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在单细胞分辨率下解析胃癌中的基因调控

Deciphering genetic regulation at single-cell resolution in gastric cancer.

作者信息

Chen Chengxuan, Han Leng

机构信息

Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN 46202, USA; Brown Center for Immunotherapy, Indiana University School of Medicine, Indianapolis, IN 46202, USA; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN 46202, USA.

出版信息

Cell Genom. 2025 Apr 9;5(4):100846. doi: 10.1016/j.xgen.2025.100846.

DOI:10.1016/j.xgen.2025.100846
PMID:40209679
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12008802/
Abstract

Understanding cell-type-specific genetic regulation in gastric cancer is essential for uncovering disease susceptibility. By performing single-cell eQTL mapping in gastric tissues, Bian et al. identified previously uncharacterized regulatory genetic mechanisms, risk genes, and co-localization signals associated with gastric cancer susceptibility, providing insights into its pathogenesis and potential therapeutic approaches.

摘要

了解胃癌中细胞类型特异性的基因调控对于揭示疾病易感性至关重要。通过在胃组织中进行单细胞eQTL定位，卞等人确定了与胃癌易感性相关的先前未被表征的调控基因机制、风险基因和共定位信号，为其发病机制和潜在治疗方法提供了见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/967b/12008802/6a2b7ba28bd0/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/967b/12008802/6a2b7ba28bd0/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/967b/12008802/6a2b7ba28bd0/gr1.jpg

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本文引用的文献

1
Single-cell eQTL mapping reveals cell-type-specific genes associated with the risk of gastric cancer.单细胞eQTL图谱揭示了与胃癌风险相关的细胞类型特异性基因。
Cell Genom. 2025 Apr 9;5(4):100812. doi: 10.1016/j.xgen.2025.100812. Epub 2025 Mar 19.
2
Exploring the current landscape of single-cell RNA sequencing applications in gastric cancer research.探索单细胞 RNA 测序技术在胃癌研究中的应用现状。
J Cell Mol Med. 2024 Apr;28(7):e18159. doi: 10.1111/jcmm.18159.
3
Applications of single‑cell omics and spatial transcriptomics technologies in gastric cancer (Review).
单细胞组学和空间转录组学技术在胃癌中的应用（综述）
Oncol Lett. 2024 Feb 14;27(4):152. doi: 10.3892/ol.2024.14285. eCollection 2024 Apr.
4
PancanQTLv2.0: a comprehensive resource for expression quantitative trait loci across human cancers.PancanQTLv2.0：一个全面的人类癌症表达数量性状基因座资源。
Nucleic Acids Res. 2024 Jan 5;52(D1):D1400-D1406. doi: 10.1093/nar/gkad916.
5
Transcriptome-wide association studies: recent advances in methods, applications and available databases.转录组关联研究：方法、应用和现有数据库的最新进展。
Commun Biol. 2023 Sep 1;6(1):899. doi: 10.1038/s42003-023-05279-y.
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eQTL studies: from bulk tissues to single cells.eQTL 研究：从组织样本到单细胞水平。
J Genet Genomics. 2023 Dec;50(12):925-933. doi: 10.1016/j.jgg.2023.05.003. Epub 2023 May 18.
7
Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries.《全球癌症统计数据 2020：全球 185 个国家和地区 36 种癌症的发病率和死亡率估计》。
CA Cancer J Clin. 2021 May;71(3):209-249. doi: 10.3322/caac.21660. Epub 2021 Feb 4.
8
Genetic risk, incident gastric cancer, and healthy lifestyle: a meta-analysis of genome-wide association studies and prospective cohort study.遗传风险、胃癌发病和健康生活方式：全基因组关联研究和前瞻性队列研究的荟萃分析。
Lancet Oncol. 2020 Oct;21(10):1378-1386. doi: 10.1016/S1470-2045(20)30460-5.
9
Integration of GWAS and eQTL Analysis to Identify Risk Loci and Susceptibility Genes for Gastric Cancer.整合全基因组关联研究（GWAS）和表达数量性状基因座（eQTL）分析以鉴定胃癌的风险位点和易感基因。
Front Genet. 2020 Jul 10;11:679. doi: 10.3389/fgene.2020.00679. eCollection 2020.
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