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Updated: Oct 1, 2025

A Simple Method to Identify Kinases That Regulate Embryonic Stem Cell Pluripotency by High-throughput Inhibitor Screening
Published on: May 12, 2017
A novel high throughput screen to identify candidate molecular networks that regulate spermatogenic stem cell
Tessa Lord1,2,3, Nathan C Law1, Melissa J Oatley1
1School of Molecular Biosciences, Center for Reproductive Biology, College of Veterinary Medicine, Washington State University, Pullman, WA, USA.
A new high-throughput screening platform aids in understanding male fertility by identifying key factors like ZSCAN2, crucial for spermatogonial regeneration after injury.
Area of Science:
- Reproductive Biology
- Molecular Genetics
- Cellular Biology
Background:
- Male fertility depends on spermatogenic regeneration, driven by undifferentiated spermatogonia.
- Understanding the molecular mechanisms regulating spermatogonial function is critical for fertility research.
Purpose of the Study:
- To develop a high-throughput screening platform for assessing spermatogonial functional capacity.
- To identify novel molecular regulators of spermatogonial regenerative functions.
Main Methods:
- Primary mouse spermatogonial cultures were used for a high-throughput screening platform.
- A large-scale RNAi screen of transcription factors was conducted.
- Pathway analysis, single-cell RNA sequencing, and Zscan2 knockout mouse models were employed.
Main Results:
- A SRCAP-CREBBP/EP300 complex was identified, mediating histone acetylation levels in spermatogonia.
- The previously undescribed transcription factor ZSCAN2 was found to be regulated by this complex and influences self-renewal genes.
- ZSCAN2 deficiency impaired spermatogonial regeneration and affected processes like translation and chromatin modification.
Conclusions:
- The high-throughput screening approach is validated as a tool for uncovering mechanisms in spermatogonial function.
- ZSCAN2 plays a significant role in spermatogonial regenerative capacity, particularly after cytotoxic damage.
- The generated transcription factor database offers insights into male fertility regulation.
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