Francesco Gregoretti

Francesco Gregoretti

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Francesco Gregoretti

Institute for High Performance Computing and Networking, ICAR-CNR

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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9 November 2015 in Journal of Cell Biology
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ECElisa Cesarini
Elisa Cesarini
CMChiara Mozzetta
Chiara Mozzetta
FMFabrizia Marullo
Fabrizia Marullo
FGFrancesco Gregoretti
Francesco Gregoretti
AGAnnagiusi Gargiulo
Annagiusi Gargiulo
CLChiara Lanzuolo
Chiara Lanzuolo
Beyond its role in providing structure to the nuclear envelope, lamin A/C is involved in transcriptional regulation. However, its cross talk with epigenetic factors—and how this cross talk influences physiological processes—is still unexplored. Key epigenetic regulators of development and differentiation are the Polycomb group (PcG) of proteins, organized in the nucleus as microscopically visible foci. Here, we show that lamin A/C is evolutionarily required for correct PcG protein nuclear compartmentalization. Confocal microscopy supported by new algorithms for image analysis reveals that lamin A/C knock-down leads to PcG protein foci disassembly and PcG protein dispersion. This causes detachment from chromatin and defects in PcG protein–mediated higher-order structures, thereby leading to impaired PcG protein repressive functions. Using myogenic differentiation as a model, we found that reduced levels of lamin A/C at the onset of differentiation led to an anticipation of the myogenic program because of an alteration of PcG protein–mediated transcriptional repression. Collectively, our results indicate that lamin A/C can modulate transcription through the regulation of PcG protein epigenetic factors.

23 July 2011 in Nucleic Acids Research
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VBVincenzo Belcastro
Vincenzo Belcastro
VSVelia Siciliano
Velia Siciliano
FGFrancesco Gregoretti
Francesco Gregoretti
PMPratibha Mithbaokar
Pratibha Mithbaokar
GDGopuraja Dharmalingam
Gopuraja Dharmalingam
DBDiego di Bernardo
Diego di Bernardo
We collected a massive and heterogeneous dataset of 20 255 gene expression profiles (GEPs) from a variety of human samples and experimental conditions, as well as 8895 GEPs from mouse samples. We developed a mutual information (MI) reverse-engineering approach to quantify the extent to which the mRNA levels of two genes are related to each other across the dataset. The resulting networks consist of 4 817 629 connections among 20 255 transcripts in human and 14 461 095 connections among 45 101 transcripts in mouse, with a inter-species conservation of 12%. The inferred connections were compared against known interactions to assess their biological significance. We experimentally validated a subset of not previously described protein–protein interactions. We discovered co-expressed modules within the networks, consisting of genes strongly connected to each other, which carry out specific biological functions, and tend to be in physical proximity at the chromatin level in the nucleus. We show that the network can be used to predict the biological function and subcellular localization of a protein, and to elucidate the function of a disease gene. We experimentally verified that granulin precursor (GRN) gene, whose mutations cause frontotemporal lobar degeneration, is involved in lysosome function. We have developed an online tool to explore the human and mouse gene networks.

9 November 2020 in Nature Genetics
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AFAlessandra Fasciani
Alessandra Fasciani
SDSarah D’aNnunzio
Sarah D’aNnunzio
VPVittoria Poli
Vittoria Poli
LFLuca Fagnocchi
Luca Fagnocchi
SBSven Beyes
Sven Beyes
AZAlessio Zippo
Alessio Zippo

