Jens Hjerling‐Leffler

A novel key player in cognitive striatal processes: the Pthlh interneurons

This study identifies Pthlh-expressing interneurons in the striatum as critical for cognitive functions through genetic and functional analyses in mice.

Cell Type Specific Inference of Perturbations in Synaptic Communication with MultiNeuronChat

MultiNeuronChat identifies cell type-specific communication perturbations in Alzheimer's disease using single-nucleus RNA-seq data and a database of synaptic molecules.

Genomic analyses reveal new insights into Alzheimer's disease

This study identifies 118 new genetic loci associated with Alzheimer's disease across diverse ancestries and discovers 48 novel risk loci, including those enriched in neuronal cell types.

Benchmarking methods integrating GWAS and single-cell transcriptomic data for mapping trait-cell type associations

This paper benchmarks 20 methods for mapping trait-cell type associations by integrating GWAS and scRNA-seq data, finding CATCH to be the most robust approach.

Transcriptomic and genetic analysis suggests a role for mitochondrial dysregulation in schizophrenia

This study integrates genetic analysis with single nucleus RNA-seq to identify cell-type specific transcriptomic perturbations in schizophrenia, highlighting mitochondrial dysfunction and protein modification as key factors.

Identifying patterns differing between high-dimensional datasets with generalized contrastive PCA

This paper introduces gcPCA, a hyperparameter-free method for comparing high-dimensional datasets, demonstrating its utility in detecting hippocampal replay and type II diabetes heterogeneity.

Connecting genomic results for psychiatric disorders to human brain cell types and regions reveals convergence with functional connectivity

The paper integrates genomic data with single-cell transcriptomics to identify brain cell types and regions associated with psychiatric disorders and traits.

Transcriptional maintenance of cortical somatostatin interneuron subtype identity during migration

This study investigates the role of Sox6 in maintaining somatostatin interneuron subtype identity during migration, finding that its removal reduces subtype diversity in the mature cortex.

Transcriptional diversity in synaptic gene sets is sufficient to discriminate cortical neuronal identity

The paper identifies synaptic gene sets that can discriminate cortical neuronal identities with the same power as all genes, revealing functional categories and compartments with cell type-specific expression.

Single cell transcriptomics reveals correct developmental dynamics and high-quality midbrain cell types by improved hESC differentiation.

This study improves human embryonic stem cell differentiation into midbrain dopaminergic neurons using specific factors and reveals developmental dynamics and high-quality cell types through single-cell RNA-sequencing.

Heterogeneous somatostatin-expressing neuron population in mouse ventral tegmental area

The paper identifies three distinct subtypes of somatostatin-expressing neurons in the mouse ventral tegmental area, revealing their heterogeneity in electrophysiological, morphological, and molecular properties.

A spatial atlas of inhibitory cell types in mouse hippocampus

The paper introduces pciSeq to map inhibitory neurons in mouse hippocampus CA1, identifying 16 interneuron classes with spatial arrangement matching ground truth.

Activin receptor ALK4 coordinates extracellular signals and intrinsic transcriptional programs to regulate development of cortical somatostatin interneurons

This study shows that ALK4 signaling integrates extracellular signals with intrinsic transcriptional programs to regulate the development of somatostatin interneurons in the cortex.

Transcriptomic correlates of electrophysiological and morphological diversity within and across neuron types

The paper identifies gene expression correlations with electrophysiological and morphological traits across neuron types, distinguishing class-driven from within-class relationships.

Conditional GWAS analysis identifies putative disorder-specific SNPs for psychiatric disorders

This study uses conditional GWAS analysis to identify disorder-specific SNPs for psychiatric disorders, finding some variants with reduced pleiotropy effects.

Genome-wide Analysis of Insomnia (N=1,331,010) Identifies Novel Loci and Functional Pathways

This study identifies 202 genome-wide significant loci for insomnia using a large sample, linking them to specific brain cell types and pathways.

Integrative analysis of rare variants and pathway information shows convergent results between immune pathways, drug targets and epilepsy genes

The paper introduces a Bayesian framework to prioritize risk genes for complex diseases by integrating gene-set information with variant counts, identifying novel epilepsy risk genes and linking them to immune pathways and drug targets.

Molecular architecture of the mouse nervous system

The paper maps cell types in the mouse nervous system using single-cell RNA sequencing and identifies distinct astrocyte and oligodendrocyte subtypes with specific molecular and spatial characteristics.

Single-cell transcriptomic profiling of progenitors of the oligodendrocyte lineage reveals transcriptional convergence during development

The paper uses single-cell transcriptomics to show that embryonic Pdgfra+ cells give rise to OPCs with convergent transcriptional profiles in different CNS regions.

GWAS Meta-Analysis of Neuroticism (N=449,484) Identifies Novel Genetic Loci and Pathways

This study conducts a large GWAS meta-analysis of neuroticism, identifying 136 novel genetic loci and 599 genes, with functional insights into brain regions and pathways.

Classes and continua of hippocampal CA1 inhibitory neurons revealed by single-cell transcriptomics

The paper uses single-cell transcriptomics to analyze hippocampal CA1 inhibitory neurons, revealing both discrete classes and continuous variation in their diversity.

Genetic Identification Of Brain Cell Types Underlying Schizophrenia

The paper maps schizophrenia-associated genomic loci to specific brain cell types using single-cell RNA-sequencing data, finding consistent enrichment in pyramidal cells, medium spiny neurons, and interneurons.

Functional consequences of genetic loci associated with intelligence in a meta-analysis of 87,740 individuals

The paper identifies brain cell types and genes associated with intelligence using GWAS and single-cell gene expression data from a large cohort.

Genetic meta-analysis identifies 9 novel loci and functional pathways for Alzheimers disease risk

This study identifies 9 novel genetic loci and 215 potential causative genes associated with Alzheimer's disease risk through a large genome-wide association analysis.

Integrated Bayesian analysis of rare exonic variants to identify risk genes for schizophrenia and neurodevelopmental disorders

The paper uses Bayesian modeling to analyze rare exonic variants in schizophrenia and neurodevelopmental disorders, identifying 1,551 risk genes for schizophrenia and 98 new risk genes for developmental disorders.