Evidence map›Paper›PMID 22261726›Full record

ArticleMolecular & cellular proteomics : MCP2012

Physical characterization of the "immunosignaturing effect".

Phillip Stafford, Rebecca Halperin, Joseph Bart Legutki, Dewey Mitchell Magee, John Galgiani, Stephen Albert Johnston

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Immunosignature system for diagnosis of cancer.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Gain-Scanning for Protein Microarray Assays.Journal of proteome research · 2020
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Zika Virus Specific Diagnostic Epitope Discovery.Journal of visualized experiments : JoVE · 2017
    Article
  14. Protein Array-based Approaches for Biomarker Discovery in Cancer.Genomics, proteomics & bioinformatics · 2017
    Review
  15. Antibody repertoire profiling with mimotope arrays.Human vaccines & immunotherapeutics · 2017
    Article
  16. Article
  17. General Assessment of Humoral Activity in Healthy Humans.Molecular & cellular proteomics : MCP · 2016
    Article
  18. Article
  19. Article
  20. Review
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

6 authors.

Phillip StaffordBiodesign Institute, Center for Innovations in Medicine, Arizona State University, Tempe, Arizona 85287, USA. Phillip.Stafford@asu.edu
Rebecca Halperin
Joseph Bart Legutki
Dewey Mitchell Magee
John Galgiani
Stephen Albert Johnston

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying new, effective biomarkers for diseases is proving to be a challenging problem. We have proposed that antibodies may offer a solution to this problem. The physical features and abundance of antibodies make them ideal biomarkers. Additionally, antibodies are often elicited early in the ontogeny of different chronic and infectious diseases. We previously reported that antibodies from patients with infectious disease and separately those with Alzheimer's disease display a characteristic and reproducible "immunosignature" on a microarray of 10,000 random sequence peptides. Here we investigate the physical and chemical parameters underlying how immunosignaturing works. We first show that a variety of monoclonal and polyclonal antibodies raised against different classes of antigens produce distinct profiles on this microarray and the relative affinities are determined. A proposal for how antibodies bind the random sequences is tested. Sera from vaccinated mice and people suffering from a fugal infection are individually assayed to determine the complexity of signals that can be distinguished. Based on these results, we propose that this simple, general and inexpensive system could be optimized to generate a new class of antibody biomarkers for a wide variety of diseases.

Indexed as

Protein Array AnalysisAnimalsAntibodiesBiomarkersCoccidioidomycosisHumansMiceMice, Inbred BALB CMice, Inbred CBAOrthomyxoviridae InfectionsPeptidesVaccinationAntibodiesBiomarkersPeptides

Identifiers

PMID22261726
PMCPMC3367934

What OpenQuestion holds

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LicenceCC BY-NC
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.