Assessing pre-analytical variation for more accurate proteomic data

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Results are only as good as the samples used to generate them. Good sample in, good data out. In fact, analysis of uncontrolled samples can generate misleading data and cause setbacks in research efforts that cost time, money, and possible loss of precious samples. Biological samples are inherently variable and can differ greatly in their stability. For example, DNA is relatively stable and can often withstand harsh storage conditions. Proteins, however, are particularly vulnerable to inconsistent collection methods, storage temperatures, and processing methods. It is thus critically important to minimize pre-analytical variation when preparing samples for protein assays.

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