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Blake, J. A.

Publications and source records attributed to Blake, J. A..

3 recordsLinked to original sources

Lung epithelial progenitor-mediated release of TGF-β regulates induction and persistence of lung CD8+ TRM cells following mucosal BCG vaccination

A principal reason for the high global morbidity and mortality of tuberculosis (TB) is the lack of efficacy of the only licensed TB vaccine, Bacillus Calmette-Guerin (BCG), as parenteral BCG does not induce local pulmonary immune memory. Animal studies have shown that mucosal BCG vaccination provides superior protection against TB due to generation of lung resident memory T cells (TRM). Here, we demonstrated that following mucosal vaccination with the genetically modified virulent BCG strain, BCG::RD1, distal airway epithelial progenitors were mobilized to assist with restoration of alveolar epithelium. By way of their migration-mediated activation of latent TGF-{beta}, lung CD8+ TRM differentiation was induced. Mucosal vaccinations using nonvirulent strains of BCG in which airway epithelial progenitors were not mobilized, as well as genetic inhibition of migration-mediated activation of TGF-{beta}, resulted in significantly lower numbers of lung CD8+ TRM. In addition, we discovered CD8+ cells with ex-lung and stem-like TRM phenotypes that persisted in the lung-draining mediastinal lymph nodes for up to four months following mucosal BCG vaccination. These results link airway epithelial progenitor-mediated repair of injured lung tissue with induction of resident T cell memory and delineate why persistence of TRM in the lung is short-lived. These findings may explain why mucosal vaccination with virulent BCG strains is more protective against TB and thus have notable implications for future TB vaccine development. One Sentence SummaryFollowing lung damage due to inhalation of virulent BCG, distal airway epithelial progenitor cells interact with lung CD8+ T cells to induce their differentiation into resident memory T cells via migration-mediated activation of TGF-{beta}.

immunology↗

Investigation of COVID-19 comorbidities reveals genes and pathways coincident with the SARS-CoV-2 viral disease

The emergence of the SARS-CoV-2 virus and subsequent COVID-19 pandemic initiated intense research into the mechanisms of action for this virus. It was quickly noted that COVID-19 presents more seriously in conjunction with other human disease conditions such as hypertension, diabetes, and lung diseases. We conducted a bioinformatics analysis of COVID-19 comorbidity-associated gene sets, identifying genes and pathways shared among the comorbidities, and evaluated current knowledge about these genes and pathways as related to current information about SARS-CoV-2 infection. We performed our analysis using GeneWeaver (GW), Reactome, and several biomedical ontologies to represent and compare common COVID-19 comorbidities. Phenotypic analysis of shared genes revealed significant enrichment for immune system phenotypes and for cardiovascular-related phenotypes, which might point to alleles and phenotypes in mouse models that could be evaluated for clues to COVID-19 severity. Through pathway analysis, we identified enriched pathways shared by comorbidity datasets and datasets associated with SARS-CoV-2 infection.

bioinformatics↗

TOWARDS A GLOBAL SUPPORT OF CORE DATA RESOURCES FOR THE LIFE SCIENCES

On November 18-19, 2016, the Human Frontier Science Program Organization (HFSPO) hosted a meeting of senior managers of key data resources and leaders of several major funding organizations to discuss the challenges associated with sustaining biological and biomedical (i.e., life sciences) data resources and associated infrastructure. A strong consensus emerged from the group that core data resources for the life sciences should be supported through a coordinated international effort(s) that better ensure long-term sustainability and that appropriately align funding with scientific impact. Ideally, funding for such data resources should allow for access at no charge, as is presently the usual (and preferred) mechanism. Below, the rationale for this vision is described, and some important considerations for developing a new international funding model to support core data resources for the life sciences are presented.

scientific communication and education↗