Evidence map›Paper›PMID 30184507›Full record

ArticleCell reports2018

Flow Cytometry of Mouse and Human Adipocytes for the Analysis of Browning and Cellular Heterogeneity.

Carolina E Hagberg, Qian Li, Maria Kutschke, Debajit Bhowmick, Endre Kiss, Irina G Shabalina, Matthew J Harms, Olga Shilkova, Viviana Kozina, Jan Nedergaard and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 1 pooled it
5.9field-weighted citation impact, top 3% 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

64 citing papers in PubMed, 1 synthesis or guideline pooled it, 94 citations in OpenAlex.

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4 more citing papers are in PubMed but not listed here.

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

13 authors at 4 institutions in 1 country.

Carolina E HagbergKarolinska Institutet/AstraZeneca Integrated Cardio Metabolic Centre (KI/AZ ICMC), Department of Medicine, Karolinska Institutet, Stockholm 14157, Sweden. Electronic address: carolina.hagberg@ki.se.
Qian LiKarolinska Institutet/AstraZeneca Integrated Cardio Metabolic Centre (KI/AZ ICMC), Department of Medicine, Karolinska Institutet, Stockholm 14157, Sweden; Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm 17177, Sweden.
Maria KutschkeKarolinska Institutet/AstraZeneca Integrated Cardio Metabolic Centre (KI/AZ ICMC), Department of Medicine, Karolinska Institutet, Stockholm 14157, Sweden.
Debajit BhowmickKarolinska Institutet/AstraZeneca Integrated Cardio Metabolic Centre (KI/AZ ICMC), Department of Medicine, Karolinska Institutet, Stockholm 14157, Sweden.
Endre KissDepartment of Cell and Molecular Biology, Karolinska Institutet, Stockholm 17177, Sweden.
Irina G ShabalinaDepartment of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Stockholm 10691, Sweden.
Matthew J HarmsCardiovascular, Renal, and Metabolism, IMED Biotech Unit, AstraZeneca, Gothenburg 43150, Sweden.
Olga ShilkovaDepartment of Cell and Molecular Biology, Karolinska Institutet, Stockholm 17177, Sweden.
Viviana KozinaDepartment of Cell and Molecular Biology, Karolinska Institutet, Stockholm 17177, Sweden.
Jan NedergaardDepartment of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Stockholm 10691, Sweden.
Jeremie BoucherCardiovascular, Renal, and Metabolism, IMED Biotech Unit, AstraZeneca, Gothenburg 43150, Sweden; The Lundberg Laboratory for Diabetes Research, University of Gothenburg, Gothenburg 41345, Sweden; Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg 41345, Sweden.
Anders ThorellKarolinska Institutet, Department of Clinical Science, Danderyds Hospital, Stockholm 18288, Sweden; Department of Surgery, Ersta Hospital, Stockholm 11691, Sweden.
Kirsty L SpaldingKarolinska Institutet/AstraZeneca Integrated Cardio Metabolic Centre (KI/AZ ICMC), Department of Medicine, Karolinska Institutet, Stockholm 14157, Sweden; Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm 17177, Sweden. Electronic address: kirsty.spalding@ki.se.
AstraZeneca (Sweden) · SEKarolinska Institutet · SEIntegrated Cardio Metabolic Centre · SEStockholm University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adipocytes, once considered simple lipid-storing cells, are rapidly emerging as complex cells with many biologically diverse functions. A powerful high-throughput method for analyzing single cells is flow cytometry. Several groups have attempted to analyze and sort freshly isolated adipocytes; however, using an adipocyte-specific reporter mouse, we demonstrate that these studies fail to detect the majority of white adipocytes. We define critical settings required for adipocyte flow cytometry and provide a rigid strategy for analyzing and sorting white and brown adipocyte populations. The applicability of our protocol is shown by sorting mouse adipocytes based on size or UCP1 expression and demonstrating that a subset of human adipocytes lacks the β

Indexed as

AdipocytesAdipose TissueAdipose Tissue, BrownAdipose Tissue, WhiteAnimalsFlow CytometryHumansMiceUncoupling Protein 1Uncoupling Protein 1adipocyteadipose tissuebeta 2 adrenergic receptorFACSflow cytometryhumanmouseuncoupled protein 1

Identifiers

PMID30184507
PMCPMC6137819
OpenAlexW2889996727

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.