Abstract

Interrogation of the human proteome in a highly multiplexed and efficient manner remains a coveted and challenging goal in biology. We present a new aptamer-based proteomic technology for biomarker discovery capable of simultaneously measuring thousands of proteins from small sample volumes (15 [mu]L of serum or plasma). Our current assay allows us to measure ~800 proteins with very low limits of detection (1 pM average), 7 logs of overall dynamic range, and 5% average coefficient of variation. This technology is enabled by a new generation of aptamers that contain chemically modified nucleotides, which greatly expand the physicochemical diversity of the large randomized nucleic acid libraries from which the aptamers are selected. Proteins in complex matrices such as plasma are measured with a process that transforms a signature of protein concentrations into a corresponding DNA aptamer concentration signature, which is then quantified with a DNA microarray. In essence, our assay takes advantage of the dual nature of aptamers as both folded binding entities with defined shapes and unique sequences recognizable by specific hybridization probes. To demonstrate the utility of our proteomics biomarker discovery technology, we applied it to a clinical study of chronic kidney disease (CKD). We identified two well known CKD biomarkers as well as an additional 58 potential CKD biomarkers. These results demonstrate the potential utility of our technology to discover unique protein signatures characteristic of various disease states. More generally, we describe a versatile and powerful tool that allows large-scale comparison of proteome profiles among discrete populations. This unbiased and highly multiplexed search engine will enable the discovery of novel biomarkers in a manner that is unencumbered by our incomplete knowledge of biology, thereby helping to advance the next generation of evidence-based medicine.

Highlights

  • Interrogation of the human proteome in a highly multiplexed and efficient manner remains a coveted and challenging goal in biology

  • To demonstrate the utility of our proteomics biomarker discovery technology, we applied it to a clinical study of chronic kidney disease (CKD)

  • We describe a versatile and powerful tool that allows large-scale comparison of proteome profiles among discrete populations. This unbiased and highly multiplexed search engine will enable the discovery of novel biomarkers in a manner that is unencumbered by our incomplete knowledge of biology, thereby helping to advance the generation of evidence-based medicine

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Summary

SUMMARY

We used rationally-designed, chemically-modified nucleotides to create a new class of aptamer – Slow Offrate Modified Aptamers (SOMAmers) – to use as protein binding reagents. We developed new SELEX methods, selected high affinity SOMAmers for >800 human proteins, and developed a highly multiplexed protein affinity assay that uses standard DNA quantification technologies as the final readout. We used affinity capture to demonstrate the specificity of SOMAmers for their target proteins. Assay reproducibility was measured with multiple technical replicates of serum and plasma. We determined the limits and range of quantification of target proteins with six-point, multiplexed standard curves of purified proteins in buffer. To demonstrate the utility of our new proteomics platform to discover potential biomarkers, we profiled 614 proteins in plasma samples from subjects with early-stage and late-stage CKD. Sixty of the 614 measured proteins were significantly different between early- and latestage CKD subjects. Full Methods and any associated references are available in the Supplementary Information

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