Evidence map›Paper›PMID 39697109›Full record

ArticleCurrent protocols2024

Isolation, Purification, and Comprehensive Flow Cytometry Assessment of Lung Stromal Cells.

Sophia Rottmann, Veronika Lukacs-Kornek

Abstract read
In one paragraph

Article in Current protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Loss of lung mesenchymal identities in culture and a screening approach to identify restorative cues.American journal of physiology. Lung cellular and molecular physiology · 2025
    Article
  4. 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.

Sophia RottmannInstitute of Molecular Medicine and Experimental Immunology, University Hospital Bonn of the Rheinische Friedrich-Wilhelms-University, Bonn, Germany.
Veronika Lukacs-KornekInstitute of Molecular Medicine and Experimental Immunology, University Hospital Bonn of the Rheinische Friedrich-Wilhelms-University, Bonn, Germany.ORCID https://orcid.org/0000-0002-6718-1219

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stromal cells are non-hematopoietic cells that consist of endothelial cells and various mesenchymal cell populations. The composition of the stromal cell compartment is diverse in different organs. Numerous recent studies demonstrated that the lung environment contains heterogeneous mesenchymal stromal cell populations with distinctive genomic signatures and location preferences. Besides their role in supporting organ structure and remodeling tissue, mesenchymal stromal cells fulfill critical immune functions. These stromal cells show alterations during lung fibrosis and infectious disorders like COVID-19 or flu infection. To date, their identification and isolation were challenging, and most information about their heterogeneity was derived from scRNAseq data. In this protocol, we describe an isolation, comprehensive flow cytometry assessment, and purification strategy for murine lung stromal cells. The described method is optimized for minimizing cell death while keeping a high level of cell purity. This protocol can be also used for ex-vivo analysis of these cells in downstream functional assays. © 2024 The Author(s). Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Isolation of stromal cells from murine lung tissue Basic Protocol 2: Flow cytometry assessment of lung stromal populations Basic Protocol 3: Purification of lung fibroblastic stromal cells Alternate Protocol: Positive selection of fibroblastic stromal cells.

Indexed as

Cell SeparationFlow CytometryLungMesenchymal Stem CellsAnimalsCOVID-19MiceStromal CellslungMACS purificationstromal cellstissue digestion

Identifiers

PMID39697109
PMCPMC11656274

What OpenQuestion holds

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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.