five

T-cell responses to a specific antigen

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NIAID Data Ecosystem2026-03-14 收录
下载链接:
https://www.ncbi.nlm.nih.gov/sra/SRP399622
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The goal of this study is to demonstrate the ability of a novel platform to screen, identify and characterize neoantigen-specific T-cells and their receptors by combining targeted RNA-seq data on subset of T-cell specific genes and T-cell Receptor sequencing Overall design: In this study, we demonstrate the ability to use hybrid-capture based enrichment for a subset of 17 T-cell specific genes on 3' Digital Gene Expression (DGE) RNA-seq libraries. The samples processed were CD8+ T-cells enriched from blood from two independant healthy donors with each pool of CD8+ T-cells being either unstimulated (control) or stimulated with the Cytomegalovirus, Epstein-Barr Virus and Influenza Virus (CEF) control peptide pool overnight to monitor for T-cell activation.

本研究旨在展示一款新型平台的应用能力:该平台可通过结合T细胞特异性基因子集的靶向RNA测序(RNA-seq)数据与T细胞受体(T-cell Receptor, TCR)测序技术,完成新抗原特异性T细胞及其受体的筛选、鉴定与表征。整体实验设计:本研究验证了针对3'端数字基因表达(Digital Gene Expression, DGE)RNA测序文库中的17种T细胞特异性基因子集开展基于杂交捕获的富集的可行性。本次实验处理的样本为从两名独立健康供者血液中富集得到的CD8+ T细胞,每组CD8+ T细胞池均分为未刺激对照组与经巨细胞病毒、EB病毒及流感病毒(CEF)对照肽池过夜刺激的组别,以监测T细胞的激活情况。
创建时间:
2022-09-28
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