Endothelial cells (ECs) differentiate from mesodermal progenitors during vasculogenesis. By comparing changes in chromatin interactions between human umbilical vein ECs, embryonic stem cells and mesendoderm cells, we identified regions exhibiting EC-specific compartmentalization and changes in the degree of connectivity within topologically associated domains (TADs). These regions were characterized by EC-specific transcription, binding of lineage-determining transcription factors and cohesin. In addition, we identified 1200 EC-specific long-range interactions (LRIs) between TADs. Most of the LRIs were connected between regions enriched for H3K9me3 involving pericentromeric regions, suggesting their involvement in establishing compartmentalization of heterochromatin during differentiation. Second, we provide evidence that EC-specific LRIs correlate with changes in the hierarchy of chromatin aggregation. Despite these rearrangements, the majority of chromatin domains fall within a pre-established hierarchy conserved throughout differentiation. Finally, we investigated the effect of hypoxia on chromatin organization. Although hypoxia altered the expression of hundreds of genes, minimal effect on chromatin organization was seen. Nevertheless, 70% of hypoxia-inducible genes situated within a TAD bound by HIF1α suggesting that transcriptional responses to hypoxia largely depend on pre-existing chromatin organization. Collectively our results show that large structural rearrangements establish chromatin architecture required for functional endothelium and this architecture remains largely unchanged in response to hypoxia.

Motivation: In recent years, the interest in analyzing chromosome conformation by Hi-C and related techniques has grown. It has been shown that contact frequency matrices obtained by these methods correlate with other methods of measurement of activity such as transcriptomics and histone modification assays. This brings a question of testing for differential contact frequency between experiments to the field. Results: In this work, we provide a freely available software that implements two statistical methods for testing the significance of differential contact frequency in topological domains between two experiments. One method follows an empirical, permutation based approach to computing pvalues, while the other is a parametric test based on the Poisson-Binomial distribution.

Studying the 3D structure of chromosomes is an emerging field flourishing in recent years because of rapid development of experimental approaches for studying chromosomal contacts. This has led to numerous studies providing results of segmentation of chromosome sequences of different species into so called Topologically Associating Domains (TADs). As the number of such studies grows steadily and many of them make claims about the perceived differences between TAD structures observed in different conditions, there is a growing need for good measures of similarity (or dissimilarity) between such segmentations. We provide here a BP score, which is a relatively simple distance metric based on the bipartite matching between two segmentations. In this paper, we provide the rationale behind choosing specifically this function and show its results on several different datasets, both simulated and experimental. We show that not only the BP score is a proper metric satisfying the triangle inequality, but that it is providing good granularity of scores for typical situations occuring between different TAD segmentations. We also introduce local variant of the BP metric and show that in actual comparisons between experimental datasets, the local BP score is correlating with the observed changes in gene expression and genome methylation. In summary, we consider the BP score a good foundation for analysing the dynamics of chromosome structures. The methodology we present in this work could be used by many researchers in their ongoing analyses making it a popular and useful tool.

We present RNA Masonry, a computer program and a web service for a fully automated assembly of RNA fragments into geometrically plausible models fulfilling user-provided secondary structure constraints and restraints on tertiary contacts and Small Angle X-ray Scattering (SAXS) data. We illustrate the method description with its recent application to structural studies of viral RNAs with SAXS restraints. The program web server is available at http://iimcb.genesilico.pl/rnamasonry.