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The paper identifies region-specific laminar gene expression patterns in language-related cortical areas and links them to structural connectivity and dyslexia risk.

This paper introduces a method to align single-cell RNA data across species and tissues using adversarial learning, revealing common cell types like macrophages and fibroblasts.

The paper uses long-read RNA-seq to study splicing changes in an Alzheimer's mouse model, identifying novel transcript isoforms and alternative splicing events in response to amyloid-beta.

The paper assesses genetic health across Indian rhino populations to inform translocation strategies and management solutions for long-term survival.

The paper identifies functional regulatory SNPs in SLE risk loci by testing their impact on transcription factor binding and gene expression.

The paper investigates testicular mosaicism in non-mosaic Klinefelter Syndrome patients, finding that spermatogonia are euploid while surrounding Sertoli cells show karyotype differences between prepubertal and postpubertal stages.

This study uses CUT&Tag-Direct to analyze histone modifications in microglia across brain regions, revealing region-specific transcriptional networks and epigenetic signatures.

This study shows BRCA1/BRC-1 and SMC-5/6 regulate DNA repair pathways during C. elegans meiosis, limiting intersister crossover and error-prone repair.

The paper improves whole genome sequence quality using pedigree information and reference genotypic profiles, demonstrating the approach in apple genomes.

This study evaluates 74 phylogenetic summary statistics through simulation to assess their relationship to epidemiological quantities and computational efficiency, offering guidelines for their use in genomic epidemiology.

This paper demonstrates a computer vision method to estimate mouse body mass from video data with 4.8% error, enabling noninvasive and continuous monitoring.

ALL-Sum improves polygenic risk prediction by combining efficient summary statistic-based regression with ensembling, outperforming existing methods in accuracy, speed, and memory usage.

This paper improves trans-ancestral polygenic risk scores by integrating tissue-specific functional genomic data, showing better predictive accuracy across multiple traits.

This study identifies the IFNγ pathway's role in accelerating iPSC reprogramming and X-chromosome reactivation through STAT3 signaling and TET-mediated demethylation.

This study identifies and characterizes rRNA variants in human tissues and cancer, revealing tissue-specific ribosome subtypes and cancer-specific ribosome variations.

The paper analyzes single-nucleus RNA sequencing data from rat nucleus accumbens medium spiny neurons to identify transcriptomic subtypes and their potential roles in substance use disorders.

This study tests two CRISPR-Cas9 gene drives in Ae. aegypti cage populations, showing they increase in frequency and exhibit super-Mendelian inheritance.

The paper compares the brightness and maturation time of new red fluorescent tags in C. elegans and finds mScarlet-I3 outperforms older versions and is comparable to GFP.

The paper develops a method to infer strain composition in microbial mixed cultures using natural SNPs as barcodes, validated on Coccidioides posadasii isolates and applied to GWAS.

This study examines genetic indicators in marginal and core populations of maritime pine, finding reduced genetic diversity and increased differentiation with geographic marginality, but no correlation between inbreeding and marginality.