Biology subjects

Picardi, E.

Publications and source records attributed to Picardi, E..

7 recordsLinked to original sources

bioRxiv2026

Intercellular Transfer of PTBP1 Drives Human Neural Stem Cell Fate

During fetal brain development, temporally defined alternative splicing (AS) programs control human neural stem cell (hNSC) self-renewal and differentiation, thereby regulating neurogenesis and gliogenesis. Polypyrimidine tract-binding protein 1 (PTBP1) is a master regulator of AS during neurogenesis; however, its functional role and dynamics in hNSCs remain largely unexplored. Here, we investigate the cellular and molecular functions, nucleocytoplasmic distribution, and intercellular trafficking of PTBP1 in primary hNSCs. We found that PTBP1 knockdown (KD) alters self-renewal capacity, mitochondrial dynamics and membrane potential, lipid droplet abundance, and PTBP2 expression. RNA sequencing analysis revealed that PTBP1 depletion affects the expression profiling of hundreds of coding and non-coding genes, collectively orchestrating a neuronal differentiation program. Super-resolution {tau}-STED microscopy and live-cell imaging demonstrated that PTBP1 localizes not only to the nucleus but also to the cytoplasm, tunneling nanotubes (TNTs), migrasomes, and extracellular vesicles (EVs). Co-culture experiments and EV uptake assays showed that cytosolic PTBP1 can be transferred between hNSCs and delivered to the nuclei of recipient cells via TNTs and EVs. Moreover, EVs were found to contain specific and previously uncharacterized PTBP1 isoforms and were efficiently transferred to PTBP1-KD cells, rescuing their proliferative capacity. Analysis of the mouse brain reveals the presence of PTBP1 in the V-SVZ and within TNT-like structures connecting NSCs, suggesting a role for TNT-mediated PTBP1 trafficking in vivo. Together, these findings uncover previously unrecognized roles for PTBP1 in hNSCs and provide the first evidence that PTBP1 can be transferred between hNSCs via TNTs and EVs, revealing a novel mechanism by which hNSCs may regulate fetal neurogenesis. Graphical AbstractA: PTBP1 regulates hNSC fate by controlling cell proliferation, lipid droplet dynamics, mitochondrial function, and post-transcriptional programs involved in neuronal commitment. B: Cytosolic PTBP1 is transferred between hNSCs via tunneling nanotubes (TNTs) and extracellular vesicles (EVs). Abbreviations: LV, lateral ventricle; aRG, apical radial glial cells; bRG, basal radial glial cells; V-SVZ, ventricular-subventricular zone; EVs, extracellular vesicles; TNTs, tunneling nanotubes.

neuroscience↗

bioRxiv2026

Alternative exon splicing reveals hidden mitochondrial targeting of PLIN3

Perilipin 3 (PLIN3) is a lipid droplet-associated protein implicated in cellular lipid metabolism. We characterize a previously unrecognized alternative splicing event in human PLIN3. The generated transcript PLIN3B is detectable at the RNA level across human tissues and is modulated by antisense oligonucleotide-mediated splicing. Despite clear evidence for PLIN3B transcript expression, endogenous PLIN3B protein could not be detected using multiple complementary state-of-the-art detection strategies. When expressed exogenously, PLIN3B coding sequence encodes an unstable protein that localizes predominantly within mitochondria, in contrast to canonical PLIN3. Using super-resolution microscopy, correlative light-electron microscopy, and interaction proteomics, we show that PLIN3B accumulates intramitochondrially and engages protein quality control machinery. Mitochondrial targeting depends on residues shared by both isoforms, not altered by alternative splicing, indicating that mitochondrial targeting is normally repressed. Together, these results show that alternative exon splicing in PLIN3 reveals latent mitochondrial targeting without producing detectable endogenous protein, underscoring the need to distinguish transcript diversity from stable protein expression.

cell biology↗

bioRxiv2025

RNAcentral in 2026: Genes and literature integration

RNAcentral was founded in 2014 to serve as a comprehensive database of non-coding RNA sequences. It began by providing a single unified interface to more specialised resources, and now contains 45 million sequences. It has grown beyond providing a single interface to many specialised resources and now provides several services and analyses. These include secondary structure prediction with R2DT, sequence search, and analysis with Rfam. Since its last publication in 2021, RNAcentral has developed two major features. First, literature integration with the development of LitScan and LitSumm. LitScan automatically identifies and links relevant publications to RNA entries, while LitSumm uses natural language processing to generate functional summaries from the literature. Together, these tools address the critical challenge of connecting sequence data with scattered functional knowledge across thousands of publications. Secondly, RNAcentral has created gene level entries. Gene level entries represent a large structural change to RNAcentral. While RNAcentral previously organized data exclusively at the sequence level, we now group related transcripts into gene-centric views. This allows researchers to explore all isoforms, splice variants, and related sequences for a gene in a unified interface, better reflecting biological organization and facilitating comparative analyses. RNAcentral is freely available at: https://rnacentral.org.

