Assessment of Variability in the SOMAscan Assay

By Julián Candia, Foo Cheung, Yuri Kotliarov, G. Fantoni, B. Sellers, Trevor Griesman, Jinghe Huang, Sarah Stuccio, Adriana Zingone, Bríd Ryan and 2 more. Scientific Reports, 2017

348 citations recorded by the source corpus.

SOMAscan is an aptamer-based proteomics assay capable of measuring 1,305 human protein analytes in serum, plasma, and other biological matrices with high sensitivity and specificity. In this work, we present a comprehensive meta-analysis of performance based on multiple serum and plasma runs using the current 1.3 k assay, as well as the previous 1.1 k version. We discuss normalization procedures and examine different strategies to minimize intra- and interplate nuisance effects. We implement a meta-analysis based on calibrator samples to characterize the coefficient of variation and signal-over-background intensity of each protein analyte. By incorporating coefficient of variation estimates into a theoretical model of statistical variability, we also provide a framework to enable rigorous statistical tests of significance in intervention studies and clinical trials, as well as quality control within and across laboratories. Furthermore, we investigate the stability of healthy subject baselines and determine the set of analytes that exhibit biologically stable baselines after technical variability is factored in. This work is accompanied by an interactive web-based tool, an initiative with the potential to become the cornerstone of a regularly updated, high quality repository with data sharing, reproducibility, and reusability as ultimate goals.

Subfields: Ecology, Evolution, Behavior and Systematics, Forestry, Management, Monitoring, Policy and Law

View Paper: https://www.semanticscholar.org/paper/8cac3d4735a590953b896f161d53b87b94640dc4

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Citations in the corpus

• Aptamers in the Therapeutics and Diagnostics Pipelines (2018, background): “SOMAscan is a highly versatile platform with the ability to detect and quantify >1,300 proteins simultaneously from a small volume (~50 μL) of clinical sample [99-103].”