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Hi-C Chromatin Interaction Networks Predict Co-expression in the Mouse Cortex.
The three dimensional conformation of the genome in the cell nucleus influences important biological processes such as gene expression regulation. Recent studies have shown a strong correlation between chromatin interactions and gene co-expression. However, predicting gene co-expression from frequent long-range chromatin interactions remains challenging. We address this by characterizing the topology of the cortical chromatin interaction network using scale-aware topological measures. We demonstrate that based on these characterizations it is possible to accurately predict spatial co-expression between genes in the mouse cortex. Babaei et al.
Image Credit: Ms. Annelies te Selle
Citation: (2015) PLoS Computational Biology Issue Image | Vol. 11(5) May 2015. PLoS Comput Biol 11(5): ev11.i05. https://doi.org/10.1371/image.pcbi.v11.i05
Published: May 29, 2015
Copyright: © 2015 te Selle. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
The three dimensional conformation of the genome in the cell nucleus influences important biological processes such as gene expression regulation. Recent studies have shown a strong correlation between chromatin interactions and gene co-expression. However, predicting gene co-expression from frequent long-range chromatin interactions remains challenging. We address this by characterizing the topology of the cortical chromatin interaction network using scale-aware topological measures. We demonstrate that based on these characterizations it is possible to accurately predict spatial co-expression between genes in the mouse cortex. Babaei et al.
Image Credit: Ms. Annelies te Selle