Author

D. Figarella-Branger

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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Cancer Biology· 1 Immunology· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:flow cytometry· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

E. Tabouret· 3 shared O. Chinot· 2 shared A. A. Bougaev· 1 shared A. J. COMBES· 1 shared B. Mouysset· 1 shared B. SAMAD· 1 shared C. Buffat· 1 shared C. Colin· 1 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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Curved chords = mutual co-authorship

3 shared papersPharmacology & Toxicology

E. Tabouret

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Combination drug screen targeting glioblastoma core vulnerabilities reveals pharmacological synergisms

J. Ariey-Bonnet, R. Berges, M.-P. Montero, B. Mouysset, P. Piris, K. Muller, G. Pinna, T. W. Failes, G. M. Arndt, N. Baeza-Kallee, C. Colin, O. Chinot, D. Braguer, X. Morelli, N. ANDRE, , E. Pasquier

This study identifies synergistic drug combinations for glioblastoma by screening core vulnerabilities and validating them in preclinical models.

bioRxiv · Dec 14, 2022Pharmacology & Toxicology

An AI-powered blood test to detect cancer using nanoDSF

P. O. Tsvetkov, R. Eyraud, S. Ayache, A. A. Bougaev, S. Malesinski, H. Benazha, S. Gorokhova, C. Buffat, C. Dehais, M. Sanson, F. Bielle, D. Figarella-Branger, O. Chinot, E. Tabouret, F. Devred

This paper presents an AI-powered blood test using nanoDSF to detect cancer with 92% accuracy in glioma patients versus healthy controls.

bioRxiv · Aug 9, 2020Cancer Biology

SCENITH: A flow cytometry based method to functionally profile energy metabolism with single cell resolution

R. J. ARGUELLO, A. J. COMBES, R. CHAR, E. BOUSIQUOT, J. P. GIGAN, V. CAMOSSETO, B. SAMAD, J. TSUI, P. YAN, S. BOISSONNEAU, D. FIGARELLA-BRANGER, E. GATTI, E. TABOURET, M. F. Krummel, P. PIERRE

SCENITH functionally profiles energy metabolism at single-cell resolution using flow cytometry, revealing variable metabolic profiles in tumor myeloid cells not linked to lineage or activation phenotype.

bioRxiv · Mar 10, 2020Immunology