Evidence map›Paper›PMID 39126656›Full record

ArticleSTAR protocols2024

Protocol to examine murine visceral adipose tissue immune cells using fluorescence-based flow cytometry.

Anna Carey, Christina D Camell

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in STAR protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

2 authors.

Anna CareyMolecular Pharmacology and Therapeutics Graduate Program, Department of Pharmacology, University of Minnesota, Minneapolis, MN 55455, USA; Institute on the Biology of Aging and Metabolism, Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN 55455, USA; Center for Immunology, University of Minnesota, Minneapolis, MN 55455, USA.
Christina D CamellMolecular Pharmacology and Therapeutics Graduate Program, Department of Pharmacology, University of Minnesota, Minneapolis, MN 55455, USA; Institute on the Biology of Aging and Metabolism, Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN 55455, USA; Center for Immunology, University of Minnesota, Minneapolis, MN 55455, USA. Electronic address: ccamell@umn.edu.

Funding

Role of adipose tissue inflammaging and metabolic dysfunction during sepsisR01AG079913 · NIA · UNIVERSITY OF MINNESOTA · PI Christina Camell · 2023 to 2026
$2.2M
Inflammation, Lipid Metabolism and SenescenceR01AG069819 · NIA · UNIVERSITY OF MINNESOTA · PI CAMELL, CHRISTINA · 2020 to 2024
$1.9M
Macrophage inflammasome activation and the mechanism of lipolysis resistance in aged adiposeR00AG058800 · NIA · UNIVERSITY OF MINNESOTA · PI CAMELL, CHRISTINA · 2019 to 2021
$1.1M
NIA NIH HHS R00 AG058800NIA NIH HHS R01 AG069819NIA NIH HHS R01 AG079913
6 · The paper itself

Abstract

Adipose tissue immune cells are heterogeneous and dynamic, alter metabolism, and drive immune responses. Here, we present a protocol for assessment and characterization of murine adipose tissue immune cells using fluorescence-based flow cytometry and sorting into pure populations. We describe steps for isolation of the stromovascular fraction, antibody staining, and data collection by flow cytometry. We also discuss common issues and troubleshooting steps. For complete details on the use and execution of this protocol, please refer to Carey et al.

Indexed as

Flow CytometryIntra-Abdominal FatAnimalsMiceCell BiologyCell isolationFlow CytometryImmunologyMetabolismSingle Cell

Identifiers

PMID39126656
PMCPMC11456973

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.