Alex R. DeCasien

The paper examines cell type-specific sex effects on gene expression in autism and finds a stronger overlap with autism than schizophrenia.

The paper investigates age-related X chromosome inactivation (XCI) erosion in human females using bulk and single-cell datasets, finding age-dependent escape from XCI in specific genes.

The paper shows that age and early life adversity affect DNA methylation across tissues in macaques, with distinct but overlapping patterns.

This study uses snRNA-seq to analyze age-related transcriptional changes in four brain regions across young and aged individuals, identifying region-specific age-associated genes and biological processes.

The paper investigates how sex-biased gene expression influences sex differences in gene essentiality using CRISPR screens and transcriptomic data.

The paper shows that inflammatory signaling affects LRRK2 regulation differently in human and mouse models, highlighting species-specific regulatory mechanisms.

The paper investigates how variation in X chromosome inactivation escape across genes and tissues influences sex-biased gene expression in humans.

This study profiles 5.3 million cells from 55 rhesus macaques across their lifespan to map age-related changes in brain cell types and identify molecular signatures linked to aging and Alzheimer's disease.

This study identifies generalizable glial states across multiple neurodegenerative diseases using integrative single-cell transcriptomic analysis of multi-region atlases.

The paper examines gene expression changes in tumors with altered sex chromosome complements and finds associations with poorer survival and reduced sex-based gene expression differences.

The paper quantifies sex differences in human cortical volume by separating contributions from surface area and thickness, and links these to genetic and hormonal factors using neuroimaging data.

This study identifies sex-biased gene expression patterns across multiple cortical regions and cell types in the human brain using single-cell transcriptomics.

The paper analyzes functional divergence between X and Y gametologs across human tissues and finds that evolutionary distance correlates with functional divergence and sex-biased biology.

The paper analyzes transcriptomic differences in human brain cells with nine high-risk neuropsychiatric CNVs compared to non-carriers, finding widespread gene expression disruptions and shared functional pathways.

The paper analyzes sex-biased gene expression in rhesus macaque brains to understand its evolutionary and biomedical implications, finding similarities with human patterns and associations with neurodevelopmental disorders.

The paper creates a single-cell multi-omic atlas of the rhesus macaque brain, identifying cell-type-specific regulatory elements and providing insights into brain evolution and disease.

This paper integrates multiscale cortical biology by generating spatially dense gene expression maps from postmortem data, revealing transcriptional zones linked to microstructure and neuroimaging features.