Multiomic technologies are increasingly being used on human samples and generating multidimensional data. Preanalytical and tissue procurement factors can have a lasting and negative effect on omic results. For these data to be biologically and clinically useful, it is essential that high quality samples are obtained with rigor and reproducibility. By using kidney tissue procurement as an example, we present an end-to-end detailed pipeline from deceased donor patients from consent to tissue procurement, processing and preservation. This approach has been extensively tested on various atlasi projects and multiple tissue types including the Human Biomolecular Atlas Program (HuBMAP) and the Kidney Precision Medicine Project (KPMP).
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Jain et al. (2024) studied this question.
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