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  1. Article ; Online: Tracking the digital health gap in elderly: A study in Italian remote areas.

    Vainieri, Milena / Vandelli, Andrea / Benvenuti, Stefano Casini / Bertarelli, Gaia

    Health policy (Amsterdam, Netherlands)

    2023  Volume 133, Page(s) 104842

    Abstract: The Covid-19 pandemic has provided a major innovative thrust to public services regarding their digitization to continue providing an effective response to the population's needs and to reduce management costs. However, there has been a partial lack of ... ...

    Abstract The Covid-19 pandemic has provided a major innovative thrust to public services regarding their digitization to continue providing an effective response to the population's needs and to reduce management costs. However, there has been a partial lack of those welfare policies that can provide an adequate response to the elderly segment of the population, which is most affected by the introduction of new technologies into the public sphere. This study analyses the digital gap in health in the elderly living in remote areas of Italy and investigates the use of digital devices for health purposes. It compares the use of digital solutions for health with people's common digital competencies and their willingness to use them. A descriptive analysis of the sample was constructed to verify the different responses of the elderly by age, gender, educational qualification, and geographic area. Furthermore, regression analyses have been conducted to test whether there is any dependent effect among the elderly's characteristics or geographic areas. The results highlight the existence of a potential digital health gap among the elderly in remote areas of Italy both due to infrastructural issues and the lack of digital skills. The latter are positively correlated with educational qualification, such that it is also possible to highlight differences between age groups analysed and shape future welfare policies to reduce digital inequality.
    MeSH term(s) Humans ; Aged ; COVID-19/epidemiology ; Pandemics ; Italy/epidemiology ; Policy ; Costs and Cost Analysis
    Language English
    Publishing date 2023-05-25
    Publishing country Ireland
    Document type Journal Article
    ZDB-ID 605805-x
    ISSN 1872-6054 ; 0168-8510
    ISSN (online) 1872-6054
    ISSN 0168-8510
    DOI 10.1016/j.healthpol.2023.104842
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Phase Separation Drives SARS-CoV-2 Replication: A Hypothesis.

    Vandelli, Andrea / Vocino, Giovanni / Tartaglia, Gian Gaetano

    Frontiers in molecular biosciences

    2022  Volume 9, Page(s) 893067

    Abstract: Identifying human proteins that interact with SARS-CoV-2 genome is important to understand its replication and to identify therapeutic strategies. Recent studies have unveiled protein interactions of SARS-COV-2 in different cell lines and through a ... ...

    Abstract Identifying human proteins that interact with SARS-CoV-2 genome is important to understand its replication and to identify therapeutic strategies. Recent studies have unveiled protein interactions of SARS-COV-2 in different cell lines and through a number of high-throughput approaches. Here, we carried out a comparative analysis of four experimental and one computational studies to characterize the interactions of SARS-CoV-2 genomic RNA. Although hundreds of interactors have been identified, only twenty-one appear in all the experiments and show a strong propensity to bind. This set of interactors includes stress granule forming proteins, pre-mRNA regulators and elements involved in the replication process. Our calculations indicate that DDX3X and several editases bind the 5' end of SARS-CoV-2, a regulatory region previously reported to attract a large number of proteins. The small overlap among experimental datasets suggests that SARS-CoV-2 genome establishes stable interactions only with few interactors, while many proteins bind less tightly. In analogy to what has been previously reported for
    Language English
    Publishing date 2022-05-11
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2814330-9
    ISSN 2296-889X
    ISSN 2296-889X
    DOI 10.3389/fmolb.2022.893067
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Phase Separation Drives SARS-CoV-2 Replication

    Andrea Vandelli / Giovanni Vocino / Gian Gaetano Tartaglia

    Frontiers in Molecular Biosciences, Vol

    A Hypothesis

    2022  Volume 9

    Abstract: Identifying human proteins that interact with SARS-CoV-2 genome is important to understand its replication and to identify therapeutic strategies. Recent studies have unveiled protein interactions of SARS-COV-2 in different cell lines and through a ... ...

    Abstract Identifying human proteins that interact with SARS-CoV-2 genome is important to understand its replication and to identify therapeutic strategies. Recent studies have unveiled protein interactions of SARS-COV-2 in different cell lines and through a number of high-throughput approaches. Here, we carried out a comparative analysis of four experimental and one computational studies to characterize the interactions of SARS-CoV-2 genomic RNA. Although hundreds of interactors have been identified, only twenty-one appear in all the experiments and show a strong propensity to bind. This set of interactors includes stress granule forming proteins, pre-mRNA regulators and elements involved in the replication process. Our calculations indicate that DDX3X and several editases bind the 5′ end of SARS-CoV-2, a regulatory region previously reported to attract a large number of proteins. The small overlap among experimental datasets suggests that SARS-CoV-2 genome establishes stable interactions only with few interactors, while many proteins bind less tightly. In analogy to what has been previously reported for Xist non-coding RNA, we propose a mechanism of phase separation through which SARS-CoV-2 progressively sequesters human proteins hijacking the host immune response.
    Keywords viral RNA ; phase separation ; stress granules ; protein-RNA interactions ; RNA-binding proteins ; Biology (General) ; QH301-705.5
    Subject code 612
    Language English
    Publishing date 2022-05-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article: The Interplay Between Disordered Regions in RNAs and Proteins Modulates Interactions Within Stress Granules and Processing Bodies

    Vandelli, Andrea / Cid Samper, Fernando / Torrent Burgas, Marc / Sanchez de Groot, Natalia / Tartaglia, Gian Gaetano

    Journal of molecular biology. 2022 Jan. 15, v. 434, no. 1

    2022  

    Abstract: 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 ... ...

