Biology subjects

Broglia, L.

Publications and source records attributed to Broglia, L..

8 recordsLinked to original sources

bioRxiv2026

PHANES: an integrated resource of protein features for the human proteome

Protein analysis and machine-learning workflows increasingly rely on large-scale numerical representations of proteins. While protein language models provide powerful embeddings, their limited interpretability and high computational cost hinder their use in many biological applications. We present PHANES, a human proteome database and web server providing a comprehensive, biologically interpretable set of features for 20335 proteins. PHANES integrates sequence-derived physicochemical descriptors, structure-based and graph-theoretical features computed from AlphaFold predictions, thermostability indices, and tissue expression specificity. In addition to precomputed features for the human proteome, an integrated web server enables on-demand feature calculation for user-provided protein structures. PHANES supports data export, visualization and comparative analysis at the level of individual proteins and protein groups, bridging the gap between complex numerical representations and biological interpretation while providing an interpretable foundation for exploratory analyses and downstream machine-learning applications. PHANES is freely available at https://tools.tartaglialab.com/phanes.

bioinformatics↗

bioRxiv2026

A circRNA-derived IRES-like element enables programmable translational activation of the endogenous chaperone HSP90

Circular RNAs (circRNAs) are covalently closed transcripts that lack a 5' cap, consequently their translation depends on cap-independent initiation, in most cases through Internal Ribosome Entry Sites (IRESs). Whereas IRES-mediated translation has been studied almost exclusively in cis, the use of IRES-containing circRNAs to activate translation of an independent mRNA in trans has only recently begun to be explored. Here, we characterize SynFarsa, a synthetic circRNA-derived IRES-like element that promotes cap-lindependent translation in mouse and human cells. We engineered SynFarsa into a trans-acting regulator by fusing it to a short antisense sequence complementary to a selected region of a target mRNA. This reproduces the architecture of a circular SINEUP, in which IRES activity promotes translation in trans of a transcript recognized through antisense complementarity. Directing this construct to the hsp90 3'UTR increased HSP90 protein levels approximately 1.6-lfold without altering hsp90 mRNA abundance, whereas the hsp70 3'UTR and the 5'UTRs of both transcripts were not permissive, indicating that activity depends strongly on target site selection. In a FUSP525L neuroblastoma model of Amyotrophic Lateral Sclerosis, this increase in HSP90 was accompanied by a reduction in the number and size of cytoplasmic FUS aggregates. SynFarsa thus provides a circRNA-derived effector domain for targeted translational upregulation of an endogenous protein.

biochemistry↗

bioRxiv2025

Integrating RNA Structure and Protein Interactions to Uncover the Mechanisms of Viral and Cellular IRES Function

BackgroundRNAs fold into complex structures that critically influence gene expression. A prominent class of regulatory elements resides in the 5' untranslated region (5' UTR), where internal ribosome entry sites (IRESs) promote cap-independent translation by directly engaging the ribosome. First discovered in viral genomes, IRESs have been classified into four types according to their structural compactness and factor requirements. While viral IRESs are well studied, cellular IRESs remain poorly understood: they display limited sequence conservation, reduced structural compactness, and variable dependence on auxiliary RNA-binding proteins known as IRES trans-acting factors (ITAFs). Whether their activity relies mainly on RNA structure or protein assistance remains unresolved. Here, we present a computational framework that combines in silico mutagenesis and RNA-protein interaction profiling to investigate IRES mechanisms and guide the design of synthetic elements. ResultsUsing the Hepatitis C Virus (HCV) IRES as a benchmark, we performed systematic single-nucleotide mutagenesis coupled with structural predictions. Mutations were classified as synonymous or non-synonymous based on their effect on the secondary structure. The HCV IRES showed overall robustness, but the domain interacting with eIF3 was particularly sensitive, consistent with its essential role in translation initiation. Extending this approach to other viral IRES families revealed distinct profiles of resilience: Aphthoviruses retained structural integrity despite extensive sequence variation, whereas Cripaviruses displayed higher variability. We then applied the same analysis to cellular IRESs, which proved more structurally sensitive, suggesting stronger reliance on cofactor support. To probe this connection, we used the catRAPID approach to predict interactions with translation-related proteins. The method distinguished IRESs with known ITAF binding, such as PTBP1, and highlighted stability-promoting mutations that increased the predicted affinity for translation factors. ConclusionsOur in silico analysis indicates that mutational tolerance mirrors IRES cofactor dependence: compact viral IRESs are structurally robust, whereas non-viral IRESs are more reliant on protein interactions. By linking structure prediction with interaction profiling, we identify variants that both stabilize IRESs and improve binding to ITAFs or translation factors. This framework provides mechanistic insight into sequence-structure-function relationships and supports the rational design of synthetic IRES elements for therapeutic and biotechnological applications.

