Biology subjects

Tartaglia, G. G.

Publications and source records attributed to Tartaglia, G. G..

53 records · Page 3Linked to original sources

bioRxiv2022

The RNA-Binding Protein SAM68 regulates cardiomyocyte differentiation by enhancing Gata4 translation

The signal transduction and activation of RNA (STAR) family is composed of RNA-binding proteins (RBPs) that play a central role in mammalian development. Nonetheless, the functions and modes of action that STAR proteins have in lineage specification are still poorly understood. Here, we characterized the role of STAR proteins SAM68 and QUAKING (QKI) in pluripotency and differentiation by performing their depletion through CRISPR-Cas9 in mouse embryonic stem cells (mESCs). Combining RNA-sequencing, ribosome profiling and advanced computational predictions, we found that both SAM68 and QKI regulate the mESCs self-renewal and are indispensable for cardiomyocyte differentiation. At the molecular level, we discovered that SAM68 and QKI antagonistically control the expression of cardiogenic factors. Our calculations indicated that SAM68, unlike QKI, binds the cardiogenic-specific transcription factor Gata4 in a region spanning nucleotides 500 to 1000 of the mRNA corresponding to part of the 5 untranslated region and the first exon. We validated the predictions by electrophoretic mobility shift assay and RNA immunoprecipitation showing that SAM68 controls the translation of Gata4 during mESCs differentiation towards the cardiomyocyte lineage.

molecular biology↗

bioRxiv2021

Aggregation is a context-dependent constraint on protein evolution

Solubility is a requirement for many cellular processes. Loss of solubility and aggregation can lead to the partial or complete abrogation of protein function. Thus, understanding the relationship between protein evolution and aggregation is an important goal. Here, we analysed two deep mutational scanning experiments to investigate the role of protein aggregation in molecular evolution. In one data set, mutants of a protein involved in RNA biogenesis and processing, human TAR DNA binding protein 43 (TDP-43), were expressed in S. cerevisiae. In the other data set, mutants of a bacterial enzyme that controls resistance to penicillins and cephalosporins, TEM-1 beta-lactamase, were expressed in E. coli under the selective pressure of an antibiotic treatment. We found that aggregation differentiates the effects of mutations in the two different cellular contexts. Specifically, aggregation was found to be associated with increased cell fitness in the case of TDP-43 mutations, as it protects the host from aberrant interactions. By contrast, in the case of TEM-1 beta-lactamase mutations, aggregation is linked to a decreased cell fitness due to inactivation of protein function. Our study shows that aggregation is an important context-dependent constraint of molecular evolution and opens up new avenues to investigate the role of aggregation in different cellular contexts.

bioinformatics↗

bioRxiv2021

A spoonful of disorder regulates interactions within Stress Granules and Processing Bodies

Condensation, or liquid-like phase separation, is a phenomenon indispensable for the spatiotemporal regulation of molecules within the cell. Recent studies indicate that the composition and molecular organization of phase-separated organelles such as Stress Granules (SGs) and Processing Bodies (PBs) are highly variable and dynamic. A dense contact network involving both RNAs and proteins controls the formation of SGs and PBs and an intricate molecular architecture, at present poorly understood, guarantees that these assemblies sense and adapt to different stresses and environmental changes. Here, we investigated the physico-chemical properties of SGs and PBs components and studied the architecture of their interaction networks. We found that proteins and RNAs establishing the largest amount of contacts in SGs and PBs have distinct structural properties and intrinsic disorder is enriched in all protein-RNA, protein-protein and RNA-RNA interaction networks. The increase of disorder in proteins is accompanied by an enrichment in single-stranded regions of RNA binding partners. Our results suggest that SGs and PBs quickly assemble and disassemble through fuzzy-like dynamic contacts modulated by unfolded domains of their components. Research HighlightsO_LIWe systematically studied RNA-RNA, protein-protein and RNA-protein interaction networks in stress granules and processing bodies; C_LIO_LIRNAs enriched in stress granules and processing bodies are more single-stranded and form a large number of contacts with both proteins and RNAs; C_LIO_LIProteins in stress granules and processing bodies are less structured and contact larger amounts of single-stranded RNAs. C_LI

