Neuroepigenetics of brain physiology and pathology Lab

Neuroepigenetics of brain physiology and pathology Lab

@palolab.bsky.social

We study how the brain uses cell-type-specific epigenetic mechanisms to encode external inputs as memories, and how these processes fail in aging and disease.

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Neuroepigenetics of brain physiology and pathology Lab
@palolab.bsky.social

Happy to share our first review, published by @ejneuroscience.bsky.social : Beyond Bulk: Cell-Type-Resolved Epigenomics as the Path Forward in Alzheimer's Disease Research. What we know and the future of single-cell, cell-type epigenetics for AD. onlinelibrary.wiley.com/doi/10.1111/...

onlinelibrary.wiley.comBeyond Bulk: Cell‐Type‐Resolved Epigenomics as the Path Forward in Alzheimer's Disease ResearchAlzheimer's disease affects multiple brain cell types through distinct epigenetic mechanisms. Although bulk analyses obscure these cell-type-specific changes, cell sorting and single-cell epitranscri...
Neuroepigenetics of brain physiology and pathology Lab
@palolab.bsky.social

Happy to share our first preprint! Led by @joseruiziglesias.bsky.social — EpiFlow: multidimensional single-cell epigenetic profiling by spectral flow cytometry Many thanks to @cbm-csic-uam.bsky.social, @ageinves.bsky.social and Fundación Ramón Areces for their support www.biorxiv.org/content/10.6...

biorxiv.orgEpiFlow: multidimensional single-cell epigenetic profiling by spectral flow cytometryThe 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. ### Competing Interest Statement The authors have declared no competing interest. Agencia Estatal de Investigación, PID2022-137384OA-I00 (ERDF /EU), RYC2021-031713-I (European Union NextGenerationEU/PRTR), EUR2024-153539, CNS2024-154632 Fundación Ramón Areces, CIVP22A7609

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