biochemistry↗

bioRxiv2025

Computationally-designed aptamers targeting RAD51-BRCA2 interaction inhibit RAD51 nuclear recruitment

The interaction between RAD51 and BRCA2 plays a key role in homologous recombination (HR), a critical DNA repair mechanism essential for the survival of cancer cells. Disrupting this interaction increases the sensitivity of cancer cells to chemotherapeutic agents. Here, we employed in silico methods to design a novel class of aptamers--customized single-stranded oligonucleotides--specifically engineered to bind RAD51. These aptamers were developed with the aim of selectively modulating RAD51s nuclear recruitment and its role in DNA repair processes. The leading candidate displays high affinity for RAD51, competing with BRCA2 for the same interaction site in vitro, as confirmed through biolayer interferometry (BLI) and fluorescence lifetime imaging microscopy (FLIM). We tested the efficacy of the leading aptamer in pancreatic cancer cells and observed that it significantly impedes RAD51 nuclear localization, reduces homologous recombination (HR) efficiency, and increases DNA damage. Critically, our aptamer potentiates the cytotoxicity of the PARP inhibitor olaparib, exploiting synthetic lethality (SL) to induce cancer cell death. Our study showcases an aptamer-based approach for selectively targeting protein interactions within DNA repair pathways, introducing a promising avenue for SL-based treatments applicable to a wide range of cancers.

biochemistry↗

bioRxiv2024

Rationalizing the Effects of RNA Modifications on Protein Interactions

RNA modifications play a crucial role in regulating gene expression by altering RNA structure and modulating interactions with RNA-binding proteins (RBPs). In this study, we explore the impact of specific RNA chemical modifications--N6-methyladenosine (mA), A-to-I editing, and pseudouridine ({Psi})--on RNA secondary structure and protein-RNA interactions. Utilizing genome-wide data, including RNA secondary structure predictions and protein-RNA interaction datasets, we classify proteins into distinct categories based on their binding behaviors: modification-specific and structure-independent, or modification-promiscuous and structure-dependent. For instance, mA readers like YTHDF2 exhibit modification-specific and structure-independent binding, consistently attaching to mA regardless of structural changes. Conversely, proteins such as U2AF2 display modification-promiscuous and structure-dependent behavior, altering their binding preferences in response to structural changes induced by different modifications. A-to-I editing, which causes significant structural changes, typically reduces protein interactions, while {Psi} enhances RNA structural stability, albeit with variable effects on protein binding. To better predict these interactions, we developed the catRAPID 2.0 RNA modifications algorithm, which forecasts the effects of RNA modifications on protein-RNA binding propensities. This algorithm serves as a valuable tool for researchers, enabling the prediction and analysis of RNA modifications impact on protein interactions, thus offering new insights into RNA biology and engineering. The catRAPID 2.0 RNA modifications tool is available at http://service.tartaglialab.com/new_submission/catrapid_omicsv2_rna_mod. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/610603v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@136148corg.highwire.dtl.DTLVardef@17f2d65org.highwire.dtl.DTLVardef@7d4ce9org.highwire.dtl.DTLVardef@447e47_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

bioRxiv2023

Internal Ribosome Entry Sites act as Effector Domain in linear and circular antisense long non-coding SINEUP RNAs

