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Updated: Feb 7, 2026

Fate Mapping of Human Embryonic Stem Cells by Teratoma Formation
Published on: August 1, 2010
Mapping the Genetic Landscape of Human Cells
Max A Horlbeck1, Albert Xu1, Min Wang2
1Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94158, USA; California Institute for Quantitative Biomedical Research, University of California, San Francisco, San Francisco, CA 94158, USA.
This study maps human genetic interactions (GIs) using CRISPR interference, revealing gene functions and unexpected pathway links. The findings establish GI maps as a powerful tool for understanding cellular genetics.
Area of Science:
- Genetics
- Molecular Biology
- Systems Biology
Background:
- Genetic interactions (GIs) are crucial for understanding gene function, as demonstrated in yeast.
- Previous human cell studies used limited gene sets, leaving large-scale GI mapping feasibility unresolved.
Purpose of the Study:
- To develop and implement a CRISPR interference platform for large-scale, quantitative mapping of human GIs.
- To create a comprehensive human GI map for functional genomics and pathway discovery.
Main Methods:
- Systematic perturbation of 222,784 gene pairs in two cancer cell lines using a CRISPR interference platform.
- Quantitative analysis of genetic interaction data to build functional gene networks.
Main Results:
- Generated large-scale human GI maps that successfully cluster functionally related genes.
- Assigned functions to poorly characterized genes, such as identifying TMEM261 as an electron transport chain component.
- Discovered novel pathway relationships, including a link between cholesterol biosynthesis and DNA damage response via the ATR/9-1-1 pathway.
Conclusions:
- Human GI maps are a high-resolution tool for dissecting gene function and uncovering complex biological relationships.
- The developed platform and generated map serve as a blueprint for future large-scale genetic landscape studies in human cells.
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