Robert Erne McCullumsmith

The paper characterizes a Grin1Q536R/+ mouse model carrying a GRIN1 variant, showing age- and sex-dependent behavioral and physiological changes linked to GRIN1-NDD.

This study reanalyzes RNA-seq data to show sex-specific effects of 17beta-estradiol on gene expression in human meniscal fibrochondrocytes, identifying distinct transcriptional programs in males and females.

This study identifies progressive molecular differences in depression across clinical stages using RNA-seq data, revealing shared and distinct pathways and cell-type-specific changes associated with symptom dimensions and therapeutic targets.

This study identifies an interoceptive circuit between the subfornical organ and infralimbic cortex that mediates airway inflammation's impact on fear extinction in mice.

The paper characterizes kinase signaling pathways in astrocytes and microglia, revealing cell- and sex-specific activity patterns that differ from transcriptional profiles.

This study investigates how central leptin affects energy homeostasis and metabolism in rats exposed to olanzapine, finding that leptin's effects on food intake and fat oxidation are not blocked by olanzapine.

This study shows that low-dose developmental exposure to deltamethrin disrupts molecular pathways related to circadian rhythms and MAP kinase in mouse brains, linking it to ADHD-like behaviors.

This study identifies elevated mRNA expression of AKT isotypes in schizophrenia neurons, suggesting a potential decoupling of transcript and protein levels, with sex-specific differences and involvement of related signaling components.

This paper introduces ceSAR, a method combining docking and transcriptional signature connectivity to improve drug discovery and repurposing by reducing false positives and computational costs.

This paper identifies EGFR inhibitors as potential therapeutics for noise-induced hearing loss using in silico transcriptome-based drug screening and experimental validation in zebrafish and mouse models.

This study identifies ribosomal dysregulation as a conserved mechanism in human depression and mouse chronic stress, linking stress-induced changes in ribosomal proteins and pseudogenes to synaptic dysfunction.

The paper identifies Egr3-dependent genes in mice hippocampi after ECS, finding genes related to DNA damage response and schizophrenia.

This study investigates the molecular mechanisms of psychological loss in rats using a multi-omics approach, finding changes in microglia and extracellular matrix linked to impaired emotional processing.

The paper uses sn-RNAseq data to identify cell-type-specific vulnerabilities to diseases and drugs in the anterior cingulate cortex, revealing distinct patterns of disease-state and drug effects.

The paper identifies five core protein kinases in neurons and astrocytes from familial AD patient iPSCs and examines their enriched pathways using a combination of experimental and in-silico approaches.

This study analyzes the proteomic changes in schizophrenia using postmortem brain samples and shows how antipsychotic drugs modulate these changes across multiple biological levels.

The paper integrates transcriptomic data with in-silico analyses to identify cellular, molecular, and causal pathways in trait and state depression.

The paper identifies CS6 clusters as extracellular matrix microenvironments that support coordinated multi-dendrite synaptic plasticity in response to sensory stimuli.

The paper analyzes transcriptomic data from pilocarpine-induced temporal lobe epilepsy to identify predictive biomarkers and cellular mechanisms, revealing aberrant interactions between cell types and potential drug targets.

This study examines the relationship between astrocyte subtypes, neurological and psychiatric diseases, and psychotropic medications using gene enrichment analysis and qPCR, finding that astrocytes are not a primary target of these medications.

The paper introduces 'persistence' as a metric combining protein turnover and RNA expression to improve functional insights from transcriptomics data, showing its effectiveness in schizophrenia datasets.

This study compares psychiatric disorders using pathway, cell-type, drug-target, and chromosomal analyses to identify common and distinct features across an unbiased cluster of disorders.

KRSA predicts differential kinase activity from kinome array data by analyzing phosphorylation differences and comparing results to gene expression databases.

This study identifies region-specific PSD-95 interactomes in human brain regions and links them to potential drug targets using bioinformatics and perturbagen databases.

Kaleidoscope is a web application that provides access to omics databases and tools for in silico hypothesis exploration, demonstrating its use with DISC1 gene analysis across multiple datasets.

The paper identifies lamina-specific gene expression changes in pyramidal neurons from schizophrenia patients compared to controls, highlighting immune and synaptic pathway disruptions.

This paper reviews signature-based in silico approaches for drug repurposing in CNS disorders, integrating data science platforms to improve clinical relevance and address regulatory and knowledge challenges.

The paper examines protein expression levels of prenyltransferase subunits in schizophrenia patients and finds decreased expression of FNTA, PGGT1B, and RABGGTB in the dorsolateral prefrontal cortex.

The paper identifies PPAR agonists as potential treatments for schizophrenia by analyzing bioenergetic changes in the DLPFC using bioinformatics and experimental validation.

This study shows that restoring NMDAR function in adult mice with congenital NMDAR deficiency improves cognitive behaviors, suggesting potential for adult treatment of related disorders.