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Updated: Aug 5, 2026

CRISPR-mediated Loss of Function Analysis in Cerebellar Granule Cells Using In Utero Electroporation-based Gene Transfer
Published on: June 9, 2018
Gene regulatory innovations from transposable elements in primate cerebellum development
Tetsuya Yamada1, Mari Sepp2,3, Ioannis Sarropoulos4,5,6
1Center for Molecular Biology of Heidelberg University (ZMBH), DKFZ-ZMBH Alliance, Heidelberg, Germany. t.yamada@zmbh.uni-heidelberg.de.
Transposable elements drive gene regulatory innovation in the primate brain. These mobile DNA sequences are co-opted into cell-type-specific gene regulatory networks, influencing gene expression during development.
Area of Science:
- Genomics
- Neuroscience
- Evolutionary Biology
Background:
- Transposable elements (TEs) are mobile DNA sequences implicated in genome evolution.
- Their role in cell-type-specific gene regulatory innovation, particularly in primate brain development, is not well understood.
Purpose of the Study:
- To investigate the contribution of TEs to cell-type-specific gene regulation in the primate cerebellum.
- To identify mechanisms of TE co-option into gene regulatory networks and their impact on evolution.
Main Methods:
- Single-cell multiomics data from human, macaque, marmoset, and mouse cerebella.
- A deep-learning model to predict cell-type-specific chromatin accessibility.
- Systematic assessment of TE co-option potential into gene regulatory networks.
Main Results:
- TE contributions vary across cell types due to constraints and preferential co-option.
- Twelve TE subfamilies with ancestral regulatory sequences were identified as having high co-option potential.
- Preservation of ancestral sequences and active chromatin environments determine TE accessibility.
- Lineage-specific accessible TEs contribute to human-specific gene expression.
Conclusions:
- Transposable elements are flexibly co-opted into cell-type-specific gene regulatory networks.
- TEs play a significant role in mammalian regulatory evolution and cell-type differentiation.
- A generalizable framework was introduced for analyzing TE contributions to regulatory evolution.
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