Biology subjects

Petrini, C.

Publications and source records attributed to Petrini, C..

3 recordsLinked to original sources

bioRxiv2024

Biochemical properties of chromatin domains define genome compartmentalization

Chromatin three-dimensional (3D) organization inside the cell nucleus determines the separation of euchromatin and heterochromatin domains. Their segregation results in the definition of active and inactive chromatin compartments, whereby the local concentration of associated proteins, RNA and DNA results in the formation of distinct subnuclear structures. Thus, chromatin domains spatially confined in a specific 3D nuclear compartment are expected to share similar epigenetic features and biochemical properties, in terms of accessibility and solubility. Based on this rationale, we developed the 4f-SAMMY-seq to map euchromatin and heterochromatin based on their accessibility and solubility, starting from as little as 10,000 cells. Adopting a tailored bioinformatic data analysis approach we reconstruct also their 3D segregation in active and inactive chromatin compartments and sub-compartments, thus recapitulating the characteristic properties of distinct chromatin states. A key novelty is the capability to map both the linear segmentation of open and closed chromatin domains, as well as their 3D compartmentalization in one single experiment.

genomics↗

bioRxiv2019

Early Polycomb-target deregulations in Hutchinson-Gilford Progeria Syndrome revealed by heterochromatin analysis

Hutchinson-Gilford progeria syndrome (HGPS) is characterized by the progressive accumulation of progerin, an aberrant form of Lamin A. This leads to chromatin structure disruption, in particular by interfering with Lamina Associated Domains. Although several cellular and molecular alterations have been characterized, it is still unclear how chromatin structural changes translate into premature senescence in HGPS. Moreover, early events in chromatin remodeling have not been detected so far. We developed a new high-throughput sequencing-based method, named SAMMY-seq, for genome-wide characterization of heterochromatin accessibility changes. Using SAMMY-seq, we detected early stage alterations of chromatin structure in HGPS primary fibroblasts. Of note, these structural changes do not disrupt the distribution of H3K9me3 but are associated with site-specific H3K27me3 variations and transcriptional dysregulation of Polycomb target genes. Our results show that SAMMY-seq represents a novel and sensitive tool to characterize heterochromatin alterations. Moreover, we found that the assembly of lamin associated domains is strictly connected to the correct Polycomb repression, rapidly lost in early HGPS pathogenesis.

molecular biology↗

bioRxiv2018

Interpreting coronary artery disease risk through gene-environment interactions in gene regulation

GWAS and eQTL studies identified thousands of genetic variants associated with complex traits and gene expression. Despite the important role of environmental exposures in complex traits, only a limited number of environmental factors are measured in these studies. Measuring molecular phenotypes in tightly controlled cellular environments provides a more tractable setting to study gene-environment interactions in the absence of other confounding variables.\n\nWe performed RNA-seq and ATAC-seq in endothelial cells exposed to retinoic acid, dexamethasone, caffeine, and selenium to model genetic and environmental effects on gene regulation in the vascular endothelium, a common site of pathology in cardiovascular disease. We found that genes near regions of differentially accessible chromatin were more likely to be differentially expressed (OR = [3.41, 6.52], p < 10-16). Furthermore, we confirmed that environment-specific changes in transcription factor binding are a key mechanism for cellular response to environmental stimuli. SNPs in these transcription response factor footprints for dexamethasone, caffeine, and retinoic acid were enriched in GTEx eQTLs from artery tissues indicating that these environmental conditions are latently present in GTEx samples. Additionally, SNPs in footprints for response factors in caffeine are enriched in colocalized eQTLs for coronary artery disease (CAD), suggesting a role for caffeine in CAD risk. Interestingly, each treatment may amplify or buffer genetic risk for CAD, depending on the particular SNP considered.

genomics↗