Seth A. Ament

The paper constructs a cross-species single-cell transcriptomic atlas of hair cells across multiple vertebrates and identifies conserved and species-specific gene expression programs.

Reprocessing nine human brain datasets (2,157,582 cells, 156 donors, GW6 to adulthood) under one marker-based taxonomy yields 35 replicable cell types with cell type-specific timing of adult-like maturation.

The paper identifies a unique T-cell inflammatory signature in AGA+ schizophrenia-related disorder patients using scRNA-seq, linking it to increased severity of negative symptoms.

The paper identifies female-specific transcriptional changes in nucleus accumbens neuron subtypes under chronic social stress and highlights PI3K-Akt-mTOR signaling as a conserved pathway.

The paper compiles a large transcriptomic dataset of neocortical development and uses joint matrix decomposition to identify conserved transcriptome dynamics across mammals and developmental stages.

This study investigates the association between mosaic loss of Y chromosome (mLOY) and lung function, emphysema, and epigenetic aging in men across multiple cohorts.

The paper introduces pertTF, a transformer-based model for predicting genetic perturbation responses, showing improved performance in expression prediction and cell identity shifts across cellular contexts.

This study shows that inhibiting autophagy-lysosomal function worsens lipid metabolism reprogramming and dysfunction in microglia and monocytes after brain injury.

This study uses single-nucleus RNA sequencing to analyze CSF leukocytes after IVH, identifying distinct immune cell states and signaling networks involved in inflammation.

The paper identifies sex-biased gene expression in the juvenile rat medial amygdala associated with playfulness, showing inhibitory neurons drive this difference.

The paper identifies altered huntingtin-chromatin interactions in HD mouse models, linking them to transcriptional and epigenetic changes in striatal tissue.

The paper introduces MultiSTAAR, a statistical framework for multi-trait rare variant analysis in WGS studies, identifying new lipid trait associations in diverse populations.

This study identifies transcriptional changes in mouse VTA cell types after fentanyl self-administration using single nuclei RNA sequencing.

The paper uses single-cell genomics to reconstruct developmental trajectories of 170 neuronal subtypes in the human hypothalamus across development.

The paper identifies transcriptional and epigenetic programs driving hair cell differentiation from supporting cells in cochlear organoids and predicts novel regulatory factors.

This study examines transcriptomic changes in reward and sensory brain regions of juvenile mice exposed to perinatal fentanyl, revealing sex-specific gene expression patterns and enriched biological processes.

The paper characterizes VP Npas1+ neurons' projections, molecular identity, and role in stress response through RNA-seq and chemogenetic manipulation.

The paper describes the Neuroscience Multi-Omic Archive, a repository for single-cell transcriptomic and epigenomic data from mammalian brains, providing tools for data access and analysis.

The paper introduces a framework for detecting noncoding rare variant associations using whole-genome sequencing data, applying it to lipid traits in the TOPMed program.

The paper provides a guide to the BRAIN Initiative Cell Census Network (BICCN) data ecosystem, its tools, and resources for analyzing brain cell types across species.

The paper performs whole genome sequence analysis of plasma lipid levels in 66,329 individuals, identifying new lipid-associated alleles, including rare non-coding variants.

The paper examines how early-life inflammation affects cerebellar neuron maturation in children, finding transcriptomic changes in Purkinje and Golgi neurons linked to neurodevelopmental disorders.

This study identifies molecular and structural changes in nucleus accumbens neuron subtypes during fentanyl abstinence that mediate negative emotional behaviors.

The paper estimates heritability for height and BMI using whole-genome sequence data and finds that rare variants contribute significantly to the missing heritability.

This study identifies distinct transcriptomic, physiological, and functional properties of four VP projections and shows their opposing roles in cocaine withdrawal.

The paper compares cellular diversity in the primary motor cortex across human, marmoset, and mouse using single-nucleus transcriptomics and epigenomics, finding conserved cell types and species-specific adaptations.

The paper creates a comprehensive atlas of mouse primary motor cortex cell types using integrated transcriptomic and epigenomic data from over 600,000 samples.

The paper reports whole-genome association analyses of sleep-disordered breathing traits in the NHLBI TOPMed program, identifying rare and common variant associations.

This study performs a GWAS meta-analysis of pain susceptibility traits, identifying 99 genome-wide significant risk loci, including 62 new ones, and highlights dual neuronal and immunological etiologies.

gEAR provides a community-driven portal for multi-omic data visualization, analysis, and sharing across species and data types.