Cell-cell interactome of the hematopoietic niche and its changes in acute myeloid leukemia.

Cell biology Hematology Molecular biology

Journal

iScience
ISSN: 2589-0042
Titre abrégé: iScience
Pays: United States
ID NLM: 101724038

Informations de publication

Date de publication:
16 Jun 2023
Historique:
received: 19 09 2022
revised: 22 03 2023
accepted: 19 05 2023
medline: 19 6 2023
pubmed: 19 6 2023
entrez: 19 6 2023
Statut: epublish

Résumé

The bone marrow (BM) is a complex microenvironment, coordinating the production of billions of blood cells every day. Despite its essential role and its relevance to hematopoietic diseases, this environment remains poorly characterized. Here we present a high-resolution characterization of the niche in health and acute myeloid leukemia (AML) by establishing a single-cell gene expression database of 339,381 BM cells. We found significant changes in cell type proportions and gene expression in AML, indicating that the entire niche is disrupted. We then predicted interactions between hematopoietic stem and progenitor cells (HSPCs) and other BM cell types, revealing a remarkable expansion of predicted interactions in AML that promote HSPC-cell adhesion, immunosuppression, and cytokine signaling. In particular, predicted interactions involving transforming growth factor β1 (TGFB1) become widespread, and we show that this can drive AML cell quiescence

Identifiants

pubmed: 37332612
doi: 10.1016/j.isci.2023.106943
pii: S2589-0042(23)01020-9
pmc: PMC10275994
doi:

Types de publication

Journal Article

Langues

eng

Pagination

106943

Informations de copyright

© 2023 The Author(s).

Déclaration de conflit d'intérêts

All authors have reported no financial interests or potential conflicts of interest.

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Auteurs

Sarah Ennis (S)

The SFI Centre for Research Training in Genomics Data Science, Galway, Ireland.
Discipline of Bioinformatics, School of Mathematical & Statistical Sciences, University of Galway, H91 TK33 Galway, Ireland.

Alessandra Conforte (A)

Apoptosis Research Centre, School of Biological & Chemical Sciences, University of Galway, H91 TK33 Galway, Ireland.

Eimear O'Reilly (E)

Apoptosis Research Centre, School of Biological & Chemical Sciences, University of Galway, H91 TK33 Galway, Ireland.

Javid Sabour Takanlu (JS)

Apoptosis Research Centre, School of Biological & Chemical Sciences, University of Galway, H91 TK33 Galway, Ireland.

Tatiana Cichocka (T)

Apoptosis Research Centre, School of Biological & Chemical Sciences, University of Galway, H91 TK33 Galway, Ireland.

Sukhraj Pal Dhami (SP)

Apoptosis Research Centre, School of Biological & Chemical Sciences, University of Galway, H91 TK33 Galway, Ireland.

Pamela Nicholson (P)

Next Generation Sequencing Platform, University of Bern, Bern, Switzerland.

Philippe Krebs (P)

Institute of Tissue Medicine and Pathology, University of Bern, Bern, Switzerland.

Pilib Ó Broin (P)

The SFI Centre for Research Training in Genomics Data Science, Galway, Ireland.
Discipline of Bioinformatics, School of Mathematical & Statistical Sciences, University of Galway, H91 TK33 Galway, Ireland.

Eva Szegezdi (E)

The SFI Centre for Research Training in Genomics Data Science, Galway, Ireland.
Apoptosis Research Centre, School of Biological & Chemical Sciences, University of Galway, H91 TK33 Galway, Ireland.

Classifications MeSH