molecular biology↗

bioRxiv2021

New lessons on TDP-43 from the killifish N. furzeri

Frontotemporal dementia and amyotrophic lateral sclerosis are fatal and incurable neurodegenerative diseases linked to the pathological aggregation of the TDP-43 protein. This is an essential DNA/RNA binding protein involved in transcription regulation, pre-RNA processing and RNA transport. Having suitable animal models to study the mechanisms of TDP-43 aggregation is crucial to develop treatments against disease. We have previously demonstrated that the killifish Nothobranchius furzeri offers the unique advantage as a model system that it is an organism with compressed lifespan and a conserved ageing phenotype that develops within months, making this organism the available shortest-lived vertebrate with a clear ageing phenotype. Here, we show that the two paralogs of TDP-43 from the killifish N. furzeri share high sequence homology with the human protein and recapitulate its cellular and biophysical behaviour. We prove that, during ageing, N. furzeri TDP-43 spontaneously forms insoluble intracellular TDP-43 aggregates that have amyloid characteristics and colocalize with the stress granule core protein G3BP. Our results propose this organism as a valuable model of TDP-43-related pathologies and show that even minute differences between the human and N. furzeri proteins may help to shed new light onto the role of TDP-43 in RNA recognition and granule formation.

neuroscience↗

bioRxiv2020

rec-Y2H matrix screening reveals a vast potential for direct protein-protein interactions among RNA binding proteins

RNA-binding proteins (RBPs) are crucial factors of post-transcriptional gene regulation and their modes of action are intensely investigated. At the center of attention are RNA motifs that guide where RBPs bind. However, sequence motifs are often poor predictors of RBP-RNA interactions in vivo. It is hence believed that many RBPs recognize RNAs as complexes, to increase specificity and regulatory possibilities. To probe the potential for complex formation among RBPs, we assembled a library of 978 mammalian RBPs and used rec-Y2H screening to detect direct interactions between RBPs, sampling > 600 K interactions. We discovered 1994 new interactions and demonstrate that interacting RBPs bind RNAs adjacently in vivo. We further find that the mRNA binding region and motif preferences of RBPs can deviate, depending on their adjacently binding interaction partners. Finally, we reveal novel RBP interaction networks among major RNA processing steps and show that splicing impairing RBP mutations observed in cancer rewire spliceosomal interaction networks. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=132 SRC="FIGDIR/small/296160v2_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@7a2dc6org.highwire.dtl.DTLVardef@1533c0dorg.highwire.dtl.DTLVardef@18bb4a1org.highwire.dtl.DTLVardef@ffe601_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

bioRxiv2020

Determination of primary microRNA processing in clinicalsamples by targeted pri-miR-sequencing

MicroRNA expression is important for gene regulation and deregulated microRNA expression is often observed in disease such as cancer. The processing of primary microRNA transcripts is an important regulatory step in microRNA biogenesis. Due to low expression level and association with chromatin primary microRNAs are challenging to study in clinical samples where input material is limited. Here, we present a high-sensitivity targeted method to determine processing efficiency of several hundred primary microRNAs from total RNA using as little as 500 thousand Illumina HiSeq sequencing reads. We validate the method using RNA from HeLa cells and show the applicability to clinical samples by analyzing RNA from normal liver and hepatocellular carcinoma. We identify 24 primary microRNAs with significant changes in processing efficiency from normal liver to hepatocellular carcinoma, among those the highly expressed miRNA-122 and miRNA-21, demonstrating that differential processing of primary microRNAs is occurring and could be involved in disease. With our method presented here we provide means to study pri-miRNA processing in disease from clinical samples.

molecular biology↗

bioRxiv2020

Structural analysis of SARS-CoV-2 andprediction of the human interactome

Specific elements of viral genomes regulate interactions within host cells. Here, we calculated the secondary structure content of >2000 coronaviruses and computed >100000 human protein interactions with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The genomic regions display different degrees of conservation. SARS-CoV-2 domain encompassing nucleotides 22500 - 23000 is conserved both at the sequence and structural level. The regions upstream and downstream, however, vary significantly. This part codes for the Spike S protein that interacts with the human receptor angiotensin-converting enzyme 2 (ACE2). Thus, variability of Spike S may be connected to different levels of viral entry in human cells within the population. Our predictions indicate that the 5 end of SARS-CoV-2 is highly structured and interacts with several human proteins. The binding proteins are involved in viral RNA processing such as double-stranded RNA specific editases and ATP-dependent RNA-helicases and have strong propensity to form stress granules and phase-separated complexes. We propose that these proteins, also implicated in viral infections such as HIV, are selectively recruited by SARS-CoV-2 genome to alter transcriptional and post-transcriptional regulation of host cells and to promote viral replication.

