Evidence map›Paper›PMID 39038188›Full record

ReviewJournal of proteome research2024

Crossing the Halfway Point: Aptamer-Based, Highly Multiplexed Assay for the Assessment of the Proteome.

Stephan Kraemer, Daniel J Schneider, Clare Paterson, Darryl Perry, Matthew J Westacott, Yolanda Hagar, Evaldas Katilius, Sean Lynch, Theresa M Russell, Ted Johnson and 6 more

Abstract readReview
In one paragraph

Review in Journal of proteome research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. MIND diet-related plasma proteins are associated with Alzheimer's disease risk.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  2. Review
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  15. Plasma Proteomic Profile of Dietary Potassium and Incident CKD.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Green Fluorescent Protein SELEX: Immobilization Chemistry and His-Tag Epitope Bias.Angewandte Chemie (International ed. in English) · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Stephan KraemerSomaLogic, 2495 Wilderness Place, Boulder, Colorado 80301, United States of America.ORCID 0009-0000-1862-3925
Daniel J SchneiderSomaLogic, 2495 Wilderness Place, Boulder, Colorado 80301, United States of America.
Clare PatersonSomaLogic, 2495 Wilderness Place, Boulder, Colorado 80301, United States of America.
Darryl PerrySomaLogic, 2495 Wilderness Place, Boulder, Colorado 80301, United States of America.
Matthew J WestacottSomaLogic, 2495 Wilderness Place, Boulder, Colorado 80301, United States of America.
Yolanda HagarSomaLogic, 2495 Wilderness Place, Boulder, Colorado 80301, United States of America.
Evaldas KatiliusSomaLogic, 2495 Wilderness Place, Boulder, Colorado 80301, United States of America.
Sean LynchSomaLogic, 2495 Wilderness Place, Boulder, Colorado 80301, United States of America.
Theresa M RussellSomaLogic, 2495 Wilderness Place, Boulder, Colorado 80301, United States of America.
Ted JohnsonSomaLogic, 2495 Wilderness Place, Boulder, Colorado 80301, United States of America.ORCID 0009-0007-5443-6757
David P AstlingSomaLogic, 2495 Wilderness Place, Boulder, Colorado 80301, United States of America.
Robert Kirk DeLisleSomaLogic, 2495 Wilderness Place, Boulder, Colorado 80301, United States of America.
Jason ClevelandSomaLogic, 2495 Wilderness Place, Boulder, Colorado 80301, United States of America.
Larry GoldSomaLogic, 2495 Wilderness Place, Boulder, Colorado 80301, United States of America.
Daniel W DroletSomaLogic, 2495 Wilderness Place, Boulder, Colorado 80301, United States of America.
Nebojsa JanjicSomaLogic, 2495 Wilderness Place, Boulder, Colorado 80301, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Measuring responses in the proteome to various perturbations improves our understanding of biological systems. The value of information gained from such studies is directly proportional to the number of proteins measured. To overcome technical challenges associated with highly multiplexed measurements, we developed an affinity reagent-based method that uses aptamers with protein-like side chains along with an assay that takes advantage of their unique properties. As hybrid affinity reagents, modified aptamers are fully comparable to antibodies in terms of binding characteristics toward proteins, including epitope size, shape complementarity, affinity and specificity. Our assay combines these intrinsic binding properties with serial kinetic proofreading steps to allow highly effective partitioning of stable specific complexes from unstable nonspecific complexes. The use of these orthogonal methods to enhance specificity effectively overcomes the severe limitation to multiplexing inherent to the use of sandwich-based methods. Our assay currently measures half of the unique proteins encoded in the human genome with femtomolar sensitivity, broad dynamic range and exceptionally high reproducibility. Using machine learning to identify patterns of change, we have developed tests based on measurement of multiple proteins predictive of current health states and future disease risk to guide a holistic approach to precision medicine.

Indexed as

Aptamers, NucleotideProteomeHumansMachine LearningProteomicsReproducibility of ResultsAptamers, NucleotideProteomeaffinity-based proteomicsaffinity reagentaptamerbiomarkerkinetic proofreadingmultiplexed proteomicsprecision medicineprognostic testproteomicsspecificity

Identifiers

PMID39038188
PMCPMC11536431

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.