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  • Authors: Boyer, Pierre, C; Gerschel, Elie; Raj, Anasuya;

    Summary:The European economic union is incomplete, which makes it vulnerable to macroeconomic shocks. The opportunity to move forward in the integration process was highly debated even before the Covid-19 crisis.Yet the diverging views among countries and political groups are often considered as an obstacle on the path to required agreements for completing the Economic and Monetary Union (EMU). We present the results of a survey conducted in 2018 among members of national parliaments (MPs) in France, Germany and Italy on European integration in policy fields related to risk-sharing and budgetary institutions, asking for their opinion on proposals such as the creation of a European Unemployment Insurance (EUI), Eurobonds, or an EU tax. We find that nationality and political groups are key determinants of support for such proposals, the latter being the strongest. We describe how opinions are divided and try to identify policy proposals which could gather enough political support. The agreement reached on July 21st, 2020 at the last European summit includes financial transfers between States and the creation of Eurobonds, thus representing an important institutional move and an application of some of the reforms suggested by our survey. Yet what has been decided upon is only temporary and leaves open the question of the future of European integration.Key points: At first glance, the answers show diverging opinions on most questions between countries with Italy supporting more integration, and Germany opposing it for most proposals. France has an intermediate position, leaning towards Italy. A breakdown of the results by party affiliation shows a more nuanced picture. For cross-country comparisons, we build a party indicator using the affiliation of national parties to European political groups. National MPs associated with the group of Socialists and Democrats (S&D) at the European level show strong support for the creation of new fiscal institutions and a new EU tax, and for risk sharing institutions (European Unemployment Insurance, Eurobonds). On the contrary, MPs associated with the European People’s Party (EPP) are mildly positive or against risk-sharing and fiscal institutions. National MPs affiliated to Renew Europe hold similar views to S&D MPs, but are less supportive of risk-sharing mechanisms. There is a substantial diversity of positions between the German AfD, the Italian Lega and the 5-star movement: the three parties have diverging views on the future of integration. Our econometric analysis shows that party affiliations have more explanatory power than nationality for all questions. This clearly shows that outcomes of national parliamentary elections could change the overall support for any issue.; Summary:The European economic union is incomplete, which makes it vulnerable to macroeconomic shocks. The opportunity to move forward in the integration process was highly debated even before the Covid-19 crisis.Yet the diverging views among countries and political groups are often considered as an obstacle on the path to required agreements for completing the Economic and Monetary Union (EMU). We present the results of a survey conducted in 2018 among members of national parliaments (MPs) in France, Germany and Italy on European integration in policy fields related to risk-sharing and budgetary institutions, asking for their opinion on proposals such as the creation of a European Unemployment Insurance (EUI), Eurobonds, or an EU tax. We find that nationality and political groups are key determinants of support for such proposals, the latter being the strongest. We describe how opinions are divided and try to identify policy proposals which could gather enough political support. The agreement reached on July 21st, 2020 at the last European summit includes financial transfers between States and the creation of Eurobonds, thus representing an important institutional move and an application of some of the reforms suggested by our survey. Yet what has been decided upon is only temporary and leaves open the question of the future of European integration.Key points: At first glance, the answers show diverging opinions on most questions between countries with Italy supporting more integration, and Germany opposing it for most proposals. France has an intermediate position, leaning towards Italy. A breakdown of the results by party affiliation shows a more nuanced picture. For cross-country comparisons, we build a party indicator using the affiliation of national parties to European political groups. National MPs associated with the group of Socialists and Democrats (S&D) at the European level show strong support for the creation of new fiscal institutions and a new EU tax, and for risk sharing institutions (European Unemployment Insurance, Eurobonds). On the contrary, MPs associated with the European People’s Party (EPP) are mildly positive or against risk-sharing and fiscal institutions. National MPs affiliated to Renew Europe hold similar views to S&D MPs, but are less supportive of risk-sharing mechanisms. There is a substantial diversity of positions between the German AfD, the Italian Lega and the 5-star movement: the three parties have diverging views on the future of integration. Our econometric analysis shows that party affiliations have more explanatory power than nationality for all questions. This clearly shows that outcomes of national parliamentary elections could change the overall support for any issue.

