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Sauria, M. E.

Publications and source records attributed to Sauria, M. E..

2 recordsLinked to original sources

QuASAR: Quality Assessment of Spatial Arrangement Reproducibility in Hi-C Data

Hi-C has revolutionized global interrogation of chromosome conformation, however there are few tools to assess the reliability of individual experiments. Here we present a new approach, QuASAR, for measuring quality within and between Hi-C samples. We show that QuASAR can detect even tiny fractions of noise and estimate both return on additional sequencing and quality upper bounds. We also demonstrate QuASAR's utility in measuring replicate agreement across feature resolutions. Finally, QuASAR can estimate resolution limits based on both internal and replicate quality scores. QuASAR provides an objective means of Hi-C sample comparison while providing context and limits to these measures.

bioinformatics

Chromosome Conformation Paints Reveal The Role Of Lamina Association In Genome Organization And Regulation

Non-random, dynamic three-dimensional organization of the nucleus is important for regulation of gene expression. Numerous studies using chromosome conformation capture strategies have uncovered ensemble organizational principles of individual chromosomes, including organization into active (A) and inactive (B) compartments. In addition, large inactive regions of the genome appear to be associated with the nuclear lamina, the so-called Lamina Associated Domains (LADs). However, the interrelationship between overall chromosome conformation and association of domains with the nuclear lamina remains unclear. In particular, the 3D organization of LADs within the context of the entire chromosome has not been investigated. In this study, we describe \"chromosome conformation paints\" to determine the relationship in situ between LAD and non-LAD regions of the genome in single cells. We find that LADs organize into constrained and compact regions at the nuclear lamina, and these findings are supported by an integrated analysis of both DamID and Hi-C data. Using a refined algorithm to identify active (A) and inactive (B) compartments from Hi-C data, we demonstrate that the LADs correspond to the B compartment. We demonstrate that in situ single cell chromosome organization is strikingly predicted by integrating both Hi-C and DamID data into a chromosome conformation model. In addition, using the chromosome conformation paints, we demonstrate that LAD (and B-compartment) organization is dependent upon both chromatin state and Lamin A/C. Finally, we demonstrate that small regions within LADs escape the repressive regime at the peripheral zone to interact with the A-compartment and are enriched for both transcription start sites (TSSs) and active enhancers.

cell biology