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Molecular BiologyScientific Reports
Peer-reviewed journal article

Assessment of Variability in the Plasma 7k SomaScan Proteomics Assay

Julián CandiaiD, Gulzar N. DayaiD, Toshiko TanakaiD, Luigi FerrucciiD, Keenan A. WalkeriD

Abstract

SomaScan is a high-throughput, aptamer-based proteomics assay designed for the simultaneous measurement of thousands of proteins with a broad range of endogenous concentrations. In its most current version, the 7k SomaScan assay v4.1 is capable of measuring 7,288 human proteins. In this work, we present an extensive technical assessment of this platform based on a study of 2,050 samples across 22 plates. Included in the study design were inter-plate technical duplicates from 102 human subjects, which allowed us to characterize different normalization procedures, evaluate assay variability by multiple analytical approaches, present signal-over-background metrics, and discuss potential specificity issues. By providing detailed performance assessments on this wide range of technical aspects, we aim for this work to serve as a valuable resource for the growing community of SomaScan users.

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Claude Opus 5.5 · xhigh effort · 8 Nov 2026 · from the full text of version 1 (15 Sept 2022) · CC0 1.0

Using inter-plate duplicates from 102 donors, a self-contained normalization of the 7k SomaScan plasma assay yields median CV 4.5% across 7,288 human-protein SOMAmers.

SomaScan coverage has grown to about 7,000 proteins, but comprehensive technical evaluations existed only for earlier versions, such as the authors' prior NIH study of the 1.1k and 1.3k assays. This study adds an internal-reference normalization pipeline (SomaLogic does not ship its external references to users), duplicate-based variability benchmarks for the 7k assay, and buffer-referenced checks of sensitivity and control-aptamer signal.

Key results

  1. ShownNormalization that ended with median signal normalization of every sample type, applied after calibrator-based inter-plate correction, gave the lowest discordance between technical duplicates on every duplicate metric and on grid-search CV estimates, compared with the less processed levels.

    Fully normalized data, median ± MAD across 7,288 human-protein SOMAmers from 102 inter-plate duplicate pairs: RMSV 5.42 ± 2.13%, MADV 4.79 ± 1.80%, PV 4.20 ± 1.56%, in the order theory predicts. In PCA without buffer wells, PC1 variance after normalization was less than half that of raw data, and PC2 separated experimental from control samples. · Results; Discussion; Figure legends

  2. ShownPer-SOMAmer coefficient of variation (CV) was estimated by a grid search that fits log-normal fold-change models to the duplicate data using one-sample Kolmogorov-Smirnov tests. CV was low overall, differed by dilution group and correlated with signal-to-background ratio (SBR).

    CV median ± MAD: 4.5 ± 1.5% overall; 4.5 ± 1.5% (20% dilution, n = 6001), 4.0 ± 1.5% (0.5%, n = 1100), 6.5 ± 2.2% (0.005%, n = 187); pairwise Wilcoxon adjusted p < 0.05. CV vs SBR: Spearman r = 0.35 (p = 4 × 10^−210), driven mainly by the 20% group (r = 0.43); no significant correlation in the 0.005% group. · Results; Discussion; Figure legends

  3. ShownA five-step normalization built only on references derived from the data themselves matched SomaLogic's external-reference output. The steps are hybridization, calibrator median-signal, plate-scale, inter-plate calibration and all-sample median-signal normalization.

    For every human-protein SOMAmer, the Spearman RFU correlation across experimental samples between fully normalized internal-reference and external-reference data was r ≥ 0.95 (p ≈ 0). Because Spearman correlation is rank-based, this holds under monotonic transforms such as log. · Data Normalization Procedures; 5. Median signal normalization on all sample…; Discussion

  4. ShownThe 7k assay was highly sensitive compared with buffer-only wells. Nearly all human-protein SOMAmers sat well above background, and very few fell below an estimated limit of detection (eLoD) derived from buffer wells.