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  • Authors: Vazquez, Sara; Mann, Sabrina; Bodansky, Aaron; Kung, Andrew; +27 Authors

    Phage Immunoprecipitation-Sequencing (PhIP-Seq) allows for unbiased, proteome-wide autoantibody discovery across a variety of disease settings, with identification of disease-specific autoantigens providing new insight into previously poorly understood forms of immune dysregulation. Despite several successful implementations of PhIP-Seq for autoantigen discovery, including our previous work (Vazquez et al. 2020), current protocols are inherently difficult to scale to accommodate large cohorts of cases and importantly, healthy controls. Here, we develop and validate a high throughput extension of PhIP-seq in various etiologies of autoimmune and inflammatory diseases, including APS1, IPEX, RAG1/2 deficiency, Kawasaki Disease (KD), Multisystem Inflammatory Syndrome in Children (MIS-C), and finally, mild and severe forms of COVID-19. We demonstrate that these scaled datasets enable machine-learning approaches that result in robust prediction of disease status, as well as the ability to detect both known and novel autoantigens, such as PDYN in APS1 patients, and intestinally expressed proteins BEST4 and BTNL8 in IPEX patients. Remarkably, BEST4 antibodies were also found in 2 patients with RAG1/2 deficiency, one of whom had very early onset IBD. Scaled PhIP-Seq examination of both MIS-C and KD demonstrated rare, overlapping antigens, including CGNL1, as well as several strongly enriched putative pneumonia-associated antigens in severe COVID-19, including the endosomal protein EEA1. Together, scaled PhIP-Seq provides a valuable tool for broadly assessing both rare and common autoantigen overlap between autoimmune diseases of varying origins and etiologies. DNA libraries were barcoded and amplified, gel purified, and subjected to Next-Generation Sequencing on an Illumina NovaSeq Instrument (Illumina, San Diego, CA). Sequencing reads from raw fastq files (see: fastq files) were aligned to the reference library (see: reference.fasta) using RAPSearch2. Analyses are described in the linked manuscript. Briefly, for gene-level analysis, all peptide counts mapping to the same gene are summed. 0.5 reads are added to all genes, and raw reads are normalized by converting to percentage of total reads per sample (for peptide sequences and peptide-to-gene conversion, see: peptide_gene_mapping.csv). Fold change over mock-IP (FC) is calculated on a gene-by-gene basis by dividing sample read percentage by mean read percentage in corresponding AG bead-only samples. Z-scores are calculated using FC values; for each disease sample by using all corresponding healthy controls, and for each healthy control samples by using all other healthy controls. Sample information is available in the accompanying .csv files (see: metadata csv files).

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  • Authors: Gerschel, Elie; Martinez, Alejandra; Mejean, Isabelle;

    International audience; Before spreading globally, the Covid-19 epidemic was concentrated in the Hubei province. To contain the spread of the virus, the Chinese government has imposed quarantine measures and travel restrictions, entailing the slowdown of economic activity. We study the propagation of this geographically concentrated productivity slowdown to the global economy, through global value chains. Reliance on Chinese inputs has dramatically increased since the early 2000s. As a consequence, most countries are exposed to the Chinese productivity slowdown, both directly through their imports of Chinese inputs and indirectly, through other inputs themselves produced with some Chinese value added. This note aims at quantifying the total exposure of France compared to other countries. First, we compute the share of Chinese value added in French production. Then, we use data at the country and sector levels to quantify the impact of travel restrictions on French GDP.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Valentin Sencio; Nicolas Benech; François Trottein; Cyril Robil; +7 Authors

    This dataset contains all data collected and used for the publication : "Alteration of the gut microbiota’s composition and metabolic output correlates with COVID-19-like severity in obese NASH hamsters". Besides the Readme, it contains 11 files. Excel files with classification (i.e. genes according to their fold induction or repression) are provided. Data include different conditions with varying number of samples per group. Data are structured according to employed methods and then stratify the data obtained within the individual work packages. {"references": ["Genepattern"]}

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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    ZENODO
    Dataset . 2022
    License: CC BY
    Data sources: ZENODO
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2022
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    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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      ZENODO
      Dataset . 2022
      License: CC BY
      Data sources: ZENODO
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      ZENODO
      Dataset . 2022
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The following results are related to COVID-19. Are you interested to view more results? Visit OpenAIRE - Explore.
  • Authors: Boyer, Pierre, C; Gerschel, Elie; Raj, Anasuya;

