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Conformational heterogeneity in human interphase chromosome organization reconciles the FISH and Hi-C paradox

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  • Guang Shi

    (University of Maryland)

  • D. Thirumalai

    (University of Texas at Austin)

Abstract

Hi-C experiments are used to infer the contact probabilities between loci separated by varying genome lengths. Contact probability should decrease as the spatial distance between two loci increases. However, studies comparing Hi-C and FISH data show that in some cases the distance between one pair of loci, with larger Hi-C readout, is paradoxically larger compared to another pair with a smaller value of the contact probability. Here, we show that the FISH-Hi-C paradox can be resolved using a theory based on a Generalized Rouse Model for Chromosomes (GRMC). The FISH-Hi-C paradox arises because the cell population is highly heterogeneous, which means that a given contact is present in only a fraction of cells. Insights from the GRMC is used to construct a theory, without any adjustable parameters, to extract the distribution of subpopulations from the FISH data, which quantitatively reproduces the Hi-C data. Our results show that heterogeneity is pervasive in genome organization at all length scales, reflecting large cell-to-cell variations.

Suggested Citation

  • Guang Shi & D. Thirumalai, 2019. "Conformational heterogeneity in human interphase chromosome organization reconciles the FISH and Hi-C paradox," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-11897-0
    DOI: 10.1038/s41467-019-11897-0
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    Cited by:

    1. Guang Shi & D. Thirumalai, 2023. "A maximum-entropy model to predict 3D structural ensembles of chromatin from pairwise distances with applications to interphase chromosomes and structural variants," Nature Communications, Nature, vol. 14(1), pages 1-14, December.

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