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An Automated Imaging-Based Screen for Genetic Modulators of ER Organisation in Cultured Human Cells
M Elena Garcia-Pardo1, Jeremy C Simpson2, Niamh C O'Sullivan1
1UCD School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, 4 Dublin, Ireland.
Cells
|April 12, 2024
Summary
Hereditary spastic paraplegias (HSPs) involve disrupted pyramidal systems. This study introduces a quantitative screen to analyze endoplasmic reticulum (ER) organization changes, identifying key genes impacting neuronal health.
Area of Science:
- Neuroscience
- Cell Biology
- Genetics
Background:
- Hereditary spastic paraplegias (HSPs) are inherited neurological disorders primarily affecting motor neurons.
- Endoplasmic reticulum (ER) morphogenesis is a critical cellular function implicated in HSP pathogenesis.
- Existing methods for studying ER morphology are largely qualitative, limiting detailed analysis.
Purpose of the Study:
- To develop and apply a quantitative, image-based screening method for analyzing ER organization.
- To identify genetic modifiers that influence ER structure and function in mammalian cells.
- To investigate the impact of HSP-associated genes on ER morphology.
Main Methods:
- Utilized a mammalian cell culture system for high-content screening.
- Employed siRNA-mediated knockdown of HSP-causing genes, including ATL1 and RTN2.
- Developed automated, quantitative image analysis to assess ER distribution (tubular and sheet structures).
Main Results:
- Identified significant quantitative alterations in tubular and dense sheet ER organization.
- Demonstrated the impact of ATL1 and RTN2 gene knockdown on ER morphology.
- Validated the effectiveness of the quantitative screening approach.
Conclusions:
- The developed quantitative screen provides a novel, high-content method for studying ER organization.
- Findings highlight the critical role of ER structure in motor neuron survival and HSP.
- This approach can identify genes influencing ER morphology and potentially uncover new therapeutic targets for HSP.

