Evidence map›Paper›PMID 35491762›Full record

ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2022

Identification of fetal liver stroma in spectral cytometry using the parameter autofluorescence.

Márcia Mesquita Peixoto, Francisca Soares-da-Silva, Sandrine Schmutz, Marie-Pierre Mailhe, Sophie Novault, Ana Cumano, Cedric Ait-Mansour

Open access · hybridAbstract read
In one paragraph

Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2022. 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
1.6field-weighted citation impact, top 16% of its field
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, 20 citations in OpenAlex.

  1. Spatiotemporal dynamics of fetal liver hematopoietic niches.The Journal of experimental medicine · 2025
    Article
  2. Article
  3. Article
  4. Panel Design and Optimization for Full Spectrum Flow Cytometry.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  5. Article
  6. Identification of fetal liver stroma in spectral cytometry using the parameter autofluorescence.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2022
    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

7 authors at 3 institutions in 3 countries.

Márcia Mesquita PeixotoImmunology Department, Unit Lymphocytes and Immunity, Institut Pasteur, Paris, France.
Francisca Soares-da-SilvaImmunology Department, Unit Lymphocytes and Immunity, Institut Pasteur, Paris, France.ORCID 0000-0003-1312-7601
Sandrine SchmutzFlow cytometry core facility, CRT2, Institut Pasteur, Paris, France.
Marie-Pierre MailheImmunology Department, Unit Lymphocytes and Immunity, Institut Pasteur, Paris, France.
Sophie NovaultFlow cytometry core facility, CRT2, Institut Pasteur, Paris, France.ORCID 0000-0001-5708-3597
Ana CumanoImmunology Department, Unit Lymphocytes and Immunity, Institut Pasteur, Paris, France.ORCID 0000-0002-4578-959X
Cedric Ait-MansourSony Europe B.V, Weybridge, United Kingdom.
Inserm · FRInstitut Pasteur · FRSony (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fetal liver (FL) is the main hematopoietic organ during embryonic development. The FL is also the unique anatomical site where hematopoietic stem cells expand before colonizing the bone marrow, where they ensure life-long blood cell production and become mostly resting. The identification of the different cell types that comprise the hematopoietic stroma in the FL is essential to understand the signals required for the expansion and differentiation of the hematopoietic stem cells. We used a panel of monoclonal antibodies to identify FL stromal cells in a 5-laser equipped spectral flow cytometry (FCM) analyzer. The "Autofluorescence Finder" of SONY ID7000 software identified two distinct autofluorescence emission spectra. Using autofluorescence as a fluorescence parameter we could assign the two autofluorescent signals to three distinct cell types and identified surface markers that characterize these populations. We found that one autofluorescent population corresponds to hepatoblast-like cells and cholangiocytes whereas the other expresses mesenchymal transcripts and was identified as stellate cells. Importantly, after birth, autofluorescence becomes the unique identifying property of hepatoblast-like cells because mature cholangiocytes are no longer autofluorescent. These results show that autofluorescence used as a parameter in spectral FCM is a useful tool to identify new cell subsets that are difficult to analyze in conventional FCM.

Indexed as

Hematopoietic Stem CellsLiverBone MarrowBone Marrow CellsCell DifferentiationFemaleFlow CytometryHumansPregnancyautofluorescencefetal liverhepatoblast-like cells/hepatocytesspectral flow cytometry

Identifiers

PMID35491762
PMCPMC9790487
OpenAlexW4225278983

What OpenQuestion holds

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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.