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Homo sapiens

ABSTRACT: Transcriptomic profile of circulating memory CD4 T cells can differentiate between latent tuberculosis individuals and healthy controls

OTHER RELATED OMICS DATASETS IN: GSE84445

PROVIDER: PRJNA388214 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR5619760.fastq.gz	Fastqsanger.gz
	SRR5619770.fastq.gz	Fastqsanger.gz
	SRR5619780.fastq.gz	Fastqsanger.gz
	SRR5619790.fastq.gz	Fastqsanger.gz
	SRR5619800.fastq.gz	Fastqsanger.gz

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Transcriptomic profile of circulating memory T cells can differentiate between latent tuberculosis individuals 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.

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Transcriptomic profile of circulating memory CD4 T cells can differentiate between latent tuberculosis individuals 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.

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Homo sapiens

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

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Project description:Transcriptomic profile of circulating memory CD8 T cells can differentiate between latent tuberculosis individuals and healthy controls

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Transcriptomic profile of circulating memory CD4 T cells in active versus latent 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 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.

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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.

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Project description:For further identify the differentiation between latent and clinical tuberculosis (TB), we employed whole genome microarray expression profiling to study genes with significant expression change in peripheral CD4+T cells between healthy control, latent tuberculosis (LTB) and clinical tuberculosis (TB). Our experiment included 4 groups: healthy donor (HD), latent TB1 (LTB1) with low IFN-gamma release level, latent TB2 (LTB2) with high IFN-gamma release level, and tuberculosis (TB) with high IFN-gamma release level. Human peripheral blood mononuclear cells were collected, from which CD4+T cells were isolated. Total RNA of each individuals of each group was extracted from peripheral CD4+T cells. One ?g of RNA mixture, pooled equivalently by each individual total RNA of each group, was administrated microarray test. Compared with HD, through analyzing enriched-Gene Ontology (GO) terms and KEGG pathways of each group, we found peripheral CD4+T cells might had different ability for mycobacterium tuberculosis infection in LTB1, LTB2 and TB. Finally we detected that TNFSF13/APRIL and TNFSF13B/BAFF was significant up-regulation in both CD4+T cells and serum of TB by real time PCR and ELISA, respectively. Peripheral CD4+ T cells were purified by positive selection using magnetic beads (BD IMagTM anti-human CD4 Particles-DM, BD Biosciences). Total RNA was extracted from CD4+ T cells (CD4-RNA) of LTB1, LTB2 and TB patients and healthy controls by RNeasy Mini Kit (QIAGEN).Then, RNA quality was checked and mixed with an equal quantity of each individual. The number of included-individuals in each group was 11 for HD, 11 for LTB1, 12 for LTB2 and 11 for TB.

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