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Monocytes differentiate into macrophages or dendritic cells along two alternative paths controlled by distinct regulatory networks

ABSTRACT: During inflammation, monocytes differentiate within tissues into macrophages (mo-Mac) or dendritic cells (mo-DC). Whether these two progenies derive from alternative differentiation pathways or represent different stages along a continuum remains unclear. Here we addressed this question using temporal single-cell RNA sequencing in an in vitro model allowing the simultaneous differentiation of human mo-Mac and mo-DC. We evidenced divergent differentiation paths, with a fate decision occurring within the first 24 hours. We confirmed this result in vivo using a mouse model of peritonitis. Using a computational approach, we identified candidate transcription factors potentially involved in monocyte fate commitment. We demonstrated that IRF1 is necessary for mo-Mac differentiation, independently of its transcriptional control of interferon-stimulated genes. In addition, we validated the transcription factors ZNF366 and MAFF as regulators of mo-DC development. Our results indicate that mo-Mac and mo-DC represent two alternative cell fates requiring distinct transcription factors for their differentiation.

ORGANISM(S): Homo sapiens

PROVIDER: GSE218483 | GEO | 2023/03/27

REPOSITORIES: GEO

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Project description:Myeloid dendritic cells (DC) and macrophages play an important role in pathogen sensing and antimicrobial defense. Recently we demonstrated that infection of human DC with intracellular bacterium Listeria monocytogenes (L.monocytogenes) leads to the induction of the immunoinhibitory enzyme indoleamine 2,3-dioxygenase (Popov et al., J Clin Invest, 2006), while in the previous studies L.monocytogenes infection was associated with a rather stimulatory DC phenotype. To clarify this discrepancy we performed comparative microarray analysis of immature mo-DC (immDC), mature stimulatory mo-DC (matDC) and mature inhibitory DC either stimulated with prostaglandin E2 (PGE2-DC) or infected with L.monocytogenes (infDC). Studying infection of human myeloid DC with Listeria monocytogenes, we found out, that infected DC are modified by the pathogen to express multiple inhibitory molecules, including indoleamine 2,3-dioxygenase (IDO), cyclooxygenase-2, interleukin 10 and CD25, which acts on DC as IL-2 scavenger. All these inhibitory molecules, expressed on regulatory DC (DCreg), are strictly TNF-dependent and are in concert suppressing T-cell responses. Moreover, only DCreg can efficiently control the number of intracellular listeria, mostly by IDO-mediated mechanisms and by other factors, remaining to be identified. Analyzing publicly acessible data of transcriptional changes in DC and macrophages, infected by various pathogens and parasites (GEO, GSE360), we noticed that infection of these cells with Mycobacterium tuberculosis causes transcriptional response, comparable with the one caused by listeria in human DC. In fact, granuloma in tuberculosis and listeriosis in vivo are enriched for myeloid DC and macrophages characterized by regulatory phenotype. In summary, regulatory myeloid DC and macrophages may play a dual role during life-threatening granulomatous infections, such as tuberculosis: on one hand, regulatory myeloid cells promote pathogen containment by efficiently killing intracellular bacteria, on the other hand these cells inhibit granuloma-associated T cells and thereby might be involved in the retention of TNF-controlled granuloma integrity protecting the host from granuloma break-down and pathogen dissemination. Experiment Overall Design: Transcriptional profiles of immature mo-DC (immDC, n=3), mature stimulatory mo-DC (matDC, n=3) and mature inhibitory mo-DC either stimulated with prostaglandin E2 (PGE2-DC, n=3) or infected with L.monocytogenes (infDC, n=3) were compared on Affymetrix HG-U133A platform. All samples represent biological replicates and were processed separately throughout the experiment.

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Monocytes differentiate into macrophages or dendritic cells along two alternative paths controlled by distinct regulatory networks

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