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


Journal

Cytometry. Part A : the journal of the International Society for Analytical Cytology
ISSN: 1552-4930
Titre abrégé: Cytometry A
Pays: United States
ID NLM: 101235694

Informations de publication

Date de publication:
11 2022
Historique:
revised: 07 04 2022
received: 17 01 2022
accepted: 28 04 2022
pubmed: 3 5 2022
medline: 3 11 2022
entrez: 2 5 2022
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 35491762
doi: 10.1002/cyto.a.24567
pmc: PMC9790487
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

960-969

Informations de copyright

© 2022 The Authors. Cytometry Part A published by Wiley Periodicals LLC on behalf of International Society for Advancement of Cytometry.

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Auteurs

Márcia Mesquita Peixoto (MM)

Immunology Department, Unit Lymphocytes and Immunity, Institut Pasteur, Paris, France.
INSERM U1223, Paris, France.
Université de Paris, Sorbonne Paris Cité, Paris, France.
Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.
Instituto Nacional de Engenharia Biomédica, Universidade do Porto, Porto, Portugal.
Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, Porto, Portugal.

Francisca Soares-da-Silva (F)

Immunology Department, Unit Lymphocytes and Immunity, Institut Pasteur, Paris, France.
INSERM U1223, Paris, France.
Université de Paris, Sorbonne Paris Cité, Paris, France.

Sandrine Schmutz (S)

Flow cytometry core facility, CRT2, Institut Pasteur, Paris, France.

Marie-Pierre Mailhe (MP)

Immunology Department, Unit Lymphocytes and Immunity, Institut Pasteur, Paris, France.
INSERM U1223, Paris, France.
Université de Paris, Sorbonne Paris Cité, Paris, France.

Sophie Novault (S)

Flow cytometry core facility, CRT2, Institut Pasteur, Paris, France.

Ana Cumano (A)

Immunology Department, Unit Lymphocytes and Immunity, Institut Pasteur, Paris, France.
INSERM U1223, Paris, France.
Université de Paris, Sorbonne Paris Cité, Paris, France.

Cedric Ait-Mansour (C)

Sony Europe B.V, Weybridge, United Kingdom.

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Classifications MeSH