Author

David Santiago‐Algarra

Centre National de la Recherche ScientifiqueORCID 0000-0003-4697-7047Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Systems Biology· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Assay:scRNA-seq· 2 Research Focus:trajectory inference· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Maulik K. NariyaiD· 2 shared Nacho MolinaiD· 2 shared Tao YeiD· 2 shared Andrea RibaiD· 1 shared Christelle Thibault-CarpentieriD· 1 shared Gianni ZanardelliiD· 1 shared Idris Kouadri BoudjelthiaiD· 1 shared Marie CerciatiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 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

2 shared papersSystems Biology

Maulik K. NariyaORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Comparison of cell-cycle gene expression dynamics and mRNA kinetics across mouse and human pluripotent systems

Maulik K. Nariya, David Santiago‐Algarra, Gianni Zanardelli, Idris Kouadri Boudjelthia, Tao Ye, Christelle Thibault-Carpentier, Sophie Jarriault, Nacho Molina

This study compares cell-cycle gene expression dynamics and mRNA kinetics across mouse and human pluripotent systems, revealing species-specific differences in transcriptional complexity and oscillatory control.

bioRxiv · Sep 16, 2026 · PreprintSystems Biology

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, Marie Cerciat, Tao Ye, Andrea Riba, 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.

Cell Reports · Aug 1, 2025Peer-reviewedSystems Biology