20 February 2014 in Bioinformatics
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DCDiego Carrella
Diego Carrella
FNFerdinando Napolitano
Ferdinando Napolitano
RRRossella Rispoli
Rossella Rispoli
MMMario Miglietta
Mario Miglietta
ACAnnamaria Carissimo
Annamaria Carissimo
DBDiego Di Bernardo
Diego Di Bernardo
Summary: Elucidation of molecular targets of a compound [mode of action (MoA)] and its off-targets is a crucial step in drug development. We developed an online collaborative resource (MANTRA 2.0) that supports this process by exploiting similarities between drug-induced transcriptional profiles. Drugs are organized in a network of nodes (drugs) and edges (similarities) highlighting ‘communities’ of drugs sharing a similar MoA. A user can upload gene expression profiles before and after drug treatment in one or multiple cell types. An automated processing pipeline transforms the gene expression profiles into a unique drug ‘node’ embedded in the drug-network. Visual inspection of the neighbouring drugs and communities helps in revealing its MoA and to suggest new applications of known drugs (drug repurposing). MANTRA 2.0 allows storing and sharing user-generated network nodes, thus making MANTRA 2.0 a collaborative ever-growing resource. Availability and implementation: The web tool is freely available for academic use at http://mantra.tigem.it. Contact:dibernardo@tigem.it

1 May 2020 in Journal of Clinical Investigation
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ABAndrea Bianchi
Andrea Bianchi
CMChiara Mozzetta
Chiara Mozzetta
GPGloria Pegoli
Gloria Pegoli
FLFederica Lucini
Federica Lucini
SVSara Valsoni
Sara Valsoni
CLChiara Lanzuolo
Chiara Lanzuolo
Lamin A is a component of the inner nuclear membrane that, together with epigenetic factors, organizes the genome in higher order structures required for transcriptional control. Mutations in the lamin A/C gene cause several diseases belonging to the class of laminopathies, including muscular dystrophies. Nevertheless, molecular mechanisms involved in the pathogenesis of lamin A–dependent dystrophies are still largely unknown. The polycomb group (PcG) of proteins are epigenetic repressors and lamin A interactors, primarily involved in the maintenance of cell identity. Using a murine model of Emery-Dreifuss muscular dystrophy (EDMD), we show here that lamin A loss deregulated PcG positioning in muscle satellite stem cells, leading to derepression of non–muscle-specific genes and p16INK4a, a senescence driver encoded in the Cdkn2a locus. This aberrant transcriptional program caused impairment in self-renewal, loss of cell identity, and premature exhaustion of the quiescent satellite cell pool. Genetic ablation of the Cdkn2a locus restored muscle stem cell properties in lamin A/C–null dystrophic mice. Our findings establish a direct link between lamin A and PcG epigenetic silencing and indicate that lamin A–dependent muscular dystrophy can be ascribed to intrinsic epigenetic dysfunctions of muscle stem cells.

11 March 2020 in The EMBO Journal
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ISIart Luca Shytaj
Iart Luca Shytaj
BLBojana Lucic
Bojana Lucic
MFMattia Forcato
Mattia Forcato
CPCarlotta Penzo
Carlotta Penzo
JBJames Billingsley
James Billingsley
MLMarina Lusic
Marina Lusic
HIV‐1 persists in a latent form during antiretroviral therapy, mainly in CD4 + T cells, thus hampering efforts for a cure. HIV‐1 infection is accompanied by metabolic alterations, such as oxidative stress, but the effect of cellular antioxidant responses on viral replication and latency is unknown. Here, we show that cells survive retroviral replication, both in vitro and in vivo in SIVmac‐infected macaques, by upregulating antioxidant pathways and the intertwined iron import pathway. These changes are associated with remodeling of promyelocytic leukemia protein nuclear bodies (PML NBs), an important constituent of nuclear architecture and a marker of HIV‐1 latency. We found that PML NBs are hyper‐SUMOylated and that PML protein is degraded via the ubiquitin–proteasome pathway in productively infected cells, before latency establishment and after reactivation. Conversely, normal numbers of PML NBs were restored upon transition to latency or by decreasing oxidative stress or iron content. Our results highlight antioxidant and iron import pathways as determinants of HIV‐1 latency and support their pharmacologic inhibition as tools to regulate PML stability and impair latency establishment.