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Barnett, J.

Publications and source records attributed to Barnett, J..

3 recordsLinked to original sources

Tissue-specific mutagenesis from endogenous guanine damageis suppressed by Polκ and DNA repair

Knowledge of mutational patterns has expanded significantly, but a persistent challenge is to link these complex patterns to the underlying molecular mechanism or source of DNA damage, especially when that damage is endogenous and not driven by environmental mutagens. Technological advances now allow us to catalogue mutation across tissues or even closely related cell types, but the results are largely descriptive until we identify the endogenous sources of mutation and how they differ across tissues. Here, we combine mouse genetics, advanced sequencing, biochemistry and mass spectrometry to provide a detailed mechanistic understanding of endogenous mutagenesis. We reveal that endogenous guanine adducts are significant drivers of tissue-specific mutagenesis, while the interwoven actions of DNA polymerase Pol{kappa} and DNA repair mechanisms are pivotal in mitigating mutagenesis. For the first time, we use untargeted DNA adductomics to characterize new sources of endogenous DNA damage. Our novel approach to understanding endogenous mutational landscapes reveals previously unseen mutational processes and points to vast potential for new discoveries.

molecular biology↗

The transition from a non-westernized to westernized gut microbiome in Indian-Immigrants and Indo-Canadians is associated with dietary acculturation

Indian immigration to westernized countries has recently surged, increasing their risk of Inflammatory Bowel Disease (IBD) post-migration. While crucial for understanding IBD risk, the gut microbiome remains understudied in Indians. This cross-sectional study examines the gut microbiomes of Indians residing in India, Indo-Immigrants, and Indo-Canadians in comparison to Euro-Canadian and Euro-Immigrant controls to understand the impact of westernization on their gut. Stool samples for 16S rRNA and shotgun sequencing assessed microbial taxa and functional profiles, complemented by dietary and demographic data to evaluate lifestyle patterns. Results revealed distinct microbiotas in Indians and Indo-Immigrants compared to control groups, with high abundances of Prevotella spp. and CAZymes reflecting their high complex carbohydrate diet. Indo-Canadians exhibited a transitional microbiome towards westernization, mirroring increasing dietary acculturation. Considering 44% of Canadians are first- and second-generation immigrants and the global adoption of westernized practices, future research should investigate the health implications of such microbiome transitions in immigrant populations and newly industrialized nations.

microbiology↗

ImmunoTyper-SR: A Novel Computational Approach for Genotyping Immunoglobulin Heavy Chain Variable Genes using Short Read Data

Human immunoglobulin heavy chain (IGH) locus on chromosome 14 includes more than 40 functional copies of the variable gene (IGHV), which, together with the joining genes (IGHJ), diversity genes (IGHD), constant genes (IGHC) and immunoglobulin light chains, code for antibodies that identify and neutralize pathogenic invaders as a part of the adaptive immune system. Because of its highly repetitive sequence composition, the IGH locus has been particularly difficult to assemble or genotype through the use of standard short read sequencing technologies. Here we introduce ImmunoTyper-SR, an algorithmic method for genotype and CNV analysis of the germline IGHV genes using Illumina whole genome sequencing (WGS) data. ImmunoTyper-SR is based on a novel combinatorial optimization formulation that aims to minimize the total edit distance between reads and their assigned IGHV alleles from a given database, with constraints on the number and distribution of reads across each called allele. We have validated ImmunoTyper-SR on 12 individuals with Illumina WGS data from the 1000 Genomes Project, whose IGHV allele composition have been studied extensively through the use of long read and targeted sequencing platforms, as well as nine individuals from the NIAID COVID Consortium who have been subjected to WGS twice. We have then applied ImmunoTyper-SR on 585 samples from the NIAID COVID Consortium to investigate associations between distinct IGHV alleles and anti-type I IFN autoantibodies which have been linked to COVID-19 severity.

bioinformatics↗