Evidence map›Paper›PMID 28652982›Full record

ArticleOpen veterinary journal2017

Reactivity of commercially available monoclonal antibodies to human CD antigens with peripheral blood leucocytes of dromedary camels (

Jamal Hussen, Turke Shawaf, Abdulkareem Imran Al-Herz, Hussain R Alturaifi, Ahmed M Alluwaimi

Open access · goldAbstract read
In one paragraph

Article in Open veterinary journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 26% 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, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Recent Advances in Camel Immunology.Frontiers in immunology · 2020
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  16. Dromedary camel CD14BMC veterinary research · 2020
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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

5 authors at 2 institutions in 1 country.

Jamal HussenDepartment of Microbiology and Parasitology, College of Veterinary Medicine, King Faisal University, Al Ahsaa, Saudi Arabia.
Turke ShawafDepartment of Clinical Studies, College of Veterinary Medicine, King Faisal University, Al Ahsaa, Saudi Arabia.
Abdulkareem Imran Al-HerzImmunology Unit, Diagnostic Laboratory and Blood Bank, King Fahad Hospital Hufof, Al Ahsaa, Saudi Arabia.
Hussain R AlturaifiImmunology Unit, Diagnostic Laboratory and Blood Bank, King Fahad Hospital Hufof, Al Ahsaa, Saudi Arabia.
Ahmed M AlluwaimiDepartment of Microbiology and Parasitology, College of Veterinary Medicine, King Faisal University, Al Ahsaa, Saudi Arabia.
King Faisal University · SAKing Fahad Hospital Hufūf · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monoclonal antibodies (mAbs) to cell surface molecules have been proven as a key tool for phenotypic and functional characterization of the cellular immune response. One of the major difficulties in studying camel cellular immunity consists in the lack of mAbs that dtect their leukocyte differentiation antigens. In the present study two-parameter flow cytometry was used to screen existing commercially available mAbs to human leukocyte antigens and major histocompatibility molecules (MHC) for their reactivity with camel leukocytes. The comparison of patterns of reactivity obtained after labelling human and camel leukocytes have shown that mAbs specific to human cluster of differentiation (CD) 18, CD11a, CD11b and CD14 are predicted to be cross-reactive with homologous camel antigens.

Indexed as

AntibodiesCross-reactivityDromedary camelFlow cytometry

Identifiers

PMID28652982
PMCPMC5471749
OpenAlexW2621867888

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.