Biology subjects

Battaglia, C.

Publications and source records attributed to Battaglia, C..

5 recordsLinked to original sources

bioRxiv2023

Loops are Geometric Catalysts for DNA Integration

The insertion of HIV and other DNA elements within genomes underpins both genetic diversity and disease when unregulated. Most of these insertions are not random and occupy specific positions within the genome but the physical mechanisms underlying the integration site selection are poorly understood. Here we perform Molecular Dynamics simulations to study the insertion of DNA elements, such as HIV viral DNA or transposons, into naked DNA or chromatin substrate. More specifically, we explore the role of loops in the DNA substrate and discover that they act as "geometric catalysts" for DNA integration. Additionally, we discover that the 1D and 3D clustering of loops affects the distribution of integration sites. Finally, we show that loops may compete with nucleosomes at attracting DNA integrations. These results may be tested in vitro and they may help to understand patterns of DNA insertions with implications in genome evolution and gene therapy.

biophysics↗

bioRxiv2023

Mecp2 knock-out astrocytes affect synaptogenesis by IL-6 dependent mechanisms

Synaptic abnormalities represent a hallmark for several neurological diseases and clarification of the underlying mechanisms constitutes a crucial step towards the development of therapeutic strategies. Rett syndrome (RTT) is a rare neurodevelopmental disorder, mainly affecting females, caused by heterozygous mutations in the X-linked Methyl-CpG-Binding Protein 2 (MECP2) gene, leading to a deep derangement of synaptic connectivity. Although initial studies have supported the exclusive involvement of neurons, recent data have highlighted the pivotal contribution of astrocytes in RTT pathogenesis through non-cell autonomous mechanisms. Since astrocytes regulate synaptogenesis by releasing multiple molecules, we investigated the influence of soluble factors secreted by Mecp2 KO astrocytes on synaptic density. We found that Mecp2 deficiency in astrocytes negatively affects their ability to support synapse formation by releasing synaptotoxic molecules, among which we identified interleukin-6 (IL-6). Notably, aberrant IL-6 expression exclusively emerges from a dysfunctional astrocyte-neuron crosstalk, and blocking IL-6 activity prevents synaptic alterations.

neuroscience↗

bioRxiv2023

Lost in HELLS: disentangling the mystery of SALNR existence in senescence cellular models

Long non-coding RNAs (lncRNAs) have emerged as key regulators of cellular senescence by transcriptionally and post-transcriptionally modulating the expression of many important genes involved in senescence-associated pathways and processes. Among the different lncRNAs associated to senescence, Senescence Associated Long Non-coding RNA (SALNR) was found to be down-regulated in different cellular models of senescence. Since its release in 2015, SALNR has not been annotated in any database or public repository, and no other experimental data have been published. The SALNR sequence is located on the long arm of chromosome 10, at band 10q23.33, and it overlaps the 3 end of the HELLS gene. This investigation helped to unravel the mystery of the existence of SALNR by analyzing publicly available short- and long-read RNA sequencing data sets and RT-PCR analysis in human tissues and cell lines. Additionally, the expression of HELLS has been studied in cellular models of replicative senescence, both in silico and in vitro. Our findings, while strongly questioning the actual existence of SALNR as an independent transcript, support the expression of a predicted HELLS isoform entirely covering the SALNR genomic region. Furthermore, we observed a strong down-regulation of HELLS in senescent cells versus proliferating cells, supporting its role in the senescence and aging process. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=106 SRC="FIGDIR/small/526712v1_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@1178eb8org.highwire.dtl.DTLVardef@19ae822org.highwire.dtl.DTLVardef@fe1c49org.highwire.dtl.DTLVardef@f31ae1_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

bioRxiv2022

Design, implementation, and functional validation of a new generation of microneedle 3D high-density CMOS multi-electrode array for brain tissue and spheroids

In the last decades, planar multi-electrode arrays (MEAs) have been widely used to record activity from in vitro neuronal cell cultures and tissue slices. Though successful, this technique bears some limitations, particularly relevant when applied to three-dimensional (3D) tissue, such as brain slices, spheroids or organoids. For example, planar MEAs signals are informative on just one side of a 3D-organized structure. This limits the interpretation of the results in terms of network functions in a complex structured and hyperconnected brain tissue. Moreover, the side in contact with the MEAs often shows lower oxygenation rates and related vitality issues. To overcome these problems, we empowered a CMOS high-density multi-electrode array (HD-MEA) with thousands of microneedles (needles) of 65-90 m height, able to penetrate and record in-tissue signals, providing for the first time a 3D HD-MEA chip. We propose a CMOS-compatible fabrication process to produce arrays of needles of different widths mounted on large pedestals to create microchannels underneath the tissue. By using cerebellar and cortico-hippocampal slices as a model, we show that the needles efficiently penetrate the 3D tissue while the microchannels allow the flowing of maintenance solutions to increase tissue vitality in the recording sites. These improvements are reflected by the increase in electrodes sensing capabilities, the number of sampled neuronal units (compared to matched planar technology), and the efficiency of compound effects. Importantly, each electrode can also be used to stimulate the tissue with optimal efficiency due to the 3D structure. Furthermore, we demonstrate how the 3D HD-MEA can efficiently penetrate and get outstanding signals from in vitro 3D cellular models as brain spheroids. In conclusion, we describe a new recording device characterized by the highest spatio-temporal resolution reported for a 3D MEA and significant improvements in the quality of recordings, with a high signal-to-noise ratio and improved tissue vitality. The applications of this game-changing technique are countless, opening unprecedented possibilities in the neuroscience field and beyond.

neuroscience↗

bioRxiv2022

Gene structure heterogeneity drives transcription noise within human chromosomes

Classical observations have long suggested there is a link between 3D gene structure and transcription1-4. However, due to the many factors regulating gene expression, and to the challenge of visualizing DNA and chromatin dynamics at the same time in living cells, this hypothesis has been difficult to quantitatively test experimentally. Here we take an orthogonal approach and use computer simulations, based on the known biophysical principles of genome organisation5-7, to simultaneously predict 3D structure and transcriptional output of human chromatin genome wide. We validate our model by quantitative comparison with Hi-C contact maps, FISH, GRO-seq and single-cell RNA-seq data, and provide the 3DGene resource to visualise the panoply of structures adopted by any active human gene in a population of cells. We find transcription strongly correlates with the formation of protein-mediated microphase separated clusters of promoters and enhancers, associated with clouds of chromatin loops, and show that gene noise is a consequence of structural heterogeneity. Our results also indicate that loop extrusion by cohesin does not affect average transcriptional patterns, but instead impacts transcriptional noise. These findings provide a functional role for intranuclear microphase separation, and an evolutionary mechanism for loop extrusion halted at CTCF sites, to modulate transcriptional noise.

molecular biology↗