Evidence map›Paper›PMID 42837428›Full record

ArticlePloS one2026

Optimised fluorescence-activated nuclei sorting for epigenomic analysis of cortical cell types.

Barry Chioza, Stefania Policicchio, Joe Burrage, Georgina E T Blake, Rosemary A Bamford, Alice Franklin, Darren Soanes, Philippa M Wells, Ann Babtie, Marina Flores Payan and 9 more

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Barry ChiozaDepartment of Clinical & Biomedical Sciences, University of Exeter Medical School, Exeter, United Kingdom.ORCID https://orcid.org/0000-0002-3546-1726
Stefania PolicicchioDepartment of Clinical & Biomedical Sciences, University of Exeter Medical School, Exeter, United Kingdom.
Joe BurrageDepartment of Clinical & Biomedical Sciences, University of Exeter Medical School, Exeter, United Kingdom.
Georgina E T BlakeDepartment of Clinical & Biomedical Sciences, University of Exeter Medical School, Exeter, United Kingdom.
Rosemary A BamfordDepartment of Clinical & Biomedical Sciences, University of Exeter Medical School, Exeter, United Kingdom.
Alice FranklinDepartment of Clinical & Biomedical Sciences, University of Exeter Medical School, Exeter, United Kingdom.
Darren SoanesDepartment of Clinical & Biomedical Sciences, University of Exeter Medical School, Exeter, United Kingdom.ORCID https://orcid.org/0000-0001-5025-295X
Philippa M WellsDepartment of Clinical & Biomedical Sciences, University of Exeter Medical School, Exeter, United Kingdom.
Ann BabtieDepartment of Clinical & Biomedical Sciences, University of Exeter Medical School, Exeter, United Kingdom.ORCID https://orcid.org/0000-0001-9357-8351
Marina Flores PayanDepartment of Clinical & Biomedical Sciences, University of Exeter Medical School, Exeter, United Kingdom.
Jonathan P DaviesDepartment of Clinical & Biomedical Sciences, University of Exeter Medical School, Exeter, United Kingdom.
Anthony KlokkarisDepartment of Clinical & Biomedical Sciences, University of Exeter Medical School, Exeter, United Kingdom.ORCID https://orcid.org/0000-0001-8599-3109
Emma M WalkerDepartment of Clinical & Biomedical Sciences, University of Exeter Medical School, Exeter, United Kingdom.ORCID https://orcid.org/0000-0003-2222-4577
Joy N IsmailDepartment of Brain Sciences, Imperial College London, London, United Kingdom.
Paulina UrbanaviciuteUK Dementia Research Institute, King's College London, London, United Kingdom.ORCID https://orcid.org/0009-0000-4233-201X
Sarah J MarziDepartment of Brain Sciences, Imperial College London, London, United Kingdom.
Eilis HannonDepartment of Clinical & Biomedical Sciences, University of Exeter Medical School, Exeter, United Kingdom.ORCID https://orcid.org/0000-0001-6840-072X
Jonathan MillDepartment of Clinical & Biomedical Sciences, University of Exeter Medical School, Exeter, United Kingdom.ORCID https://orcid.org/0000-0003-1115-3224
Emma L DempsterDepartment of Clinical & Biomedical Sciences, University of Exeter Medical School, Exeter, United Kingdom.ORCID https://orcid.org/0000-0003-1257-5314

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increased understanding of the functional complexity of the genome has led to growing recognition of the role of non-sequence-based regulatory variation in disorders of the human central nervous system. Most genomic analyses of the brain are limited by the use of bulk tissue, which comprises a heterogeneous mix of different neural cell types with distinct epigenetic profiles, thereby limiting the ability to attribute regulatory changes to specific cell populations. Given the limited availability of human post-mortem tissue resources and the importance of integrating multi-omic data from the same samples, there is a critical need for methods that enable parallel, cell-type-resolved genomic profiling. We present optimised protocols using fluorescence-activated nuclei sorting (FANS) to isolate nuclei from different human and mouse brain cell types for downstream multi-omic analysis. Our approach enables the robust purification of neuronal, oligodendrocyte, microglial and other glial-origin nuclei from both adult and fetal brain tissue. We demonstrate that FANS-isolated nuclei are compatible with a wide range of genomic assays, including profiling of DNA modifications, histone modifications, chromatin accessibility, and gene expression. This protocol maximises the utility of limited post-mortem tissue resources and provides a unified workflow for comprehensive, cell-type-specific interrogation of molecular mechanisms involved in the brain.

Indexed as

Cell NucleusCerebral CortexEpigenesis, GeneticEpigenomicsFlow CytometryAnimalsBrainHumansMiceNeurons

Identifiers

PMID42837428
PMCPMC13641707

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.