Project description:Multimodal profiling of 500,000 memory T cells from a tuberculosis cohort identifies cell state associations with demographics, environment, and disease
Project description:Multimodal profiling of 500,000 memory T cells from a tuberculosis cohort identifies cell state associations with demographics, environment, and disease
Project description:We profiled peripheral memory T cells from donors with prior TB disease or latent infection to identify cell states associated with disease or other demographic and environmental variables. For higher-resolution definition of T cell states, we performed CITE-seq to measure single-cell mRNA and surface expression of 31 key memory T cell proteins, integrated these modalities, and quantified asssociations with variables of interest.
Project description: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 active versus latent infection with Mycobacterium tuberculosis. Transcriptomic profiling using RNA sequencing was performed on memory CD4 T cells isolated from individuals with active TB (at diagnosis and 2 months post treatment), latent TB, as well as from TB negative healthy controls. Overall, we found specific gene signatures for each cohort that could successfully discriminate between individuals with active TB at diagnosis, treated active TB, latent TB and healthy controls.
Project description:Whole genome microarray expression profiling was employed to identify differential gene expression profiles characteristic of tuberculosis patients in the South-Indian cohort. Whole blood samples were extracted from tuberculosis patients at the time of diagnosis and from healthy controls. The experiment served to validate computational predictions from a meta-analysis study of host transcriptional profiles in tuberculosis.
Project description: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.