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文献精选 > 高引权威"单细胞测序"文献

Unravelling biology and shifting paradigms in cancer with single-cell sequencing. ​

文献信息 ​

DOI10.1038/nrc.2017.58
PMID28835719
期刊Nature reviews. Cancer
影响因子66.8
JCR 分区Q1
发表年份2017
被引次数224
关键词单细胞测序, 癌症生物学, 肿瘤异质性, 基因组演化
文献类型Journal Article, Review, Research Support, Non-U.S. Gov't
ISSN1474-175X
页码557-569
期号17(9)
作者Timour Baslan, James Hicks

一句话小结 ​

本研究探讨了单细胞分析在癌症研究中的重要性，指出单细胞测序技术的进步使研究者能够深入理解肿瘤的遗传异质性及其演化，从而揭示疾病复发和转移的机制。该技术的发展不仅克服了以往的技术限制，也为癌症生物学的研究提供了更高的分辨率，具有重要的研究意义。

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单细胞测序 · 癌症生物学 · 肿瘤异质性 · 基因组演化

摘要 ​

癌症的基本操作单元是具有遗传和表观遗传创新能力的单个细胞。无论是增殖还是静止，处于原发肿瘤组织中还是在其他地方扩散，单个细胞都主导着决定癌症生物学各个方面的参数。因此，单细胞分析为我们在理解这一疾病的基本本质上提供了最终的分辨率。历史上，这一探索受到技术短板的制约。在这篇观点文章中，我们认为快速发展的单细胞测序领域已经解放了癌症研究界，使其摆脱了这些短板。从深化对肿瘤内遗传异质性和癌症基因组演化的基本理解，到阐明疾病复发和转移的主导原理，我们认为单细胞测序有望揭示这一疾病各个方面的生物学。

英文摘要 ​

The fundamental operative unit of a cancer is the genetically and epigenetically innovative single cell. Whether proliferating or quiescent, in the primary tumour mass or disseminated elsewhere, single cells govern the parameters that dictate all facets of the biology of cancer. Thus, single-cell analyses provide the ultimate level of resolution in our quest for a fundamental understanding of this disease. Historically, this quest has been hampered by technological shortcomings. In this Opinion article, we argue that the rapidly evolving field of single-cell sequencing has unshackled the cancer research community of these shortcomings. From furthering an elemental understanding of intra-tumoural genetic heterogeneity and cancer genome evolution to illuminating the governing principles of disease relapse and metastasis, we posit that single-cell sequencing promises to unravel the biology of all facets of this disease.

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主要研究问题 ​

  1. 单细胞测序如何具体揭示肿瘤内的遗传异质性？
  2. 在癌症研究中，单细胞测序技术的进步对疾病复发和转移的理解有何影响？
  3. 除了单细胞测序，还有哪些新兴技术可以用于癌症生物学的研究？
  4. 如何利用单细胞测序数据来开发针对特定癌症类型的个性化治疗方案？
  5. 单细胞测序在不同癌症类型的应用效果是否存在显著差异？如果有，具体表现在哪些方面？

核心洞察 ​

1. 研究背景和目的 ​

癌症的基本操作单元是具有遗传和表观遗传创新能力的单个细胞。这些细胞，无论是处于增殖状态还是静止状态，不论是位于肿瘤原位还是已经转移，都在决定癌症生物学的各个方面中扮演着核心角色。尽管单细胞分析提供了理解癌症的终极分辨率，但历史上，由于技术上的局限性，研究这一领域的进展受到了制约。因此，本文旨在探讨单细胞测序技术的快速发展如何为癌症研究带来了新的机遇，推动我们对癌症生物学的深入理解。

2. 主要方法和发现 ​

本文通过回顾单细胞测序技术的进展，讨论了其在癌症研究中的应用与潜力。单细胞测序能够揭示肿瘤内的遗传异质性和癌症基因组的演变，帮助科学家理解疾病复发和转移的基本原则。文章提出，单细胞分析有助于克服以往研究中的技术障碍，使研究人员能够更精确地解析癌症的复杂性。

3. 核心结论 ​

单细胞测序技术的进步为癌症生物学的研究提供了新的视角和工具。通过对单个细胞的深入分析，研究人员能够更加清晰地认识到癌症的异质性及其演变过程。此外，这一技术不仅有助于理解肿瘤的微环境和转移机制，还为开发新型治疗策略和个性化医学提供了基础。

4. 研究意义和影响 ​

本研究强调了单细胞测序在癌症研究中的重要性，标志着一种新的研究范式的转变。随着这一技术的不断成熟和普及，预计将会在癌症的早期诊断、治疗监测和预后评估等方面产生深远的影响。未来，单细胞测序可能成为揭示癌症复杂生物学的标准工具，为改善患者的治疗效果和生存率提供新的可能性。

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引用本文的文献 ​

  1. Closing the Genotype-Phenotype Loop for Precision Medicine. - Calum A MacRae;Christine E Seidman - Circulation (2017)
  2. Nothing in cancer makes sense except…. - Mel Greaves - BMC biology (2018)
  3. Isoform-level gene expression patterns in single-cell RNA-sequencing data. - Trung Nghia Vu;Quin F Wills;Krishna R Kalari;Nifang Niu;Liewei Wang;Yudi Pawitan;Mattias Rantalainen - Bioinformatics (Oxford, England) (2018)
  4. Defining Cell Identity with Single-Cell Omics. - Laura Mincarelli;Ashleigh Lister;James Lipscombe;Iain C Macaulay - Proteomics (2018)
  5. Taking Systems Medicine to Heart. - Kalliopi Trachana;Rhishikesh Bargaje;Gustavo Glusman;Nathan D Price;Sui Huang;Leroy E Hood - Circulation research (2018)
  6. Power in Numbers: Single-Cell RNA-Seq Strategies to Dissect Complex Tissues. - Kenneth D Birnbaum - Annual review of genetics (2018)
  7. [Advances on Recognizing and Managing Tumor Heterogeneity]. - Rui Zhong;Hui Li;Shuang Zhang;Jingjing Liu;Ying Cheng - Zhongguo fei ai za zhi = Chinese journal of lung cancer (2018)
  8. Quantification of somatic mutation flow across individual cell division events by lineage sequencing. - Yehuda Brody;Robert J Kimmerling;Yosef E Maruvka;David Benjamin;Juniper J Elacqua;Nicholas J Haradhvala;Jaegil Kim;Kent W Mouw;Kristjana Frangaj;Amnon Koren;Gad Getz;Scott R Manalis;Paul C Blainey - Genome research (2018)
  9. Translocation-Related Sarcomas. - Kenji Nakano;Shunji Takahashi - International journal of molecular sciences (2018)
  10. Single-Cell Applications of Next-Generation Sequencing. - Naishitha Anaparthy;Yu-Jui Ho;Luciano Martelotto;Molly Hammell;James Hicks - Cold Spring Harbor perspectives in medicine (2019)

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