Evidence map›Paper›PMID 37258908›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

CD4+ T Cell Epitope Identification from Complex Parasite Antigen Mixtures.

Miguel Álvaro-Benito, Friederike Ebner, Miriam Bertazzon, Eliot Morrison

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. 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

4 authors.

Miguel Álvaro-BenitoLaboratory of Protein Biochemistry, Institute of Chemistry and Biochemistry, Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin, Berlin, Germany. m.alvaro@fu-berlin.de.
Friederike EbnerDivision of Infection Pathogenesis, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
Miriam BertazzonLaboratory of Protein Biochemistry, Institute of Chemistry and Biochemistry, Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin, Berlin, Germany.
Eliot MorrisonLaboratory of Protein Biochemistry, Institute of Chemistry and Biochemistry, Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antigen complexity represents a major challenge for scoring CD4+ T cell immunogenicity, a key hallmark of immunity and with great potential to improve vaccine development. In this chapter, we provide a comprehensive picture of a pipeline that can be applied to virtually any complex antigen to overcome different limitations. Antigens are characterized by Mass Spectrometry to determine the available protein sources and their abundances. A reconstituted in vitro antigen processing system is applied along with bioinformatics tools to prioritize the list of candidates. Finally, the immunogenicity of candidate peptides is validated ex vivo using PBMCs from HLA-typed individuals. This protocol compiles the essential information for executing the whole pipeline while focusing on the candidate epitope prioritizing scheme.

Indexed as

CD4-Positive T-LymphocytesParasitesAnimalsAntigen PresentationEpitopes, T-LymphocyteHumansPeptidesEpitopes, T-LymphocytePeptidesAntigen presentationAscaris spp. parasitesCD4+ T cell reactivityComplex antigen mixturesExcretory-secretory products (ES)MHC IIReconstitution in vitro antigen processing

Identifiers

PMID37258908

What OpenQuestion holds

Textmetadata
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.