Initial relative fluorescent units (RFUs) were aquired utilizing the using Agilent Feature Extraction Software V12.0 (Agilent, Santa Clara, CA, USA) with their normalisation and calibration performed using the SomaLogic software.
No studies are available detailing the changes in HSP response to hypoglycemia on which a power calculation could be based. log2 RFU values were derived using R version 3.5.2 (R Foundation for Statistical Computing, Vienna, Austria), as documented previously [29 (link)]. Protein changes were determined using limma models that contained contrasts between timepoints, as well as contrasts between groups at single timepoints. The Benjamini–Hochberg method was used to correct limma-obtained p-values [30 (link)]. A p-value of <0.05 was considered to be significant. A visual evaluation of data trends was undertaken. The Kolmogorov–Smirnov test was used to identify non-normal data and non-parametric tests were then applied. Student’s t-test was used to compare data at each timepoint between groups and between timepoints within groups. GraphPad Prism (San Diego, CA, USA) was used for statistical analysis [27 (link),28 (link)].
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