Biology subjects

Johnson, K. E.

Publications and source records attributed to Johnson, K. E..

4 recordsLinked to original sources

bioRxiv2018

Signals of variation in human mutation rate at multiple levels of sequence context

Our understanding of mutation rate helps us build evolutionary models and make sense of genetic variation. Recent work indicates that the frequencies of specific mutation types have been elevated in Europe, and that many more, subtler signatures of global polymorphism variation may yet remain unidentified. Here, we present an analysis of the 1,000 Genomes Project (phase 3), suggesting additional putative signatures of mutation rate variation across populations and the extent to which they are shaped by local sequence context. First, we compiled a list of the most significantly variable polymorphism types in a cross-continental statistical test. Clustering polymorphisms together, we observed four sets of substitution types that showed similar trends of relative mutation rate across populations, and describe the patterns of these mutational clusters among continental groups. For the majority of these signatures, we found that a single flanking base pair of sequence context was sufficient to determine the majority of enrichment or depletion of a mutation type. However, local genetic context up to 2-3 base pairs away contributes additional variability, and helps to interpret a previously noted enrichment of certain polymorphism types in some East Asian groups. Building our understanding of mutation rate in this way can help us to construct more accurate evolutionary models and better understand the mechanisms that underlie genetic change.

genomics↗

bioRxiv2018

Inhibition of thrombocyte activation restores protective immunity to mycobacterial infection

Infection-induced thrombocytosis is a clinically important complication of tuberculosis (TB). Recent studies have separately highlighted a correlation of platelet activation with TB severity and utility of aspirin as a host-directed therapy for TB that modulates the inflammatory response. Here we investigate the possibility that the beneficial effects of aspirin are related to an anti-platelet mode of action. We utilize the zebrafish-Mycobacterium marinum model to show mycobacteria drive host hemostasis through the formation of granulomas. Treatment of infected zebrafish with aspirin or platelet-specific glycoprotein IIb/IIIa inhibitors reduced mycobacterial burden demonstrating a detrimental role for infection-induced thrombocyte activation. We found platelet inhibition reduced thrombocyte-macrophage interactions and restored indices of macrophage-mediated immunity to mycobacterial infection. Pathological thrombocyte activation and granuloma formation were found to be intrinsically linked illustrating a bidirectional relationship between host hemostasis and TB pathogenesis. Our study illuminates platelet activation as an efficacious target of anti-platelets drugs including aspirin, a widely available and affordable host-directed therapy candidate for tuberculosis.\n\nKey PointsO_LIInhibition of thrombocyte activation improves control of mycobacterial infection.\nC_LIO_LIInhibition of thrombocyte activation reduces thrombocyte-macrophage interactions and improves indices of macrophage immune function against mycobacterial infection.\nC_LI

immunology↗

bioRxiv2017

A multi-state model of chemoresistance to characterize phenotypic dynamics in breast cancer

The development of resistance to chemotherapy is a major cause of treatment failure in breast cancer. Although several molecular mechanisms of chemotherapeutic resistance are well studied, a quantitative understanding of the dynamics of resistant subpopulations within a heterogeneous tumor cell population remains elusive. While mathematical models describing the dynamics of heterogeneous cancer cell populations have been proposed, few have been experimentally validated due to the complex nature of resistance that limits the ability of a single phenotypic marker to sufficiently isolate drug resistant subpopulations. In this work, we address this problem with a combined experimental and modeling system that uses drug sensitivity data to reveal the composition of multiple subpopulations differing in their level of drug resistance. We calibrate time-resolved dose-response data to three mathematical models to interrogate the models ability to capture the dynamics of drug. All three models demonstrated an increase in population level resistance following drug exposure. The candidate models were compared by Akaike information criterion and the model selection criteria identified a multi-state model incorporating the role of population heterogeneity and cellular plasticity. To validate the ability of this model to identify the composition of subpopulations, we mixed wild-type MCF-7 and MCF-7/ADR resistant cells at various proportions and evaluated the corresponding model output. Our blinded two-state model was able to estimate the proportions of cell subtypes, with the measured proportions falling within the 95 percent confidence intervals on the parameter estimations and at an R-squared value of 0.986. To the best of our knowledge, this contribution represents the first work to combine experimental time-resolved drug sensitivity data with a mathematical model of resistance development.

systems biology↗

bioRxiv2017

Patterns of shared signatures of recent positive selection across human populations

Scans for positive selection in human populations have identified hundreds of sites across the genome with evidence of recent adaptation. These signatures often overlap across populations, but the question of how often these overlaps represent a single ancestral event remains unresolved. If a single positive selection event spread across many populations, the same sweeping haplotype should appear in each population and the selective pressure could be common across diverse populations and environments. Identifying such shared selective events would be of fundamental interest, pointing to genomic loci and human traits important in recent history across the globe. Additionally, genomic annotations that recently became available could help attach these signatures to a potential gene and molecular phenotype that may have been selected across multiple populations. We performed a scan for positive selection using the integrated haplotype score on 20 populations, and compared sweeping haplotypes using the haplotype-clustering capability of fastPHASE to create a catalog of shared and unshared overlapping selective sweeps in these populations. Using additional genomic annotations, we connect these multi-population sweep overlaps with potential biological mechanisms at several loci, including potential new sites of adaptive introgression, the glycophorin locus associated with malarial resistance, and the alcohol dehydrogenase cluster associated with alcohol dependency.

genetics↗