MaltSci 麦伴科研

Appearance

文献精选 > 高引权威"单细胞测序"文献

The single-cell sequencing: new developments and medical applications. ​

文献信息 ​

DOI10.1186/s13578-019-0314-y
PMID31391919
期刊Cell & bioscience
影响因子6.2
JCR 分区Q1
发表年份2019
被引次数139
关键词癌症, 临床应用, 发展, 免疫学, 单细胞测序技术
文献类型Journal Article, Review
ISSN2045-3701
页码53
期号9()
作者Xiaoning Tang, Yongmei Huang, Jinli Lei, Hui Luo, Xiao Zhu

一句话小结 ​

本文综述了单细胞测序技术的最新进展及其在多个领域（如肿瘤学、微生物学、神经学等）的应用，强调其揭示细胞间差异和进化关系的重要性。这项技术为深入理解生物学过程和疾病机制提供了新的视角和工具。

在麦伴科研 (maltsci.com) 搜索更多文献 ​

癌症 · 临床应用 · 发展 · 免疫学 · 单细胞测序技术

摘要 ​

单细胞测序技术可以用于检测单细胞的基因组、转录组及其他多组学信息。它们能够揭示不同细胞之间的差异和进化关系。本文综述了单细胞测序技术的最新进展及其在肿瘤学、微生物学、神经学、生殖学、免疫学、消化系统和泌尿系统等领域的应用，强调了单细胞测序技术在这些领域中的重要作用。

英文摘要 ​

Single-cell sequencing technologies can be used to detect the genome, transcriptome and other multi-omics of single cells. They can show the differences and evolutionary relationships of various cells. This review introduces the latest advances in single-cell sequencing technologies and their applications in oncology, microbiology, neurology, reproduction, immunology, digestive and urinary systems, highlighting the important role that single-cell sequencing techniques play in these areas.

麦伴智能科研服务 ​

智能阅读回答你对文献的任何问题，帮助理解文献中的复杂图表和公式
定位观点定位某个观点在文献中的蛛丝马迹
加入知识库完成数据提取，报告撰写等更多高级知识挖掘功能

主要研究问题 ​

  1. 单细胞测序技术在不同疾病类型中的具体应用有哪些？
  2. 如何评估单细胞测序技术在临床诊断中的有效性与局限性？
  3. 单细胞测序与传统的基因组测序技术相比，有哪些显著的优势和劣势？
  4. 在单细胞测序中，如何处理和分析大规模数据以获得可靠的生物学结论？
  5. 未来单细胞测序技术可能的发展方向是什么，特别是在个性化医疗中的潜在应用？

核心洞察 ​

研究背景和目的 ​

单细胞测序技术能够检测单个细胞的基因组、转录组及其他多组学信息，揭示细胞群体差异和细胞进化关系。传统测序方法无法分析少量细胞且会丢失细胞异质性，因此本研究旨在介绍单细胞测序技术的最新进展及其在肿瘤学、微生物学、神经学、生殖、免疫学及消化和泌尿系统等领域的应用，强调单细胞测序在基础和临床研究中的重要作用。

主要方法/材料/实验设计 ​

本综述总结了单细胞测序方法的进展，并探讨了其在多个领域的应用。主要技术路线包括以下几种单细胞测序技术：

Mermaid diagram

关键结果和发现 ​

  • 肿瘤应用：单细胞测序技术能够揭示肿瘤细胞的遗传和表型异质性，帮助绘制肿瘤细胞及其微环境的细胞图谱。
  • 微生物学应用：单细胞测序为微生物分类和抗药性基因的研究提供了新的方法，能够深入分析环境微生物群落。
  • 神经系统应用：通过单细胞测序，能够识别不同类型的神经元及其连接分子，为研究脑电路和神经疾病提供了新视角。
  • 生殖医学应用：该技术能够分析生殖细胞和胚胎细胞，帮助理解生殖和遗传疾病的发生机制。

主要结论/意义/创新性 ​

单细胞测序技术的进步极大推动了生物医学研究的发展，尤其在识别细胞异质性、绘制细胞图谱和发现新治疗靶点方面具有重要意义。未来，单细胞测序技术有望与多组学方法结合，成为研究复杂器官和组织的强大工具。

