Evidence map›Paper›PMID 8390683›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America1993

Identification and functional characterization of platelet-activating factor receptors in human leukocyte populations using polyclonal anti-peptide antibody.

E Müller, P Dagenais, N Alami, M Rola-Pleszczynski

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 1993. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  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.

E MüllerDepartment of Pediatrics, Faculty of Medicine, Université de Sherbrooke, Canada.
P Dagenais
N Alami
M Rola-Pleszczynski

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, the successful cloning of a receptor for platelet-activating factor (PAF), a lipid mediator of inflammation, was reported. Here we investigated the distribution and potential diversity of human PAF receptors (hPAF-Rs) among individual leukocyte populations by (i) hPAF-R mRNA transcription studies and (ii) analysis of cell surface expression of hPAF-R protein using a polyclonal anti-peptide antibody (anti-hPAF-R164-173). Northern blot analysis, flow cytometry, and immunoblotting with anti-hPAF-R antibody indicated that monocytic, neutrophilic, and B-lymphocytic cell lines all shared a similar hPAF-R species, whereas resting T-cell and natural killer cell lines failed to express detectable levels of either hPAF-R protein or mRNA. Peripheral blood leukocyte populations showed a distribution of hPAF-R cell surface expression similar to that of the corresponding cell lines. Furthermore, binding of anti-hPAF-R164-173 antiserum, purified IgG, or Fab and F(ab')2 fragments to the receptor of all investigated PAF-R-positive cell lines induced an increase in intracellular free calcium concentration. The characterization of the expression of a lipid ligand receptor using antibodies against an intrinsic portion of the receptor protein has, to our knowledge, never been reported previously.

Indexed as

Platelet Membrane GlycoproteinsReceptors, G-Protein-CoupledBlotting, NorthernCalciumDNAFlow CytometryGene ExpressionHumansLeukocytesPlatelet Activating FactorReceptors, Cell SurfaceRNA, MessengerTranscription, GeneticTumor Cells, CulturedCalciumDNAPlatelet Activating Factorplatelet activating factor receptorPlatelet Membrane GlycoproteinsReceptors, Cell SurfaceReceptors, G-Protein-CoupledRNA, Messenger

Identifiers

PMID8390683
PMCPMC46814

What OpenQuestion holds

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Registered trials

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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.