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文献精选 > 近年高分"单细胞测序"研究（IF≥30，近5年）

Single-cell sequencing: a promising approach for uncovering the mechanisms of tumor metastasis. ​

文献信息 ​

DOI10.1186/s13045-022-01280-w
PMID35549970
期刊Journal of hematology & oncology
影响因子40.4
JCR 分区Q1
发表年份2022
被引次数55
关键词人工智能, 单细胞测序, 靶向治疗, 肿瘤异质性, 肿瘤标志物
文献类型Journal Article, Review, Research Support, Non-U.S. Gov't
ISSN1756-8722
页码59
期号15(1)
作者Yingying Han, Dan Wang, Lushan Peng, Tao Huang, Xiaoyun He, Junpu Wang, Chunlin Ou

一句话小结 ​

单细胞测序（SCS）作为一种高通量技术，已在癌症等疾病的研究中广泛应用，尤其是在探索肿瘤转移机制和制定治疗策略方面。研究表明，SCS不仅能够分析肿瘤的生物特征和细胞图谱，还结合人工智能识别循环肿瘤细胞，为转移治疗提供新的策略，从而为未来治疗靶点的发现和机制研究奠定了基础。

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人工智能 · 单细胞测序 · 靶向治疗 · 肿瘤异质性 · 肿瘤标志物

摘要 ​

单细胞测序（SCS）是一项新兴的高通量技术，可用于研究单细胞水平的基因组学、转录组学和表观遗传学。SCS在多种疾病的诊断和治疗中得到广泛应用，包括癌症。多年来，SCS逐渐成为探索肿瘤转移机制和制定治疗策略的有效临床工具。目前，SCS不仅可以用来分析与转移相关的恶性生物特征，如肿瘤异质性、耐药性和微环境，还可以构建与转移相关的细胞图谱，以预测和监测转移动态。SCS还用于识别与转移相关的治疗靶点，因为它提供了肿瘤细胞亚群的分布和原发性肿瘤与转移性肿瘤之间基因表达差异的深入见解。此外，SCS技术结合人工智能（AI）在液体活检中被用来识别循环肿瘤细胞（CTCs），从而为肿瘤转移治疗提供了一种新策略。在本综述中，我们总结了SCS在肿瘤转移领域的潜在应用，并讨论SCS的前景和局限性，为寻找治疗靶点和转移机制提供理论基础。

英文摘要 ​

Single-cell sequencing (SCS) is an emerging high-throughput technology that can be used to study the genomics, transcriptomics, and epigenetics at a single cell level. SCS is widely used in the diagnosis and treatment of various diseases, including cancer. Over the years, SCS has gradually become an effective clinical tool for the exploration of tumor metastasis mechanisms and the development of treatment strategies. Currently, SCS can be used not only to analyze metastasis-related malignant biological characteristics, such as tumor heterogeneity, drug resistance, and microenvironment, but also to construct metastasis-related cell maps for predicting and monitoring the dynamics of metastasis. SCS is also used to identify therapeutic targets related to metastasis as it provides insights into the distribution of tumor cell subsets and gene expression differences between primary and metastatic tumors. Additionally, SCS techniques in combination with artificial intelligence (AI) are used in liquid biopsy to identify circulating tumor cells (CTCs), thereby providing a novel strategy for treating tumor metastasis. In this review, we summarize the potential applications of SCS in the field of tumor metastasis and discuss the prospects and limitations of SCS to provide a theoretical basis for finding therapeutic targets and mechanisms of metastasis.

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主要研究问题 ​

  1. 单细胞测序在肿瘤转移机制研究中有哪些具体的应用案例？
  2. 如何结合单细胞测序与其他技术（如基因编辑或质谱）来进一步探索肿瘤转移的生物学特性？
  3. 单细胞测序技术在识别循环肿瘤细胞方面的最新进展是什么？
  4. 单细胞测序如何帮助我们理解肿瘤微环境对转移的影响？
  5. 在临床应用中，单细胞测序的局限性和挑战是什么，如何克服这些问题？

核心洞察 ​

研究背景和目的 ​

肿瘤转移是癌症患者死亡的主要原因之一，了解其机制对于开发新的治疗策略至关重要。单细胞测序（SCS）技术的出现为研究肿瘤转移提供了新的视角。本文旨在总结SCS在肿瘤转移机制研究中的应用，探讨其潜在的临床意义和未来的发展方向。

主要方法/材料/实验设计 ​

单细胞测序（SCS）技术包括以下主要步骤：

  1. 样本处理：从固体肿瘤中分离存活的单细胞。
  2. 细胞裂解与文库构建：将单细胞裂解以提取DNA或RNA，RNA逆转录为cDNA并扩增以构建测序文库。
  3. 高通量测序：在测序平台上进行高通量测序。
  4. 数据可视化与分析：对测序数据进行可视化和生物信息学分析。