bioinformatics↗

bioRxiv2025

Editing-independent effects of Adar in Drosophila melanogaster

Vertebrate ADAR RNA editing enzymes prevent cellular dsRNA from aberrantly activating antiviral dsRNA sensors. ADARs inhibit antiviral sensor activation by deaminating selected adenosines to inosines in dsRNA and by engaging in inhibitory protein interactions with sensors on dsRNA. ADARs interact with Dicers and, in the Drosophila Adar5G1 null mutant Dicer 2 acts as the antiviral dsRNA sensor mediating aberrant innate immune induction. We overexpressed active Adar isoforms or a catalytically-inactive Adar E374A protein from UAS-Adar constructs under the control of a temperature-regulated Act5Cts-GAL4 driver. Overexpression of the edited AdarG isoform or AdarEA cause larval lethality with aberrant innate immune induction. Some escaper pupae are formed with head eversion defects. AdarS overexpression is also lethal with no progeny pupae. Ecdysone signaling gene and innate immune gene expression are aberrantly elevated in the AdarG overexpressing pupae. RNAi knockdown of Ecdysone Receptor A (EcR A) or increasing expression of HP1 partially rescue AdarG overexpression defects and normalize gene expression in progeny flies, indicating that aberrant epigenetic silencing is also involved. The structure of an ADAR2 dimer on dsRNA shows the the glycine in AdarG is suitably positioned for Adar contacts with other proteins on dsRNA.

developmental biology↗

bioRxiv2021

The ADAR1 editome reveals drivers of editing-specificity for ADAR1-isoforms

Adenosine deaminase acting on RNA (ADAR) (also known as ADAR1) promotes A-to-I conversion in double-stranded and highly structured RNAs. ADAR1 has two isoforms transcribed from different promoters: ADAR1p150, which is mainly cytoplasmic and interferon-inducible, and constitutively expressed ADAR1p110 that is primarily localized in the nucleus. Mutations in ADAR1 cause Aicardi - Goutieres syndrome (AGS), a severe autoinflammatory disease in humans associated with aberrant IFN production. In mice, deletion of ADAR1 or selective knockout of the p150 isoform alone leads to embryonic lethality driven by overexpression of interferon-stimulated genes. This phenotype can be rescued by concurrent deletion of cytoplasmic dsRNA-sensor MDA5. These findings indicate that the interferon- inducible p150 isoform is indispensable and cannot be rescued by the ADAR1p110 isoform. Nevertheless, editing sites uniquely targeted by ADAR1p150 but also mechanisms of isoform- specificity remain elusive. Here we combine RIP-seq on human cells expressing ADAR1 isoforms and combine this with analysis of isoform-specific editing patterns in genetically modified mouse cells to extensively investigate ADAR1-isoform binding- and editing characteristics. Moreover, using mutated ADAR variants, we examine the effect of two unique features of ADAR1p150 on its target specificity: 1) cytoplasmic localization and 2) Z-DNA binding domain . Our findings indicate that ZBD contributes only minimally to p150 editing-specificity and that isoform-specific editing is directed mainly by the cytoplasmic localization of the editase.

genomics↗

bioRxiv2020

A-to-I RNA editing in SARS-COV-2: real or artifact?

ADAR1-mediated deamination of adenosines in long double stranded RNAs plays an important role in modulating the innate immune response. However, recent investigations based on metatranscriptomic samples of COVID-19 patients and SARS-COV-2 infected Vero cells have recovered contrasting findings. Using RNAseq data from time course experiments of infected human cell lines and transcriptome data from Vero cells and clinical samples, we prove that A-to-G changes observed in SARS-COV-2 genomes represent genuine RNA editing events, likely mediated by ADAR1. While the A-to-I editing rate is generally low, changes are distributed along the entire viral genome, are overrepresented in exonic regions and are, in the majority of cases, nonsynonymous. The impact of RNA editing on virus-host interactions could be relevant to identify potential targets for therapeutic interventions.

genomics↗

bioRxiv2020

HPC-REDItools: a Novel HPC-aware Tool for Improved Large Scale RNA-editing Analysis

BackgroundRNA editing is a widespread co-/post-transcriptional mechanism that alters primary RNA sequences through the modification of specific nucleotides and it can increase both the transcriptome and proteome diversity. The automatic detection of RNA-editing from RNA-seq data is computational intensive and limited to small data sets, thus preventing a reliable genome-wide characterisation of such process. ResultsIn this work we introduce HPC-REDItools, an upgraded tool for accurate RNA-editing events discovery from large dataset repositories. Availability: https://github.com/BioinfoUNIBA/REDItools2. ConclusionsHPC-REDItools is dramatically faster than the previous version, REDItools, enabling big-data analysis by means of a MPI-based implementation and scaling almost linearly with the number of available cores.

bioinformatics↗