Author

Nada Al-Refaie

Helmholtz Munich

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· 1 Developmental Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:C. elegans· 2 Research Focus:differential expression· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Assay:ChIP-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Daphne S. CabiancaiD· 2 shared Alejandro Mata‐CabanaiD· 1 shared Almudena Moreno-RiveroiD· 1 shared Ana Rita Rodrigues NevesiD· 1 shared Beatriz Ren-BarrosoiD· 1 shared Cristina Piñeiro LópeziD· 1 shared Dimitra Chatzitheodoridou· 1 shared Francesco PadovaniiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 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 papersDevelopmental Biology

Daphne S. CabiancaORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

HLH-30/TFEB is necessary for chromatin reorganization and maintenance of cell quiescence during starvation in C. elegans

Marta Muñoz-Barrera, Alejandro Mata‐Cabana, Almudena Moreno-Rivero, Francine Piubeli, Beatriz Ren-Barroso, Nada Al-Refaie, Gabriel Gutiérrez, Daphne S. Cabianca, María Olmedo

This study shows HLH-30/TFEB is essential for chromatin reorganization and cell quiescence during starvation in C. elegans, with loss of HLH-30 disrupting cell cycle arrest and causing premature developmental activation.

Nucleic Acids Research · Sep 21, 2026Peer-reviewedDevelopmental Biology

SpotMAX: a generalist framework for multi-dimensional automatic spot detection and quantification

Francesco Padovani, Ivana Čavka, Ana Rita Rodrigues Neves, Cristina Piñeiro López, Nada Al-Refaie, Leonardo Bolcato, Dimitra Chatzitheodoridou, Yagya Chadha, Pablo Lagos, Timon Stegmaier, Xiaofeng A. Su, Jette Lengefeld, Daphne S. Cabianca, Simone Köhler, Kurt M. Schmoller

SpotMAX is an AI-driven framework for automated spot detection and quantification in microscopy data, outperforming existing tools and human annotators across diverse biological applications.

Science Advances · Jul 8, 2026Peer-reviewedCell Biology