Evidence map›Paper›PMID 35284603›Full record

ArticleBio-protocol2022

Efficient Method to Differentiate Mouse Embryonic Stem Cells into Macrophages

Qimin Hai, Juying Han, Sophia Wells, Jonathan D Smith

Abstract read
In one paragraph

Article in Bio-protocol, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

4 authors.

Qimin HaiDepartment of Cardiovascular & Metabolic Sciences, Cleveland Clinic, Cleveland, OH 44195, USA.
Juying HanDepartment of Cardiovascular & Metabolic Sciences, Cleveland Clinic, Cleveland, OH 44195, USA.
Sophia WellsDepartment of Cardiovascular & Metabolic Sciences, Cleveland Clinic, Cleveland, OH 44195, USA.
Jonathan D SmithDepartment of Cardiovascular & Metabolic Sciences, Cleveland Clinic, Cleveland, OH 44195, USA.

Funding

Genetic modifiers of atherosclerosis and macrophage phenotypesR01HL156499 · NHLBI · CLEVELAND CLINIC LERNER COM-CWRU · PI SMITH, JONATHAN D · 2021 to 2024
$2.5M
NHLBI NIH HHS R01 HL156499
6 · The paper itself

Abstract

Macrophages are key cells in the innate immune system and play a role in a variety of diseases. However, macrophages are terminally differentiated and difficult to manipulate genetically via transfection or through CRISPR-Cas9 gene editing. To overcome this limitation, we provide a simplified protocol for the generation of mouse embryonic stem cells-derived macrophages (ESDM). Thus, genetic manipulation can be performed using embryonic stem cells, selecting for the desired changes, and finally producing macrophages to study the effects of the previous genetic manipulation. These studies can contribute to many areas of research, including atherosclerosis and inflammation. Production of ESDM has been previously achieved using embryoid body (EB) intermediates. Here, we optimized the EB method using a simplified medium, reducing the number of recombinant proteins and medium recipes required. Our EB-based differentiation protocol consists of three stages: 1) floating EB formation; 2) adherence of EBs and release of floating macrophage progenitors; and, 3) terminal differentiation of harvested macrophage progenitors. The advantages of this protocol include achieving independent floating EBs in stage 1 by using a rocker within the tissue culture incubator, as well as the exclusion of small EBs and cell clusters when harvesting macrophage progenitors via cell filtration.

Indexed as

Cell filterEmbryoid bodiesMacrophageMouse embryonic stem cellsTerminal differentiation

Identifiers

PMID35284603
PMCPMC8855084

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.