Author

Michaël Ryckelynck

Centre National de la Recherche ScientifiqueORCID 0000-0002-2225-3733Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Molecular Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:experimental assay· 2 Assay:bulk RNA-seq· 1 Organism:human· 1

Frequent Co-Authors

Beatrix SuessiD· 1 shared Bence SzalaiiD· 1 shared Bruno KiefferiD· 1 shared Carmelo Di PrimoiD· 1 shared Christoph A. MerteniD· 1 shared Claire HusseriD· 1 shared Ewgenij ProschakiD· 1 shared Isabelle LebarsiD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperMolecular Biology

Beatrix SuessORCID

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2 papers

Recent·Most cited

Ultrahigh-throughput discovery of modified aptamers as specific and potent enzyme inhibitors

Claire Husser, Janis Hoetzel, Roger Cubí, Isabelle Lebars, Leon Kraus, Carmelo Di Primo, Stéphanie Baudrey, Ewgenij Proschak, Bruno Kieffer, Beatrix Suess, Michaël Ryckelynck

The paper introduces an ultrahigh-throughput strategy to discover modified aptamers as specific and potent enzyme inhibitors, demonstrating its effectiveness with an inhibitor of SPM-1.

bioRxiv · Aug 16, 2024 · PreprintMolecular Biology

Combi-Seq: Multiplexed transcriptome-based profiling of drug combinations using 1deterministic barcoding in single-cell droplets

Lukas Mathur, Bence Szalai, N. H. Du, Ramesh Utharala, Martine Ballinger, Jonathan J. M. Landry, Michaël Ryckelynck, Vladimı́r Beneš, Julio Sáez-Rodríguez, Christoph A. Merten

The paper develops a method to screen drug combinations using single-cell transcriptome analysis, identifying synergistic and antagonistic pairs in K562 cells.

Nature Communications · Aug 1, 2022Peer-reviewedSystems Biology