Author

C. Serdjebi

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· 2 Pathology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:human· 2 Organism:rat· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

A. Boyer· 1 shared A. Hamai· 1 shared B. Lepoivre· 1 shared C. Ansaldi· 1 shared C. Drouot· 1 shared C. E. Laurent· 1 shared C. Pouypoudat· 1 shared D. Barbolosi· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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1 shared paperCancer Biology

A. Boyer

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Author profile →

3 papers

Recent·Most cited

UNRAVELING THE LUNG VASCULAR REMODELING IN PULMONARY HYPERTENSION USING A QUANTITATIVE DIGITAL PATHOLOGY SOFTWARE

C. Serdjebi, F. Chandes, M. Biernat, B. Lepoivre, D. Salvail, C. E. Laurent

The paper develops a digital pathology software to automate the analysis of lung vascular remodeling in PAH rat models, showing strong correlation with manual analysis and physiological parameters.

bioRxiv · Jul 1, 2024 · PreprintPathology

GNS561, a clinical-stage PPT1 inhibitor, is efficient against hepatocellular carcinoma via modulation of lysosomal functions

S. BRUN, E. Raymond, F. Bassissi, Z. M. Jilkova, S. Mezouar, M. Rachid, M. Novello, J. Tracz, A. Hamai, G. Lalmanach, L. Vanderlynden, E. Bestion, R. Legouffe, J. Stauber, T. Schubert, , P. Halfon

This paper evaluates GNS561, a PPT1 inhibitor, showing its efficacy against HCC by modulating lysosomal functions and inducing cell death in vitro and in vivo.

bioRxiv · Sep 30, 2020Cancer Biology

Quantitative mathematical modeling of clinical brain metastasis dynamics in non-small cell lung cancer

M. Bilous, C. Serdjebi, A. Boyer, P. Tomasini, C. Pouypoudat, D. Barbolosi, F. Barlesi, F. Chomy, S. Benzekry

The paper develops a mathematical model to predict brain metastasis dynamics in NSCLC using clinical data and estimates tumor age and latency phases.

bioRxiv · Aug 27, 2019Cancer Biology