five

Transcriptomic profile of circulating memory T cells can differentiate between latent tuberculosis individuals and healthy controls

收藏
NIAID Data Ecosystem2026-03-14 收录
下载链接:
https://www.ncbi.nlm.nih.gov/sra/SRP078560
下载链接
链接失效反馈
官方服务:
资源简介:
Tuberculosis (TB) is responsible for the majority of mortality and morbidity associated with infectious diseases worldwide. The characterization of exact molecular components of immune response associated with protection against TB may help design more effective therapeutic interventions. In this study, we aimed to characterize the immune signature of memory T cells associated with latent infection with Mycobacterium tuberculosis. Transcriptomic profiling using RNA sequencing was performed on memory CD4 and CD8 T cells isolated from individuals with latent tuberculosis, as well as from tuberculosis negative healthy controls. Overall, we found specific gene signatures in each cell subset that could successfully discriminate between individuals with latent tuberculosis and healthy controls. Overall design: RNA-sequencing of sorted memory CD4 and CD8 T cells from cryopreserved PBMC of 10 subjects with latent tuberculosis infection and 10 tuberculosis negative healthy controls
创建时间:
2023-01-11
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作