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This study uses single-cell sequencing to analyze peripheral immune cell changes in Parkinson's disease patients, identifying key immune signatures and potential biomarkers.

The paper generates hiPSC lines from patients with extreme polygenic scores for QT interval to study LQTS genetic and cellular complexity.

This study investigates how B cell stimulation affects the structure and organization of the inactive X chromosome, revealing dynamic changes in TAD boundaries and Xi compaction.

The paper identifies a nonsense mutation in the Lcn2 gene in a rat model of T2D but finds it does not significantly associate with T2D onset.

This study combines genomic and phenomic selection in corn breeding using single-kernel NIRS to improve predictive accuracy and reduce genotyping costs.

The paper analyzes trait persistence in laying hens from 70 to 92 weeks, identifying traits with stable genetic variance and those requiring alternative selection strategies.

This paper develops machine learning models to predict neurodevelopmental disorder risk genes using single-cell RNA-seq data and inheritance patterns, achieving high predictive accuracy.

EasyOmics provides a user-friendly R Shiny interface for population-scale omics data association, integration, and visualization without requiring advanced programming skills.

The paper assesses learning and memory in Drosophila using multiple methods and finds limited correlation between olfactory and place learning, suggesting context-dependent genetic factors.

This study identifies essential genes in the mating-type locus of Cryptococcus neoformans, showing that four genes are essential for viability while MYO2 is critical for pathogenicity despite not being essential.

The paper investigates the homie insulator in Drosophila to understand its substructure and functional properties, revealing that specific sub-elements contribute to different insulating and long-range pairing activities.

The paper benchmarks ARG estimation methods for their performance in estimating population-mean polygenic score histories using simulated data.

The paper assesses the functional impact of RET pathogenic variants in Hirschsprung disease by analyzing their effects on cell proliferation and migration in a neural crest-derived cell line.

The paper investigates crossover suppression in Drosophila pericentromeric regions by analyzing mutations affecting the synaptonemal complex and recombination factors, finding that these factors are critical for suppressing crossovers in heterochromatin.

This study identifies genetic loci associated with opioid use disorder-related behaviors in rats using a genome-wide association approach and network-based clustering.

This study investigates the role of MutL complexes in Arabidopsis meiosis, showing that MUS81 can partially compensate for MutL{gamma} loss and that crossover interference is reduced in mlh1 mutants.

The paper introduces scGeneHE, a method to estimate cis-heritability from scRNA-seq data, reducing false positives in eGene detection.

The paper evaluates and optimizes single-cell RNA isoform sequencing by analyzing artifacts from three platforms and introducing methods to reduce their impact.

The paper analyzes the population genetic structure of Mueller's pearlside across the North Atlantic and Mediterranean using SNP data, revealing habitat-driven differentiation and temperature-related genetic patterns.

This study quantifies protein expression in rat brains, identifies pQTLs, and links them to behavioral traits and human disorders.