    Abstract 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 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 dynamic contacts modulated by unfolded domains of their components.
    Keywords RNA ; molecular biology ; organelles ; separation
    Language English
    Dates of publication 2022-0115
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 80229-3
    ISSN 1089-8638 ; 0022-2836
    ISSN (online) 1089-8638
    ISSN 0022-2836
    DOI 10.1016/j.jmb.2021.167159
    Database NAL-Catalogue (AGRICOLA)

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  5. Article ; Online: A high-throughput approach to predict A-to-I effects on RNA structure indicates a change of double-stranded content in noncoding RNAs.

    Delli Ponti, Riccardo / Broglia, Laura / Vandelli, Andrea / Armaos, Alexandros / Burgas, Marc Torrent / Sanchez de Groot, Natalia / Tartaglia, Gian Gaetano

    IUBMB life

    2022  Volume 75, Issue 5, Page(s) 411–426

    Abstract: 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 ... ...

    Abstract 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 noncoding RNAs. Here, we introduce 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 noncoding 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 and catRAPID predictions. We found that A-to-I editing is linked to the 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.
    MeSH term(s) Humans ; Adenosine/chemistry ; RNA, Untranslated/genetics ; RNA, Messenger/genetics ; RNA, Long Noncoding/genetics ; RNA, Long Noncoding/metabolism ; Inosine/metabolism
    Chemical Substances Adenosine (K72T3FS567) ; RNA, Untranslated ; RNA, Messenger ; RNA, Long Noncoding ; Inosine (5A614L51CT)
    Language English
    Publishing date 2022-09-24
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1492141-8
    ISSN 1521-6551 ; 1521-6543
    ISSN (online) 1521-6551
    ISSN 1521-6543
    DOI 10.1002/iub.2673
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Enantioseparation of chiral phytocannabinoids in medicinal cannabis.

    Russo, Fabiana / Tolomeo, Francesco / Angela Vandelli, Maria / Biagini, Giuseppe / Laganà, Aldo / Laura Capriotti, Anna / Cerrato, Andrea / Carbone, Luigi / Perrone, Elisabetta / Cavazzini, Alberto / Maiorano, Vincenzo / Gigli, Giuseppe / Cannazza, Giuseppe / Citti, Cinzia

    Journal of chromatography. B, Analytical technologies in the biomedical and life sciences

    2023  Volume 1221, Page(s) 123682

    Abstract: The evaluation of the chiral composition of phytocannabinoids in the cannabis plant is particularly important as the pharmacological effects of the (+) and (-) enantiomers of these compounds are completely different. Chromatographic attempts to assess ... ...

    Abstract The evaluation of the chiral composition of phytocannabinoids in the cannabis plant is particularly important as the pharmacological effects of the (+) and (-) enantiomers of these compounds are completely different. Chromatographic attempts to assess the presence of the minor (+) enantiomers of the main phytocannabinoids, cannabidiolic acid (CBDA) and trans-Δ
    MeSH term(s) Medical Marijuana ; Dronabinol/analysis ; Cannabinoids/analysis ; Cannabis/chemistry ; Cannabidiol/analysis
    Chemical Substances Medical Marijuana ; Dronabinol (7J8897W37S) ; cannabidiolic acid (FJX8O3OJCD) ; Cannabinoids ; Cannabidiol (19GBJ60SN5)
    Language English
    Publishing date 2023-03-21
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1180823-8
    ISSN 1873-376X ; 0378-4347 ; 1570-0232 ; 1387-2273
    ISSN (online) 1873-376X
    ISSN 0378-4347 ; 1570-0232 ; 1387-2273
    DOI 10.1016/j.jchromb.2023.123682
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: CROSSalive: a web server for predicting the in vivo structure of RNA molecules.

    Ponti, Riccardo Delli / Armaos, Alexandros / Vandelli, Andrea / Tartaglia, Gian Gaetano

    Bioinformatics (Oxford, England)

    2019  Volume 36, Issue 3, Page(s) 940–941

    Abstract: Motivation: RNA structure is difficult to predict in vivo due to interactions with enzymes and other molecules. Here we introduce CROSSalive, an algorithm to predict the single- and double-stranded regions of RNAs in vivo using predictions of protein ... ...