以下是SCS技术流程图的Mermaid代码：

Mermaid diagram

关键结果和发现 ​

  1. 肿瘤异质性：SCS揭示了转移肿瘤与原发肿瘤在基因表达和细胞组成上的显著差异。
  2. 转移机制：通过分析不同细胞类型的基因表达，SCS帮助识别了与转移相关的关键基因和信号通路（如Wnt、MAPK）。
  3. 药物耐药性：研究表明，转移细胞的药物耐药性与其表型变化密切相关，SCS能够识别出与耐药性相关的细胞亚群。
  4. 肿瘤微环境：SCS有助于分析肿瘤微环境的组成及其对肿瘤转移的影响，特别是在免疫细胞的浸润模式上。

主要结论/意义/创新性 ​

SCS为肿瘤转移机制的研究提供了前所未有的细节，能够揭示肿瘤细胞在转移过程中的动态变化。该技术不仅可以用于发现新的治疗靶点，还能在临床上用于监测转移进程和评估治疗反应。结合人工智能（AI）技术，SCS有望进一步提高肿瘤转移的早期诊断和个性化治疗的精确性。

研究局限性和未来方向 ​

尽管SCS在肿瘤研究中展现出巨大潜力，但仍面临以下挑战：

  • 样本收集与处理：单细胞分离技术复杂，样本损伤风险高。
  • 数据分析：大规模数据分析困难，需开发更高效的分析工具。
  • 成本问题：SCS的高成本限制了其在临床的广泛应用。

未来，随着技术的进步和成本的降低，SCS有望在肿瘤转移研究中得到更广泛的应用，推动精准医疗的发展。

参考文献 ​

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引用本文的文献 ​

  1. The Hippo Pathway Effector Transcriptional Co-activator With PDZ-Binding Motif Correlates With Clinical Prognosis and Immune Infiltration in Colorectal Cancer. - Yutong Wang;Hui Nie;Huiling Li;Zhiming Liao;Xuejie Yang;Xiaoyun He;Jian Ma;Jianhua Zhou;Chunlin Ou - Frontiers in medicine (2022)
  2. Understanding Breast Cancers through Spatial and High-Resolution Visualization Using Imaging Technologies. - Haruko Takahashi;Daisuke Kawahara;Yutaka Kikuchi - Cancers (2022)
  3. Lipid nanoparticle-based mRNA vaccines in cancers: Current advances and future prospects. - Tao Huang;Lushan Peng;Yingying Han;Dan Wang;Xiaoyun He;Junpu Wang;Chunlin Ou - Frontiers in immunology (2022)
  4. A novel epithelial-mesenchymal transition (EMT)-related gene signature of predictive value for the survival outcomes in lung adenocarcinoma. - Yimeng Cui;Xin Wang;Lei Zhang;Wei Liu;Jinfeng Ning;Ruixue Gu;Yaowen Cui;Li Cai;Ying Xing - Frontiers in oncology (2022)
  5. Minichromosome maintenance gene family: potential therapeutic targets and prognostic biomarkers for lung squamous cell carcinoma. - Xuejie Yang;Chunrong Wang;Hui Nie;Jianhua Zhou;Xiaoyun He;Chunlin Ou - Aging (2022)
  6. Targeting macrophages: a novel treatment strategy in solid tumors. - Mengmeng Liu;Lina Liu;Yongping Song;Wei Li;Linping Xu - Journal of translational medicine (2022)
  7. Expression profile and prognostic values of GATA family members in kidney renal clear cell carcinoma. - Xuejie Yang;Cheng Mei;Hui Nie;Jianhua Zhou;Chunlin Ou;Xiaoyun He - Aging (2023)
  8. RevGel-seq: instrument-free single-cell RNA sequencing using a reversible hydrogel for cell-specific barcoding. - Jun Komatsu;Alba Cico;Raya Poncin;Maël Le Bohec;Jörg Morf;Stanislav Lipin;Antoine Graindorge;Hélène Eckert;Azadeh Saffarian;Léa Cathaly;Frédéric Guérin;Sara Majello;Damien Ulveling;Anaïs Vayaboury;Nicolas Fernandez;Dilyana Dimitrova;Xavier Bussell;Yannick Fourne;Pierre Chaumat;Barbara André;Elodie Baldivia;Ulysse Godet;Mathieu Guinin;Vivien Moretto;Joy Ismail;Olivier Caille;Natacha Roblot;Carine Beaupère;Alexandrine Liboz;Ghislaine Guillemain;Bertrand Blondeau;Pierre Walrafen;Stuart Edelstein - Scientific reports (2023)
  9. RNA helicase DDX5-induced circPHF14 promotes gastric cancer cell progression. - Jia Wang;Chunjie Han;Jinsheng Wang;Qiu Peng - Aging (2023)
  10. CD31 promotes diffuse large B-cell lymphoma metastasis by upregulating OPN through the AKT pathway and inhibiting CD8+ T cells through the mTOR pathway. - Zhengchang He;Shaoxian Shen;Yuyao Yi;Lingli Ren;Huan Tao;Fujue Wang;Yongqian Jia - American journal of translational research (2023)

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