Accession PRJCA010491
Title Landscape of Exhausted T cells in Tuberculosis
Relevance Medical
Data types Single cell sequencing
Organisms Homo sapiens
Description To obtain a panoramic transcriptional profile of T-cell profiles, we performed a single-cell RNA sequencing analysis on 45,019 cells isolated from healthy individuals and tuberculosis patients.
Sample scope Single cell
Release date 2023-02-14
Publication
PubMed ID Article title Journal name DOI Year
36916943 Landscape of Exhausted T Cells in Tuberculosis Revealed by Single-Cell Sequencing Microbiology Spectrum 10.1128/spectrum.02839-22 2023
Grants
Agency program Grant ID Grant title
National Natural Science Foundation of China (NSFC) General Program 82072330
Submitter Guoqing Wang (qing@jlu.edu.cn)
Organization Jilin University
Submission date 2022-07-12

Project Data

Resource name Description
BioSample (8)  show -