<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Wei Z</submitter><funding>NIEHS NIH HHS</funding><pagination>1321857</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10933113</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>6</volume><pubmed_abstract>&lt;b>Introduction:&lt;/b> Skin sensitization, which leads to allergic contact dermatitis, is a key toxicological endpoint with high occupational and consumer prevalence. This study optimized several &lt;i>in vitro&lt;/i> assays listed in OECD skin sensitization test guidelines for use on a quantitative high-throughput screening (qHTS) platform and performed &lt;i>in silico&lt;/i> model predictions to assess the skin sensitization potential of prioritized compounds from the Tox21 10K compound library. &lt;b>Methods:&lt;/b> First, we screened the entire Tox21 10K compound library using a qHTS KeratinoSens&lt;sup>TM&lt;/sup> (KS) assay and built a quantitative structure-activity relationship (QSAR) model based on the KS results. From the qHTS KS screening results, we prioritized 288 compounds to cover a wide range of structural chemotypes and tested them in the solid phase extraction-tandem mass spectrometry (SPE-MS/MS) direct peptide reactivity assay (DPRA), IL-8 homogeneous time-resolved fluorescence (HTRF) assay, CD86 and CD54 surface expression in THP1 cells, and predicted &lt;i>in silico&lt;/i> sensitization potential using the OECD QSAR Toolbox (v4.5). &lt;b>Results:&lt;/b> Interpreting tiered qHTS datasets using a defined approach showed the effectiveness and efficiency of &lt;i>in vitro&lt;/i> methods. We selected structural chemotypes to present this diverse chemical collection and to explore previously unidentified structural contributions to sensitization potential. &lt;b>Discussion:&lt;/b> Here, we provide a skin sensitization dataset of unprecedented size, along with associated tools, and analysis designed to support chemical assessments.</pubmed_abstract><journal>Frontiers in toxicology</journal><pubmed_title>Use of &amp;lt;i&amp;gt;in vitro&amp;lt;/i&amp;gt; methods combined with &amp;lt;i&amp;gt;in silico&amp;lt;/i&amp;gt; analysis to identify potential skin sensitizers in the Tox21 10K compound library.</pubmed_title><pmcid>PMC10933113</pmcid><funding_grant_id>HHSN273201500010C</funding_grant_id><pubmed_authors>Fang Y</pubmed_authors><pubmed_authors>Strickland J</pubmed_authors><pubmed_authors>Kleinstreuer NC</pubmed_authors><pubmed_authors>Xia M</pubmed_authors><pubmed_authors>Simeonov A</pubmed_authors><pubmed_authors>Xu T</pubmed_authors><pubmed_authors>Zhang L</pubmed_authors><pubmed_authors>Tao D</pubmed_authors><pubmed_authors>Wei Z</pubmed_authors><pubmed_authors>Huang R</pubmed_authors></additional><is_claimable>false</is_claimable><name>Use of &amp;lt;i&amp;gt;in vitro&amp;lt;/i&amp;gt; methods combined with &amp;lt;i&amp;gt;in silico&amp;lt;/i&amp;gt; analysis to identify potential skin sensitizers in the Tox21 10K compound library.</name><description>&lt;b>Introduction:&lt;/b> Skin sensitization, which leads to allergic contact dermatitis, is a key toxicological endpoint with high occupational and consumer prevalence. This study optimized several &lt;i>in vitro&lt;/i> assays listed in OECD skin sensitization test guidelines for use on a quantitative high-throughput screening (qHTS) platform and performed &lt;i>in silico&lt;/i> model predictions to assess the skin sensitization potential of prioritized compounds from the Tox21 10K compound library. &lt;b>Methods:&lt;/b> First, we screened the entire Tox21 10K compound library using a qHTS KeratinoSens&lt;sup>TM&lt;/sup> (KS) assay and built a quantitative structure-activity relationship (QSAR) model based on the KS results. From the qHTS KS screening results, we prioritized 288 compounds to cover a wide range of structural chemotypes and tested them in the solid phase extraction-tandem mass spectrometry (SPE-MS/MS) direct peptide reactivity assay (DPRA), IL-8 homogeneous time-resolved fluorescence (HTRF) assay, CD86 and CD54 surface expression in THP1 cells, and predicted &lt;i>in silico&lt;/i> sensitization potential using the OECD QSAR Toolbox (v4.5). &lt;b>Results:&lt;/b> Interpreting tiered qHTS datasets using a defined approach showed the effectiveness and efficiency of &lt;i>in vitro&lt;/i> methods. We selected structural chemotypes to present this diverse chemical collection and to explore previously unidentified structural contributions to sensitization potential. &lt;b>Discussion:&lt;/b> Here, we provide a skin sensitization dataset of unprecedented size, along with associated tools, and analysis designed to support chemical assessments.</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024</publication><modification>2026-06-25T03:17:55.307Z</modification><creation>2025-02-19T04:41:24.384Z</creation></dates><accession>S-EPMC10933113</accession><cross_references><pubmed>38482198</pubmed><doi>10.3389/ftox.2024.1321857</doi></cross_references></HashMap>