Evidence map›Paper›PMID 41920049›Full record

ArticleThe FEBS journal2026

Spatially resolved mapping of histones reveals selective neuronal response in Rett syndrome.

Frederike Schäfer, