Biology subjects

Lauria, F.

Publications and source records attributed to Lauria, F..

12 recordsLinked to original sources

bioRxiv2025

Spatiotemporal multi-omics atlas of the aging neuromuscular junction

The demographic shift toward a global aging population, coupled with rising prevalence of neurodegenerative diseases, poses major public health challenges. Aging is the primary risk factor for most neurodegenerative conditions, making the elucidation of its molecular mechanisms critical for developing effective interventions. Dysfunction of the neuromuscular junction (NMJ), the specialized synapse essential for motor function, is an early hallmark of aging and several neurodegenerative disorders, yet its molecular determinants remain incompletely understood. To shed light on potential common underlying mechanisms, we performed a spatiotemporal multi-omics analysis of the murine NMJ during aging, uncovering several genes showing decoupling between transcript and protein trajectories that may drive the related progressive motor decline. NMJs of soleus (SOL) and extensor digitorum longus (EDL) muscles, differing in fiber composition and vulnerability to aging and disease, displayed distinct spatiotemporal dynamics: fast-twitch EDL, more susceptible to degeneration, exhibited stronger mRNA-protein decoupling than aged slow-twitch SOL or younger SOL and EDL muscles. Elevated expression of miRNAs and RNA-binding proteins in aged EDL highlights the key role of post-transcriptional regulation in NMJ aging. This study provides new insights into the physiopathology of neuromuscular aging and offers a resource for investigating mechanisms shared between aging and neurodegenerative diseases. Additionally, it opens avenues for AI-driven discovery of drug targets and early biomarkers, potentially accelerating the development of therapeutic strategies.

neuroscience↗

bioRxiv2025

Empowering multiplexed ultra-throughout ribosome profiling with RiboWich

Ribosome profiling (RiboSeq) improved the understanding of mRNA translation, enabling the precise mapping of ribosome positioning along transcripts at single-nucleotide resolution. Although various library preparation protocols overcome the need for high input material, their technical complexity and limited efficiency hinder robust profiling, preventing them from keeping pace with other sequencing techniques and applications. To move towards high-throughput and single-cell RiboSeq technologies, we developed RiboWich (Ribosome sandWich). By directly ligating adaptors to ribosome-embedded RNA fragments, RiboWich eliminates the need for ribosome purification and size-selecting ribosome footprints and tackles two major bottlenecks, expanding RiboSeq for more advanced technologies. RiboWich offers robustness in profiling and excels in detecting upstream translons in immortalized and primary cells alike. By exploiting a dual-step multiplexing strategy, RiboWich enables the simultaneous profiling of at least 96 samples while retaining sensitivity and capturing condition-specific differences in translation. By enabling scalable, low-input translatome profiling, this advancement empowers proteogenomic approaches and AI/ML-driven data analysis to uncover regulatory dynamics, neoantigens, functional small translons, and drug-responsive signatures across diverse biological contexts and users. Altogether, RiboWich represents a straightforward, versatile, and scalable ribosome profiling conceptual platform that combines accessibility, sensitivity, and throughput potential, laying the foundation for advanced single-cell RiboSeq applications.

molecular biology↗

bioRxiv2025

Translation-specific disruption of Col1a1 expression in multiple models of Spinal Muscular Atrophy can be rescued by Risdiplam.

Spinal muscular atrophy (SMA) is a monogenic neurodegenerative disorder caused by decreased levels of Survival of Motor Neuron (SMN) protein. If left untreated, SMA patients have a poor prognosis, marked by the degeneration of motor neurons, progressive muscle weakness and atrophy. The approval of SMN-restoring therapies that improve symptoms and lifespan in patients with SMA has created emerging, non-neuronal phenotypes and an urgent need for deepening our understanding of disease pathogenesis. Leveraging the knowledge that SMN loss drives alterations in translation, we used multiple tissues from a mouse model of SMA to uncover early translational alterations in key mRNAs and proteins, which act as contributors to pathogenesis and hallmarks of the disease. Among hundreds of differentially translated mRNAs, Col1a1 emerged as a translation-specific manifestation of early defects in the mouse model. These findings were confirmed in fibroblasts derived from patients with varying levels of disease severity. Notably, treatment with SMN-restoring therapies rescued COL1A1 protein levels, particularly in fibroblasts from patients with the most severe forms of the disease. Overall, our study identifies COL1A1 as an indicator of disease severity in SMA, which captures early molecular alterations and respond to SMN-modifying therapies.

molecular biology↗

bioRxiv2025

Model-independent reorganization of translation in TDP-43 Amyotrophic Lateral Sclerosis

The RNA-binding protein TDP-43 is a major contributor and a pathological hallmark of Amyotrophic Lateral Sclerosis (ALS), yet how TDP-43 dysregulation mechanistically alters protein synthesis across neuronal compartments and disease models remains unclear. Here, we dissected TDP-43-driven translational alterations in both in vitro and in vivo TDP-43 models of ALS. Through ribosome and polysome profiling, computational, and biochemical analyses, we observed robust TDP-43-associated translational remodelling at cellular and subcellular resolution. Our findings reveal a conserved mechanism across models, characterized by enhanced ribosome recruitment on polysomes, elongation impairment, axonal downregulation and instability of TDP-43 target mRNAs and redistribution toward non-target transcripts. Notably, TDP-43 dysregulation alters ribosome dynamics and selectively impairs translation of TDP-43 target mRNAs, whilst favouring the translation of other transcripts. This process reflects a compensatory but maladaptive response to TDP-43-induced mRNA destabilization. Together, these data demonstrate that alterations in TDP-43 disrupts neuronal proteostasis through ribosome reorganization and loss of mRNA homeostasis, providing a unifying mechanistic framework for translational imbalance in ALS and revealing early molecular events that may underlie motor neuron vulnerability.

molecular biology↗

bioRxiv2024

Interpreting single-cell messages in normal and aberrant hematopoiesis with the Cell Marker Accordion

Single-cell technologies offer a unique opportunity to explore cellular heterogeneity in health and disease. However, reliable identification of cell types and states represents a bottleneck. Available databases and analysis tools employ dissimilar markers, leading to inconsistent annotations and poor interpretability. Furthermore, current tools focus mostly on physiological cell types, limiting their applicability to disease. We developed the Cell Marker Accordion, a user-friendly platform providing automatic annotation and unmatched biological interpretation of single-cell populations, based on consistency weighted markers. We validated our approach on multiple single-cell and spatial datasets from different human and murine tissues, improving annotation accuracy in all cases. Moreover, we show that the Cell Marker Accordion can identify disease-critical cells and pathological processes, extracting potential biomarkers in a wide variety of disease contexts. The breadth of these applications elevates the Cell Marker Accordion as a fast, flexible, faithful and standardized tool to annotate and interpret single-cell and spatial populations in studying physiology and disease.

bioinformatics↗

bioRxiv2023

Two neuronal models of TDP-43 proteinopathy display reduced axonal translation, increased oxidative stress, and defective exocytosis.

Amyotrophic lateral sclerosis (ALS) is a progressive, lethal neurodegenerative disease mostly affecting people around 50-60 years of age. TDP-43, a ubiquitously expressed RNA-binding protein involved in pre-mRNA splicing and controlling mRNA stability and translation, forms neuronal cytoplasmic inclusions in an overwhelming majority of ALS patients, of both sporadic and familial origin, a phenomenon referred to as TDP-43 proteinopathy. These cytoplasmic aggregates disrupt the subcellular transport and localization of mRNA. The axon, like dendrites, is a site of mRNA translation, permitting the local synthesis of selected proteins, both constitutively and in response to stimuli reaching the axon and presynaptic terminal. This is especially relevant in upper and lower motor neurons, whose axon spans long distances, likely accentuating their susceptibility to ALS-related noxae. In this work we have generated and characterized two models of TDP-43 proteinopathy, consisting of virtually pure populations of mouse cortical neurons expressing a human TDP-43 fusion protein, wt or mutant, which accumulates as cytoplasmic aggregates. Neurons expressing human TDP-43 exhibit a global impairment in axonal protein synthesis, an increase in oxidative stress, and defects in presynaptic function and electrical activity. These changes correlate with deregulation in the axonal levels of polysome-engaged mRNAs playing relevant roles in those processes. Our data support the emerging notion that deregulation of mRNA metabolism and of axonal mRNA transport may trigger the dying-back neuropathy that initiates motor neuron degeneration in ALS.

neuroscience↗

bioRxiv2022

Filming space-time changes of gene expression with expressyouRcell

The last decade has witnessed massive advancements in high-throughput techniques capable of producing quantifications of transcript and protein levels across time and space, and at high resolution. Yet, the large volume of big data available and the complexity of experimental designs hamper an easy understanding and effective communication of the results. Here we present expressyouRcell, a unique and easy-to-use R package to map the multi-dimensional variations of transcript and protein levels in cell-pictographs. These variations are outcomes of differential and gene set enrichment analysis across space and time. Our tool directly associates these results with up to twenty specific cellular compartments, visualising them as pictographic representations of four different cellular thematic maps. expressyouRcell visually reduces the complexity of displaying gene expression and protein level changes across multiple time-points by generating dynamic representations of cellular pictographs. We applied expressyouRcell to six datasets, demonstrating its flexibility and usability in the visualization of simple and highly effective static and dynamic representations of time course variations in gene expression. Our approach complements classical plot-based methods for visualization and exploitation of biological data, improving the standard quantitative interpretation and communication of relevant results.

