Keri Martinowich

The paper identifies cell type-specific activity-regulated gene expression patterns in mouse hippocampal neurons using snRNA-seq and ECS, revealing divergent transcriptomic responses and enriched biological pathways.

This study shows that tyrosinase-induced neuromelanin accumulation in mouse locus coeruleus neurons causes hyperactivity, transcriptional changes, and degeneration, mimicking early stages of Alzheimer's and Parkinson's disease.

The paper characterizes the molecular landscape of the human locus coeruleus using spatially-resolved transcriptomics and single-nucleus RNA-sequencing, providing a publicly accessible resource.

Samui is a web-based tool for visualizing and annotating spatially-resolved transcriptomics data, enabling fast exploration of large images and their features.

VistoSeg processes high-resolution Visium/Visium-IF images to integrate image-derived metrics with spatial gene expression data for spatial transcriptomics analysis.

CaPTure is a scalable pipeline for analyzing calcium imaging data from cultured neurons, enabling high-throughput phenotypic discovery.

This study identifies the basolateral amygdala to lateral septum circuit as critical for regulating sociability in mice through BDNF-TrkB signaling.

The paper evaluates Nav1.8 as a therapeutic target for Pitt Hopkins Syndrome by reviewing literature and presenting data showing its inhibition normalizes neuron function and behavior in mouse models.

The paper identifies differentially expressed genes in PTSD and MDD across brain regions, highlighting shared and unique transcriptional patterns and immune-related pathways.

spatialLIBD provides an R/Bioconductor package for interactive visualization of spatially-resolved transcriptomics data from the 10x Genomics Visium platform.

The paper shows that Bdnf exon 1 expression is necessary for ECS-induced dendritic spine plasticity in piriform cortex neurons.

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

The paper uses snRNA-seq to analyze five human brain regions, identifies novel neuronal subpopulations, and links them to psychiatric and substance use risks.

This study shows that degraded stimuli impair performance in a mouse continuous performance test, mirroring human findings and supporting the translational value of the rodent model.

The paper shows that incorporating cell size parameters improves deconvolution of brain RNA-seq data, but using external cell size estimates can introduce bias.

The paper maps spatial gene expression in the human dorsolateral prefrontal cortex using spatial transcriptomics and identifies layer-specific gene expression patterns linked to neuropsychiatric disorders.

The paper identifies a distinct population of hippocampal neurons projecting to the prelimbic cortex that regulate context fear memory recall through molecular and circuit-specific mechanisms.

The paper introduces dotdotdot, a software tool for quantifying smFISH images in complex tissues, demonstrating its use in mouse neurons and human brain tissue with autofluorescence masking and machine learning for cell type prediction.

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

The paper identifies Bdnf promoter IV-expressing cells in the hippocampus and shows their role in fear expression and hippocampal-prefrontal synchrony in mice.

This study shows that BDNF from promoters I and II is essential for maternal behavior in female mice by regulating oxytocin expression and signaling through TrkB in oxytocin neurons.