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单细胞RNA测序在乳腺研究中的应用进展:综述

Advancements in the Application of scRNA-Seq in Breast Research: A Review.

作者信息

Zhang Zhenyu, Ma Xiaoming, La Yongfu, Guo Xian, Chu Min, Bao Pengjia, Yan Ping, Wu Xiaoyun, Liang Chunnian

机构信息

College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China.

Key Laboratory for Yak Genetics, Breeding, and Reproduction Engineering of Gansu Province, Gansu Provincial Key Laboratory of Yak Breeding Engineering, Lanzhou Institute of Animal Husbandry and Veterinary Medicine, Chinese Academy of Agricultural Sciences, Lanzhou 730070, China.

出版信息

Int J Mol Sci. 2024 Dec 22;25(24):13706. doi: 10.3390/ijms252413706.

DOI:10.3390/ijms252413706
PMID:39769466
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11677372/
Abstract

Single-cell sequencing technology provides apparent advantages in cell population heterogeneity, allowing individuals to better comprehend tissues and organs. Sequencing technology is currently moving beyond the standard transcriptome to the single-cell level, which is likely to bring new insights into the function of breast cells. In this study, we examine the primary cell types involved in breast development, as well as achievements in the study of scRNA-seq in the microenvironment, stressing the finding of novel cell subsets using single-cell approaches and analyzing the problems and solutions to scRNA-seq. Furthermore, we are excited about the field's promising future.

摘要

单细胞测序技术在细胞群体异质性方面具有明显优势,使人们能够更好地理解组织和器官。目前,测序技术正从标准转录组迈向单细胞水平,这可能会为乳腺细胞的功能带来新的见解。在本研究中,我们考察了乳腺发育中涉及的主要细胞类型,以及单细胞RNA测序在微环境研究中的成果,着重介绍了使用单细胞方法发现的新型细胞亚群,并分析了单细胞RNA测序存在的问题及解决方案。此外,我们对该领域充满希望的未来感到兴奋。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9285/11677372/a653b2963dea/ijms-25-13706-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9285/11677372/a653b2963dea/ijms-25-13706-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9285/11677372/a653b2963dea/ijms-25-13706-g001.jpg

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Nat Cancer. 2024 Nov;5(11):1713-1736. doi: 10.1038/s43018-024-00773-6. Epub 2024 Oct 30.
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Single-nucleus chromatin accessibility and transcriptomic map of breast tissues of women of diverse genetic ancestry.不同遗传血统女性乳腺组织的单核染色质可及性和转录组图谱。
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The association between immune cells and breast cancer: insights from Mendelian randomization and meta-analysis.
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Microfluidic Biochips for Single-Cell Isolation and Single-Cell Analysis of Multiomics and Exosomes.用于单细胞分离和多组学及外泌体单细胞分析的微流控生物芯片。
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The cellular composition of the tumor microenvironment is an important marker for predicting therapeutic efficacy in breast cancer.肿瘤微环境的细胞组成是预测乳腺癌治疗效果的重要标志物。
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