Evidence map›Paper›PMID 34715355›Full record

ArticleMolecular & cellular proteomics : MCP2021

Proximity Extension Assay in Combination with Next-Generation Sequencing for High-throughput Proteome-wide Analysis.

Lotta Wik, Niklas Nordberg, John Broberg, Johan Björkesten, Erika Assarsson, Sara Henriksson, Ida Grundberg, Erik Pettersson, Christina Westerberg, Elin Liljeroth and 2 more

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2021. 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 261 papers.

0numbers the graph read from it
0cells of the map it votes in
261citing papers in PubMed
22.3field-weighted citation impact, top 1% of its field
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.

NCT05984056 naactive not recruitingnot on this mapstarted 2023, after this paper: background citation

Multidisciplinary Lifestyle Interventions for Neurological Disorders During the Silent Phase (MINDS)

TypeinterventionalSponsorVineet Punia MDRan2023 to 2036Enrolled200ConditionsNeurological DisorderArmsMultidisciplinary lifestyle interventions
NCT06359197 early_phase1unknown statusnot on this mapstarted 2024, after this paper: background citation

Feasibility Study for Investigating the Effect of Caffeine Consumption on Protein Biomarkers Related to Cardiovascular Disease

TypeinterventionalSponsorHamilton Health Sciences CorporationRan2024 to 2025Enrolled36ConditionsHealthyArmsCaffeine Pill, Placebo, TASSO+ Device, Finger prick and collection on Whatman Protein 903 Saver Cards, Intravenous Sampling
3 · Its place in the literature

Who cites it

261 citing papers in PubMed, 372 citations in OpenAlex.

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  8. Explainable Plasma Proteomics-Based Machine Learning for Osteoporosis Diagnosis, Prognosis, and Protein Biomarker Discovery in the UK Biobank.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
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  14. Systemic Proteome Profiling to Differentiate Primary Glomerular Diseases.Journal of the American Society of Nephrology : JASN · 2026
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  17. Biological psychiatry global open science · 2026
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201 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

12 authors at 1 institution in 1 country.

Lotta WikOlink Proteomics, Uppsala, Sweden. Electronic address: lotta.wik@olink.com.
Niklas NordbergOlink Proteomics, Uppsala, Sweden.
John BrobergOlink Proteomics, Uppsala, Sweden.
Johan BjörkestenOlink Proteomics, Uppsala, Sweden.
Erika AssarssonOlink Proteomics, Uppsala, Sweden.
Sara HenrikssonOlink Proteomics, Uppsala, Sweden.
Ida GrundbergOlink Proteomics, Uppsala, Sweden.
Erik PetterssonOlink Proteomics, Uppsala, Sweden.
Christina WesterbergOlink Proteomics, Uppsala, Sweden.
Elin LiljerothOlink Proteomics, Uppsala, Sweden.
Adam FalckOlink Proteomics, Uppsala, Sweden.
Martin LundbergOlink Proteomics, Uppsala, Sweden.
Olink Bioscience (Sweden) · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the dynamics of the human proteome is crucial for developing biomarkers to be used as measurable indicators for disease severity and progression, patient stratification, and drug development. The Proximity Extension Assay (PEA) is a technology that translates protein information into actionable knowledge by linking protein-specific antibodies to DNA-encoded tags. In this report we demonstrate how we have combined the unique PEA technology with an innovative and automated sample preparation and high-throughput sequencing readout enabling parallel measurement of nearly 1500 proteins in 96 samples generating close to 150,000 data points per run. This advancement will have a major impact on the discovery of new biomarkers for disease prediction and prognosis and contribute to the development of the rapidly evolving fields of wellness monitoring and precision medicine.

Indexed as

Biological AssayProteomicsBiomarkersHigh-Throughput Nucleotide SequencingHumansObesityProteomeBiomarkersProteomeantibodybiomarkerimmunoassaymultiplexnext-generation sequencingplasmaproteomicsproximity extension assayserum

Identifiers

PMID34715355
PMCPMC8633680
OpenAlexW3209856620

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.