Sean L. Meharry

ORCID: 0000-0001-9261-0401
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About
Contact & Profiles
Research Areas
  • Cell Image Analysis Techniques
  • Single-cell and spatial transcriptomics
  • Cellular Mechanics and Interactions
  • Advanced Fluorescence Microscopy Techniques
  • 3D Printing in Biomedical Research
  • Pluripotent Stem Cells Research

Allen Institute for Cell Science
2020-2024

Understanding how a subset of expressed genes dictates cellular phenotype is considerable challenge owing to the large numbers molecules involved, their combinatorics and plethora behaviours that they determine

10.1038/s41586-022-05563-7 article EN cc-by Nature 2023-01-04

Summary Despite the intimate link between cell organization and function, principles underlying intracellular relation organization, gene expression phenotype are not well understood. We address this by creating a benchmark for mean natural range of cell-to-cell variation. This can be used comparison to other normal or abnormal states. To do this, we developed reproducible microscope imaging pipeline generate high-quality dataset 3D, high-resolution images over 200,000 live cells from 25...

10.1101/2020.12.08.415562 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2020-12-10

The epithelial to mesenchymal transition (EMT) is a widely studied but poorly defined state change due the variety of ways in which it has been characterized cells. There need for reproducible cell model systems that enable integration and comparison different types measured observations cells across many distinct cellular contexts. We present human induced pluripotent stem (hiPS) as such system by demonstrating its utility through comparative analysis hiPS cell-EMT 2D 3D culture geometries....

10.1101/2024.08.16.608353 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2024-08-19
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