<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Batisti Biffignandi G</submitter><funding>Ministero della Salute</funding><funding>Ministero dell’Istruzione, dell’Università e della Ricerca</funding><pagination>e0011210</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10096192</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>17(4)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Cystic echinococcosis (CE), caused by Echinococcus granulosus sensu lato, is a neglected zoonosis. Its diagnosis relies on imaging, supported by serology, while only imaging is useful for staging and follow-up. Since diagnostic tools and expertise are not widely available, new accurate and easily implementable assays for the diagnosis and follow-up of CE are highly needed.&lt;h4>Methodology/principal findings&lt;/h4>We aimed to identify new E. granulosus antigens through a bioinformatics selection applied to the parasite genome, followed by peptide microarray screening and validation in ELISA, using independent panels of sera from patients with hepatic CE and clinically relevant controls. From 950 proteins selected in silico, 2,379 peptides were evaluated by microarray for IgG</pubmed_abstract><journal>PLoS neglected tropical diseases</journal><pubmed_title>Antigen discovery by bioinformatics analysis and peptide microarray for the diagnosis of cystic echinococcosis.</pubmed_title><pmcid>PMC10096192</pmcid><funding_grant_id>Linea 1-Ricerca Corrente to INMI</funding_grant_id><funding_grant_id>Dipartimenti di Eccellenza Program</funding_grant_id><funding_grant_id>Ricerca Corrente L3P2 to Sacro Cuore Don Calabria Hospital</funding_grant_id><funding_grant_id>GR-2016-02361497</funding_grant_id><pubmed_authors>Vola A</pubmed_authors><pubmed_authors>Brunetti E</pubmed_authors><pubmed_authors>Tamarozzi F</pubmed_authors><pubmed_authors>Najafi-Fard S</pubmed_authors><pubmed_authors>Teggi A</pubmed_authors><pubmed_authors>Batisti Biffignandi G</pubmed_authors><pubmed_authors>Sassera D</pubmed_authors><pubmed_authors>Petrone L</pubmed_authors><pubmed_authors>Goletti D</pubmed_authors><pubmed_authors>Gomez Morales MA</pubmed_authors></additional><is_claimable>false</is_claimable><name>Antigen discovery by bioinformatics analysis and peptide microarray for the diagnosis of cystic echinococcosis.</name><description>&lt;h4>Background&lt;/h4>Cystic echinococcosis (CE), caused by Echinococcus granulosus sensu lato, is a neglected zoonosis. Its diagnosis relies on imaging, supported by serology, while only imaging is useful for staging and follow-up. Since diagnostic tools and expertise are not widely available, new accurate and easily implementable assays for the diagnosis and follow-up of CE are highly needed.&lt;h4>Methodology/principal findings&lt;/h4>We aimed to identify new E. granulosus antigens through a bioinformatics selection applied to the parasite genome, followed by peptide microarray screening and validation in ELISA, using independent panels of sera from patients with hepatic CE and clinically relevant controls. From 950 proteins selected in silico, 2,379 peptides were evaluated by microarray for IgG</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Apr</publication><modification>2025-04-05T11:29:26.734Z</modification><creation>2025-02-18T23:40:45.382Z</creation></dates><accession>S-EPMC10096192</accession><cross_references><pubmed>37043489</pubmed><doi>10.1371/journal.pntd.0011210</doi></cross_references></HashMap>