{"title":"通过单细胞表达谱解读人类肿瘤生物学","authors":"I. Tirosh, M. Suvà","doi":"10.1146/ANNUREV-CANCERBIO-030518-055609","DOIUrl":null,"url":null,"abstract":"Human tumors are complex ecosystems where diverse cancer and noncancer cells interact to determine tumor biology and response to therapies. Genomic and transcriptomic methods have traditionally profiled these intricate ecosystems as bulk samples, thereby masking individual cellular programs and the variability among them. Recent advances in single-cell profiling have paved the way for studying tumors at the resolution of individual cells, providing a compelling strategy to bridge gaps in our understanding of human tumors. Here, we review methodologies for single-cell expression profiling of tumors and the initial studies deploying them in clinical contexts. We highlight how these studies uncover new biology and provide insights into drug resistance, stem cell programs, metastasis, and tumor classifications. We also discuss areas of technology development in single-cell genomics that provide new tools to address key questions in cancer biology. These emerging studies and technologies have the potential to revolutionize our understanding and management of human malignancies.","PeriodicalId":54233,"journal":{"name":"Annual Review of Cancer Biology-Series","volume":" ","pages":""},"PeriodicalIF":4.7000,"publicationDate":"2019-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1146/ANNUREV-CANCERBIO-030518-055609","citationCount":"38","resultStr":"{\"title\":\"Deciphering Human Tumor Biology by Single-Cell Expression Profiling\",\"authors\":\"I. Tirosh, M. Suvà\",\"doi\":\"10.1146/ANNUREV-CANCERBIO-030518-055609\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Human tumors are complex ecosystems where diverse cancer and noncancer cells interact to determine tumor biology and response to therapies. Genomic and transcriptomic methods have traditionally profiled these intricate ecosystems as bulk samples, thereby masking individual cellular programs and the variability among them. Recent advances in single-cell profiling have paved the way for studying tumors at the resolution of individual cells, providing a compelling strategy to bridge gaps in our understanding of human tumors. Here, we review methodologies for single-cell expression profiling of tumors and the initial studies deploying them in clinical contexts. We highlight how these studies uncover new biology and provide insights into drug resistance, stem cell programs, metastasis, and tumor classifications. We also discuss areas of technology development in single-cell genomics that provide new tools to address key questions in cancer biology. These emerging studies and technologies have the potential to revolutionize our understanding and management of human malignancies.\",\"PeriodicalId\":54233,\"journal\":{\"name\":\"Annual Review of Cancer Biology-Series\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":4.7000,\"publicationDate\":\"2019-03-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1146/ANNUREV-CANCERBIO-030518-055609\",\"citationCount\":\"38\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annual Review of Cancer Biology-Series\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1146/ANNUREV-CANCERBIO-030518-055609\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual Review of Cancer Biology-Series","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1146/ANNUREV-CANCERBIO-030518-055609","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
Deciphering Human Tumor Biology by Single-Cell Expression Profiling
Human tumors are complex ecosystems where diverse cancer and noncancer cells interact to determine tumor biology and response to therapies. Genomic and transcriptomic methods have traditionally profiled these intricate ecosystems as bulk samples, thereby masking individual cellular programs and the variability among them. Recent advances in single-cell profiling have paved the way for studying tumors at the resolution of individual cells, providing a compelling strategy to bridge gaps in our understanding of human tumors. Here, we review methodologies for single-cell expression profiling of tumors and the initial studies deploying them in clinical contexts. We highlight how these studies uncover new biology and provide insights into drug resistance, stem cell programs, metastasis, and tumor classifications. We also discuss areas of technology development in single-cell genomics that provide new tools to address key questions in cancer biology. These emerging studies and technologies have the potential to revolutionize our understanding and management of human malignancies.
期刊介绍:
The Annual Review of Cancer Biology offers comprehensive reviews on various topics within cancer research, covering pivotal and emerging areas in the field. As our understanding of cancer's fundamental mechanisms deepens and more findings transition into targeted clinical treatments, the journal is structured around three main themes: Cancer Cell Biology, Tumorigenesis and Cancer Progression, and Translational Cancer Science. The current volume of this journal has transitioned from gated to open access through Annual Reviews' Subscribe to Open program, ensuring all articles are published under a CC BY license.