Author

W. J. de Jonge

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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Immunology· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Research Focus:host-pathogen & immune response· 2 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

A. Y. F. Li Yim· 2 shared P. Henneman· 2 shared A. Coffin· 1 shared A. Patel· 1 shared A. Shillings· 1 shared B. W. Haak· 1 shared C. E. Blunt· 1 shared C. M. Kinsella· 1 shared

Activity by Year

2019-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersImmunology

A. Y. F. Li Yim

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3 papers

Recent·Most cited

Modulation of macrophage inflammatory function through selective inhibition of the epigenetic reader protein SP140

M. Ghiboub, J. Koster, P. D. Craggs, A. Y. F. Li Yim, A. Shillings, S. Hutchinson, R. P. Bingham, K. Gatfield, I. L. Hageman, G. Yao, H. P. O'Keefe, A. Coffin, A. Patel, L. A. Sloan, D. J. Mitchell, , W. J. de Jonge

This study identifies SP140 as a druggable epigenetic reader and therapeutic target for Crohn's disease by showing that its inhibition reduces inflammatory macrophage activation and cytokine expression.

bioRxiv · Aug 10, 2020Immunology

Intestinal transkingdom analysis on the impact of antibiotic perturbation in health and critical illness

B. W. Haak, R. Argelaguet, C. M. Kinsella, R. F. Kullberg, J. M. Lankelma, T. B. Hakvoort, F. Hugenholtz, S. Kostidis, M. Giera, W. J. de Jonge, M. J. Schultz, T. van Gool, T. van der Poll, W. M. de Vos, L. van den Hoek, W. J. Wiersinga

The paper analyzes the impact of antibiotic perturbation on intestinal transkingdom interactions in health and critical illness using multi-omics data.

bioRxiv · Jun 25, 2020 · PreprintMicrobiology

Defining tissue- and disease-associated macrophages using a transcriptome-based classification model

H.-J. Chen, A. Y. F. Li Yim, G. R. Griffith, W. J. de Jonge, M. M. A. M. Mannens, E. Ferrero, P. Henneman, M. P. J. de Winther

This paper develops a classifier, macIDR, to identify macrophage subtypes from transcriptomic data and applies it to define tissue- and disease-specific macrophage characteristics.

bioRxiv · Jan 29, 2019Immunology