{"title":"The promising application of cell-cell interaction analysis in cancer from single-cell and spatial transcriptomics","authors":"Xinyi Wang , Axel A. Almet , Qing Nie","doi":"10.1016/j.semcancer.2023.07.001","DOIUrl":null,"url":null,"abstract":"<div><p>Cell-cell interactions instruct cell fate and function. These interactions are hijacked to promote cancer development. Single-cell transcriptomics and spatial transcriptomics have become powerful new tools for researchers to profile the transcriptional landscape of cancer at unparalleled genetic depth. In this review, we discuss the rapidly growing array of computational tools to infer cell-cell interactions from non-spatial single-cell RNA-sequencing and the limited but growing number of methods for spatial transcriptomics data. Downstream analyses of these computational tools and applications to cancer studies are highlighted. We finish by suggesting several directions for further extensions that anticipate the increasing availability of multi-omics cancer data.</p></div>","PeriodicalId":21594,"journal":{"name":"Seminars in cancer biology","volume":null,"pages":null},"PeriodicalIF":12.1000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Seminars in cancer biology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1044579X23001074","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 2
Abstract
Cell-cell interactions instruct cell fate and function. These interactions are hijacked to promote cancer development. Single-cell transcriptomics and spatial transcriptomics have become powerful new tools for researchers to profile the transcriptional landscape of cancer at unparalleled genetic depth. In this review, we discuss the rapidly growing array of computational tools to infer cell-cell interactions from non-spatial single-cell RNA-sequencing and the limited but growing number of methods for spatial transcriptomics data. Downstream analyses of these computational tools and applications to cancer studies are highlighted. We finish by suggesting several directions for further extensions that anticipate the increasing availability of multi-omics cancer data.
期刊介绍：
Seminars in Cancer Biology (YSCBI) is a specialized review journal that focuses on the field of molecular oncology. Its primary objective is to keep scientists up-to-date with the latest developments in this field.
The journal adopts a thematic approach, dedicating each issue to an important topic of interest to cancer biologists. These topics cover a range of research areas, including the underlying genetic and molecular causes of cellular transformation and cancer, as well as the molecular basis of potential therapies.
To ensure the highest quality and expertise, every issue is supervised by a guest editor or editors who are internationally recognized experts in the respective field. Each issue features approximately eight to twelve authoritative invited reviews that cover various aspects of the chosen subject area.
The ultimate goal of each issue of YSCBI is to offer a cohesive, easily comprehensible, and engaging overview of the selected topic. The journal strives to provide scientists with a coordinated and lively examination of the latest developments in the field of molecular oncology.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
