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Biology subjects

Finn, E. H.

Publications and source records attributed to Finn, E. H..

3 recordsLinked to original sources

Nuclear position modulates long-range chromatin interactions

The human genome is non-randomly organized within the cell nucleus. Spatial mapping of genome folding by biochemical methods and imaging has revealed extensive variation in locus interaction frequencies between cells in a population and between homologs within an individual cell. Commonly used mapping approaches typically examine either the relative position of genomic sites to each other or the position of individual loci relative to nuclear landmarks. Whether the frequency of specific chromatin-chromatin interactions is affected by where in the nuclear space a locus is located is unknown. Here, we have simultaneously mapped at the single cell level the interaction frequencies and radial position of more than a hundred locus pairs using high-throughput imaging to ask whether the location within the nucleus affects interactions frequency. We find strong enrichment of many interactions at specific radial positions. Position-dependency of interactions was cell-type specific, correlated with local chromatin type, and cell-type-specific enriched associations were marked by increased variability, sometimes without a significant decrease in mean spatial distance. These observations demonstrate that genome organization relative to itself and relative to nuclear landmarks are closely interwoven. Significance StatementA genes nuclear environment is defined by its distance to other genes as well as its distance to nuclear structures such as the nuclear periphery. While both of these features have been shown to be important for gene function, they are often studied separately. We performed the first systematic analysis comparing these two features. We determined that at the level of single chromosomes they are correlated, suggesting that genome organization relative to itself and relative to nuclear landmarks are closely interwoven.

cell biology↗

Large-scale mapping of positional changes of hypoxia-responsive genes upon activation

Chromosome structure and nuclear organization are important factors in the regulation of gene expression. Transcription of a gene is influenced by local and global chromosome features such as condensation status and histone modifications. The relationship between the position of a gene in the cell nucleus and its activity is less clear. Here, we used high-throughput imaging to perform a large-scale analysis of the spatial location of a set of nearly 100 hypoxia-inducible genes to determine whether their location within the nucleus is correlated with their activity state upon stimulation. Radial distance analysis demonstrated that the majority of HIF- and CREB-inducible hypoxia responsive genes are located in the intermediate region of the nucleus. Radial position of numerous responsive genes changed upon hypoxic treatment. Analysis of the relative distances amongst a subset of HIF target gene groups revealed that some gene pairs also altered their relative location to each other upon hypoxic treatment, suggesting higher order chromatin rearrangements. While these changes in location occurred in response to hypoxic activation of the target genes, they did not correlate with the extent of their activation. These results suggest that induction of the hypoxia-responsive gene expression program is accompanied by spatial alterations of the genome, but that radial and relative gene positions are not directly related to gene activity.

cell biology↗

Integrative Genome Modeling Platform reveals essentialityof rare contact events in 3D genome organizations

A multitude of sequencing-based and microscopy technologies provide the means to unravel the relationship between the three-dimensional (3D) organization of genomes and key regulatory processes of genome function. However, it remains a major challenge to systematically integrate all available data sources to characterize the nuclear organization of genomes across different spatial scales. Here, we develop a multi-modal data integration approach to produce genome structures that are highly predictive for nuclear locations of genes and nuclear bodies, local chromatin compaction, and spatial segregation of functionally related chromatin. By performing a quantitative assessment of the predictive power of genome structures generated from different data combinations, we demonstrate that multimodal data integration can compensate for systematic errors and missing values in some of the data and thus, greatly increases accuracy and coverage of genome structure models. We also show that alternative combinations of different orthogonal data sources can converge to models with similar predictive power. Moreover, our study reveals the key contributions of low-frequency inter-chromosomal contacts (e.g., "rare" contact events) to accurately predicting the global nuclear architecture, including the positioning of genes and chromosomes. Overall, our results highlight the benefits of multi-modal data integration for genome structure analysis, available through the Integrative Genome structure Modeling (IGM) software package that we introduce here.

biophysics↗