Tag: RNA-Seq
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Bovine Paratuberculosis RNA-Seq: Deleterious Variants Identified
Overview: Using RNA-Seq to Elucidate Genetic Susceptibility to Bovine Paratuberculosis Bovine paratuberculosis, a chronic intestinal disease caused by Mycobacterium avium subspecies paratuberculosis (MAP), poses significant economic and animal welfare challenges in cattle herds worldwide. Recent advances in RNA sequencing (RNA-Seq) enable researchers to explore the full transcriptome of affected and at-risk animals, with a focus…
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Bovine Paratuberculosis: Deleterious Variants by RNA-Seq
Understanding the Challenge: Paratuberculosis in Cattle Bovine paratuberculosis, caused by Mycobacterium avium subsp. paratuberculosis (MAP), is a chronic intestinal disease that affects dairy and beef cattle worldwide. It impairs productivity, reduces milk yield, and presents significant economic and welfare concerns for producers. While environmental and management factors influence infection, host genetics also plays a pivotal…
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Whole-transcriptome identification of deleterious variants in candidate genes linked to bovine paratuberculosis
Overview Paratuberculosis, a chronic enteric disease caused by Mycobacterium avium subspecies paratuberculosis (MAP), poses significant economic and welfare challenges in cattle. Recent advances in RNA-Sequencing (RNA-Seq) have enabled researchers to move beyond expression profiling and toward the discovery of coding sequence variants that may influence disease susceptibility. In particular, whole-transcriptome analyses can identify deleterious variants…
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ASHG 2025: Torino Reveals Hidden mRNA Isoforms Driving Disease-Related Gene Expression
Introduction: A New Lens on Gene Expression at ASHG 2025 The ASHG 2025 meeting in Turin spotlighted a transformative approach to understanding how genes express themselves in health and disease. Researchers from the University of Chicago and Columbia University presented Torino, a novel computational workflow that decodes transcript structures and expression levels directly from RNA…
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Torino: Revealing Hidden mRNA Isoforms Driving Disease at ASHG 2025
Torino Unveils Hidden Isoforms in Disease-Linked Gene Expression At the ASHG 2025 meeting, researchers from the University of Chicago and Columbia University presented Torino, an innovative computational workflow designed to decode transcript structures and quantify isoform expression directly from read coverage in biobank-scale RNA-seq data. This approach challenges the reliance on pre-existing transcript annotations and…
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Torino: Decoding Disease-Linked mRNA Isoforms Directly from Read Coverage
New Tool for Uncovering Hidden RNA Isoforms in Disease Research Researchers at the American Society for Human Genetics (ASHG) Annual Meeting have unveiled Torino, a groundbreaking computational workflow that reads RNA sequencing data in a new way. By leveraging biobank-scale RNA-seq datasets, Torino directly decodes transcript structures and expression levels from read coverage alone, bypassing…