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        <identifier>oai:figshare.com:article/33345753</identifier>
        <datestamp>2026-09-22T09:17:40Z</datestamp>
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          <dc:title>Supporting data for “A High-Throughput, Low-Cost Platform for Paired BCR Sequencing Reveals Non-Linear Repertoire Remodelling by SARS-CoV-2 Spike Variants”</dc:title>
          <dc:creator>Fanming Jin (11116920)</dc:creator>
          <dc:subject>Humoural immunology and immunochemistry</dc:subject>
          <dc:subject>B-cell receptor repertoires</dc:subject>
          <dc:subject>BCR-Seq</dc:subject>
          <dc:subject>spike 1 protein</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This dataset contains the research data supporting the thesis titled “A High-Throughput, Low-Cost Platform for Paired BCR Sequencing Reveals Non-Linear Repertoire Remodelling by SARS-CoV-2 Spike Variants.” The research project developed a paired BCR sequencing method and applied it to investigate paired B-cell receptor (BCR) repertoire remodelling in response to SARS-CoV-2 spike sequence variation and progressive mutation accumulation. The dataset includes validation data for a newly developed murine paired BCR sequencing method, as well as processed paired BCR repertoire data and corresponding pseudovirus neutralisation assay results from mice immunised with natural SARS-CoV-2 spike variants (WT, D614G, Alpha, Beta and Omicron) and a panel of cumulative Alpha-associated spike mutants. The source data files support the BCR reptoire statistical analyses and visualisations presented in the thesis.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-22T09:17:40Z</dc:date>
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          <dc:identifier>10.25442/hku.33345753.v1</dc:identifier>
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