Additional file 1: of A new high-throughput sequencing method for determining diversity and similarity of T cell receptor (TCR) α and β repertoires and identifying potential new invariant TCR α chains

Abstract

Table S1. Age, gender and chronic illness of 20 healthy individuals. Table S2. Numbers of unique reads, reads and nucleotides in TRA reads obtained from PBMCs of 20 healthy individuals. Table S3. Numbers of unique reads, reads and nucleotides in TRB reads obtained from PBMCs of 20 healthy individuals. Table S4. Percentage of mismatched nucleotides in in-frame and out-of-frame TCR sequences. Table S5. Occurrence frequency of out-of-frame unique sequence reads in TRA and TRB. Table S6. Percentage frequency of shared TRA reads between all pairs of individuals. Table S7. Percentage frequency of shared TRB reads between all pairs of individuals. Figure S1. Correlation of gene usage of TRAV, TRAJ, TRBV and TRBJ between healthy individuals. Figure S2. Concordance correlation coefficient in TRAV, TRAJ, TRBV and TRBJ. Figure S3. Comparison of TCR usages between in-frame and out-of-frame reads sequences. Figure S4. Diversity indices of in-frame and out-of-frame TRA and TRB. Figure S5. Correlation of TCR diversity with age. Figure S6. Correlation of TCR usage from a published FACS data with AL-PCR and Multiplex PCR. (DOCX 548 kb

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