{"title":"Key Considerations on CITE-Seq for Single-Cell Multiomics.","authors":"Hye-Wong Song, Jody Martin, Xiaoshan Shi, Aaron J Tyznik","doi":"10.1002/pmic.202400011","DOIUrl":null,"url":null,"abstract":"<p><p>CITE-Seq (Cellular Indexing of Transcriptomes and Epitopes by Sequencing) is an advanced single-cell sequencing method to profile both gene expression and protein abundance simultaneously in individual cells using single-cell mRNA sequencing techniques alongside antibody-derived tags (ADTs), for protein detection. The characterization of both the transcriptome and the proteome from the same cells provides a powerful and multiomic approach for understanding the mechanisms of complex biological processes. This review focuses on the workflow of CITE-Seq using a microwell-based single-cell analysis system as an example and provides key considerations for staining cells with ADTs. By highlighting critical information for CITE-Seq library preparation, sequencing, and data analysis, this review provides a practical guide with which to perform comprehensive CITE-Seq workflow.</p>","PeriodicalId":224,"journal":{"name":"Proteomics","volume":" ","pages":"e202400011"},"PeriodicalIF":3.4000,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proteomics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1002/pmic.202400011","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
CITE-Seq (Cellular Indexing of Transcriptomes and Epitopes by Sequencing) is an advanced single-cell sequencing method to profile both gene expression and protein abundance simultaneously in individual cells using single-cell mRNA sequencing techniques alongside antibody-derived tags (ADTs), for protein detection. The characterization of both the transcriptome and the proteome from the same cells provides a powerful and multiomic approach for understanding the mechanisms of complex biological processes. This review focuses on the workflow of CITE-Seq using a microwell-based single-cell analysis system as an example and provides key considerations for staining cells with ADTs. By highlighting critical information for CITE-Seq library preparation, sequencing, and data analysis, this review provides a practical guide with which to perform comprehensive CITE-Seq workflow.
期刊介绍:
PROTEOMICS is the premier international source for information on all aspects of applications and technologies, including software, in proteomics and other "omics". The journal includes but is not limited to proteomics, genomics, transcriptomics, metabolomics and lipidomics, and systems biology approaches. Papers describing novel applications of proteomics and integration of multi-omics data and approaches are especially welcome.