Evidence map›Paper›PMID 29607532›Full record

ArticleJournal of leukocyte biology2018

An efficient method to isolate Kupffer cells eliminating endothelial cell contamination and selective bias.

Ruairi W Lynch, Catherine A Hawley, Antonella Pellicoro, Calum C Bain, John P Iredale, Stephen J Jenkins

Open access · hybridAbstract read
In one paragraph

Article in Journal of leukocyte biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

32 citing papers in PubMed, 60 citations in OpenAlex.

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  20. Frontiers in pharmacology · 2021
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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

6 authors at 1 institution in 1 country.

Ruairi W LynchMRC Centre for Inflammation Research, University of Edinburgh, Edinburgh, United Kingdom.
Catherine A HawleyMRC Centre for Inflammation Research, University of Edinburgh, Edinburgh, United Kingdom.
Antonella PellicoroMRC Centre for Inflammation Research, University of Edinburgh, Edinburgh, United Kingdom.
Calum C BainMRC Centre for Inflammation Research, University of Edinburgh, Edinburgh, United Kingdom.
John P IredaleMRC Centre for Inflammation Research, University of Edinburgh, Edinburgh, United Kingdom.
Stephen J JenkinsMRC Centre for Inflammation Research, University of Edinburgh, Edinburgh, United Kingdom.
University of Edinburgh · GB

Funding

Medical Research Council G0600033Medical Research Council MR/L008076/1Wellcome Trust
6 · The paper itself

Abstract

Multicolor flow cytometry and cell sorting are powerful immunologic tools for the study of hepatic mϕ, yet there is no consensus on the optimal method to prepare liver homogenates for these analyses. Using a combination of mϕ and endothelial cell reporter mice, flow cytometry, and confocal imaging, we have shown that conventional flow-cytometric strategies for identification of Kupffer cells (KCs) leads to inclusion of a significant proportion of CD31

Indexed as

Kupffer CellsAnimalsEndothelial CellsFlow CytometryMiceendothelial cellflow cytometryKupffer cell

Identifiers

PMID29607532
PMCPMC6175317
OpenAlexW2796050533

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.