高级检索
当前位置: 首页 > 详情页

Applications of single‑cell omics and spatial transcriptomics technologies in gastric cancer (Review)

文献详情

资源类型:
Pubmed体系:
机构: [1]School of Healthcare Technology, Chengdu Neusoft University, Chengdu, Sichuan 611844 [2]Department of Radiology, Central South University Xiangya School of Medicine Affiliated Haikou People's Hospital, Haikou, Hainan 570208 [3]School of Computer Science and Technology, Aba Teachers College, Aba, Sichuan 624099 [4]School of Basic Medical Sciences, Chengdu University, Chengdu, Sichuan 610106 [5]Hainan Yazhou Bay Seed Laboratory, Sanya Nanfan Research Institute, Material Science and Engineering Institute of Hainan University, Sanya, Hainan 572025 [6]Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137 [7]Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731 [8]Research Institute of Integrated Traditional Chinese Medicine and Western Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, P.R. China
出处:
ISSN:

关键词: gastric cancer single‑cell omics spatial transcriptomics cellular heterogeneity tumor microenvironment

摘要:
Gastric cancer (GC) is a prominent contributor to global cancer-related mortalities, and a deeper understanding of its molecular characteristics and tumor heterogeneity is required. Single-cell omics and spatial transcriptomics (ST) technologies have revolutionized cancer research by enabling the exploration of cellular heterogeneity and molecular landscapes at the single-cell level. In the present review, an overview of the advancements in single-cell omics and ST technologies and their applications in GC research is provided. Firstly, multiple single-cell omics and ST methods are discussed, highlighting their ability to offer unique insights into gene expression, genetic alterations, epigenomic modifications, protein expression patterns and cellular location in tissues. Furthermore, a summary is provided of key findings from previous research on single-cell omics and ST methods used in GC, which have provided valuable insights into genetic alterations, tumor diagnosis and prognosis, tumor microenvironment analysis, and treatment response. In summary, the application of single-cell omics and ST technologies has revealed the levels of cellular heterogeneity and the molecular characteristics of GC, and holds promise for improving diagnostics, personalized treatments and patient outcomes in GC.Copyright: © Ren et al.

基金:
语种:
PubmedID:
中科院(CAS)分区:
出版当年[2023]版:
大类 | 4 区 医学
小类 | 4 区 肿瘤学
最新[2023]版:
大类 | 4 区 医学
小类 | 4 区 肿瘤学
第一作者:
第一作者机构: [1]School of Healthcare Technology, Chengdu Neusoft University, Chengdu, Sichuan 611844
共同第一作者:
通讯作者:
通讯机构: [1]School of Healthcare Technology, Chengdu Neusoft University, Chengdu, Sichuan 611844 [8]Research Institute of Integrated Traditional Chinese Medicine and Western Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, P.R. China [*1]Research Institute of Integrated Traditional Chinese Medicine and Western Medicine, Chengdu University of Traditional Chinese Medicine, 1166 Liutai Avenue, Wenjiang, Chengdu, Sichuan 611137, P.R. China [*2]School of Healthcare Technology, Chengdu Neusoft University, 1 Dongruan Road, Dujiangyan, Chengdu, Sichuan 611844, P.R. China
推荐引用方式(GB/T 7714):
APA:
MLA:

资源点击量:43377 今日访问量:0 总访问量:3120 更新日期:2024-09-01 建议使用谷歌、火狐浏览器 常见问题

版权所有©2020 四川省肿瘤医院 技术支持:重庆聚合科技有限公司 地址:成都市人民南路四段55号