Author

C. Fourneaux

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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Cell Biology· 3

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Organism:chicken / avian· 3 Approach:experimental assay· 2 Assay:scRNA-seq· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

O. Gandrillon· 3 shared S. Gonin-Giraud· 3 shared A. Moussy· 2 shared A. Paldi· 2 shared E. Vallin· 2 shared F. Picard· 2 shared L. Modolo· 2 shared R. Parmentier· 2 shared

Activity by Year

2022-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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3 shared papersCell Biology

O. Gandrillon

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

An Image-Guided Microfluidic System for Single-Cell Lineage Tracking

M. K. Aslan, C. Fourneaux, A. Yilmaz, S. Stavros, R. Parmentier, A. Paldi, S. Gonin-Giraud, A. J. deMello, O. Gandrillon

This paper introduces a microfluidic system for single-cell lineage tracking, demonstrating its ability to isolate and analyze sister cells with high viability for downstream RNA sequencing.

bioRxiv · Mar 31, 2023 · PreprintCell Biology

Differentiation is accompanied by a progressive loss in transcriptional memory

C. Fourneaux, L. Racine, C. Koering, S. Dussurgey, E. Vallin, A. Moussy, R. Parmentier, F. Brunard, D. Stockholm, L. Modolo, F. Picard, O. Gandrillon, A. Paldi, S. Gonin-Giraud

The paper quantifies how transcriptional memory decreases during differentiation by comparing related and unrelated cells across generations.

bioRxiv · Nov 2, 2022Cell 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