    Abstract Motivation: RNA structure is difficult to predict in vivo due to interactions with enzymes and other molecules. Here we introduce CROSSalive, an algorithm to predict the single- and double-stranded regions of RNAs in vivo using predictions of protein interactions.
    Results: Trained on icSHAPE data in presence (m6a+) and absence of N6 methyladenosine modification (m6a-), CROSSalive achieves cross-validation accuracies between 0.70 and 0.88 in identifying high-confidence single- and double-stranded regions. The algorithm was applied to the long non-coding RNA Xist (17 900 nt, not present in the training) and shows an Area under the ROC curve of 0.83 in predicting structured regions.
    Availability and implementation: CROSSalive webserver is freely accessible at http://service.tartaglialab.com/new_submission/crossalive.
    Supplementary information: Supplementary data are available at Bioinformatics online.
    MeSH term(s) Algorithms ; Computers ; RNA ; Sequence Analysis, RNA ; Software
    Chemical Substances RNA (63231-63-0)
    Language English
    Publishing date 2019-09-13
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1422668-6
    ISSN 1367-4811 ; 1367-4803
    ISSN (online) 1367-4811
    ISSN 1367-4803
    DOI 10.1093/bioinformatics/btz666
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: The PRALINE database: protein and Rna humAn singLe nucleotIde variaNts in condEnsates.

    Vandelli, Andrea / Arnal Segura, Magdalena / Monti, Michele / Fiorentino, Jonathan / Broglia, Laura / Colantoni, Alessio / Sanchez de Groot, Natalia / Torrent Burgas, Marc / Armaos, Alexandros / Tartaglia, Gian Gaetano

    Bioinformatics (Oxford, England)

    2023  Volume 39, Issue 1

    Abstract: Summary: Biological 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 ... ...

    Abstract Summary: Biological 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.
    Availability and implementation: PRALINE is freely accessible on the web at http://praline.tartaglialab.com.
    MeSH term(s) Humans ; RNA/metabolism ; Organelles ; Proteins/metabolism ; Nucleotides/metabolism
    Chemical Substances RNA (63231-63-0) ; Proteins ; Nucleotides
    Language English
    Publishing date 2023-02-01
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1422668-6
    ISSN 1367-4811 ; 1367-4803
    ISSN (online) 1367-4811
    ISSN 1367-4803
    DOI 10.1093/bioinformatics/btac847
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Why Me? To Be an Ultra-Responder to Antiplatelet Therapy: A Case Report.

    Rosafio, Francesca / Bigliardi, Guido / Lelli, Nicoletta / Vandelli, Laura / Naldi, Federica / Ciolli, Ludovico / Meletti, Stefano / Zini, Andrea

    Frontiers in neurology

    2021  Volume 12, Page(s) 663308

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2021-08-10
    Publishing country Switzerland
    Document type Case Reports
    ZDB-ID 2564214-5
    ISSN 1664-2295
    ISSN 1664-2295
    DOI 10.3389/fneur.2021.663308
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Zooming in on protein-RNA interactions: a multi-level workflow to identify interaction partners.

    Colantoni, Alessio / Rupert, Jakob / Vandelli, Andrea / Tartaglia, Gian Gaetano / Zacco, Elsa

    Biochemical Society transactions

    2020  Volume 48, Issue 4, Page(s) 1529–1543

    Abstract: Interactions between proteins and RNA are at the base of numerous cellular regulatory and functional phenomena. The investigation of the biological relevance of non-coding RNAs has led to the identification of numerous novel RNA-binding proteins (RBPs). ... ...

    Abstract Interactions between proteins and RNA are at the base of numerous cellular regulatory and functional phenomena. The investigation of the biological relevance of non-coding RNAs has led to the identification of numerous novel RNA-binding proteins (RBPs). However, defining the RNA sequences and structures that are selectively recognised by an RBP remains challenging, since these interactions can be transient and highly dynamic, and may be mediated by unstructured regions in the protein, as in the case of many non-canonical RBPs. Numerous experimental and computational methodologies have been developed to predict, identify and verify the binding between a given RBP and potential RNA partners, but navigating across the vast ocean of data can be frustrating and misleading. In this mini-review, we propose a workflow for the identification of the RNA binding partners of putative, newly identified RBPs. The large pool of potential binders selected by in-cell experiments can be enriched by in silico tools such as catRAPID, which is able to predict the RNA sequences more likely to interact with specific RBP regions with high accuracy. The RNA candidates with the highest potential can then be analysed in vitro to determine the binding strength and to precisely identify the binding sites. The results thus obtained can furthermore validate the computational predictions, offering an all-round solution to the issue of finding the most likely RNA binding partners for a newly identified potential RBP.
    MeSH term(s) Binding Sites ; Computer Simulation ; Protein Binding ; RNA/metabolism ; RNA-Binding Proteins/metabolism ; Reproducibility of Results
    Chemical Substances RNA-Binding Proteins ; RNA (63231-63-0)
    Keywords covid19
    Language English
    Publishing date 2020-08-20
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 184237-7
    ISSN 1470-8752 ; 0300-5127
    ISSN (online) 1470-8752
    ISSN 0300-5127
    DOI 10.1042/BST20191059
    Database MEDical Literature Analysis and Retrieval System OnLINE

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