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bioRxiv · 10.1101/2020.10.11.334847

3D reconstruction of genomic regions from sparse interaction data

Mendieta-Esteban, J.·Di Stefano, M.·Castillo, D.·Farabella, I.·Marti-Renom, M. A.
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Abstract

Chromosome Conformation Capture (3C) technologies measure the interaction frequency between pairs of chromatin regions within the nucleus in a cell or a population of cells. Some of these 3C technologies retrieve interactions involving non-contiguous sets of loci, resulting in sparse interaction matrices. One of such 3C technologies is Promoter Capture Hi-C (pcHi-C) that is tailored to probe only interactions involving gene promoters. As such, pcHi-C provides sparse interaction matrices that are suitable to characterise short- and long-range enhancer-promoter interactions. Here, we introduce a new method to reconstruct the chromatin structural (3D) organisation from sparse 3C-based datasets such as pcHi-C. Our method allows for data normalisation, detection of significant interactions, and reconstruction of the full 3D organisation of the genomic region despite of the data sparseness. Specifically, it produces reliable reconstructions, in line with the ones obtained from dense interaction matrices, with as low as the 2-3% of the data from the matrix. Furthermore, the method is sensitive enough to detect cell-type-specific 3D organisational features such as the formation of different networks of active gene communities.

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Mendieta-Esteban, J., Di Stefano, M., Castillo, D., Farabella, I., Marti-Renom, M. A.. 2020-10-11. 3D reconstruction of genomic regions from sparse interaction data. https://doi.org/10.1101/2020.10.11.334847

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