Research Insights
Research Insights section focuses on the cutting-edge and breakthrough research that is happening all over the world. Laboratories across the globe are working hard to develop drugs and therapies for various diseases and research insights directly from them add tremendous value.
Identifying Severe COVID-19 Risk Variants Modulating Enhancer Reporter Activity in Lung Cells
Common genetic variants contribute to risk for complex human diseases However despite thousands of associations variants modulating disease risk and their functional impact remain largely unknown
Multi-regional Transcriptomic Profiling Reveals Divergent Molecular Mechanisms in ALS-related Neurodegeneration
Neurodegenerative disorders including amyotrophic lateral sclerosis ALS remain largely unsolved with complex etiology yet to be fully elucidated The most common genetic cause of ALS in both familial and sporadic cases is the expansion of a hexanucleotide repeat in the Corf gene
Leveraging Bioinformatics Approaches for Drug Repositioning in Space Radiation Protection
The health effects of space radiation primarily Galactic Cosmic Rays GCRs on humans remain largely unknown with potential cardiovascular consequences posing a significant threat to astronauts
A Genomic-led Strategy to Anticipate Drug Safety Effects
Safetyrelated issues account for approximately of failures in new drug discovery programs On top of that many are discovered during postmarketing surveillance significantly limiting
Exploration of Acetylation-related Biomarkers in Osteoarthritis Through Bioinformatics Analysis
Osteoarthritis OA is characterized as a chronic degenerative disorder affecting the joints A growing body of evidence indicates that acetylation may play a role in the diseases pathogenesis However the underlying
Integrating multi-type features and knowledge graph for graded prediction of drug-induced liver injury in humans
Druginduced liver toxicity poses a threat to human health and remains a significant reason for drug withdrawal from the market Therefore early identification of druginduced liver injury DILI during drug development is crucial However
Tissue-specific Transfer Learning Improves Functional Variant and Therapeutic Target Discoveries in Breast and Prostate Cancer
DNA foundation models trained on largescale genomic and epigenetic datasets have shown promise for regulatory variant interpretation yet their application to tissuespecific contexts remain limited
DNA Oligonucleotides Block Viral Entry of SARS-CoV-2 Omicron Variants
Successful viruses including SARSCoV antagonize and evade immune detection to establish infection As population immunity to the ancestral strain has risen new variantsparticularly Omicron
Challenges and Progress in RNA Velocity: Comparative Analysis Across Multiple Biological Contexts
Singlecell RNA sequencing is revolutionizing our understanding of cell state dynamics allowing researchers to capture and quantify the transcriptomic profile of a single cell at a specific timepoint Among the computational
Supervised Deep Learning with Gene Functional Annotation for Cell Classification
Genebygene differential expression analysis is a widely used supervised approach for interpreting singlecell RNAsequencing scRNAseq data However modern scRNAseq datasets often contain