bioinformatics↗

bioRxiv2020

RNA-Binding and Prion Domains: The Yin and Yang of Phase Separation

Biomolecular condensates are membrane-less organelles mainly composed of proteins and RNAs that organize intracellular spaces and regulate biochemical reactions. The ability of proteins and RNAs to phase separate is encoded in their sequences, yet it is still unknown which domains drive the process and what are their specific roles. Here, we systematically investigated the human and yeast proteomes to find regions promoting biomolecular condensation. Using advanced computational models to predict the phase separation propensity of proteins, we designed a set of experiments to investigate the contributions of Prion-Like Domains (PrLDs) and RNA-Binding Domains (RBDs). We found that while just one PrLD is sufficient to drive protein condensation, multiple RBDs are needed to modulate the dynamicity of the assemblies. In the case of stress granule protein Pub1 we show that the PrLD promotes sequestration of protein partners and the RBD confers liquid-like behaviour to the condensate. Our work sheds light on the fine interplay between RBDs and PrLD to regulate formation of membrane-less organelles, opening up the avenue for their manipulation.

molecular biology↗

bioRxiv2019

N1-methyladenine safeguards against aberrant RNA-protein association during proteostasis stress

Post-transcriptional modifications of nucleotide bases can effect several aspects of mRNA function. For example, the recent work has established the role of m6A in the coordinated regulation of transcriptome turnover and translation during cellular differentiation and tumorigenesis. The levels of m1A in mRNAs reach up to 10% of those of m6A, yet the functional consequences of this modification are much less clear. Here we show that N1-methyladenine protects mRNAs against aberrant interactions during heat shock and amyloidogenesis in mammalian cells. The m1A methylation motif correlated with the enhanced sequestration of transcripts in stress granules (SG). The cognate methyltransferase TRMT6/61A accumulated and m1A was enriched in SG. Downregulation of the catalytic subunit TRMT61A enhanced amyloidogenesis in the cytosol and increased bystander protein and RNA co-aggregation with A{beta} aggregates. Faulty granulation of mutant RNAs has been implicated in pathogenesis of protein aggregation disorders. Our results demonstrate that also normal mRNAs succumb to co-aggregation with proteins if RNA dynamics during stress is disturbed due to the insufficient N1-adenine methylation.

cell biology↗

bioRxiv2019

CROSSalive: a web server for predicting the in vivo structure of RNA molecules

Here we introduce CROSSalive, an algorithm to predict the RNA secondary structure profile (double and single stranded regions) in vivo and without sequence length limitations. Using predictions of protein interactions CROSSalive predicts the effect of N6 adenosine methylation (m6a) on RNA structure. Trained on icSHAPE data in presence (m6a+) and absence (m6a-) of methylation CROSSalive achieves an accuracy of 0.88 on the test set. The algorithm was also applied to the murine long non-coding RNA Xist (17900 nt, not present in the training) and shows a Pearsons correlation of 0.45 with SHAPE-map data. CROSSalive webserver is freely accessible at the following page: http://service.tartaglialab.com/new_submission/crossalive

bioinformatics↗

bioRxiv2019

Active role of free RNA during the early phase of proteostasis stress

Transient sequestration of proteins and RNA is an essential principle of cellular reaction to stress. Compared to polypeptides, less is known about the role of RNA released from polysomes during acute proteostasis stress. Using quantitative mass spectrometry, we identified a set of proteins assembled by free RNA in the heat-shocked mammalian cytosol. RNA-associated proteins displayed higher disorder and larger size, which supports the role of multivalent interactions during the initial phase of the RNA granule formation. Structural features of the free RNA interactors defined them as a subset of RNA-binding proteins. The interactome contained preferentially the active form of eIF2. The interaction between assembled proteins in vivo required RNA. The reconstitution of the association process in vitro indicated to the multimolecular basis for the increased binding to RNA upon heat shock in the cytosol. Our results reveal how free RNA can participate in reorganization of cellular functions during proteostasis stress.

cell biology↗

bioRxiv2018

Insights into the structure-driven protein interactivity of RNA molecules

The combination of high-throughput sequencing and in vivo crosslinking approaches leads to the progressive uncovering of the complex interdependence between cellular transcriptome and proteome. Yet the molecular determinants that govern interactions in protein-RNA networks are poorly known at present. Here we used the most recent experimental data to investigate the relationship between RNA structure and protein interactions. Our results show that, independently of the particular technique, the amount of structure in RNA molecules correlates with the capacity of binding to proteins in vitro and in vivo. To validate this observation, we generated an in vitro network that mimics the composition of phase-separated RNA granules. We observed that RNA, when structured, competes with protein binding and can rearrange the interaction network. The simplicity of the principle bears great potential to boost the understanding and modelling of cellular processes involving RNA-protein interactions.

molecular biology↗

bioRxiv2018

Posttranscriptional regulation of intestinal epithelial cell repair by RNA binding protein IMP1

