Project description:Comprehensively compare the transcriptional difference in PPD stimulated PBMCs from individuals with different tuberculosis infectious status: tuberculosis patients, latent infectious individuals and healthy controls using the microarray analysis. Two-condition experiment, PBMCs vs. PPD-PBMCs. 12 individuals: 4 TB patients, 4 latent infectious individuals and 4 healthy controls.
Project description:Comprehensively compare the transcriptional difference in PPD stimulated PBMCs from individuals with different tuberculosis infectious status: tuberculosis patients, latent infectious individuals and healthy controls using the microarray analysis.
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 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.
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.
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 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.
Project description:To get to know the different levels of the microRNA among the pulmonary tuberculosis patients, latent-infected individuals and the complete healthy people, we have employed the Agilent miRNA microarray (version 2.0) as a discovery platform to identify microRNA with the potential to diagnose the TB patients and the latent infected persons. The Peripheral Blood Mononuclear Cells (PBMCs) of each group were made up of equally mixed quantity of 3 volunteers. The results showed that several microRNAs were found up- or low regulated in PBMCs of TB patients versus latent-infected individuals and similarly for latent-infected individuals versus complete healthy ones.
Project description:To get to know the different levels of the microRNA among the pulmonary tuberculosis patients, latent-infected individuals and the complete healthy people, we have employed the Agilent miRNA microarray (version 2.0) as a discovery platform to identify microRNA with the potential to diagnose the TB patients and the latent infected persons. Each group have 4 volunteers. The Peripheral Blood Mononuclear Cells (PBMCs) of each group were made up of equally mixed volumes. The results showed that several microRNAs were found up- or low regulated in PBMCs of TB patients versus latent-infected individuals and similarly for latent-infected individuals versus complete healthy ones. Each group have 4 volunteers. The PBMCs of each group were made up of equally mixed volumes after being purified.
Project description:To get to know the different levels of the microRNA among the pulmonary tuberculosis patients, latent-infected individuals and the complete healthy people, we have employed the Agilent miRNA microarray (version 2.0) as a discovery platform to identify microRNA with the potential to diagnose the TB patients and the latent infected persons. The Peripheral Blood Mononuclear Cells (PBMCs) of each group were made up of equally mixed quantity of 3 volunteers. The results showed that several microRNAs were found up- or low regulated in PBMCs of TB patients versus latent-infected individuals and similarly for latent-infected individuals versus complete healthy ones. Each group have 4 volunteers. The PBMCs of each group were made up of equally mixed volumes after being purified.each group was reated three times.
Project description:To get to know the different levels of the microRNA among the pulmonary tuberculosis patients, latent-infected individuals and the complete healthy people, we have employed the Agilent miRNA microarray (version 2.0) as a discovery platform to identify microRNA with the potential to diagnose the TB patients and the latent infected persons. Each group have 4 volunteers. The Peripheral Blood Mononuclear Cells (PBMCs) of each group were made up of equally mixed volumes. The results showed that several microRNAs were found up- or low regulated in PBMCs of TB patients versus latent-infected individuals and similarly for latent-infected individuals versus complete healthy ones.
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.