Biology subjects

Giorgetti, A.

Publications and source records attributed to Giorgetti, A..

7 recordsLinked to original sources

bioRxiv2026

A cold-adapted Cas9 nuclease from the deep ocean

The abundance of CRISPR systems in bacteria and archaea fuels the search for Cas nucleases that perform where established enzymes fail. Deep Ocean 1 Cas9 (DO1Cas9) is to our knowledge the first Cas9 nuclease characterized from the deep ocean, recovered from a metagenomic sample at 1,500 m depth in the Atlantic Ocean. DO1Cas9 shows cold-adapted structural flexibility, thermal susceptibility, salt-dependent stability, higher specificity than SpCas9 and cleaves double-stranded DNA efficiently under cold conditions where mesophilic SpCas9 retains only residual activity. DO1Cas9 edits genomes in diverse organisms such as Caenorhabditis elegans, zebrafish, the marine tunicate Oikopleura dioica, and the malaria parasite Plasmodium falciparum. In the marine bacterium Marinomonas mediterranea, DO1Cas9 programmed against an invading phage reduced plaquing efficiency about 10-fold more than SpCas9. These results expand the CRISPR-Cas9 toolbox with a nuclease for cold-chain editing and marine biotechnology.

genetics↗

bioRxiv2026

TRU-PE: A Universal, Trackable Prime Editor Toolkit for Robust Single- and Multi-Locus Genome Engineering

Prime editing (PE) holds immense promise for precise genome editing, but its wider adoption is constrained by large payloads and inefficient delivery in recalcitrant cell types. Here, we present TRU-PE (Trackable, Robust, and Universal Prime Editor), a toolkit that overcomes these barriers via a split-vector architecture coupled with fluorescence-guided enrichment. This design ensures stoichiometric component expression, yielding marked improvements in editing efficiency and accelerated workflows compatible with both plasmid and viral delivery. By integrating a polycistronic hCtRNA-sgRNA/pegRNA array, the derivative TRU-MPE system enables simultaneous editing of up to ten genomic loci. Furthermore, it enhances the performance of evolved PE editors, allows flexible vector stoichiometry and inspires novel editing reporters. Leveraging these capabilities, we successfully generated a combinatorial human iPSC-based platform for GATA2 deficiency, which accurately recapitulates genotype-specific hematopoietic defects. TRU-PE thus provides a user-friendly, scalable framework for robust single- and multi-locus genome engineering, accelerating functional genomics and therapeutic development.

genetics↗

bioRxiv2025

Staufen2 modulates the temporal dynamics of human neurogenesis in vitro

RNA-binding proteins (RBPs) play a central role in post-transcriptional regulation during brain development, yet their specific functions in coordinating human neural lineage decisions remain poorly understood. Here, we investigate for the first time the role of the double-stranded RBP Staufen2 (STAU2) in human neurogenesis. Characterization of STAU2 knockout iPSC derived cells using scRNA-seq shows that loss of STAU2 disrupts neuroepithelial cell identity and accelerates neural differentiation by altering the activity of key transcription factors and driving early metabolic transitions. Additionally, STAU2 regulates the expression of miRNA host genes and alters miRNA-mediated post- transcriptional control in progenitor cells, which exerts additional effects on STAU2 regulated gene regulatory networks. These changes result in neural progenitor exhaustion, unstructured neural rosettes, and reduced organoid size. Together, our work uncovers a previously unrecognized role for STAU2 as a central regulator of early human neurogenesis, acting through both miRNA-mediated and transcriptional pathways to coordinate progenitor maintenance and neuronal fate specification.

molecular biology↗

bioRxiv2024

Trajectory analysis of hepatic stellate cell differentiation reveals metabolic regulation of cell commitment and fibrosis

Defining the trajectory of cells during differentiation and disease offers the possibility to understand the mechanisms driving cell fate and identity. However, trajectories of human cells are largely unexplored. By investigating the proteome trajectory of iPSCs differentiation to hepatic stellate cells (dHSCs), we identified RORA as a key transcription factor governing the metabolic reprogramming of HSCs necessary for HSCs commitment, identity, and activation. Using RORA deficient iPSCs and pharmacologic interventions, we showed that RORA is required for mesoderm differentiation and prevents dHSCs activation by reducing the high energetic state of the cells. While RORA knockout mice had enhanced fibrosis, RORA agonists rescued multi- organ fibrosis in in vivo models. RORA expression was consistently found to be negatively correlated with liver fibrosis and HSCs activation markers in patients with liver disease. This study reveals that RORA regulates cell metabolic plasticity, crucial for mesoderm differentiation, pericyte quiescence, and fibrosis, influencing cell commitment and disease mechanisms. SummaryThis study describes the trajectory of induced pluripotent stem cells (iPSCs) differentiation to hepatic stellate cells (dHSCs). We identify RAR-related orphan receptor alpha (RORA) as a transcription factor essential for mesoderm commitment and dHSCs identity and fibrogenic activation by regulating metabolic plasticity.

cell biology↗

bioRxiv2023

AI-based novel-chemotype GPCRs drugs: introducing ligand type classifiers and systems biology

Identifying the correct chemotype of ligands targeting receptors (i.e., agonist or antagonist) is a challenge for in silico screening campaigns. Here we present an approach that identifies novel chemotype ligands by combining structural data with a random forest agonist/antagonist classifier and a signal-transduction kinetic model. As a test case, we apply this approach to identify novel antagonists of the human adenosine transmembrane receptor type 2A, an attractive target against Parkinsons disease and cancer. The identified antagonists were tested here in a radioligand binding assay. Among those, we found a promising ligand whose chemotype differs significantly from all so-far reported antagonists, with a binding affinity of 310{+/-}23.4 nM. Thus, our protocol emerges as a powerful approach to identify promising ligand candidates with novel chemotypes while preserving antagonistic potential and affinity in the nanomolar range.

bioinformatics↗

bioRxiv2022

SSB toolkit: from molecular structure to subcellular signaling pathways.

We present, here, an open-source systems biology toolkit to simulate mathematical models of the signal-transduction pathways of G-protein coupled receptors (GPCRs). By merging structural macromolecular data with systems biology simulations, we developed a framework to simulate the signal-transduction kinetics induced by ligand-GPCR interactions, as well as the consequent change of concentration of signaling molecular species, as a function of time and ligand concentration. Therefore, this tool brings to the light the possibility to investigate the subcellular effects of ligand binding upon receptor activation, deepening the understanding of the relationship between the molecular level of ligand-target interactions and higher-level cellular and physiologic or pathological response mechanisms.

bioinformatics↗

bioRxiv2022

Modelling eNvironment for Isoforms (MoNvIso): A general platform to predict structural determinants of protein isoforms in genetic diseases

The seamless integration of human disease-related mutation data into protein structures is an essential component of any attempt to correctly assess the impact of the mutation. The key step preliminary to any structural modelling is the identification of the correct isoform onto which mutations should be mapped because there are several functionally different protein isoforms from the same gene. To handle large sets of data coming from omics techniques, this challenging task should be automatized. Here we present our code MoNvIso (Modelling eNvironment for Isoforms), which pinpoints the correct isoform associated with the mutation of interest and builds a structural model of both the wild type isoform and the related variants starting from the name of the gene and the list of mutations of interest.

bioinformatics↗