Evidence map›Paper›PMID 37638294›Full record

ArticleBio-protocol2023

Multi-color Flow Cytometry Protocol to Characterize Myeloid Cells in Mouse Retina Research.

Wei Xiao, Rami A Shahror, Carol A Morris, Ruth B Caldwell, Abdelrahman Y Fouda

Abstract read
In one paragraph

Article in Bio-protocol, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Optimized cardiac leukocyte isolation for flow cytometry enumeration and sorting.American journal of physiology. Heart and circulatory physiology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

5 authors.

Wei XiaoVascular Biology Center, Augusta University, Augusta, GA, USA.
Rami A ShahrorDepartment of Pharmacology and Toxicology, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Carol A MorrisDepartment of Pharmacology and Toxicology, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Ruth B CaldwellVascular Biology Center, Augusta University, Augusta, GA, USA.
Abdelrahman Y FoudaDepartment of Pharmacology and Toxicology, University of Arkansas for Medical Sciences, Little Rock, AR, USA.

Funding

Role of Arginase 1 in Retinal Ischemia-Reperfusion InjuryR00EY029373 · NEI · UNIV OF ARKANSAS FOR MED SCIS · PI FOUDA, ABDELRAHMAN · 2022 to 2024
$854k
NEI NIH HHS R00 EY029373
6 · The paper itself

Abstract

Myeloid cells, specifically microglia and macrophages, are activated in retinal diseases and can improve or worsen retinopathy outcomes based on their inflammatory phenotype. However, assessing the myeloid cell response after retinal injury in mice remains challenging due to the small tissue size and the challenges of distinguishing microglia from infiltrating macrophages. In this protocol paper, we describe a flow cytometry-based protocol to assess retinal microglia/macrophage and their inflammatory phenotype after injury. The protocol is amenable to the incorporation of other markers of interest to other researchers. Key features This protocol describes a flow cytometry-based method to analyze the myeloid cell response in retinopathy mouse models. The protocol can distinguish between microglia- and monocyte-derived macrophages. It can be modified to incorporate markers of interest. We show representative results from three different retinopathy models, namely ischemia-reperfusion injury, endotoxin-induced uveitis, and oxygen-induced retinopathy.

Indexed as

Flow cytometryMacrophagesMicrogliaMouse retinaMyeloid cellsRetinopathy

Identifiers

PMID37638294
PMCPMC10450788

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.