Evidence map›Paper›PMID 41085617›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Serological Proteome Analysis for Antigen Identification.

Susan M Twine, Kelly M Fulton

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Susan M TwineHuman Health Therapeutics Research Centre, National Research Council Canada, Ottawa, ON, Canada.
Kelly M FultonHuman Health Therapeutics Research Centre, National Research Council Canada, Ottawa, ON, Canada. Kelly.Fulton@nrc-cnrc.gc.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Serological proteome analysis (SERPA) is a classical immunoproteomics approach used to evaluate the humoral immune response to disease, vaccination, or administration of therapeutics. The method is disease agnostic, with the most common applications being the study of infectious diseases, cancers, and autoimmune disorders. The combination of two-dimensional western blotting and mass spectrometry analysis allows for the identification of individual antigens responsible for generating antibody responses. The identified immunoreactive proteins can be leveraged for the production of subunit vaccines, for use as correlates of vaccine protection, and as biomarkers for disease diagnosis. This chapter provides step-by-step instructions for performing SERPA, with additional notes providing insights gained from over two decades of experience using and optimizing the method.

Indexed as

AntigensProteomeProteomicsAnimalsBlotting, WesternHumansMass SpectrometryAntigensProteomeAntigensBiomarkersFrancisella tularensisImmunoproteomicsImmunoreactivitySerological proteome analysisSERPAWestern blotting

Identifiers

What OpenQuestion holds

Textmetadata
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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.