Gennady Margolin

This study shows that elevated temperature worsens arrhythmia and seizures in a zebrafish model of Timothy syndrome, suggesting fever may increase risk for TS patients.

The paper introduces a weighted averaging approach for differential expression analysis in single cell and spatial RNASeq to reduce false positives and negatives without assuming data distributions.

This study identifies and characterizes specialized endothelial cells in zebrafish gills that resemble mammalian lung aerocytes, using single-cell RNA sequencing and advanced imaging techniques.

This paper identifies DNA methylation biomarker panels for multi-cancer detection and tissue-of-origin classification using blood samples, achieving high sensitivity and low false positive rates.

The paper shows that parp1 deletion rescues cerebellar hypotrophy in xrcc1 mutant zebrafish, suggesting PARP1 inhibition could be therapeutic for neurological disorders.

The paper introduces an EpiTag zebrafish transgenic reporter to visualize epigenetic silencing/activation and identifies tissue-specific epigenetic regulatory genes through mutagenesis screening.

The paper uses a novel transgenic reporter to study epigenetic reprogramming during zebrafish fin regeneration, identifying early chromatin remodeling events and key factors required for regeneration.

This paper characterizes the zebrafish meninges using single-cell transcriptomics, identifying a novel cell type essential for brain development.

This study examines the role of srrm4 in zebrafish neural development and finds minimal phenotypic effects from mutations.

This study examines how cortical neurons respond to mild TBI, identifying ATF3 as a marker for stress-responsive neurons and showing that layer V neurons die while layer II/III neurons survive.

The paper introduces a zebrafish transgenic line to profile endothelial cell translatomes in vivo, revealing novel genes and expression signatures across adult organs.

A 489,686-cell scRNA-seq atlas of 62 zebrafish stages (3.3–120 hpf) identifies 90 multi-tissue gene programs and markers for pericyte subtypes, intestinal smooth muscle layers, and best4+ enterocytes.

This paper develops EpiClass, a methylation density-based classifier that improves the performance of blood-based DNA methylation biomarkers in detecting ovarian cancer by leveraging locus-specific epigenetic heterogeneity.