Fig. 6: Talin1 is required for T-zone reticular cell mechanosensing.
From: Multitier mechanics control stromal adaptations in the swelling lymph node

a, Quantification of LN weights in homeostasis (day 0) and inflammation (days 4 and 14) in littermate control and FRCΔTLN1 mice (left, n = 6, 7, 12, 19, 8 and 8) and same data fitted by nonlinear regression (right). b, Representative TRC networks from littermate control and FRCΔTLN1 mice in homeostasis (day 0) and at inflammation (day 4) stained for YAP/TAZ. Scale bars, 10 µm. c, Violin plots showing quantification of YAP/TAZ localization as in b (n = 35, 84, 152 and 134). d, Representative images of 3D TRC network analysis of LNs from FRC-mGFP control and FRCΔTLN1-mGFP mice in homeostasis (day 0) and inflammation (days 4 and 14). Fitted spheres are randomly colored. Imaged stack size, 100–300 µm. Scale bars, 50 µm. e, Quantification of TRC network analysis as in d. Average weighted volume fraction plotted as function of the sphere diameter (top; n = 9, 7, 15, 8, 6 and 9). Average sphere diameter (bottom). f, Quantification of cCasp-3+ TRCs in LNs from FRC-mGFP control and FRCΔTLN1-mGFP mice in homeostasis (day 0) and inflammation (days 4 and 8; n = 5, 5, 5, 5, 5 and 5). Images show the identification of an apoptotic TRC. Scale bar, 3 µm. g, Quantification of Ki67+ TRCs as in f (n = 5, 5, 5, 5, 5 and 5). Images show the identification of a proliferating TRC. Scale bar, 3 µm. Data from a, c, e (bottom), f and g are shown as the mean ± s.e.m. and e (top) as the mean. Datapoints in a represent independently measured LNs, and those in e–g represent independently measured TRC network volumes. Statistical analysis was performed using unpaired two-tailed t-test (a; left, f and g), two-tailed Fisher’s exact test (c) and one-way ANOVA (e; ln(y) transformed). All experiments were repeated independently (≥3 lymph nodes from ≥2 mice and ≥2 experiments) and data from c were pooled for each condition. For statistical details, see Supplementary Table 1. NS, not significant. *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001.