Richard E. Straub

Automated high-throughput patch clamp electrophysiology of hiPSC-derived neuronal models

This paper introduces automated high-throughput patch clamp electrophysiology methods for hiPSC-derived neurons, enabling efficient analysis of voltage-gated sodium channels and pharmacological responses.

scMeFormer: a transformer-based deep learning model for imputing DNA methylation states in single cells enhances the detection of epigenetic alterations in schizophrenia

DeepMosaic: Control-independent mosaic single nucleotide variant detection using deep convolutional neural networks

DeepMosaic detects mosaic single nucleotide variants without control samples using deep convolutional neural networks, achieving high accuracy and uncovering many variants missed by existing methods.

Somatic mosaicism in the mature brain reveals clonal cellular distributions during cortical development

The paper evaluates brain somatic mosaicism in the adult human to identify rules governing cellular distribution during embryogenesis.

Electrophysiological measures from human iPSC-derived neurons are associated with schizophrenia clinical status and predict individual cognitive performance

The paper identifies electrophysiological measures in hiPSC-derived neurons linked to schizophrenia diagnosis and cognitive performance.

Identifying Nootropic Drug Targets via Large-Scale Cognitive GWAS and Transcriptomics

This paper identifies potential nootropic drug targets by integrating large-scale cognitive GWAS and transcriptomic data to find credible druggable genes.

Comprehensive identification of somatic nucleotide variants in human brain tissue

This study identifies somatic SNVs in non-cancerous human brain tissues and establishes best practices for detecting low-frequency variants.

Machine learning reveals bilateral distribution of somatic L1 insertions in human neurons and glia

The paper introduces a machine learning method to detect somatic L1 insertions in human brain tissue, revealing their widespread distribution in neurons and glia and potential role in neuropsychiatric diseases.

Dissecting transcriptomic signatures of neuronal differentiation and maturation using iPSCs

The paper uses hiPSC transcriptomics to study neuronal differentiation and maturation across multiple conditions and develops a tool to estimate neuronal maturity.

Pleiotropic Meta-Analysis of Cognition, Education, and Schizophrenia Differentiates Roles of Early Neurodevelopmental and Adult Synaptic Pathways

The paper uses pleiotropic meta-analysis to identify genetic loci associated with cognition, education, and schizophrenia, revealing distinct biological mechanisms for concordant and discordant genetic correlations.

Regional heterogeneity in gene expression, regulation and coherence in hippocampus and dorsolateral prefrontal cortex across development and in schizophrenia

The paper identifies regional differences in gene expression and regulation in hippocampus and dorsolateral prefrontal cortex across development and in schizophrenia using RNA-seq data from 900 samples.

Identification and prioritization of gene sets associated with schizophrenia risk by co-expression network analysis in human brain

This study identifies and prioritizes gene sets linked to schizophrenia risk using co-expression network analysis in human brain data, highlighting modules associated with diagnosis and polygenic risk scores.

Developmental And Genetic Regulation Of The Human Cortex Transcriptome In Schizophrenia

The paper identifies 237 genes associated with schizophrenia using RNA sequencing and eQTL analysis, showing enrichment for developmentally regulated synaptic genes.

GWAS meta-analysis (N=279,930) identifies new genes and functional links to intelligence

This study identifies 206 new genomic loci and 1,041 genes associated with intelligence using a large GWAS meta-analysis of 279,930 individuals.

Placental gene expression mediates the interaction between obstetrical history and genetic risk for schizophrenia

The paper shows that placental gene expression mediates the interaction between obstetrical history and genetic risk for schizophrenia, with ELCs enhancing PRS effects.

Large-Scale cognitive GWAS Meta-analysis Reveals Tissue-Specific Neural Expression and Potential Nootopic Drug Targets

This study performs a large-scale GWAS of cognitive ability, identifies 70 genomic loci, and finds tissue-specific gene expression and potential drug targets.