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        <identifier>oai:figshare.com:article/33328497</identifier>
        <datestamp>2026-09-22T09:04:23Z</datestamp>
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          <dc:title>Supporting data for "Functional Characterization and Specificity Investigation of anti-LANCL1 antibodies for treating Hepatocellular Carcinoma"</dc:title>
          <dc:creator>Chui Yee Diana O (18992387)</dc:creator>
          <dc:subject>Solid tumours</dc:subject>
          <dc:subject>Applied immunology (incl. antibody engineering, xenotransplantation and t-cell therapies)</dc:subject>
          <dc:subject>antibody</dc:subject>
          <dc:subject>LANCL1</dc:subject>
          <dc:subject>Hepatocellular carcinoma</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This dataset comprises the complete set of experimental results from a study investigating the characterization and functional evaluation of novel anti-LANCL1 monoclonal antibodies, as well as their humanized variants, in hepatocellular carcinoma (HCC) models. The study encompasses a broad range of in vitro and in vivo assays designed to assess antibody specificity, binding affinity, biological activity, and off-target profiles. Specifically, the dataset includes Western blot validation of 20 proprietary anti-LANCL1 antibody clones targeting the LANCL1₁–₄₂ peptide, flow cytometric analyses of cell surface LANCL1 expression across multiple HCC cell lines, and ELISA-based determination of binding affinity. Functional assays are also provided, including sphere formation assays to evaluate the effects of antibodies on cancer cell self-renewal, cytotoxicity assays assessing antibody-induced cell death, and transwell migration and invasion assays. In vivo data from an orthotopic mouse model treated with 19G4 antibody are included, along with western blot analyses of key signaling pathways affected by antibody treatment. For the humanization study, the dataset contains surface plasmon resonance affinity data for nine humanized antibody variants and a chimeric antibody, as well as sphere formation assays and flow cytometry-based binding and specificity analyses using LANCL1-knockdown cells. Finally, the dataset includes proteomic and structural analyses identifying potential LANCL1 binding partners and off-target candidates, with enrichment calculations, Venn diagram comparisons, TM-score distributions, and three-dimensional structural superpositions of LANCL1 with non-specific proteins. All raw data, processed data, statistical analyses, and visualization files are organized in clearly labeled folders, with detailed calculation procedures provided in accompanying Excel files and graphical summaries available in Prism files.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-22T09:04:23Z</dc:date>
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          <dc:identifier>10.25442/hku.33328497.v1</dc:identifier>
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          <dc:rights>CC BY-NC 4.0</dc:rights>
          <dc:rights>Open Access after 2028-08-25</dc:rights>
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