Protocol Citation: Stefania Policicchio, Barry Chioza, Jonathan P Davies, Joe Burrage, Jonathan Mill, Emma L Dempster 2026. Fluorescence-activated nuclei sorting (FANS) on human post-mortem cortex tissue enabling the isolation of distinct neural cell populations for multiple omic profiling. protocols.io https://dx.doi.org/10.17504/protocols.io.36wgq4965vk5/v3Version created by Barry Chioza Manuscript citation: Shireby G, Dempster EL, Policicchio S, Smith RG, Pishva E, Chioza B, Davies JP, Burrage J, Lunnon K, Vellame DS, Love S, Thomas A, Brookes K, Morgan K, Francis P, Hannon E, Mill J, DNA methylation signatures of Alzheimer’s disease neuropathology in the cortex are primarily driven by variation in non-neuronal cell-types. Nature Communications doi: 10.1038/s41467-022-33394-7 License: This is an open access protocol distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Protocol status: WorkingWe use this protocol and it's working
Created: May 27, 2026
Last Modified: June 10, 2026
Protocol Integer ID: 318019
Keywords: FANS, post-mortem brain, nuclei, flow cytometry, anti-SOX10, anti-IRF8, anti-NeuN, nuclei sorting, nuclei from multiple different human brain cell, cellular composition in regulatory genomic study, multiple different human brain cell, heterogeneous mix of different neural cell type, distinct neural cell population, isolation of distinct neural cell population, epigenetic process, regulatory genomic study, other glial origin nuclei, different neural cell type, open chromatin analysis, genomic data, genome, gene regulation, specific cell, specific patterns of gene regulation, oligodendrocyte, transcriptional variation in health, cellular composition, amount of genomic data, determining cell type, tissue sample, transcriptional variation, current analyses of the human brain, cell type, gene expression, human brain, dna, populations of specific cell, microglia, cell, multiple omic profiling, purified populations of nuclei
Funders Acknowledgements:MRC Research Grant
Grant ID: MR/R005176/1
Alzheimer’s Research UK (ARUK)
Grant ID: ARUK-PPG2018A-010