    Summary:The European economic union is incomplete, which makes it vulnerable to macroeconomic shocks. The opportunity to move forward in the integration process was highly debated even before the Covid-19 crisis.Yet the diverging views among countries and political groups are often considered as an obstacle on the path to required agreements for completing the Economic and Monetary Union (EMU). We present the results of a survey conducted in 2018 among members of national parliaments (MPs) in France, Germany and Italy on European integration in policy fields related to risk-sharing and budgetary institutions, asking for their opinion on proposals such as the creation of a European Unemployment Insurance (EUI), Eurobonds, or an EU tax. We find that nationality and political groups are key determinants of support for such proposals, the latter being the strongest. We describe how opinions are divided and try to identify policy proposals which could gather enough political support. The agreement reached on July 21st, 2020 at the last European summit includes financial transfers between States and the creation of Eurobonds, thus representing an important institutional move and an application of some of the reforms suggested by our survey. Yet what has been decided upon is only temporary and leaves open the question of the future of European integration.Key points: At first glance, the answers show diverging opinions on most questions between countries with Italy supporting more integration, and Germany opposing it for most proposals. France has an intermediate position, leaning towards Italy. A breakdown of the results by party affiliation shows a more nuanced picture. For cross-country comparisons, we build a party indicator using the affiliation of national parties to European political groups. National MPs associated with the group of Socialists and Democrats (S&D) at the European level show strong support for the creation of new fiscal institutions and a new EU tax, and for risk sharing institutions (European Unemployment Insurance, Eurobonds). On the contrary, MPs associated with the European People’s Party (EPP) are mildly positive or against risk-sharing and fiscal institutions. National MPs affiliated to Renew Europe hold similar views to S&D MPs, but are less supportive of risk-sharing mechanisms. There is a substantial diversity of positions between the German AfD, the Italian Lega and the 5-star movement: the three parties have diverging views on the future of integration. Our econometric analysis shows that party affiliations have more explanatory power than nationality for all questions. This clearly shows that outcomes of national parliamentary elections could change the overall support for any issue.; Summary:The European economic union is incomplete, which makes it vulnerable to macroeconomic shocks. The opportunity to move forward in the integration process was highly debated even before the Covid-19 crisis.Yet the diverging views among countries and political groups are often considered as an obstacle on the path to required agreements for completing the Economic and Monetary Union (EMU). We present the results of a survey conducted in 2018 among members of national parliaments (MPs) in France, Germany and Italy on European integration in policy fields related to risk-sharing and budgetary institutions, asking for their opinion on proposals such as the creation of a European Unemployment Insurance (EUI), Eurobonds, or an EU tax. We find that nationality and political groups are key determinants of support for such proposals, the latter being the strongest. We describe how opinions are divided and try to identify policy proposals which could gather enough political support. The agreement reached on July 21st, 2020 at the last European summit includes financial transfers between States and the creation of Eurobonds, thus representing an important institutional move and an application of some of the reforms suggested by our survey. Yet what has been decided upon is only temporary and leaves open the question of the future of European integration.Key points: At first glance, the answers show diverging opinions on most questions between countries with Italy supporting more integration, and Germany opposing it for most proposals. France has an intermediate position, leaning towards Italy. A breakdown of the results by party affiliation shows a more nuanced picture. For cross-country comparisons, we build a party indicator using the affiliation of national parties to European political groups. National MPs associated with the group of Socialists and Democrats (S&D) at the European level show strong support for the creation of new fiscal institutions and a new EU tax, and for risk sharing institutions (European Unemployment Insurance, Eurobonds). On the contrary, MPs associated with the European People’s Party (EPP) are mildly positive or against risk-sharing and fiscal institutions. National MPs affiliated to Renew Europe hold similar views to S&D MPs, but are less supportive of risk-sharing mechanisms. There is a substantial diversity of positions between the German AfD, the Italian Lega and the 5-star movement: the three parties have diverging views on the future of integration. Our econometric analysis shows that party affiliations have more explanatory power than nationality for all questions. This clearly shows that outcomes of national parliamentary elections could change the overall support for any issue.

