical Oncology, Wenzhou Central Hospital, Wenzhou, Zhejiang, China.
  • Yu D; The Second Affiliated Hospital of Shanghai University, Wenzhou, Zhejiang, China.
  • Wang J; Interventional Cancer Institute of Chinese Integrative Medicine, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Yan Y; Interventional Cancer Institute of Chinese Integrative Medicine, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Xu K; School of Medicine, Shanghai University, Shanghai, China.
Cell Prolif ; 57(5): e13592, 2024 May.
Article in En | MEDLINE | ID: mdl-38158643
ABSTRACT
Cancer-associated fibroblasts (CAFs), a phenotypically and functionally heterogeneous stromal cell, are one of the most important components of the tumour microenvironment. Previous studies have consolidated it as a promising target against cancer. However, variable therapeutic efficacy-both protumor and antitumor effects have been observed not least owing to the strong heterogeneity of CAFs. Over the past 10 years, advances in single-cell RNA sequencing (scRNA-seq) technologies had a dramatic effect on biomedical research, enabling the analysis of single cell transcriptomes with unprecedented resolution and throughput. Specifically, scRNA-seq facilitates our understanding of the complexity and heterogeneity of diverse CAF subtypes. In this review, we discuss the up-to-date knowledge about CAF heterogeneity with a focus on scRNA-seq perspective to investigate the emerging strategies for integrating multimodal single-cell platforms. Furthermore, we summarized the clinical application of scRNA-seq on CAF research. We believe that the comprehensive understanding of the heterogeneity of CAFs form different visions will generate innovative solutions to cancer therapy and achieve clinical applications.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Sequence Analysis, RNA / Single-Cell Analysis / Tumor Microenvironment / Cancer-Associated Fibroblasts / Neoplasms Limits: Animals / Humans Language: En Journal: Cell Prolif Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Sequence Analysis, RNA / Single-Cell Analysis / Tumor Microenvironment / Cancer-Associated Fibroblasts / Neoplasms Limits: Animals / Humans Language: En Journal: Cell Prolif Year: 2024 Document type: Article