RNA binding proteins, such as IMP1, are emerging as essential regulators of intestinal development and cancer. IMP1 hypomorphic mice exhibit severe intestinal growth defects, yet its role in adult intestinal epithelium is unclear. We employed ribosome profiling to test the effect of IMP1 loss on the \"translatome\" in colon cancer cell lines. In parallel, we evaluated mice with intestinal epithelial-specific Imp1 deletion (Imp1{Delta}IEC) following irradiation or colitis models. Ribosome-profiling revealed translation efficiency changes for multiple pathways important for intestinal homeostasis, including autophagy, in IMP1 knockout cells. We found increased autophagy flux in Imp1{Delta}IEC mice, reinforced through in silico and biochemical analyses revealing direct binding of IMP1 to autophagy transcripts MAP1LC3B and ATG3. We found that Imp1{Delta}IEC mice exhibit enhanced recovery following irradiation, which is attenuated with genetic deletion of autophagy gene Atg7. Finally, we demonstrated that IMP1 is upregulated in Crohns disease patients and Imp1 loss lessened colitis severity in mice. These studies demonstrate that IMP1 acts as a posttranscriptional regulator of gut epithelial repair post-irradiation and colitis, in part through modulation of autophagy.

physiology↗

bioRxiv2018

Insights on protein thermal stability: a graph representation of molecular interactions

Understanding the molecular mechanisms of thermal stability is a challenge in protein biology. Indeed, knowing the temperature at which proteins are stable has important theoretical implications, which are intimately linked with properties of the native fold, and a wide range of potential applications from drug design to the optimization of enzyme activity.\n\nHere, we present a novel graph-theoretical framework to assess thermal stability based on the structure without any a priori information. In our approach we describe proteins as energy-weighted graphs and compare them using ensembles of interaction networks. Investigating the position of specific interactions within the 3D native structure, we developed a parameter-free network descriptor that permits to distinguish thermostable and mesostable proteins with an accuracy of 76% and Area Under the Roc Curve of 78%.

bioinformatics↗

bioRxiv2018

Xist lncRNA forms silencing granules that induce heterochromatin formation and repressive complexes recruitment by phase separation

Main text Main text Microscopy RNA Structure Protein-RNA interactions Granule propensity Material and methods in... References Long non-coding RNAs (lncRNAs) are RNA molecules longer than 200 bases that lack coding potential1,2. They represent a significant portion of the cell transcriptome3 and work as activators or repressors of gene transcription acting on different regulatory mechanisms4-6. Indeed, lncRNAs can act as macro-scaffolds for protein recruitment7-14 and behave as guides and sponges for titrating RNA and proteins, influencing transcription at regulatory regions or triggering transcriptional interfere ...

molecular biology↗

bioRxiv2018

A method for RNA structure prediction shows evidence for structure in lncRNAs

To compare the secondary structures of RNA molecules we developed the CROSSalign method. CROSSalign is based on the combination of the Computational Recognition Of Secondary Structure (CROSS) algorithm to predict the RNA secondary structure at single-nucleotide resolution using sequence information, and the Dynamic Time Warping (DTW) method to align profiles of different lengths. We applied CROSSalign to investigate the structural conservation of long non-coding RNAs such as XIST and HOTAIR as well as ssRNA viruses including HIV. In a pool of sequences with the same secondary structure CROSSalign accurately recognizes repeat A of XIST and domain D2 of HOTAIR and outperforms other methods based on covariance modelling. CROSSalign can be applied to perform pair-wise comparisons and is able to find homologues between thousands of matches identifying the exact regions of similarity between profiles of different lengths. The algorithm is freely available at the webpage http://service.tartaglialab.com//new_submission/CROSSalign.

bioinformatics↗

bioRxiv2018

Phase Separations Driven by RNA Scaffolds and Protein Sequestration in FXTAS

Recent evidence indicates that specific RNAs promote formation of ribonucleoprotein condensates by acting as scaffolds for RNA-binding proteins (RBPs).\n\nWe systematically investigated RNA-RBP interaction networks to understand ribonucleoprotein assembly. We found that highly-contacted RNAs are highly structured, have long untranslated regions (UTRs) and contain nucleotide repeat expansions. Among the RNAs with such properties, we identified the FMR1 3 UTR that harbors CGG expansions implicated in Fragile X-associated Tremor/Ataxia Syndrome (FXTAS).\n\nWe studied FMR1 binding partners in silico and in vitro and prioritized the splicing regulator TRA2A for further characterization. In a FXTAS cellular model we validated TRA2A-FRM1 interaction and investigated implications of its sequestration at both transcriptomic and post-transcriptomic levels. We found that TRA2A co-aggregates with FMR1 in a FXTAS mouse model and in post mortem human samples.\n\nOur integrative study identifies key components of ribonucleoprotein aggregates, providing links to neurodegenerative disease and allowing the discovery of new therapeutic targets.

molecular biology↗