Evidence map›Paper›PMID 10377116›Full record

ArticleInfection and immunity1999

Isolation of T-cell antigens by using a recombinant protein library and its application to the identification of novel vaccine candidates against schistosomiasis.

M Eberl, A P Mountford, D Jankovic, E Beck

Open access · bronzeAbstract read
In one paragraph

Article in Infection and immunity, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 31% of its field
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

4 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  4. 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 at 3 institutions in 3 countries.

M EberlBiochemisches Institut, Justus-Liebig-Universität Giessen, 35392 Giessen, Germany. me10@york.ac.uk
A P Mountford
D Jankovic
E Beck
University of York · GBNational Institute of Allergy and Infectious Diseases · USUniversity of Giessen · DE

Funding

Wellcome Trust
6 · The paper itself

Abstract

We present here a novel approach to identify T-cell antigens from any infectious agent by use of a library of purified recombinant proteins. Essential features of this strategy include (i) a highly efficient cDNA cloning system which negatively selects against nonrecombinant transformants by making use of the bacterial EcoK restriction system, (ii) affinity staining of cDNA clones expressing recombinant proteins, and (iii) a procedure of simultaneous purification of recombinant proteins from large numbers of isolated clones (representing the protein library) in a single step from pools consisting of up to 24 individual clones. The feasibility of the screening system was confirmed by constructing a protein library of the human parasite Schistosoma mansoni. The recombinant antigens of this library were used to stimulate CD4(+) T cells derived from the axillary lymph nodes of mice vaccinated with irradiated cercariae. In initial screening experiments, we detected parasite-specific proliferation and gamma interferon (IFN-gamma) secretion in response to several pools of cDNA clones. Further analysis of one particular pool revealed that only one of its constituents stimulated considerable IFN-gamma secretion by CD4(+) T cells and that the expressed antigen is identical to a small fragment of myosin heavy chain.

Indexed as

AnimalsAntigen PresentationAntigens, HelminthCytotoxicity, ImmunologicHumansMicePeptide LibraryReceptors, Antigen, T-CellRecombinant ProteinsSchistosoma mansoniSchistosomiasis mansoniT-LymphocytesVaccinesAntigens, HelminthPeptide LibraryReceptors, Antigen, T-CellRecombinant ProteinsVaccines

Identifiers

PMID10377116
PMCPMC116521
OpenAlexW2144899121

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.