Evidence map›Paper›PMID 27300760›Full record

ArticlePloS one2016

A General Method to Discover Epitopes from Sera.

Kurt Whittemore, Stephen Albert Johnston, Kathryn Sykes, Luhui Shen

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Kurt WhittemoreCenter for Innovations in Medicine, Biodesign Institute, Arizona State University, 1001 South McAllister Avenue, Tempe, Arizona 85287, United States of America.
Stephen Albert JohnstonCenter for Innovations in Medicine, Biodesign Institute, Arizona State University, 1001 South McAllister Avenue, Tempe, Arizona 85287, United States of America.
Kathryn SykesCenter for Innovations in Medicine, Biodesign Institute, Arizona State University, 1001 South McAllister Avenue, Tempe, Arizona 85287, United States of America.
Luhui ShenCenter for Innovations in Medicine, Biodesign Institute, Arizona State University, 1001 South McAllister Avenue, Tempe, Arizona 85287, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antigen-antibody complexes are central players in an effective immune response. However, finding those interactions relevant to a particular disease state can be arduous. Nonetheless many paths to discovery have been explored since deciphering these interactions can greatly facilitate the development of new diagnostics, therapeutics, and vaccines. In silico B cell epitope mapping approaches have been widely pursued, though success has not been consistent. Antibody mixtures in immune sera have been used as handles for biologically relevant antigens, but these and other experimental approaches have proven resource intensive and time consuming. In addition, these methods are often tailored to individual diseases or a specific proteome, rather than providing a universal platform. Most of these methods are not able to identify the specific antibody's epitopes from unknown antigens, such as un-annotated neo antigens in cancer. Alternatively, a peptide library comprised of sequences unrestricted by naturally-found protein space provides for a universal search for mimotopes of an antibody's epitope. Here we present the utility of such a non-natural random sequence library of 10,000 peptides physically addressed on a microarray for mimotope discovery without sequence information of the specific antigen. The peptide arrays were probed with serum from an antigen-immunized rabbit, or alternatively probed with serum pre-absorbed with the same immunizing antigen. With this positive and negative screening scheme, we identified the library-peptides as the mimotopes of the antigen. The unique library peptides were successfully used to isolate antigen-specific antibodies from complete immune serum. Sequence analysis of these peptides revealed the epitopes in the immunized antigen. We present this method as an inexpensive, efficient method for identifying mimotopes of any antibody's targets. These mimotopes should be useful in defining both components of the antigen-antibody complex.

Indexed as

Peptide LibraryAmino Acid SequenceAnimalsAntigen-Antibody ComplexEpitope MappingEpitopesHumansImmune SeraMolecular MimicryPeptidesRabbitsAntigen-Antibody ComplexEpitopesImmune SeraPeptide LibraryPeptides

Identifiers

PMID27300760
PMCPMC4907474

What OpenQuestion holds

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LicenceCC BY
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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.