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For AmSesTPS1, both sample types showed similar patterns in expression after wounding (Fig. 5a).
Both sample types showed considerable deterioration in quantities of amplifiable DNA >129 bp, as the 305 bp amplicon generated much lower quantification readings.
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The similar excited carrier diffusion lengths in the two samples are not surprising for two main reasons: first, both sample types show similar short-circuit current (Supplementary Fig. 3, EBIC is done at short-circuit condition).
By increasing fibrinogen concentration to 4 mg/mL, the zeta-potential threshold attained is almost identical for both sample types, showing that the charge in the erythrocyte surface is partially neutralized by the presence of fibrinogen.
At 3 dpi, all three sample types showed a similar probability of detecting a positive sample, but for 4 8 dpi, fecal samples showed a higher probability of detection.
The break-up into the various sample types showed that urine cultures were the predominant sample (10 970 out of 28 971) representing 37.86% of the total number.
Pairwise correlation analysis with the mean allelic ratios obtained for the genes that showed evidence of DAE in each two sample types showed high correlation across types of tissue (blood vs LCL R2 = 0.88, blood vs breast R2 = 0.80 and breast vs LCL R2 = 0.87).
PbI2 remnants in both HaP sample types show similar out-of-plane orientation, but with rather different distributions: broader peaks in azimuthal direction for control-HaP (Supplementary Fig. 8e) and sharper peaks for w/-PbI2-HaP (Supplementary Fig. 8f).
All the nitrided sample types show a peculiar surface morphology due to both plasma etching during nitriding and the presence of slip steps and relieves at grain boundaries, the latter features presumably due to the formation of the nitrided layer.
The fold ratio difference across sample types shown in Figure 2C is small, and under 0.5 for both beta-actin and HSP60, which is in agreement with geNorm, and may well have no biological importance.
Notably, our analysis based on sample type showed that using serum miR-155 as biomarker for detecting cancers yielded an overall sensitivity of 0.78 and an overall specificity of 0.77.
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