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Uccelli, A.

Publications and source records attributed to Uccelli, A..

3 recordsLinked to original sources

A sequential event-responsive fluorescent reporter for inducible Cre and Flp combinatorial recombination

Current technologies for precise genetic manipulation of cells often utilize site-specific recombinases, enabling the creation of conditional transgenic models for studying gene functions in specific tissues and at defined time windows. The advent of drug-inducible recombinases has further enhanced this field by allowing temporal control of gene expression. However, detecting gene expression patterns when multiple recombinases are used is challenging, particularly when visualizing combinatorial maps and their temporal profile. To address this, we developed Rubik, a fluorescent genetic reporter specifically designed to monitor the action of Cre and Flp recombinases by expressing different fluorophores depending on the temporal sequence of recombination events. Rubik offers four alternative fluorescent configurations: blue for Cre recombination, green for Flp recombination, yellow for Cre followed by Flp recombination, and red for Flp followed by Cre recombination. Additionally, Rubik integrates light-gated ion channels, allowing optogenetic excitation or inhibition of electrically-excitable cells based on the temporal sequence of recombination events. Moreover, to add temporal control over Rubik recombination, we optimized a trimethoprim-inducible FlpO recombinase (FlpO-DD) to use in combination with the tamoxifen-inducible Cre recombinase (ERT2CreERT2). We validated Rubik by generating a stable knock-in HeLa cell line using CRISPR-Cas9 and single-cell sorting. Our results confirmed the effective functioning of Rubik with Cre and Flp recombinases and showed the ability to induce selective recombination via either tamoxifen or trimethoprim. This system holds potential for neuroscience research, particularly in generating knock-in mice expressing Rubik, which could be instrumental in precisely defining the roles of specific neuronal populations based on Cre and Flp activity.

molecular biology↗

Multiscale networks in multiple sclerosis

Complex diseases such as Multiple Sclerosis (MS) cover a wide range of biological scales, from genes and proteins to cells and tissues, up to the full organism. We conducted a multilayer network analysis and deep phenotyping with multi-omics data (genomics, phosphoproteomics and cytomics), brain and retinal imaging, and clinical data, obtained from a multicenter prospective cohort of 328 patients and 90 healthy controls. Multilayer networks were constructed using mutual information, and Boolean simulations identified paths within and among all layers. The path more commonly found from the boolean simulations connects MP2K, with Th17 cells, the retinal nerve fiber layer (RNFL) thickness and the age related MS severity score (ARMSS). Combinations of several proteins (HSPB1, MP2K1, SR6, KS6B1, SRC, MK03, LCK and STAT6)) and immune cells (Th17, Th1 non-classic, CD8, CD8 Treg, CD56 neg, and B memory) were part of the paths explaining the clinical phenotype. Specific paths identified were subsequently analyzed by flow cytometry at the single-cell level. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=94 SRC="FIGDIR/small/530153v1_ufig1.gif" ALT="Figure 1"> View larger version (48K): org.highwire.dtl.DTLVardef@7dd26org.highwire.dtl.DTLVardef@482239org.highwire.dtl.DTLVardef@1bef03borg.highwire.dtl.DTLVardef@8dc6e6_HPS_FORMAT_FIGEXP M_FIG C_FIG Author SummaryComplex diseases such as Multiple Sclerosis (MS) involve the contribution of a wide range of biological processes. We conducted a systems biology study of MS based on network analysis and deep phenotyping in a prospective cohort of patients with clinical, imaging, genetics, and omics assessments. The gene, proteins and cell paths explained variation in central nervous system damage, and in metrics of disease severity. Such multilayer paths explain the different phenotypes of the disease and can be developed as biomarkers of MS.

systems biology↗

Enrichment analysis of GWAS data in autoimmunity delineates the multiple sclerosis-Epstein Barr virus association

We exploited genetic information to assess non-genetic influences in autoimmunity. We isolated gene modules whose products physically interact with environmental exposures related to autoimmunity, and analyzed their nominal statistical evidence of association with autoimmune and non-autoimmune diseases in genome-wide association studies (GWAS) data. Epstein Barr virus (EBV) and other Herpesviruses interactomes emerged as specifically associated with multiple sclerosis (MS), possibly under common regulatory mechanisms. Analyses of MS blood and brain transcriptomes, cytofluorimetric studies of endogenous EBV-infected lymphoblastoid lines, and lesion immunohistochemistry, confirmed a dysregulation of MS-associated EBV interactors, suggesting their contribution to CD40 signaling alterations in MS. These interactors resulted enriched in modules from inherited axonopathies-causing genes, supporting a link between EBV and neurodegeneration in MS, in accord with the observed transcriptomic dysregulations in MS brains. They were also enriched with top-ranked pharmaceutical targets prioritized on a genetic basis. This study delineates a disease-specific influence of herpesviruses on MS biology.

neuroscience↗