Joachim De Jonghe, James W Opzoomer, Amaia Vilas-Zornoza, Benedikt S Nilges, Peter Crane, Marco Vicari, Hower Lee, David Lara-Astiaso, Torsten Gross, Jörg Morf, Kim Schneider, Juliana Cudini, Lorenzo Ramos-Mucci, Dylan Mooijman, Katarína Tiklová, Sergio Marco Salas, Christoffer Mattsson Langseth, Nachiket D Kashikar, Denis Schapiro, Joakim Lundeberg, Mats Nilsson, Alex K Shalek, Adam P Cribbs, Jake P Taylor-King
{"title":"scTrends: A living review of commercial single-cell and spatial 'omic technologies.","authors":"Joachim De Jonghe, James W Opzoomer, Amaia Vilas-Zornoza, Benedikt S Nilges, Peter Crane, Marco Vicari, Hower Lee, David Lara-Astiaso, Torsten Gross, Jörg Morf, Kim Schneider, Juliana Cudini, Lorenzo Ramos-Mucci, Dylan Mooijman, Katarína Tiklová, Sergio Marco Salas, Christoffer Mattsson Langseth, Nachiket D Kashikar, Denis Schapiro, Joakim Lundeberg, Mats Nilsson, Alex K Shalek, Adam P Cribbs, Jake P Taylor-King","doi":"10.1016/j.xgen.2024.100723","DOIUrl":null,"url":null,"abstract":"<p><p>Understanding the rapidly evolving landscape of single-cell and spatial omic technologies is crucial for advancing biomedical research and drug development. We provide a living review of both mature and emerging commercial platforms, highlighting key methodologies and trends shaping the field. This review spans from foundational single-cell technologies such as microfluidics and plate-based methods to newer approaches like combinatorial indexing; on the spatial side, we consider next-generation sequencing and imaging-based spatial transcriptomics. Finally, we highlight emerging methodologies that may fundamentally expand the scope for data generation within pharmaceutical research, creating opportunities to discover and validate novel drug mechanisms. Overall, this review serves as a critical resource for navigating the commercialization and application of single-cell and spatial omic technologies in pharmaceutical and academic research.</p>","PeriodicalId":72539,"journal":{"name":"Cell genomics","volume":"4 12","pages":"100723"},"PeriodicalIF":11.1000,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11701258/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell genomics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.xgen.2024.100723","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Understanding the rapidly evolving landscape of single-cell and spatial omic technologies is crucial for advancing biomedical research and drug development. We provide a living review of both mature and emerging commercial platforms, highlighting key methodologies and trends shaping the field. This review spans from foundational single-cell technologies such as microfluidics and plate-based methods to newer approaches like combinatorial indexing; on the spatial side, we consider next-generation sequencing and imaging-based spatial transcriptomics. Finally, we highlight emerging methodologies that may fundamentally expand the scope for data generation within pharmaceutical research, creating opportunities to discover and validate novel drug mechanisms. Overall, this review serves as a critical resource for navigating the commercialization and application of single-cell and spatial omic technologies in pharmaceutical and academic research.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
