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单细胞多组学在消化系统癌症研究中的应用

Single-cell multi-omics in the study of digestive system cancers.

作者信息

Zhou Shuang, Lin Nanfei, Yu Liying, Su Xiaoshan, Liu Zhenlong, Yu Xiaowan, Gao Hongzhi, Lin Shu, Zeng Yiming

机构信息

The Second Clinical Medical School of Fujian Medical University, Quanzhou, Fujian Province, China.

The Clinical Center of Molecular Diagnosis and Therapy, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China.

出版信息

Comput Struct Biotechnol J. 2023 Dec 12;23:431-445. doi: 10.1016/j.csbj.2023.12.007. eCollection 2024 Dec.


DOI:10.1016/j.csbj.2023.12.007
PMID:38223343
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10787224/
Abstract

Digestive system cancers are prevalent diseases with a high mortality rate, posing a significant threat to public health and economic burden. The diagnosis and treatment of digestive system cancer confront conventional cancer problems, such as tumor heterogeneity and drug resistance. Single-cell sequencing (SCS) emerged at times required and has developed from single-cell RNA-seq (scRNA-seq) to the single-cell multi-omics era represented by single-cell spatial transcriptomics (ST). This article comprehensively reviews the advances of single-cell omics technology in the study of digestive system tumors. While analyzing and summarizing the research cases, vital details on the sequencing platform, sample information, sampling method, and key findings are provided. Meanwhile, we summarize the commonly used SCS platforms and their features, as well as the advantages of multi-omics technologies in combination. Finally, the development trends and prospects of the application of single-cell multi-omics technology in digestive system cancer research are prospected.

摘要

消化系统癌症是一类高发性疾病,死亡率很高,对公众健康和经济负担构成重大威胁。消化系统癌症的诊断和治疗面临着传统癌症问题,如肿瘤异质性和耐药性。单细胞测序(SCS)应运而生,并从单细胞RNA测序(scRNA-seq)发展到以单细胞空间转录组学(ST)为代表的单细胞多组学时代。本文全面综述了单细胞组学技术在消化系统肿瘤研究中的进展。在分析和总结研究案例的同时,提供了测序平台、样本信息、采样方法和关键发现等重要细节。同时,我们总结了常用的SCS平台及其特点,以及多组学技术联合应用的优势。最后,展望了单细胞多组学技术在消化系统癌症研究中的应用发展趋势和前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20fd/10787224/857f85d75338/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20fd/10787224/09fe8ed68f96/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20fd/10787224/413ea9248d53/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20fd/10787224/a1fd8c772758/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20fd/10787224/857f85d75338/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20fd/10787224/09fe8ed68f96/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20fd/10787224/413ea9248d53/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20fd/10787224/a1fd8c772758/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20fd/10787224/857f85d75338/gr3.jpg

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Single-cell multi-omics in the study of digestive system cancers.

Comput Struct Biotechnol J. 2023-12-12

[2]
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[1]
New insights into tRNA-derived small RNAs in human digestive diseases.

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[1]
KRT17high/CXCL8+ Tumor Cells Display Both Classical and Basal Features and Regulate Myeloid Infiltration in the Pancreatic Cancer Microenvironment.

Clin Cancer Res. 2024-6-3

[2]
Endothelial DGKG promotes tumor angiogenesis and immune evasion in hepatocellular carcinoma.

J Hepatol. 2024-1

[3]
Spatial transcriptomics in development and disease.

Mol Biomed. 2023-10-9

[4]
Single-Cell RNA Sequencing Reveals Immuno-Oncology Characteristics of Tumor-Infiltrating T Lymphocytes in Photodynamic Therapy-Treated Colorectal Cancer Mouse Model.

Int J Mol Sci. 2023-9-10

[5]
Spatial proteomics of immune microenvironment in nonalcoholic steatohepatitis-associated hepatocellular carcinoma.

Hepatology. 2024-3-1

[6]
Combined inhibition of surface CD51 and γ-secretase-mediated CD51 cleavage improves therapeutic efficacy in experimental metastatic hepatocellular carcinoma.

J Hepatol. 2023-12

[7]
OX40L-Armed Oncolytic Virus Boosts T-cell Response and Remodels Tumor Microenvironment for Pancreatic Cancer Treatment.

Theranostics. 2023

[8]
Spatial transcriptomics analysis of esophageal squamous precancerous lesions and their progression to esophageal cancer.

Nat Commun. 2023-8-8

[9]
The promising application of cell-cell interaction analysis in cancer from single-cell and spatial transcriptomics.

Semin Cancer Biol. 2023-10

[10]
Spatially resolved expression landscape and gene-regulatory network of human gastric corpus epithelium.

Protein Cell. 2023-6-7

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