Evidence map›Paper›PMID 23541920›Full record

ArticleVeterinary immunology and immunopathology2013

Production of seven monoclonal equine immunoglobulins isotyped by multiplex analysis.

Alison Keggan, Heather Freer, Alicia Rollins, Bettina Wagner

Abstract read
In one paragraph

Article in Veterinary immunology and immunopathology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 40 citations in OpenAlex.

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  7. Frontiers in immunology · 2024
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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 2 institutions in 1 country.

Alison KegganDepartment of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA.
Heather Freer
Alicia Rollins
Bettina Wagner
New York State College of Veterinary Medicine · USCornell University · US

Funding

Cornell University Veterinary Investigator ProgramT35OD010941 · OD · CORNELL UNIVERSITY · PI WEISS, ROBERT S · 2012 to 2024
$813k
NIH HHS T35 OD010941
6 · The paper itself

Abstract

Horses have 11 immunoglobulin isotypes: IgM, IgD, IgA, IgE, and seven IgG subclasses designated as IgG1-IgG7, each of which are distinguished by separate genes encoding the constant heavy chain regions. Immunoglobulin (Ig) isotypes have different functions during the immune response and pathogen-specific isotypes can be used as indicators for immunity and protection from disease. In addition to existing monoclonal antibodies to various equine Igs, quantification of the individual isotypes requires pure isotype standards. In this report, we describe a fusion between X63-Ag8.653 mouse myeloma cells and horse PBMC to create equine-murine heterohybridomas. Initial screening for Ig production was performed by ELISA. Further testing was performed by a new 5-plex fluorescent bead-based assay able to simultaneously detect equine IgM, IgG1, IgG4/7, IgG5, and IgG6. Production of IgG3 and IgE was tested by separate bead assays. Seven stable heterohybridoma clones producing monoclonal equine IgM, IgG1, IgG3, IgG4/7, IgG5, IgG6 and IgE were created. Purified Ig isotypes were then tested by SDS-PAGE. The pure, monoclonal equine Ig isotypes and the new equine Ig multiplex testing developed here are valuable tools to quantify antibody responses and to accurately determine individual isotypes concentrations in horses.

Indexed as

AnimalsAntibodies, MonoclonalCell FusionHorsesHybridomasImmunoglobulin IsotypesMiceMolecular WeightAntibodies, MonoclonalImmunoglobulin Isotypes

Identifiers

PMID23541920
PMCPMC10958203
OpenAlexW2114136777

What OpenQuestion holds

Textmetadata
LicenceTDM
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.