Author

L. Poupel

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Pathology· 2 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:mouse· 3 Assay:bulk RNA-seq· 2 Research Focus:cell type annotation· 2 Research Focus:cell-cell communication· 2 Approach:experimental assay· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

S. Dussaud· 3 shared E. Gautier· 2 shared M. Moreau· 2 shared T. Huby· 2 shared A. Boissonnas· 1 shared A. Ferreira· 1 shared A. Gainullina· 1 shared A. Kent· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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3 shared papersPathology

S. Dussaud

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Obesity-elicited macrophages shape CD9hi progenitor fate to promote adipose tissue fibrosis and dysfunction

H. Askia, S. Dussaud, M. Chaves de Oliveira, A. Oliveira, L. Poupel, C. Rebiere, M. Ouhachi, R. Manuel, F. Merabtene, L. Genser, J. Aron-Wisnewsky, M. Moreau, L. Yvan-Charvet, A. Ferreira, T. Huby, , E. Gautier

This study identifies an interaction between obesity-elicited macrophages and CD9hi progenitors that drives adipose tissue fibrosis and dysfunction in mice and humans.

bioRxiv · Sep 26, 2023 · PreprintPathology

Loss of embryonically-derived Kupffer cells during hypercholesterolemia accelerates atherosclerosis development

R. Fima, S. Dussaud, C. Benbida, M. Blanchet, F. Lanthiez, L. Poupel, C. Brambilla, M. Moreau, A. Boissonnas, E. Gautier, T. Huby

The paper shows that loss of embryonically-derived Kupffer cells during hypercholesterolemia accelerates atherosclerosis by increasing liver cholesterol and reducing cholesterol regulation.

bioRxiv · Sep 26, 2023Pathology

Open Source ImmGen: network perspective on metabolic diversity among mononuclear phagocytes

A. Gainullina, L.-H. Huang, H. Todorov, K. Kim, L. S. Yng, A. Kent, B. Jia, K. Seddu, K. Krchma, J. Wu, K. Crozat, E. Tomasello, V. Narang, R. Dress, P. See, , ImmGen Consortium

The paper analyzes metabolic diversity in mononuclear phagocytes across tissues using integrated datasets and a network-based approach, identifying key metabolic subnetworks and their functional roles.

bioRxiv · Jul 15, 2020Immunology