Jaroslav M. Bendl

This study uses single-cell RNA sequencing to track the maturation of human choroid plexus organoids and identifies a stage-dependent window of developmental plasticity.

The paper introduces dreamlet, an R package for efficient differential expression analysis of large-scale single-cell transcriptomics data, showing improved speed and memory usage compared to existing methods.

This study performs a single-nucleus transcriptome-wide association study to identify gene-trait associations in brain disorders, revealing cell-type-specific genetic regulation and ancestry-specific patterns.

The paper constructs a single-nucleus atlas of genetic regulation in the human brain, identifying cell-type-specific regulatory effects and disease-associated genes.

The paper profiles human myeloid cells across aging and Alzheimer's disease, identifies AD-associated changes, and links GPNMB to neuroprotection via TREM2.

The paper identifies three gene regulatory states associated with cognitive resilience and pathogenesis in Alzheimer's disease using single-cell data from the dorsolateral prefrontal cortex.

This study shows taurine inhibits ApoE4 aggregation and reduces its pathophysiological effects, similar to tramiprosate and 3-sulfopropanoic acid.

The paper constructs a single-cell transcriptomic atlas of the human dorsolateral prefrontal cortex across neurodegenerative and neuropsychiatric diseases, revealing shared and distinct molecular mechanisms.

The paper develops an integrative sequencing strategy to catalog NRXN1 isoforms across human brain tissues and hiPSC organoids, revealing cell-type-specific splicing patterns and therapeutic potential of ASO targeting.

This study creates a single-nucleus transcriptomic atlas of Parkinson's disease progression, identifying cell-type-specific gene expression changes and linking them to genetic risk factors and disease stages.

The paper identifies ZBTB7A as a key regulator of MDD-specific chromatin signatures and astrocyte-mediated stress vulnerability in the orbitofrontal cortex.

The paper maps transcriptomic and chromatin accessibility profiles across 25 human brain regions and identifies genes linked to neuropsychiatric disorder risk.

This study creates a single-nucleus transcriptomic atlas of the human DLPFC across the lifespan, revealing three transcriptomic phases and ten age-related trajectories linked to neurodevelopmental and neurodegenerative disease risk.

The paper provides a public resource of single nucleus RNA sequencing data and multiscale networks from Alzheimer's disease and non-disease individuals, linking genetic variants to molecular features and revealing novel disease biology.

The paper identifies 46,802 enhancers and 164 psychiatric disorder variants with regulatory effects in the developing cortex and organoids using massively parallel reporter assays and deep learning.

The paper processes single-nuclei multi-omics data from 388 human brains to identify regulatory elements and build cell-type networks, revealing changes in aging and neuropsychiatric disorders.

The paper identifies cell-type specific chromatin accessibility QTLs and their functional impact on brain disease risk.

The paper generates a molecular neuroanatomical map of the human prefrontal cortex using spatial transcriptomics and single nucleus RNA-sequencing, revealing novel spatial domains and cell-cell interactions linked to psychiatric disorders.

This study identifies 240 novel genetic loci associated with mosaic loss of chromosome Y through a multi-ancestry GWAS of the Million Veteran Program and UK Biobank.

DeepGAMI improves phenotype prediction from multimodal data by integrating biological knowledge and imputing missing modalities, outperforming existing methods and providing interpretable insights.

The paper profiles gene expression and chromatin accessibility in 45,549 cortical nuclei across 6 developmental timepoints to study cell fate determination and neuropsychiatric disease mechanisms.

This study investigates the 3D genome organization in human brain development, finding differences in compartment and loop domain formation between neurons and glia.

This study identifies 64 new risk loci for major depression, refines its genetic architecture, and shows strong genetic overlap with other psychiatric disorders and educational attainment.

This study maps chromatin accessibility in Alzheimer's disease using ATAC-seq, identifying regulatory changes and 3D genomic alterations linked to disease.

The paper identifies population-level variation in enhancer expression in the human brain and links enhancer eQTL to schizophrenia heritability.

The paper identifies regulatory mechanisms for 21 Alzheimer's disease risk loci in human microglia using transcriptome and chromatin accessibility profiling.

This study identifies common genetic variants influencing intrinsic brain networks using rsfMRI data from 44,190 individuals, finding associations with cognitive and clinical traits.

The paper identifies acetylated chromatin domains associated with dysfunction in schizophrenia and bipolar disorder by analyzing histone modifications in prefrontal cortex samples.

The paper performs a trans-ethnic eQTL meta-analysis to identify regulatory variants and candidate causal genes for brain-related traits.

This study examines sex differences in schizophrenia gene expression using RNA-seq data from 437 controls and 341 cases, finding small effect sizes and reproducible signatures involving X/Y-linked genes and synaptic pathways.