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  • Authors: Vazquez, Sara; Mann, Sabrina; Bodansky, Aaron; Kung, Andrew; +27 Authors

    Phage Immunoprecipitation-Sequencing (PhIP-Seq) allows for unbiased, proteome-wide autoantibody discovery across a variety of disease settings, with identification of disease-specific autoantigens providing new insight into previously poorly understood forms of immune dysregulation. Despite several successful implementations of PhIP-Seq for autoantigen discovery, including our previous work (Vazquez et al. 2020), current protocols are inherently difficult to scale to accommodate large cohorts of cases and importantly, healthy controls. Here, we develop and validate a high throughput extension of PhIP-seq in various etiologies of autoimmune and inflammatory diseases, including APS1, IPEX, RAG1/2 deficiency, Kawasaki Disease (KD), Multisystem Inflammatory Syndrome in Children (MIS-C), and finally, mild and severe forms of COVID-19. We demonstrate that these scaled datasets enable machine-learning approaches that result in robust prediction of disease status, as well as the ability to detect both known and novel autoantigens, such as PDYN in APS1 patients, and intestinally expressed proteins BEST4 and BTNL8 in IPEX patients. Remarkably, BEST4 antibodies were also found in 2 patients with RAG1/2 deficiency, one of whom had very early onset IBD. Scaled PhIP-Seq examination of both MIS-C and KD demonstrated rare, overlapping antigens, including CGNL1, as well as several strongly enriched putative pneumonia-associated antigens in severe COVID-19, including the endosomal protein EEA1. Together, scaled PhIP-Seq provides a valuable tool for broadly assessing both rare and common autoantigen overlap between autoimmune diseases of varying origins and etiologies. DNA libraries were barcoded and amplified, gel purified, and subjected to Next-Generation Sequencing on an Illumina NovaSeq Instrument (Illumina, San Diego, CA). Sequencing reads from raw fastq files (see: fastq files) were aligned to the reference library (see: reference.fasta) using RAPSearch2. Analyses are described in the linked manuscript. Briefly, for gene-level analysis, all peptide counts mapping to the same gene are summed. 0.5 reads are added to all genes, and raw reads are normalized by converting to percentage of total reads per sample (for peptide sequences and peptide-to-gene conversion, see: peptide_gene_mapping.csv). Fold change over mock-IP (FC) is calculated on a gene-by-gene basis by dividing sample read percentage by mean read percentage in corresponding AG bead-only samples. Z-scores are calculated using FC values; for each disease sample by using all corresponding healthy controls, and for each healthy control samples by using all other healthy controls. Sample information is available in the accompanying .csv files (see: metadata csv files).

    DRYADarrow_drop_down
    DRYAD
    Dataset . 2022
    License: CC 0
    Data sources: Datacite
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      DRYADarrow_drop_down
      DRYAD
      Dataset . 2022
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  • Authors: Gerschel, Elie; Martinez, Alejandra; Mejean, Isabelle;

    International audience; Before spreading globally, the Covid-19 epidemic was concentrated in the Hubei province. To contain the spread of the virus, the Chinese government has imposed quarantine measures and travel restrictions, entailing the slowdown of economic activity. We study the propagation of this geographically concentrated productivity slowdown to the global economy, through global value chains. Reliance on Chinese inputs has dramatically increased since the early 2000s. As a consequence, most countries are exposed to the Chinese productivity slowdown, both directly through their imports of Chinese inputs and indirectly, through other inputs themselves produced with some Chinese value added. This note aims at quantifying the total exposure of France compared to other countries. First, we compute the share of Chinese value added in French production. Then, we use data at the country and sector levels to quantify the impact of travel restrictions on French GDP.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Valentin Sencio; Nicolas Benech; François Trottein; Cyril Robil; +7 Authors

    This dataset contains all data collected and used for the publication : "Alteration of the gut microbiota’s composition and metabolic output correlates with COVID-19-like severity in obese NASH hamsters". Besides the Readme, it contains 11 files. Excel files with classification (i.e. genes according to their fold induction or repression) are provided. Data include different conditions with varying number of samples per group. Data are structured according to employed methods and then stratify the data obtained within the individual work packages. {"references": ["Genepattern"]}

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2022
    License: CC BY
    Data sources: ZENODO
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2022
    License: CC BY
    Data sources: Datacite
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    BIP!Powered by BIP!
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    downloaddownloads64
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Dataset . 2022
      License: CC BY
      Data sources: ZENODO
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Dataset . 2022
      License: CC BY
      Data sources: Datacite
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