TL in PBMCs and clusters identified by Flow-SOM in CD3+ and CD3– populations. TL was measured in PBMCs by southern blot of TRFs, and germ line variants were identified by next-generation sequencing or Sanger sequencing. Stained PBMCs were gated for CD3+ and CD3–, then automatically clustered by Flow-SOM algorithm. The resulting populations were visualized by viSNE maps. (A) TL (kilobase) for each subject included in the study, according to age and, in case of patients, affected genes. (B-C) Fourteen subsets identified in CD3+, and 15 subsets identified in CD3– cells, respectively, in healthy controls and patients with TBD (155 000 events each). DC, dendritic cell; DN, double-negative; NK, natural killer; TEM, T effector memory; TEMRA, T effector memory CD45RA+; Th, T helper; tSNE1, t-distributed stochastic neighbor embedding.
Figure 1.

TL in PBMCs and clusters identified by Flow-SOM in CD3+ and CD3 populations. TL was measured in PBMCs by southern blot of TRFs, and germ line variants were identified by next-generation sequencing or Sanger sequencing. Stained PBMCs were gated for CD3+ and CD3, then automatically clustered by Flow-SOM algorithm. The resulting populations were visualized by viSNE maps. (A) TL (kilobase) for each subject included in the study, according to age and, in case of patients, affected genes. (B-C) Fourteen subsets identified in CD3+, and 15 subsets identified in CD3 cells, respectively, in healthy controls and patients with TBD (155 000 events each). DC, dendritic cell; DN, double-negative; NK, natural killer; TEM, T effector memory; TEMRA, T effector memory CD45RA+; Th, T helper; tSNE1, t-distributed stochastic neighbor embedding.

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