Author

Marie Cerciat

Centre National de la Recherche ScientifiqueORCID 0000-0002-8085-1942Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 2 Developmental Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Research Focus:differential expression· 2 Organism:human· 2 Organism:mouse· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:trajectory inference· 2

Frequent Co-Authors

Andrea RibaiD· 2 shared Matthieu JungiD· 2 shared Nacho MolinaiD· 2 shared Violaine Alunni· 2 shared Attila OravecziD· 1 shared Betty Féret· 1 shared Céline KeimeiD· 1 shared Chloé MayèreiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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2 shared papersSystems Biology

Andrea RibaORCID

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3 papers

Recent·Most cited

Systems BiologyCell ReportsPeer-reviewedAug 1, 2025

Single-cell multiomics reveals the oscillatory dynamics of mRNA metabolism and chromatin accessibility during the cell cycle

Maulik K. Nariya, David Santiago‐Algarra, Olivier Tassy…·Nacho Molina

The paper uses single-cell multiomics to analyze mRNA metabolism and chromatin accessibility dynamics during the cell cycle, revealing oscillatory patterns and regulatory mechanisms.

4 citations

humanscRNA-seq

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Developmental BiologybioRxivPreprintJan 4, 2023

Loss of NR5A1 in Sertoli cells after sex determination changes their cellular identity and induces their death by anoikis

Sirine Souali‐Crespo, Diana Condrea, Nadège Vernet…·Norbert B. Ghyselinck

This study shows that loss of NR5A1 in Sertoli cells after sex determination leads to their transdifferentiation, anoikis, and testis abnormalities.

DOI 10.1101/2023.01.04.522755

mousebulk RNA-seq

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Systems BiologyNature CommunicationsPeer-reviewedMay 23, 2022

Cell cycle gene regulation dynamics revealed by RNA velocity and deep-learning

Andrea Riba, Attila Oravecz, Matej Durik…·Nacho Molina

The paper uses scRNA-seq and deep learning to map cell cycle gene regulation dynamics in mouse and human cells, identifying key transcription waves and transitions.

113 citationstop 1%

mousehuman

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