Author

Sébastien De Landtsheer

University of LuxembourgORCID 0000-0002-5421-2338Unclaimed 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:deep learning· 2 Research Focus:drug response / drug discovery· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Assay:imaging· 1

Frequent Co-Authors

Thomas SauteriD· 3 shared Achim KrameriD· 2 shared Adrián E. GranadaiD· 2 shared Carolin EctoriD· 2 shared Christoph SchmaliD· 2 shared Hanspeter HerzeliD· 2 shared Jeff DidieriD· 2 shared Ulrich KeilholziD· 2 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersCancer Biology

Thomas SauterORCID

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3 papers

Recent·Most cited

GenomicsbioRxivPreprintJun 10, 2025

Changes in DNA methylation after trauma processing and meditation in a large group setting of 1.6 years duration (Timeless Wisdom Training)

Michael Gruenwald, Sébastien De Landtsheer, Thomas Huebl, Thomas Sauter

This study examines DNA methylation changes in participants of a 1.6-year trauma processing and meditation program, finding 3227 CpGs and 253 genes differentially methylated, with implications for nervous and immune system functions.

DOI 10.1101/2025.06.10.658799

humanDNA methylation

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Cancer BiologyMolecular Systems BiologyPeer-reviewedFeb 24, 2025

Circadian clock features define novel breast cancer subtypes and shape drug sensitivity

Carolin Ector, Jeff Didier, Sébastien De Landtsheer…·Adrián E. Granada

This study identifies circadian clock subtypes in breast cancer and shows their impact on drug sensitivity.

9 citations

humanbulk RNA-seq

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Cancer BiologyNature CommunicationsPeer-reviewedAug 22, 2024

Time-of-day effects of cancer drugs revealed by high-throughput deep phenotyping

Carolin Ector, Christoph Schmal, Jeff Didier…·Adrián E. Granada

This study identifies optimal drug treatment times by analyzing circadian rhythms and drug responses in cancer cells using high-throughput deep phenotyping.

29 citationstop 3%

humanimaging

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