    99.1% of human-protein SOMAmers were >2-fold brighter in experimental samples than in buffer wells; 68.8% were 5-fold and 43.8% were 10-fold or more brighter. Median SBR was 8.1 ± 7.2 (median ± MAD). Only seven SOMAmers (e.g., Caspase-14, DC-SIGNR) had median experimental RFU below eLoD. · Results; Discussion

  5. SuggestedNegative controls expected at buffer level, chiefly non-biotin SOMAmers and spuriomers, gave excess signal in a significant fraction of plasma samples. The authors infer some low-range RFUs may be spurious and that the vendor's 10-order dynamic range claim is open to further scrutiny.

    Hybridization controls (n = 12) matched buffer, as expected. All non-cleavable controls (n = 4) and most spuriomers (n = 20) had SBR < 2, some spuriomers reached SBR 2-3, and non-biotin controls (n = 10) were higher still. Measured range was 1.2 × 10^9-fold over 1,799 samples; if low RFUs are unreliable, the authors argue the effective range would shrink by a further 1-2 orders of magnitude. · Results; Discussion; Figure legends

Methods, data and reproducibility

Plasma from Baltimore Longitudinal Study of Aging (BLSA) participants was run on 7k SomaScan v4.1 across 22 plates. A five-step internal-reference normalization was assessed on 102 inter-plate duplicate pairs using PCA, three duplicate-based variability metrics and a Kolmogorov-Smirnov grid-search CV estimator, plus SBR and eLoD derived from buffer wells.

  • All wells profiled with 7k SomaScan v4.1 across 22 plates (buffer, calibrator, QC and BLSA plasma) · human · n = 2,050 samples
  • BLSA participant plasma samples; 7 outliers removed after experimental issues and PCA review · human · n = 1,806 collected; 1,799 analyzed
  • Inter-plate technical duplicate pairs from BLSA participants, used for all variability and CV estimates · human · n = 204 samples from 102 participants
  • Control wells: buffer-only wells plus SomaLogic calibrator and QC samples made from pooled healthy donors · human (pooled donor calibrator/QC; buffer wells contain no sample) · n = 68 buffer, 110 calibrator, 66 QC
Methods & tools
7k SomaScan assay v4.1 (SomaLogic), R 4.1.2, RColorBrewer 1.1.2, viridis 0.6.2, MASS 7.3.54, calibrate 1.7.7, VennDiagram 1.7.3, Principal component analysis, Bland-Altman analysis, One-sample Kolmogorov-Smirnov test, Armbruster-Pry limit of detection estimate, Wilcoxon test
Reagents & environment
R 4.1.2 with RColorBrewer 1.1.2, viridis 0.6.2, MASS 7.3.54, calibrate 1.7.7 and VennDiagram 1.7.3.
Reproducibility gaps
Anonymized data are promised on the Open Science Framework only after acceptance, and the link is given as osf.io/[TBD]. No code repository is listed. Per-SOMAmer results are provided only as Supplementary Data files.
Limitations (6)
  • Variability rests on a single inter-plate duplicate pair per donor. A complete intra- and inter-plate assessment would need three or more replicates both within and across plates, which this design lacked. · stated by the authors
  • Without serial dilutions of a standard sample on each plate, signal linearity, limit of detection and limit of quantitation were not formally measured. The authors call this prohibitively costly on SomaScan and note spike-in experiments could test recovery of known concentration differences. · stated by the authors
  • Specificity, cross-reactivity and proteoform effects were only touched on. One example: SOMAmers that share a target split into r ≈ 0 and r ≈ 1 correlation groups. Orthogonal validation with mass spectrometry, immunoassays or Olink was out of scope. · stated by the authors
  • The vendor reports no limit of detection and gives an RFU value for every sample-SOMAmer pair. Some low RFUs (tens to hundreds) may be spurious, so the reported values can understate experimental noise. · stated by the authors
  • Normalization steps were ranked only by lower discordance between duplicates. Nothing tests whether the final all-sample median-signal step keeps true between-subject biological differences, for example with spike-ins or a clinical association benchmark. · noted in this summary
  • All estimates come from one aging-cohort plasma study. How they transfer to serum, disease cohorts or other labs is untested, and no code is released for the normalization pipeline or the CV grid search, despite the pipeline being called reproducible. · noted in this summary

Who should read:Read this if you design, normalize or interpret 7k SomaScan plasma studies and need CV estimates for each SOMAmer, a normalization recipe independent of the vendor, or evidence on background and control-aptamer signals.

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