Evidence map›Paper›PMID 27481573›Full record

ArticleScientific reports2016

Identification of disease-specific motifs in the antibody specificity repertoire via next-generation sequencing.

Robert J Pantazes, Jack Reifert, Joel Bozekowski, Kelly N Ibsen, Joseph A Murray, Patrick S Daugherty

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Trial
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  12. medRxiv : the preprint server for health sciences · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Autoantibody Landscape in Patients with Advanced Prostate Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2020
    Article
  19. Evolving a Peptide: Library Platforms and Diversification Strategies.International journal of molecular sciences · 2019
    Review
  20. 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

6 authors.

Robert J PantazesDepartment of Chemical Engineering, University of California, Santa Barbara, CA 93106, USA.
Jack ReifertDepartment of Chemical Engineering, University of California, Santa Barbara, CA 93106, USA.
Joel BozekowskiDepartment of Chemical Engineering, University of California, Santa Barbara, CA 93106, USA.
Kelly N IbsenDepartment of Chemical Engineering, University of California, Santa Barbara, CA 93106, USA.
Joseph A MurrayDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota 55905, USA.
Patrick S DaughertyDepartment of Chemical Engineering, University of California, Santa Barbara, CA 93106, USA.

Funding

Antibody Reprtoire Characterization in Celiac DiseaseR01AI092204 · NIAID · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI DAUGHERTY, PATRICK S · 2011 to 2015
$1.5M
NIAID NIH HHS R01 AI092204
6 · The paper itself

Abstract

Disease-specific antibodies can serve as highly effective biomarkers but have been identified for only a relatively small number of autoimmune diseases. A method was developed to identify disease-specific binding motifs through integration of bacterial display peptide library screening, next-generation sequencing (NGS) and computational analysis. Antibody specificity repertoires were determined by identifying bound peptide library members for each specimen using cell sorting and performing NGS. A computational algorithm, termed Identifying Motifs Using Next- generation sequencing Experiments (IMUNE), was developed and applied to discover disease- and healthy control-specific motifs. IMUNE performs comprehensive pattern searches, identifies patterns statistically enriched in the disease or control groups and clusters the patterns to generate motifs. Using celiac disease sera as a discovery set, IMUNE identified a consensus motif (QPEQPF[PS]E) with high diagnostic sensitivity and specificity in a validation sera set, in addition to novel motifs. Peptide display and sequencing (Display-Seq) coupled with IMUNE analysis may thus be useful to characterize antibody repertoires and identify disease-specific antibody epitopes and biomarkers.

Indexed as

AlgorithmsPeptide LibraryAmino Acid MotifsAntibodiesAntibody SpecificityBiomarkersBlood ProteinsCeliac DiseaseCell SeparationEpitopesEscherichia coliHigh-Throughput Nucleotide SequencingHumansPeptidesAntibodiesBiomarkersBlood ProteinsEpitopesPeptide LibraryPeptides

Identifiers

PMID27481573
PMCPMC4969583

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.