{"title":"通过单细胞测序了解 CAR T 细胞疗法的反应机制：见解与挑战。","authors":"Nicholas J Haradhvala, Marcela V Maus","doi":"10.1158/2643-3230.BCD-23-0212","DOIUrl":null,"url":null,"abstract":"<p><strong>Summary: </strong>Single-cell RNA sequencing has emerged as a powerful technique to understand the molecular features of chimeric antigen receptor (CAR) T cells that associate with clinical outcomes. Here we discuss the common themes that have emerged from across single-cell studies of CAR T-cell therapy, and summarize the challenges in interpreting this complex data type.</p>","PeriodicalId":29944,"journal":{"name":"Blood Cancer Discovery","volume":" ","pages":"86-89"},"PeriodicalIF":11.5000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10905509/pdf/","citationCount":"0","resultStr":"{\"title\":\"Understanding Mechanisms of Response to CAR T-cell Therapy through Single-Cell Sequencing: Insights and Challenges.\",\"authors\":\"Nicholas J Haradhvala, Marcela V Maus\",\"doi\":\"10.1158/2643-3230.BCD-23-0212\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Summary: </strong>Single-cell RNA sequencing has emerged as a powerful technique to understand the molecular features of chimeric antigen receptor (CAR) T cells that associate with clinical outcomes. Here we discuss the common themes that have emerged from across single-cell studies of CAR T-cell therapy, and summarize the challenges in interpreting this complex data type.</p>\",\"PeriodicalId\":29944,\"journal\":{\"name\":\"Blood Cancer Discovery\",\"volume\":\" \",\"pages\":\"86-89\"},\"PeriodicalIF\":11.5000,\"publicationDate\":\"2024-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10905509/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Blood Cancer Discovery\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1158/2643-3230.BCD-23-0212\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HEMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Blood Cancer Discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1158/2643-3230.BCD-23-0212","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEMATOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
摘要：单细胞RNA测序已成为了解嵌合抗原受体（CAR）T细胞与临床结果相关的分子特征的有力技术。在此，我们将讨论 CAR T 细胞疗法单细胞研究中出现的共同主题，并总结解读这种复杂数据类型所面临的挑战。
Understanding Mechanisms of Response to CAR T-cell Therapy through Single-Cell Sequencing: Insights and Challenges.
Summary: Single-cell RNA sequencing has emerged as a powerful technique to understand the molecular features of chimeric antigen receptor (CAR) T cells that associate with clinical outcomes. Here we discuss the common themes that have emerged from across single-cell studies of CAR T-cell therapy, and summarize the challenges in interpreting this complex data type.
期刊介绍：
The journal Blood Cancer Discovery publishes high-quality Research Articles and Briefs that focus on major advances in basic, translational, and clinical research of leukemia, lymphoma, myeloma, and associated diseases. The topics covered include molecular and cellular features of pathogenesis, therapy response and relapse, transcriptional circuits, stem cells, differentiation, microenvironment, metabolism, immunity, mutagenesis, and clonal evolution. These subjects are investigated in both animal disease models and high-dimensional clinical data landscapes.
The journal also welcomes submissions on new pharmacological, biological, and living cell therapies, as well as new diagnostic tools. They are interested in prognostic, diagnostic, and pharmacodynamic biomarkers, and computational and machine learning approaches to personalized medicine. The scope of submissions ranges from preclinical proof of concept to clinical trials and real-world evidence.
Blood Cancer Discovery serves as a forum for diverse ideas that shape future research directions in hematooncology. In addition to Research Articles and Briefs, the journal also publishes Reviews, Perspectives, and Commentaries on topics of broad interest in the field.
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