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Published on: February 16, 2015
A role for the Stentor syntaxin protein in post-wound cell survival
Ambika V Nadkarni1,2, Ulises Diaz2, Ramon Rodriguez1
1Department of Mecshanical Engineering, Stanford University, Stanford, CA.
Molecular Biology of the Cell
|July 15, 2026
Summary
Single-celled organisms like Stentor coeruleus require rapid wound repair for survival. A syntaxin gene is crucial for cell membrane repair and osmotic balance, with its deficiency leading to cell death.
Area of Science:
- Cell biology
- Regenerative medicine
- Single-cell biology
Background:
- Wound repair is vital for both multicellular tissues and single cells.
- Rapid plasma membrane repair is critical for the survival of single-celled organisms like Stentor coeruleus.
- Understanding novel molecular pathways in wound healing can provide insights into broader biological processes.
Purpose of the Study:
- To identify novel molecular pathways involved in wound healing in the ciliate Stentor coeruleus.
- To investigate the role of specific genes in cellular repair mechanisms.
- To establish a model system for discovering new wound healing biology.
Main Methods:
- Targeted RNA interference (RNAi)-based genetic screen.
- Microsurgical wounding using a microfluidic guillotine for reproducible bisection.
- Analysis of cell survival rates and cellular defects post-wounding.
Main Results:
- A Stentor syntaxin gene was identified as essential for post-wounding cell survival.
- Syntaxin-deficient cells exhibited significantly lower survival rates (~37%) compared to controls (~98%).
- Syntaxin deficiency led to susceptibility to hypoosmotic shock, vacuolar defects, and eventual cell death, partially rescued by sorbitol treatment.
Conclusions:
- Stentor syntaxin is necessary for maintaining membrane fusion machinery and osmotic homeostasis during wound repair.
- Syntaxin-deficient cells demonstrate defects in membrane repair and osmotic regulation, impacting survival.
- This study offers a framework for exploring wound healing mechanisms in diverse model systems.
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