研究局限性和未来方向 ​

尽管单细胞测序技术展现出巨大潜力，但仍存在操作繁琐和检测成本高等问题，限制了其推广。未来的研究应致力于简化操作流程、提高技术灵活性并降低成本，以便在基础研究和临床诊断中发挥更大作用。

参考文献 ​

  1. DNA sequencing of a cytogenetically normal acute myeloid leukaemia genome. - Timothy J Ley;Elaine R Mardis;Li Ding;Bob Fulton;Michael D McLellan;Ken Chen;David Dooling;Brian H Dunford-Shore;Sean McGrath;Matthew Hickenbotham;Lisa Cook;Rachel Abbott;David E Larson;Dan C Koboldt;Craig Pohl;Scott Smith;Amy Hawkins;Scott Abbott;Devin Locke;Ladeana W Hillier;Tracie Miner;Lucinda Fulton;Vincent Magrini;Todd Wylie;Jarret Glasscock;Joshua Conyers;Nathan Sander;Xiaoqi Shi;John R Osborne;Patrick Minx;David Gordon;Asif Chinwalla;Yu Zhao;Rhonda E Ries;Jacqueline E Payton;Peter Westervelt;Michael H Tomasson;Mark Watson;Jack Baty;Jennifer Ivanovich;Sharon Heath;William D Shannon;Rakesh Nagarajan;Matthew J Walter;Daniel C Link;Timothy A Graubert;John F DiPersio;Richard K Wilson - Nature (2008)
  2. Single-cell exome sequencing and monoclonal evolution of a JAK2-negative myeloproliferative neoplasm. - Yong Hou;Luting Song;Ping Zhu;Bo Zhang;Ye Tao;Xun Xu;Fuqiang Li;Kui Wu;Jie Liang;Di Shao;Hanjie Wu;Xiaofei Ye;Chen Ye;Renhua Wu;Min Jian;Yan Chen;Wei Xie;Ruren Zhang;Lei Chen;Xin Liu;Xiaotian Yao;Hancheng Zheng;Chang Yu;Qibin Li;Zhuolin Gong;Mao Mao;Xu Yang;Lin Yang;Jingxiang Li;Wen Wang;Zuhong Lu;Ning Gu;Goodman Laurie;Lars Bolund;Karsten Kristiansen;Jian Wang;Huanming Yang;Yingrui Li;Xiuqing Zhang;Jun Wang - Cell (2012)
  3. The biology of genomes. Single-cell sequencing tackles basic and biomedical questions. - Science (New York, N.Y.) (2012)
  4. Ubiquitous dissolved inorganic carbon assimilation by marine bacteria in the Pacific Northwest coastal ocean as determined by stable isotope probing. - Suzanne DeLorenzo;Suzanna L Bräuer;Chelsea A Edgmont;Lydie Herfort;Bradley M Tebo;Peter Zuber - PloS one (2012)
  5. Mosaic copy number variation in human neurons. - Michael J McConnell;Michael R Lindberg;Kristen J Brennand;Julia C Piper;Thierry Voet;Chris Cowing-Zitron;Svetlana Shumilina;Roger S Lasken;Joris R Vermeesch;Ira M Hall;Fred H Gage - Science (New York, N.Y.) (2013)
  6. Genome analyses of single human oocytes. - Yu Hou;Wei Fan;Liying Yan;Rong Li;Ying Lian;Jin Huang;Jinsen Li;Liya Xu;Fuchou Tang;X Sunney Xie;Jie Qiao - Cell (2013)
  7. Neuronal subtypes and diversity revealed by single-nucleus RNA sequencing of the human brain. - Blue B Lake;Rizi Ai;Gwendolyn E Kaeser;Neeraj S Salathia;Yun C Yung;Rui Liu;Andre Wildberg;Derek Gao;Ho-Lim Fung;Song Chen;Raakhee Vijayaraghavan;Julian Wong;Allison Chen;Xiaoyan Sheng;Fiona Kaper;Richard Shen;Mostafa Ronaghi;Jian-Bing Fan;Wei Wang;Jerold Chun;Kun Zhang - Science (New York, N.Y.) (2016)
  8. Single-cell RNA-seq supports a developmental hierarchy in human oligodendroglioma. - Itay Tirosh;Andrew S Venteicher;Christine Hebert;Leah E Escalante;Anoop P Patel;Keren Yizhak;Jonathan M Fisher;Christopher Rodman;Christopher Mount;Mariella G Filbin;Cyril Neftel;Niyati Desai;Jackson Nyman;Benjamin Izar;Christina C Luo;Joshua M Francis;Aanand A Patel;Maristela L Onozato;Nicolo Riggi;Kenneth J Livak;Dave Gennert;Rahul Satija;Brian V Nahed;William T Curry;Robert L Martuza;Ravindra Mylvaganam;A John Iafrate;Matthew P Frosch;Todd R Golub;Miguel N Rivera;Gad Getz;Orit Rozenblatt-Rosen;Daniel P Cahill;Michelle Monje;Bradley E Bernstein;David N Louis;Aviv Regev;Mario L Suvà - Nature (2016)
  9. Pooled CRISPR screening with single-cell transcriptome readout. - Paul Datlinger;André F Rendeiro;Christian Schmidl;Thomas Krausgruber;Peter Traxler;Johanna Klughammer;Linda C Schuster;Amelie Kuchler;Donat Alpar;Christoph Bock - Nature methods (2017)
  10. Sequencing thousands of single-cell genomes with combinatorial indexing. - Sarah A Vitak;Kristof A Torkenczy;Jimi L Rosenkrantz;Andrew J Fields;Lena Christiansen;Melissa H Wong;Lucia Carbone;Frank J Steemers;Andrew Adey - Nature methods (2017)

