Evidence map›Paper›PMID 26246327›Full record

ArticleScientific reports2015

High-throughput sequencing enhanced phage display enables the identification of patient-specific epitope motifs in serum.

Anders Christiansen, Jens V Kringelum, Christian S Hansen, Katrine L Bøgh, Eric Sullivan, Jigar Patel, Neil M Rigby, Thomas Eiwegger, Zsolt Szépfalusi, Federico de Masi and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

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  14. Food-Derived Opioid Peptides in Human Health: A Review.International journal of molecular sciences · 2020
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Bacteriophage-based biomaterials for tissue regeneration.Advanced drug delivery reviews · 2019
    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

13 authors.

Anders ChristiansenDepartment of Micro- and Nanotechnology, Technical University of Denmark, Kgs. Lyngby, Denmark.
Jens V KringelumCenter for Biological Sequence Analysis, Technical University of Denmark, Kgs. Lyngby, Denmark.
Christian S HansenCenter for Biological Sequence Analysis, Technical University of Denmark, Kgs. Lyngby, Denmark.
Katrine L BøghNational Food Institute, Technical University of Denmark, Søborg, Denmark.
Eric SullivanRoche NimbleGen, Madison, Wisconsin, the United States of America.
Jigar PatelRoche NimbleGen, Madison, Wisconsin, the United States of America.
Neil M RigbyInstitute of Food Research, Norwich, United Kingdom.
Thomas EiweggerDepartment of Paediatrics, Medical University of Vienna, Vienna, Austria.
Zsolt SzépfalusiDepartment of Paediatrics, Medical University of Vienna, Vienna, Austria.
Federico de MasiCenter for Biological Sequence Analysis, Technical University of Denmark, Kgs. Lyngby, Denmark.
Morten Nielsen1] Center for Biological Sequence Analysis, Technical University of Denmark, Kgs. Lyngby, Denmark [2] Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, Buenos Aires, Argentina.
Ole LundCenter for Biological Sequence Analysis, Technical University of Denmark, Kgs. Lyngby, Denmark.
Martin DufvaDepartment of Micro- and Nanotechnology, Technical University of Denmark, Kgs. Lyngby, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phage display is a prominent screening technique with a multitude of applications including therapeutic antibody development and mapping of antigen epitopes. In this study, phages were selected based on their interaction with patient serum and exhaustively characterised by high-throughput sequencing. A bioinformatics approach was developed in order to identify peptide motifs of interest based on clustering and contrasting to control samples. Comparison of patient and control samples confirmed a major issue in phage display, namely the selection of unspecific peptides. The potential of the bioinformatic approach was demonstrated by identifying epitopes of a prominent peanut allergen, Ara h 1, in sera from patients with severe peanut allergy. The identified epitopes were confirmed by high-density peptide micro-arrays. The present study demonstrates that high-throughput sequencing can empower phage display by (i) enabling the analysis of complex biological samples, (ii) circumventing the traditional laborious picking and functional testing of individual phage clones and (iii) reducing the number of selection rounds.

Indexed as

EpitopesGene LibraryHigh-Throughput Nucleotide SequencingPeanut HypersensitivityAmino Acid MotifsFemaleHumansMaleProtein Array AnalysisEpitopes

Identifiers

PMID26246327
PMCPMC4650709

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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.