Author

Michiel E. Adriaens

Maastricht UniversityORCID 0000-0002-4472-7119Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Marian BreueriD· 2 shared Martina KutmoniD· 2 shared Bastien NihantiD· 1 shared Carlijn Steen· 1 shared Chaitra SarathyiD· 1 shared Chris T. EveloiD· 1 shared Eva Thielecke· 1 shared Gökhan ErtaylaniD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersSystems Biology

Marian BreuerORCID

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Author profile →

3 papers

Recent·Most cited

Metabolic task analysis reveals distinct metabotypes in end-stage dilated cardiomyopathy

Bastien Nihant, Job A.J. Verdonschot, Sonia Balăn, Eva Thielecke, Joost J.F.P. Luiken, Miranda Nabben, Stephane R B Heymans, Marian Breuer, Michiel E. Adriaens

The paper identifies two distinct metabotypes in end-stage DCM patients using transcriptomics data and metabolic modeling, revealing metabolic and immune-related differences.

Circulation Genomic and Precision Medicine · Jul 3, 2026Peer-reviewedSystems Biology

The guardians of mitochondrial dynamics: a novel role for intermediate filament proteins

Irene M. G. M. Hemel, Carlijn Steen, Simon L. I. J. Denil, Gökhan Ertaylan, Martina Kutmon, Michiel E. Adriaens, Mike Gerards

The paper identifies ITPRIPL2 as a novel protein involved in mitochondrial dynamics through computational interaction analysis and shows its role in vimentin-associated intermediate filament structure.

bioRxiv · Jul 19, 2024 · PreprintSystems Biology

ComMet: A method for comparing metabolic states in genome-scale metabolic models

Chaitra Sarathy, Marian Breuer, Martina Kutmon, Michiel E. Adriaens, Chris T. Evelo, Ilja C.W. Arts

ComMet is a method for analyzing and comparing metabolic flux states in genome-scale models, identifying distinct network modules and differences in human adipocyte metabolism under varying amino acid uptake conditions.

bioRxiv · Sep 14, 2020 · PreprintSystems Biology