• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

关于实体瘤单细胞分析的详细概述,重点是结直肠癌。

A Detailed Overview About the Single-Cell Analyses of Solid Tumors Focusing on Colorectal Cancer.

机构信息

Department of Internal Medicine and Oncology, Semmelweis University, Budapest, Hungary.

Molecular Medicine Research Group, Eötvös Loránd Research Network, Budapest, Hungary.

出版信息

Pathol Oncol Res. 2022 Jul 14;28:1610342. doi: 10.3389/pore.2022.1610342. eCollection 2022.

DOI:10.3389/pore.2022.1610342
PMID:35928965
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9344373/
Abstract

In recent years, the evolution of the molecular biological technical background led to the widespread application of single-cell sequencing, a versatile tool particularly useful in the investigation of tumor heterogeneity. Even 10 years ago the comprehensive characterization of colorectal cancers by The Cancer Genome Atlas was based on measurements of bulk samples. Nowadays, with single-cell approaches, tumor heterogeneity, the tumor microenvironment, and the interplay between tumor cells and their surroundings can be described in unprecedented detail. In this review article we aimed to emphasize the importance of single-cell analyses by presenting tumor heterogeneity and the limitations of conventional investigational approaches, followed by an overview of the whole single-cell analytic workflow from sample isolation to amplification, sequencing and bioinformatic analysis and a review of recent literature regarding the single-cell analysis of colorectal cancers.

摘要

近年来,分子生物学技术背景的发展使得单细胞测序得到了广泛应用,这是一种非常有用的工具,尤其适用于研究肿瘤异质性。即使在 10 年前,癌症基因组图谱(The Cancer Genome Atlas)对结直肠癌的全面表征也是基于对大量样本的测量。如今,通过单细胞方法,可以以前所未有的细节描述肿瘤异质性、肿瘤微环境以及肿瘤细胞与其周围环境之间的相互作用。在这篇综述文章中,我们旨在通过展示肿瘤异质性和传统研究方法的局限性来强调单细胞分析的重要性,接着概述从样本分离到扩增、测序和生物信息学分析的整个单细胞分析工作流程,并回顾关于结直肠癌单细胞分析的最新文献。

相似文献

1
A Detailed Overview About the Single-Cell Analyses of Solid Tumors Focusing on Colorectal Cancer.关于实体瘤单细胞分析的详细概述,重点是结直肠癌。
Pathol Oncol Res. 2022 Jul 14;28:1610342. doi: 10.3389/pore.2022.1610342. eCollection 2022.
2
Clinical Implications of Colorectal Cancer Stem Cells in the Age of Single-Cell Omics and Targeted Therapies.单细胞组学和靶向治疗时代的结直肠癌干细胞的临床意义。
Gastroenterology. 2021 May;160(6):1947-1960. doi: 10.1053/j.gastro.2020.12.080. Epub 2021 Feb 19.
3
Understanding tumor ecosystems by single-cell sequencing: promises and limitations.单细胞测序解析肿瘤生态系统:机遇与挑战并存。
Genome Biol. 2018 Dec 3;19(1):211. doi: 10.1186/s13059-018-1593-z.
4
Single-cell transcriptome analysis reveals tumor immune microenvironment heterogenicity and granulocytes enrichment in colorectal cancer liver metastases.单细胞转录组分析揭示结直肠癌肝转移瘤肿瘤免疫微环境异质性和粒细胞富集。
Cancer Lett. 2020 Feb 1;470:84-94. doi: 10.1016/j.canlet.2019.10.016. Epub 2019 Oct 11.
5
Single-Cell Analysis in the Era: Technologies and Applications in Cancer.单细胞分析时代:癌症中的技术与应用。
Genes (Basel). 2023 Jun 24;14(7):1330. doi: 10.3390/genes14071330.
6
Spatial transcriptomics atlas reveals the crosstalk between cancer-associated fibroblasts and tumor microenvironment components in colorectal cancer.空间转录组图谱揭示结直肠癌中肿瘤相关成纤维细胞与肿瘤微环境成分的相互作用。
J Transl Med. 2022 Jul 6;20(1):302. doi: 10.1186/s12967-022-03510-8.
7
De novo transcriptomic subtyping of colorectal cancer liver metastases in the context of tumor heterogeneity.结直肠癌肝转移肿瘤异质性背景下的从头转录组亚分型。
Genome Med. 2021 Sep 1;13(1):143. doi: 10.1186/s13073-021-00956-1.
8
Single-cell RNA sequencing in breast cancer: Understanding tumor heterogeneity and paving roads to individualized therapy.单细胞 RNA 测序在乳腺癌中的应用:解析肿瘤异质性并为个体化治疗铺平道路。
Cancer Commun (Lond). 2020 Aug;40(8):329-344. doi: 10.1002/cac2.12078. Epub 2020 Jul 12.
9
Evolution and heterogeneity of non-hereditary colorectal cancer revealed by single-cell exome sequencing.单细胞外显子测序揭示的非遗传性结直肠癌的进化与异质性
Oncogene. 2017 May 18;36(20):2857-2867. doi: 10.1038/onc.2016.438. Epub 2016 Dec 12.
10
A next-generation sequencing-based strategy combining microsatellite instability and tumor mutation burden for comprehensive molecular diagnosis of advanced colorectal cancer.一种基于下一代测序的策略,结合微卫星不稳定性和肿瘤突变负担,用于晚期结直肠癌的综合分子诊断。
BMC Cancer. 2021 Mar 16;21(1):282. doi: 10.1186/s12885-021-07942-1.

