Evidence map›Paper›PMID 27141097›Full record

ArticleMolecular & cellular proteomics : MCP2016

A Contra Capture Protein Array Platform for Studying Post-translationally Modified (PTM) Auto-antigenomes.

Kailash Karthikeyan, Kristi Barker, Yanyang Tang, Peter Kahn, Peter Wiktor, Al Brunner, Vinicius Knabben, Bharath Takulapalli, Jane Buckner, Gerald Nepom and 2 more

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Multiplexed Detection of Autoantibodies to Glycopeptides Using Microarray.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. AAgAtlas 1.0: a human autoantigen database.Nucleic acids research · 2017
    Article
  10. Article
  11. 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

12 authors.

Kailash KarthikeyanFrom the ‡Biodesign Institute, Center for Personalized Diagnostics, Arizona State University, Tempe, Arizona 85287;
Kristi BarkerFrom the ‡Biodesign Institute, Center for Personalized Diagnostics, Arizona State University, Tempe, Arizona 85287;
Yanyang TangFrom the ‡Biodesign Institute, Center for Personalized Diagnostics, Arizona State University, Tempe, Arizona 85287;
Peter Kahn§Engineering Arts LLC, Phoenix, Arizona 85076;
Peter WiktorFrom the ‡Biodesign Institute, Center for Personalized Diagnostics, Arizona State University, Tempe, Arizona 85287; §Engineering Arts LLC, Phoenix, Arizona 85076;
Al Brunner§Engineering Arts LLC, Phoenix, Arizona 85076;
Vinicius KnabbenFrom the ‡Biodesign Institute, Center for Personalized Diagnostics, Arizona State University, Tempe, Arizona 85287;
Bharath TakulapalliFrom the ‡Biodesign Institute, Center for Personalized Diagnostics, Arizona State University, Tempe, Arizona 85287;
Jane Buckner¶Benaroya Research Institute, Seattle, Washington 98101.
Gerald Nepom¶Benaroya Research Institute, Seattle, Washington 98101.
Joshua LaBaerFrom the ‡Biodesign Institute, Center for Personalized Diagnostics, Arizona State University, Tempe, Arizona 85287;
Ji QiuFrom the ‡Biodesign Institute, Center for Personalized Diagnostics, Arizona State University, Tempe, Arizona 85287; Ji.Qiu@asu.edu.

Funding

Piezoelectric Pipetting for High Density Nucleic Acid Programmable Protein ArraysR42GM106704 · NIGMS · ENGINEERING ARTS, LLC · PI WIKTOR, PETER J. · 2012 to 2014
$1.8M
NIGMS NIH HHS R42 GM106704
6 · The paper itself

Abstract

Aberrant modifications of proteins occur during disease development and elicit disease-specific antibody responses. We have developed a protein array platform that enables the modification of many proteins in parallel and assesses their immunogenicity without the need to express, purify, and modify proteins individually. We used anticitrullinated protein antibodies (ACPAs) in rheumatoid arthritis (RA) as a model modification and profiled antibody responses to ∼190 citrullinated proteins in 20 RA patients. We observed unique antibody reactivity patterns in both clinical anticyclic citrullinated peptide assay positive (CCP+) and CCP- RA patients. At individual antigen levels, we detected antibodies against known citrullinated autoantigens and discovered and validated five novel antibodies against specific citrullinated antigens (osteopontin (SPP1), flap endonuclease (FEN1), insulin like growth factor binding protein 6 (IGFBP6), insulin like growth factor I (IGF1) and stanniocalcin-2 (STC2)) in RA patients. We also demonstrated the utility of our innovative array platform in the identification of immune-dominant epitope(s) for citrullinated antigens. We believe our platform will promote the study of post-translationally modified antigens at a breadth that has not been achieved before, by both identifying novel autoantigens and investigating their roles in disease development. The developed platforms can potentially be used to study many autoimmune disease-relevant modifications and their immunogenicity.

Indexed as

Arthritis, RheumatoidAutoantibodiesAutoantigensEpitopesHumansPeptides, CyclicProtein Array AnalysisProtein Processing, Post-TranslationalAutoantibodiesAutoantigenscyclic citrullinated peptideEpitopesPeptides, Cyclic

Identifiers

PMID27141097
PMCPMC4937507

What OpenQuestion holds

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Registered trials

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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.