Biology subjects

Lucini, F.

Publications and source records attributed to Lucini, F..

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↗

bioRxiv2020

A ChIC solution for ChIP-seq quality assessment

Despite the widespread adoption of the ChIP-seq technique, there is still no consensus on quality assessment procedures. Quantitative metrics previously proposed in literature are not always effective in discriminating the success or failure of an experiment, thus hampering objectivity and reproducibility of quality control. Here we introduce ChIC, a new framework for ChIP-seq data quality assessment that overcomes the limitations of previous solutions. ChIC is the first method for ChIP-seq quality control directly considering the enrichment profile shape, thus achieving good performances on ChIP targets yielding sharp and broad peaks alike. We integrate a comprehensive set of quality control metrics into one single score reliably summarizing the sample quality. The ChIC score is based on a machine learning classifier trained on a compendium with thousands of ChIP-seq profiles, which can also be used as a reference for easier evaluation of new datasets. ChIC is implemented as a user-friendly R/Bioconductor package.

bioinformatics↗

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↗