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Supplementary data --The mutational landscape of SARS-CoV-2 variants diversifies T cell targets in an HLA supertype-dependent manner

<p>Supplementary data for the Cell Systems manuscript &#39;The mutational landscape of SARS-CoV-2 variants&nbsp;diversifies T cell targets in an HLA supertype-dependent manner&#39;, by Hamelin&nbsp;<em>et al.</em></p> <p><strong>GISAID_Authors_Recognition_2021-01-19.&nbsp;</strong>Metadata concerning the SARS-CoV-2 viral sequences analysed, and generously provided by GISAID.&nbsp;</p> <p><strong>Table S1. </strong>SARS-CoV-2 mutations identified from 330,246 GISAID entries (December 31<sup>st</sup> 2020), Related to Figure 1 and Figure 2. SARS-CoV-2 mutations at the nucleic and amino acid level are indicated. Number of genomes carrying mutation show the frequency of individual mutations among all SARS-CoV-2 variants.&nbsp;</p> <p><strong>Table S2. </strong>SARS-CoV-2 prevalent mutations identified from 330,246 GISAID entries (December 31<sup>st</sup> 2020) and detected in at least 100 individuals, Related to Figure 2.</p> <p><strong>Table S3.</strong> Previously validated SARS-CoV-2 CD8+ T cell epitopes and their matching mutated forms identified in this study, Related to Figure 1 and Figure 2.</p> <p><strong>Table S4.</strong> List of previously validated SARS-CoV-2 CD8+ T cell epitopes. Epitopes were downloaded from https://www.mckayspcb.com/SARS2TcellEpitopes/ (as of January 2021). This database has effectively catalogued all SARS-CoV-2 CD8+ epitopes validated by 18 separate studies. See Quadeer et al. 2021 for details, Related to Figure 1 and Figure 2.&nbsp;</p>

ShareScore

28/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
0
Engagement
4