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Mouse transcriptome reveals novel signatures of protection and pathogenesis in human tuberculosis [blood]

ABSTRACT: Mouse transcriptome reveals novel signatures of protection and pathogenesis in human tuberculosis [blood]

PROVIDER: PRJNA564534 | ENA |

REPOSITORIES: ENA

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Mouse transcriptome reveals potential signatures of protection and pathogenesis in human tuberculosis [blood array]

Project description:Mouse transcriptome reveals potential signatures of protection and pathogenesis in human tuberculosis [blood array]

| PRJNA591703 | ENA

Mouse transcriptome reveals novel signatures of protection and pathogenesis in human tuberculosis [blood]

Project description:Characterisation of blood and lung global transcriptional responses to Mycobacterium tuberculosis infection in distinct mouse models of Tuberculosis

2020-01-09 | GSE137092 | GEO

Mouse transcriptome reveals novel signatures of protection and pathogenesis in human tuberculosis [lung]

Project description:Mouse transcriptome reveals novel signatures of protection and pathogenesis in human tuberculosis [lung]

| PRJNA564540 | ENA

Mouse transcriptome reveals signatures of protection and pathogenesis in human tuberculosis

Project description:Mouse transcriptome reveals signatures of protection and pathogenesis in human tuberculosis

| PRJNA591578 | ENA

Mouse transcriptome reveals novel signatures of protection and pathogenesis in human tuberculosis [lung]

Project description:Characterisation of blood and lung global transcriptional responses to Mycobacterium tuberculosis infection in distinct mouse models of Tuberculosis

2020-01-09 | GSE137093 | GEO

Mouse transcriptome reveals potential signatures of protection and pathogenesis in human tuberculosis [blood array]

Project description:Characterisation of blood and lung global transcriptional responses to Mycobacterium tuberculosis infection in distinct mouse models of Tuberculosis

2020-01-09 | GSE140943 | GEO

Mouse transcriptome reveals potential signatures of protection and pathogenesis in human tuberculosis [lung array]

Project description:Mouse transcriptome reveals potential signatures of protection and pathogenesis in human tuberculosis [lung array]

| PRJNA591702 | ENA

Mouse transcriptome reveals potential signatures of protection and pathogenesis in human tuberculosis [lung array]

Project description:Characterisation of blood and lung global transcriptional responses to Mycobacterium tuberculosis infection in distinct mouse models of Tuberculosis

2020-01-09 | GSE140944 | GEO

BCG vaccination of mice elicits transcriptional changes in blood that predict protection against M.tb. challenge

Project description:Although BCG has been used for almost 100 years to immunize against Mycobacterium tuberculosis, TB remains a global public health threat. Numerous clinical trials are underway studying novel vaccine candidates and strategies to improve or replace BCG, but vaccine development still lacks a well-defined set of immune correlates to predict vaccine-induced protection against tuberculosis. This study aimed to address this gap by examining transcriptional responses to BCG vaccination in C57BL/6 inbred mice, coupled with protection studies using Diversity Outbred mice. We evaluated relative gene expression in blood obtained from vaccinated mice, because blood is easily accessible and data can be translated to human studies. We first determined that the average peak time after vaccination is 14 days for gene expression of a small subset of immune-related genes in inbred mice. We then performed global transcriptomic analyses using whole blood samples obtained two weeks after mice were vaccinated with BCG. Using comparative bioinformatic analyses and qRT-PCR validation, we developed a working correlate panel of 18 genes that were highly correlated with administration of BCG but not heat-killed BCG. We then tested this gene panel using BCG-vaccinated Diversity Outbred mice and revealed associations between the expression of a subset of genes and disease outcomes after aerosol challenge with M. tuberculosis. These data therefore demonstrate that blood-based transcriptional immune correlates measured within a few weeks after vaccination can be derived to predict protection against M. tuberculosis, even in outbred populations.

2022-09-05 | GSE212586 | GEO

Antigen-stimulated PBMC transcriptional signatures of protection upon malaria sporozoite and RTS,S/AS01E immunizations

Project description:Identifying immune correlates of protection and mechanisms of immunity accelerates and streamlines the development of vaccines. RTS,S/AS01E, the most advanced malaria vaccine, has moderate efficacy in African children. In contrast, immunization with sporozoites under antimalarial chemoprophylaxis (CPS immunization) can provide 100% sterile protection in naïve adults. We used systems biology approaches to identify correlates of vaccine-induced immunity based on transcriptomes of peripheral blood mononuclear cells from subjects immunized with RTS,S/AS01E or chemo-attenuated sporozoites stimulated with parasite antigens in vitro. Specifically, we used samples of subjects from two age cohorts and 3 African countries participating in an RTS,S/AS01E pediatric phase 3 trial and malaria-naïve subjects participating in a CPS trial. We identified both pre-immunization and post-immunization transcriptomic signatures correlating with protection. Signatures were validated in independent children and infants from the RTS,S/AS01E phase 3 trial and subjects from an independent CPS trial with high accuracies (>70%). Transcription modules revealed interferon, NF-B, TLR, and monocyte-related signatures associated with protection. Pre-immunization signatures suggest the potential for strategies to prime the immune system before vaccination towards improving vaccine immunogenicity and efficacy. Finally, signatures of protection could be useful to determine efficacy in clinical trials, accelerating vaccine candidate testing. Nevertheless, signatures should be tested more extensively across multiple cohorts and trials to demonstrate their universal predictive capacity.

2020-05-13 | GSE144826 | GEO

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