Evidence map›Paper›PMID 21165148›Full record

ArticlePloS one2010

Aptamer-based multiplexed proteomic technology for biomarker discovery.

Larry Gold, Deborah Ayers, Jennifer Bertino, Christopher Bock, Ashley Bock, Edward N Brody, Jeff Carter, Andrew B Dalby, Bruce E Eaton, Tim Fitzwater and 59 more

2 registry-linked trialsAbstract read
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 995 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
995citing papers in PubMed, 2 pooled it
–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.

NCT05687578 enrolling by invitationnot on this mapstarted 2023, after this paper: background citation

A Prospective, Non-Randomized, Multi-Center Observational Study to Establish a Physical Baseline Profile for Individual Study Subjects Using Various Modalities and Identify Deviations Via Longitudinal Monitoring That May Develop Over Time

TypeobservationalSponsorPuer Research, LLCRan2023 to 2030Enrolled10,000ConditionsAgingArmsMeasurements Only
NCT06652867 completednot on this mapstarted 2024, after this paper: background citation

Hypoglycemia Biomarkers to Predict Timing of a Hypoglycemic Event

TypeobservationalSponsorRoyal College of Surgeons in Ireland - Medical University of BahrainRan2024 to 2024Enrolled150ConditionsHypoglycemia
3 · Its place in the literature

Who cites it

995 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Proteomic dysregulation associated with cerebral amyloid angiopathy.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
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  7. MIND diet-related plasma proteins are associated with Alzheimer's disease risk.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  8. Review
  9. Review
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  12. Latent transforming growth factor-β binding protein 4 as a biomarker of arrhythmia-induced cardiomyopathy in atrial fibrillation: insights from a high-throughput proteomic analysis.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026
    Article
  13. Cross-tissue immune profiling of APOE ε4 reveals early dysregulation in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

935 more citing papers are in PubMed but not listed here.

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

69 authors.

Larry GoldSomaLogic, Boulder, Colorado, USA. lgold@somalogic.com
Deborah Ayers
Jennifer Bertino
Christopher Bock
Ashley Bock
Edward N Brody
Jeff Carter
Andrew B Dalby
Bruce E Eaton
Tim Fitzwater
Dylan Flather
Ashley Forbes
Trudi Foreman
Cate Fowler
Bharat Gawande
Meredith Goss
Magda Gunn
Shashi Gupta
Dennis Halladay
Jim Heil
Joe Heilig
Brian Hicke
Gregory Husar
Nebojsa Janjic
Thale Jarvis
Susan Jennings
Evaldas Katilius
Tracy R Keeney
Nancy Kim
Tad H Koch
Stephan Kraemer
Luke Kroiss
Ngan Le
Daniel Levine
Wes Lindsey
Bridget Lollo
Wes Mayfield
Mike Mehan
Robert Mehler
Sally K Nelson
Michele Nelson
Dan Nieuwlandt
Malti Nikrad
Urs Ochsner
Rachel M Ostroff
Matt Otis
Thomas Parker
Steve Pietrasiewicz
Daniel I Resnicow
John Rohloff
Glenn Sanders
Sarah Sattin
Daniel Schneider
Britta Singer
Martin Stanton
Alana Sterkel
Alex Stewart
Suzanne Stratford
Jonathan D Vaught
Mike Vrkljan
Jeffrey J Walker
Mike Watrobka
Sheela Waugh
Allison Weiss
Sheri K Wilcox
Alexey Wolfson
Steven K Wolk
Chi Zhang
Dom Zichi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe interrogation of proteomes ("proteomics") in a highly multiplexed and efficient manner remains a coveted and challenging goal in biology and medicine. METHODOLOGY/PRINCIPAL

findingsWe present a new aptamer-based proteomic technology for biomarker discovery capable of simultaneously measuring thousands of proteins from small sample volumes (15 µL of serum or plasma). Our current assay measures 813 proteins with low limits of detection (1 pM median), 7 logs of overall dynamic range (~100 fM-1 µM), and 5% median 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 signature of DNA aptamer concentrations, which is quantified on a DNA microarray. Our assay takes advantage of the dual nature of aptamers as both folded protein-binding entities with defined shapes and unique nucleotide 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 rapidly discover unique protein signatures characteristic of various disease states. CONCLUSIONS/SIGNIFICANCE: 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.

Indexed as

Aptamers, NucleotideAgedBiomarkersEvidence-Based MedicineFemaleGene LibraryGenetic TechniquesGlomerular Filtration RateHumansKidney Failure, ChronicKineticsMaleMass SpectrometryMiddle AgedNucleic Acid HybridizationOligonucleotide Array Sequence AnalysisAptamers, NucleotideBiomarkersProteome

Identifiers

PMID21165148
PMCPMC3000457

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.