Evidence map›Paper›PMID 39481389›Full record

ArticleCell reports methods2024

Optimized full-spectrum flow cytometry panel for deep immunophenotyping of murine lungs.

Zora Baumann, Carsten Wiethe, Cinja M Vecchi, Veronica Richina, Telma Lopes, Mohamed Bentires-Alj

Abstract read
In one paragraph

Article in Cell reports methods, 2024. 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. Article
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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

6 authors.

Zora BaumannDepartment of Biomedicine, University Hospital Basel, University of Basel, 4031 Basel, Switzerland; Department of Surgery, University Hospital Basel, 4031 Basel, Switzerland.
Carsten WietheBioLegend, Inc., San Diego, CA 92121, USA.
Cinja M VecchiDepartment of Biomedicine, University Hospital Basel, University of Basel, 4031 Basel, Switzerland; Department of Surgery, University Hospital Basel, 4031 Basel, Switzerland.
Veronica RichinaDepartment of Biomedicine, University Hospital Basel, University of Basel, 4031 Basel, Switzerland; Department of Surgery, University Hospital Basel, 4031 Basel, Switzerland.
Telma LopesDepartment of Biomedicine, University Hospital Basel, University of Basel, 4031 Basel, Switzerland.
Mohamed Bentires-AljDepartment of Biomedicine, University Hospital Basel, University of Basel, 4031 Basel, Switzerland; Department of Surgery, University Hospital Basel, 4031 Basel, Switzerland. Electronic address: m.bentires-alj@unibas.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The lung immune system consists of both resident and circulating immune cells that communicate intricately. The immune system is activated by exposure to bacteria and viruses, when cancer initiates in the lung (primary lung cancer), or when metastases of other cancer types, including breast cancer, spread to and develop in the lung (secondary lung cancer). Thus, in these pathological situations, a comprehensive and quantitative assessment of changes in the lung immune system is of paramount importance for understanding mechanisms of infectious diseases, lung cancer, and metastasis but also for developing efficacious treatments. Unfortunately, lung tissue exhibits high autofluorescence, and this high background signal makes high-parameter flow cytometry analysis complicated. Here, we provide an optimized 30-parameter antibody panel for the analysis of all major immune cell types and states in normal and metastatic murine lungs using spectral flow cytometry.

Indexed as

Flow CytometryImmunophenotypingLungAnimalsFemaleLung NeoplasmsMiceMice, Inbred C57BLbreast cancercancer immunologyCP: immunologyfull-spectrum flow cytometryhigh-dimensional single-cell analysisimmunologyimmunophenotypingmetastasismurine lung immunophenotypingoncology

Identifiers

PMID39481389
PMCPMC11705587

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LicenceCC BY
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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.