bioinformatics↗

bioRxiv2020

Phospho-RNA sequencing with CircAID-p-seq

Accurate positional information concerning ribosomes and RNA binding proteins with respect to their transcripts is important to understand the global regulatory network underlying protein and RNA fate in living cells. Most footprinting approaches generate RNA fragments bearing a phosphate or cyclic phosphate groups at their 3' end. Unfortunately, all current protocols for library preparation rely only on the presence of a 3' hydroxyl group. Here, we developed circAID-p-seq, a PCR-free library preparation for 3' phospho-RNA sequencing. We applied circAID-p-seq to ribosome profiling, which produces fragments protected by ribosomes after endonuclease digestion. CircAID-p-seq, combined with the dedicated computational pipeline circAidMe, facilitates accurate, fast, highly efficient and low-cost sequencing of phospho-RNA fragments from eukaryotic cells and tissues. While assessing circAID-p-seq to portray ribosomes engaged with transcripts, we provide a versatile tool to unravel any 3'-phospho RNA molecules.

molecular biology↗

bioRxiv2020

One-shot analysis of translated mammalian lncRNAs with AHARIBO

A vast portion of the mammalian genome is transcribed as long non-coding RNAs (lncRNAs) acting in the cytoplasm with largely unknown functions. Surprisingly, lncRNAs have been shown to interact with ribosomes, encode uncharacterized proteins, or act as ribosome sponges. These functions still remain mostly undetected and understudied owing to the lack of efficient tools for genome-wide simultaneous identification of ribosome-associated lncRNAs and peptide-producing lncRNAs. Here we present AHARIBO, a method for the detection of lncRNAs either untranslated, but associated with ribosomes, or encoding small peptides. Using AHARIBO in mouse embryonic stem cells during neuronal differentiation, we isolated ribosome-protected RNA fragments, translated RNAs and corresponding de novo synthesized polypeptides. Besides identifying mRNAs under active translation and associated ribosomes, we found and distinguished lncRNAs acting as ribosome sponges or encoding micropeptides, laying the ground for a better functional understanding of hundreds lncRNAs.

cell biology↗

bioRxiv2019

SMN-primed ribosomes modulate the translation of transcripts related to Spinal Muscular Atrophy

The contribution of ribosome heterogeneity and ribosome-associated factors to the molecular control of proteomes in health and disease remains enigmatic. We demonstrate that Survival Motor Neuron (SMN) protein, loss of which causes the neuromuscular disease spinal muscular atrophy (SMA), binds to ribosomes and that this interaction is tissue-dependent. SMN-primed ribosomes are positioned within the first five codons of a set of mRNAs which are enriched in IRES-like sequences in the 5UTR and rare codons at the beginning of their coding sequence. Loss of SMN at early-stages of SMA induces translational defects in vivo, characterized by ribosome depletion in rare codons at the third and fifth position of the coding sequence. These positional defects cause ribosome depletion from mRNAs bound by SMN-primed ribosomes and translational impairment of proteins involved in motor neuron function and stability, including acetylcholinesterase. Thus, SMN plays a crucial role in the regulation of ribosome fluxes along mRNAs which encode proteins relevant to SMA pathogenesis.

neuroscience↗

bioRxiv2017

Active ribosome profiling with RiboLace

Ribosome profiling, or Ribo-Seq, is based around large-scale sequencing of RNA fragments protected from nuclease digestion by ribosomes. Thanks to its unique ability to provide positional information concerning ribosomes flowing along transcripts, this method can be used to shed light on mechanistic aspects of translation. However, current Ribo-Seq approaches lack the ability to distinguish between fragments protected by ribosomes in active translation or by inactive ribosomes. To overcome these significant limitation, we developed RiboLace: a novel method based on an original puromycin-containing molecule capable of isolating active ribosomes by means of an antibody-free and tag-free pull-down approach. RiboLace is fast, works reliably with low amounts of input material, and can be easily and rapidly applied both in vitro and in vivo, thereby generating a global snapshot of active ribosome footprints at single nucleotide resolution.

molecular biology↗

bioRxiv2017

riboWaltz: optimization of ribosome P-site positioning in ribosome profiling data

Ribosome profiling is a powerful technique used to study translation at the genome-wide level, generating unique information concerning ribosome positions along RNAs. Optimal localization of ribosomes requires the proper identification of the ribosome P-site in each ribosome protected fragment, a crucial step to determine trinucleotide periodicity of translating ribosomes, and draw correct conclusions concerning where ribosomes are located. To determine the P-site within ribosome footprints at nucleotide resolution, the precise estimation of its offset with respect to the protected fragment is necessary. Here we present riboWaltz, an R package for calculation of optimal P-site offsets, diagnostic analysis and visual inspection of data. Compared to existing tools, riboWaltz shows improved accuracies for P-site estimation and neat ribosome positioning in multiple case studies.\n\nAvailability and ImplementationriboWaltz was implemented in R and is available at https://github.com/LabTranslationalArchitectomics/RiboWaltz\n\nContactgabriella.viero@cnr.it or fabio.lauria@unitn.it

bioinformatics↗