引用本文的文献

1
Incorporating Novel Technologies in Precision Oncology for Colorectal Cancer: Advancing Personalized Medicine.将新技术融入结直肠癌精准肿瘤学:推进个性化医疗。
Cancers (Basel). 2024 Jan 23;16(3):480. doi: 10.3390/cancers16030480.
2
Prognostic Biomarkers of Cell Proliferation in Colorectal Cancer (CRC): From Immunohistochemistry to Molecular Biology Techniques.结直肠癌(CRC)中细胞增殖的预后生物标志物:从免疫组织化学到分子生物学技术
Cancers (Basel). 2023 Sep 15;15(18):4570. doi: 10.3390/cancers15184570.
3
Droplets microfluidics platform-A tool for single cell research.

本文引用的文献

1
A Prognostic Model of Colon Cancer Based on the Microenvironment Component Score Single Cell Sequencing.基于微环境成分评分单细胞测序的结肠癌预后模型。
In Vivo. 2022 Mar-Apr;36(2):753-763. doi: 10.21873/invivo.12762.
2
Intra-Tumor Heterogeneity of Colorectal Cancer Necessitates the Multi-Regional Sequencing for Comprehensive Mutational Profiling.结直肠癌的肿瘤内异质性需要多区域测序以进行全面的突变分析。
Cancer Manag Res. 2021 Dec 16;13:9209-9223. doi: 10.2147/CMAR.S327596. eCollection 2021.
3
From bulk, single-cell to spatial RNA sequencing.
微滴微流控平台——一种用于单细胞研究的工具。
Front Bioeng Biotechnol. 2023 Apr 19;11:1121870. doi: 10.3389/fbioe.2023.1121870. eCollection 2023.
从批量、单细胞到空间 RNA 测序。
Int J Oral Sci. 2021 Nov 15;13(1):36. doi: 10.1038/s41368-021-00146-0.
4
Landscape of cell heterogeneity and evolutionary trajectory in ulcerative colitis-associated colon cancer revealed by single-cell RNA sequencing.单细胞RNA测序揭示溃疡性结肠炎相关结肠癌中细胞异质性和进化轨迹的全貌
Chin J Cancer Res. 2021 Apr 30;33(2):271-288. doi: 10.21147/j.issn.1000-9604.2021.02.13.
5
Single-Cell Multiomics Sequencing Reveals Prevalent Genomic Alterations in Tumor Stromal Cells of Human Colorectal Cancer.单细胞多组学测序揭示了人类结直肠癌肿瘤基质细胞中普遍存在的基因组改变。
Cancer Cell. 2020 Dec 14;38(6):818-828.e5. doi: 10.1016/j.ccell.2020.09.015. Epub 2020 Oct 22.
6
Statistical and Bioinformatics Analysis of Data from Bulk and Single-Cell RNA Sequencing Experiments.批量和单细胞 RNA 测序实验数据的统计和生物信息学分析。
Methods Mol Biol. 2021;2194:143-175. doi: 10.1007/978-1-0716-0849-4_9.
7
Methods for copy number aberration detection from single-cell DNA-sequencing data.单细胞 DNA 测序数据拷贝数变异检测方法。
Genome Biol. 2020 Aug 17;21(1):208. doi: 10.1186/s13059-020-02119-8.
8
Cellular and Extracellular Components in Tumor Microenvironment and Their Application in Early Diagnosis of Cancers.肿瘤微环境中的细胞和细胞外成分及其在癌症早期诊断中的应用。
Anal Cell Pathol (Amst). 2020 Jan 8;2020:6283796. doi: 10.1155/2020/6283796. eCollection 2020.
9
The Prognostic Implications of Tumor Infiltrating Lymphocytes in Colorectal Cancer: A Systematic Review and Meta-Analysis.肿瘤浸润淋巴细胞在结直肠癌中的预后意义:系统评价和荟萃分析。
Sci Rep. 2020 Feb 25;10(1):3360. doi: 10.1038/s41598-020-60255-4.
10
Identification of somatic mutations in single cell DNA-seq using a spatial model of allelic imbalance.利用等位基因失衡的空间模型鉴定单细胞 DNA 测序中的体细胞突变。
Nat Commun. 2019 Aug 29;10(1):3908. doi: 10.1038/s41467-019-11857-8.