Adrián de Rus-Moreno
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Adrián de Rus-Moreno has a total of 24 co-authors. Here are the top co-authors by number of shared publications:
- Aida Contreras-Pérez
Genome maintenance and instability Unit, Genome dynamics and function Program, Centro de Biología Molecular Severo Ochoa, CSIC-UAM, 28049, Madrid, Spain
1 shared publication - Alicia Gómez-Moya
Genome maintenance and instability Unit, Genome dynamics and function Program, Centro de Biología Molecular Severo Ochoa, CSIC-UAM, 28049, Madrid, Spain
1 shared publication - Ana Martinez-Val
Cardiovascular Proteomics Laboratory, Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain
1 shared publication - Berta Raposo Ponce
Flow cytometry facility, Centro de Biologia Molecular Severo Ochoa, CSIC-UAM, 28049, Madrid, Spain
1 shared publication - Bénédicte Desvoyes
Centro de Biología Molecular Severo Ochoa, CSIC-UAM, Madrid, Spain
1 shared publication - Carlos Perea-Resa
Genome maintenance and instability Unit, Genome dynamics and function Program, Centro de Biología Molecular Severo Ochoa, CSIC-UAM, 28049, Madrid, Spain
1 shared publication
Latest Publications
- Open Access
EpiFlow: multidimensional single-cell epigenetic profiling by spectral flow cytometry
The epigenetic landscape of individual cells determines their identity and function, yet current methods for profiling chromatin modifications at single-cell resolution remain low-throughput, costly, or limited in parametric depth. Here we present EpiFlow, a spectral flow cytometry-based platform that enables the simultaneous quantification of 16 epigenetic markers, including histone post-translational modifications, DNA methylation, and hydroxymethylation, at the single-cell level. We demonstrate that EpiFlow is robust across species from yeast to mammals and resolves biologically meaningful epigenetic transitions during the cell cycle, stem cell differentiation, germinal centre B cell maturation, diabetic liver remodelling, and seizure-induced chromatin reprogramming. High-dimensional integration of EpiFlow data enables cell-type classification based solely on epigenetic profiles in liver, brain, blood, and cancer. Furthermore, EpiFlow detects on-target and off-target/indirect effects of epigenetic drugs in a high-throughput-compatible format. Collectively, these results establish EpiFlow as a broadly applicable platform for single-cell epigenetic analysis in basic, pharmaceutical, and translational research.
Open AccessEpiFlow: multidimensional single-cell epigenetic profiling by spectral flow cytometry
The epigenetic landscape of individual cells determines their identity and function, yet current methods for profiling chromatin modifications at single-cell resolution remain low-throughput, costly, or limited in parametric depth. Here we present EpiFlow, a spectral flow cytometry-based platform that enables the simultaneous quantification of 16 epigenetic markers, including histone post-translational modifications, DNA methylation, and hydroxymethylation, at the single-cell level. We demonstrate that EpiFlow is robust across species from yeast to mammals and resolves biologically meaningful epigenetic transitions during the cell cycle, stem cell differentiation, germinal centre B cell maturation, diabetic liver remodelling, and seizure-induced chromatin reprogramming. High-dimensional integration of EpiFlow data enables cell-type classification based solely on epigenetic profiles in liver, brain, blood, and cancer. Furthermore, EpiFlow detects on-target and off-target/indirect effects of epigenetic drugs in a high-throughput-compatible format. Collectively, these results establish EpiFlow as a broadly applicable platform for single-cell epigenetic analysis in basic, pharmaceutical, and translational research.