Erin Weisbart

Cell Painting in primary human hepatocytes exposed to 1,085 compounds detects bioactivity at lower concentrations than cytotoxicity assays and predicts cell-based, but not cell-free, ToxCast endpoints across feature extractors.

The paper develops a scalable workflow to reclassify variants of uncertain significance using experimental and predictive evidence, resolving 75% of VUS in 40 genes.

This paper introduces an anomaly-based representation for high-content image-based phenotypic cell profiling, improving reproducibility and classification while maintaining interpretability.

The paper identifies a mitochondrial localization phenotype in psychosis patients and uses a cell-based assay to screen for compounds and genes affecting this phenotype.

The paper presents a comprehensive genetic perturbation dataset using Cell Painting to analyze gene expression effects in human cells, revealing novel gene clusters and functional relationships.

This study shows that MYO10 knockdown in HeLa and COS7 cells reduces proliferation and migration, alters filopodia formation, and increases spreading on laminin, indicating MYO10's role in cell motility and adhesion.

The paper presents a genome-wide perturbation atlas using CRISPR-Cas9 knockouts to link genes to cellular phenotypes, identifying TMEM251/LYSET as a Golgi-resident protein involved in lysosomal enzyme trafficking.

This paper describes a postdoctoral training program in bioimage analysis, highlighting its components, outcomes, and implications for training experts in professional skills.

This study identifies genetic variants associated with cellular morphology using high-content imaging and genomic data from iPSCs.

This paper describes OME-Zarr, a cloud-optimized bioimaging file format developed through community collaboration to improve scalability and data access.

The paper updates the Cell Painting assay protocol to improve morphological profiling, finding that simplified steps and reduced stain concentrations maintain robust outputs.

Cell Painting images and profiles for 115,796 compounds in U2OS cells from 12 laboratories; 15.2% of analyzed compounds are phenotypically active, and cross-laboratory replicates cut reference-compound activity by 34%.

The paper compares morphology and gene expression data to determine their complementary roles in mapping cell states across drug perturbations.