引用本文的文献 ​

  1. The Human Ovary and Future of Fertility Assessment in the Post-Genome Era. - Emna Ouni;Didier Vertommen;Christiani A Amorim - International journal of molecular sciences (2019)
  2. Transcriptional regulation in model organisms: recent progress and clinical implications. - Jiaqi Tang;Zhenhua Xu;Lianfang Huang;Hui Luo;Xiao Zhu - Open biology (2019)
  3. Transcriptome analysis reveals an important candidate gene involved in both nodal metastasis and prognosis in lung adenocarcinoma. - Xiao Zhu;Hui Luo;Ying Xu - Cell & bioscience (2019)
  4. Microsatellite instability: a review of what the oncologist should know. - Kai Li;Haiqing Luo;Lianfang Huang;Hui Luo;Xiao Zhu - Cancer cell international (2020)
  5. Three-dimensional genome: developmental technologies and applications in precision medicine. - Yingqi Li;Tao Tao;Likun Du;Xiao Zhu - Journal of human genetics (2020)
  6. mTOR signaling pathway and mTOR inhibitors in cancer: progress and challenges. - Zhilin Zou;Tao Tao;Hongmei Li;Xiao Zhu - Cell & bioscience (2020)
  7. Advances of single-cell genomics and epigenomics in human disease: where are we now? - Rizqah Kamies;Celia P Martinez-Jimenez - Mammalian genome : official journal of the International Mammalian Genome Society (2020)
  8. Organoid technology in female reproductive biomedicine. - Heidar Heidari-Khoei;Fereshteh Esfandiari;Mohammad Amin Hajari;Zeynab Ghorbaninejad;Abbas Piryaei;Hossein Baharvand - Reproductive biology and endocrinology : RB&E (2020)
  9. Single-cell and spatial transcriptomics approaches of cardiovascular development and disease. - Robert Roth;Soochi Kim;Jeesu Kim;Siyeon Rhee - BMB reports (2020)
  10. Single-cell approaches to investigate B cells and antibodies in autoimmune neurological disorders. - Alicia Zou;Sudarshini Ramanathan;Russell C Dale;Fabienne Brilot - Cellular & molecular immunology (2021)

... (129 更多 篇文献)

© 2025 MaltSci 麦伴科研 - 我们用人工智能技术重塑科研