Author

Denis Larsimont

Institut Jules BordetORCID 0000-0003-2152-253XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 3 Research Focus:differential expression· 2 Organism:human· 2 Assay:spatial transcriptomics· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1

Frequent Co-Authors

Vincent DetoursiD· 3 shared Adrien TourneuriD· 2 shared Anne Lefort· 2 shared Carine Maenhaut· 2 shared Joel Rodrigues VitóriaiD· 2 shared Ligia CraciuniD· 2 shared Manuel Saiselet· 2 shared Adam Shlien· 1 shared

Activity by Year

2015-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 32 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersGenomics

Vincent DetoursORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Idiosyncratic and generic single nuclei and spatial transcriptional patterns in papillary and anaplastic thyroid cancers

Adrien Tourneur, Joel Rodrigues Vitória, Manuel Saiselet, Ligia Craciun, Denis Larsimont, Anne Lefort, Frédérick Libert, Carine Maenhaut, Sabine Costagliola, Maxime Tarabichi, Mírian Romitti, Vincent Detours

This study uses single nuclei RNA-seq and spatial transcriptomics to analyze transcriptional patterns in papillary and anaplastic thyroid cancers, revealing idiosyncratic and generic transcriptional variations and EMT-related features.

Molecular Oncology · Aug 11, 2026Peer-reviewedCancer Biology

Transcriptional output, cell types densities and normalization in spatial transcriptomics

Manuel Saiselet, Joel Rodrigues Vitória, Adrien Tourneur, Ligia Craciun, Alex Spinette, Denis Larsimont, Guy Andry, Joakim Lundeberg, Carine Maenhaut, Vincent Detours

The paper shows that total read counts in spatial transcriptomics spots reflect cell numbers and biology, and that normalization by total read counts can distort cell-type-related expression.

Journal of Molecular Cell Biology · Jun 15, 2020Peer-reviewedGenomics

Principles governing A-to-I RNA editing in the breast cancer transcriptome

Debora Fumagalli, David Gacquer, Françoise Rothé, Anne Lefort, Frederick Libert, David Brown, Naima Kheddoumi, Adam Shlien, Tomasz Konopka, Roberto Salgado, Denis Larsimont, Kornelia Polyak, Karen Willard-Gallo, Christine Desmedt, Martine Piccart, , Vincent Detours

This study identifies ADAR expression and inflammation as key regulators of A-to-I RNA editing in breast cancer, showing increased editing frequency in tumors and its impact on cell proliferation and apoptosis.

Cell Reports · Oct 1, 2015Peer-reviewedGenomics