单细胞多组学新兴技术。

IF 7.9 1区 医学 Q1 HEMATOLOGY
Haematologica Pub Date : 2025-06-01 Epub Date: 2025-02-06 DOI:10.3324/haematol.2022.282557
Yi June Kim, Koichi Takahashi
{"title":"单细胞多组学新兴技术。","authors":"Yi June Kim, Koichi Takahashi","doi":"10.3324/haematol.2022.282557","DOIUrl":null,"url":null,"abstract":"<p><p>The heterogeneity of the hematopoietic system was largely veiled by traditional bulk sequencing methods, which measure the averaged signals from mixed cellular populations. In contrast, single-cell sequencing has enabled the direct measurement of individual signals from each cell, significantly enhancing our ability to unveil such heterogeneity. Building on these advances, numerous single-cell multi-omics techniques have been developed into high-throughput, routinely accessible platforms, delineating the precise relationships among different layers of the central dogma in molecular biology. These technologies have uncovered the intricate landscape of genetic clonality and transcriptional heterogeneity in both normal and malignant hematopoietic systems, highlighting their roles in differentiation, disease progression, and therapy resistance. This review aims to provide a brief overview of the principles of single-cell technologies, their historical development, and a subset of ever-expanding multi-omics tools, emphasizing the specific research questions that inspired their creation. Amidst the evolving landscape of single-cell multi-omics technologies, our main objective is to guide investigators in selecting the most suitable platforms for their research needs.</p>","PeriodicalId":12964,"journal":{"name":"Haematologica","volume":" ","pages":"1269-1277"},"PeriodicalIF":7.9000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12130758/pdf/","citationCount":"0","resultStr":"{\"title\":\"Emerging technologies of single-cell multi-omics.\",\"authors\":\"Yi June Kim, Koichi Takahashi\",\"doi\":\"10.3324/haematol.2022.282557\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The heterogeneity of the hematopoietic system was largely veiled by traditional bulk sequencing methods, which measure the averaged signals from mixed cellular populations. In contrast, single-cell sequencing has enabled the direct measurement of individual signals from each cell, significantly enhancing our ability to unveil such heterogeneity. Building on these advances, numerous single-cell multi-omics techniques have been developed into high-throughput, routinely accessible platforms, delineating the precise relationships among different layers of the central dogma in molecular biology. These technologies have uncovered the intricate landscape of genetic clonality and transcriptional heterogeneity in both normal and malignant hematopoietic systems, highlighting their roles in differentiation, disease progression, and therapy resistance. This review aims to provide a brief overview of the principles of single-cell technologies, their historical development, and a subset of ever-expanding multi-omics tools, emphasizing the specific research questions that inspired their creation. Amidst the evolving landscape of single-cell multi-omics technologies, our main objective is to guide investigators in selecting the most suitable platforms for their research needs.</p>\",\"PeriodicalId\":12964,\"journal\":{\"name\":\"Haematologica\",\"volume\":\" \",\"pages\":\"1269-1277\"},\"PeriodicalIF\":7.9000,\"publicationDate\":\"2025-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12130758/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Haematologica\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3324/haematol.2022.282557\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/2/6 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"HEMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Haematologica","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3324/haematol.2022.282557","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/6 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"HEMATOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

造血系统的异质性在很大程度上被传统的批量测序方法所掩盖,这些方法测量来自混合细胞群体的平均信号。相比之下,单细胞测序能够直接测量来自每个细胞的单个信号,显著增强我们揭示这种异质性的能力。在这些进步的基础上,许多单细胞多组学技术已经发展成为高通量,常规可访问的平台,描绘了分子生物学中心教条的不同层次之间的精确关系。这些技术揭示了正常和恶性造血系统中遗传克隆和转录异质性的复杂格局,突出了它们在分化、疾病进展和治疗耐药性中的作用。本综述旨在简要概述单细胞技术的原理、历史发展以及不断扩展的多组学工具的子集,并强调启发其创建的具体研究问题。在单细胞多组学技术不断发展的背景下,我们的主要目标是指导研究人员选择最适合他们研究需求的平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Emerging technologies of single-cell multi-omics.

The heterogeneity of the hematopoietic system was largely veiled by traditional bulk sequencing methods, which measure the averaged signals from mixed cellular populations. In contrast, single-cell sequencing has enabled the direct measurement of individual signals from each cell, significantly enhancing our ability to unveil such heterogeneity. Building on these advances, numerous single-cell multi-omics techniques have been developed into high-throughput, routinely accessible platforms, delineating the precise relationships among different layers of the central dogma in molecular biology. These technologies have uncovered the intricate landscape of genetic clonality and transcriptional heterogeneity in both normal and malignant hematopoietic systems, highlighting their roles in differentiation, disease progression, and therapy resistance. This review aims to provide a brief overview of the principles of single-cell technologies, their historical development, and a subset of ever-expanding multi-omics tools, emphasizing the specific research questions that inspired their creation. Amidst the evolving landscape of single-cell multi-omics technologies, our main objective is to guide investigators in selecting the most suitable platforms for their research needs.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Haematologica
Haematologica 医学-血液学
CiteScore
14.10
自引率
2.00%
发文量
349
审稿时长
3-6 weeks
期刊介绍: Haematologica is a journal that publishes articles within the broad field of hematology. It reports on novel findings in basic, clinical, and translational research. Scope: The scope of the journal includes reporting novel research results that: Have a significant impact on understanding normal hematology or the development of hematological diseases. Are likely to bring important changes to the diagnosis or treatment of hematological diseases.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信