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Fig. 4 | BMC Bioinformatics

Fig. 4

From: 3D: diversity, dynamics, differential testing – a proposed pipeline for analysis of next-generation sequencing T cell repertoire data

Fig. 4

Significantly differentiated clones detected by DESeq analysis for one treated prostate cancer subject in NeoACT study (FDR < 0.05). a Tracking plot of the 127 clones that were significantly changed from week 0 to week 2. Green and red lines represent the increased and decreased clones from baseline PBMC to post-treatment. b Boxplots of log10 of tissue T-cell repertoire clonotype count for the 83 tissue-present clonotypes that were also significantly changed from week 0 to week 2. The left and the middle boxplots present log10(tissue count) of the clones significantly decreased (n = 1) or increased (n = 82) from baseline to post-treatment, respectively. The right plot presents all tissue-present clones. c Tracking plot of the 135 clones that were significantly changed from week 0 to week 4. Green and red lines represent the increased and decreased clones from baseline PBMC to post-treatment. d Boxplots of log10 of tissue T-cell repertoire clonotype count for the 89 tissue-present clonotypes that were also significantly changed from week 0 to week 4. The left and the middle boxplots present log10(tissue count) of the clones significantly decreased (n = 0) or increased (n = 89) from baseline to post-treatment, respectively. The right plot presents all tissue-present clones

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