Author

E. Ventre

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Cell Biology· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 2 Organism:chicken / avian· 1 Research Focus:differential expression· 1 Assay:fluorescence / live-cell microscopy· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Bonnaffoux· 1 shared A. Healy· 1 shared A. Moussy· 1 shared A. Ozier-Lafontaine· 1 shared A. Weston· 1 shared C. Fourneaux· 1 shared C. W. Lee· 1 shared E. Duchemin-Pelletier· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 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

1 shared paperCell Biology

A. Bonnaffoux

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Development and validation of a high throughput screening platform to enable target identification in skeletal muscle cells from Duchenne Muscular Dystrophy (DMD) patients

S. Hariharan, O. Lorintiu, C. W. Lee, E. Duchemin-Pelletier, X. Li, A. Healy, R. Doyonnas, L. Selig, P. Poydenot, E. Ventre, A. Weston, J. Owens, N. Christoforou

The paper develops and validates a high throughput screening platform using morphological profiling to predict DMD disease phenotype in patient-derived myotubes.

bioRxiv · May 24, 2023 · PreprintCell Biology

Evidence for close molecular proximity between reverting and undifferentiated cells

S. Zreika, C. Fourneaux, E. Vallin, L. Modolo, R. Seraphin, A. Moussy, E. Ventre, M. Bouvier, A. Ozier-Lafontaine, A. Bonnaffoux, F. Picard, O. Gandrillon, S. Gonin-Giraud

The paper characterizes reverting cells by comparing their molecular state to undifferentiated cells using single-cell transcriptomic data and finds they return to an earlier molecular state with minimal differences.

bioRxiv · Feb 1, 2022Cell Biology