SINEUPs are antisense long non-coding RNAs that enhance translation of overlapping sense mRNAs through the activity of two domains: a SINEB2 sequence UP-regulating translation (Effector Domain, ED) and an antisense region providing target specificity (Binding Domain, BD). In this study, we demonstrate that the invSINEB2 sequence from the natural SINEUP AS Uchl1 RNA is an Internal Ribosomal Entry Site (IRES) when acting in cis and that known viral and cellular IRES sequences can act as Effector Domain in synthetic SINEUPs. To identify natural IRES-containing, non-coding RNAs with SINEUP-like activity, we focused on circular RNAs showing that the non-coding circ5533, transcribed from the c-myc locus, enhances endogenous protein expression of its target PX Domain Containing Serine/Threonine Kinase Like (Pxk) by increasing mRNA association to polysomes. In summary, this study shows that natural and synthetic SINEUPs include linear and circular transcripts with an embedded IRES sequence as ED.

molecular biology↗

bioRxiv2022

The PRALINE database: Protein and Rna humAn singLe nucleotIde variaNts in condEnsates

SummaryBiological condensates are membraneless organelles with different material properties. Proteins and RNAs are the main components, but most of their interactions are still unknown. Here we introduce PRALINE, a database for the interrogation of proteins and RNAs contained in stress-granules, processing bodies, and other assemblies including droplets and amyloids. PRALINE provides information about the predicted and experimentally validated protein-protein, protein-RNA and RNA-RNA interactions. For proteins, it reports the liquid-liquid phase separation and liquid-solid phase separation propensities. For RNAs, it provides information on predicted secondary structure content. PRALINE shows detailed information on human single-nucleotide variants, their clinical significance and presence in protein and RNA binding sites, and how they can affect condensates physical properties. AvailabilityPRALINE is freely accessible on the web at http://alvinlee.bio.uniroma1.it/praline. Supplementary informationGeneral information is at http://alvinlee.bio.uniroma1.it/praline/about, where we provide a detailed description of the datasets and the tools employed in the database. Data provided in PRALINE are available at http://alvinlee.bio.uniroma1.it/praline/downloads. The tutorial is at http://alvinlee.bio.uniroma1.it/praline/tutorial.

bioinformatics↗

bioRxiv2022

A high-throughput approach to predict A-to-I effects on RNA structure indicates a change of double-stranded content in non-coding RNAs

RNA molecules undergo a number of chemical modifications whose effects can alter their structure and molecular interactions. Previous studies have shown that RNA editing can impact the formation of ribonucleoprotein complexes and influence the assembly of membrane-less organelles such as stress-granules. For instance, N6-methyladenosine (m6A) enhances SG formation and N1-methyladenosine (m1A) prevents their transition to solid-like aggregates. Yet, very little is known about adenosine to inosine (A-to-I) modification that is very abundant in human cells and not only impacts mRNAs but also non-coding RNAs. Here, we built the CROSSalive predictor of A-to-I effects on RNA structure based on high-throughput in-cell experiments. Our method shows an accuracy of 90% in predicting the single and double-stranded content of transcripts and identifies a general enrichment of double-stranded regions caused by A-to-I in long intergenic non-coding RNAs (lincRNAs). For the individual cases of NEAT1, NORAD and XIST, we investigated the relationship between A-to-I editing and interactions with RNA-binding proteins using available CLIP data. We found that A-to-I editing is linked to alteration of interaction sites with proteins involved in phase-separation, which suggests that RNP assembly can be influenced by A-to-I. CROSSalive is available at http://service.tartaglialab.com/new_submission/crossalive.

biochemistry↗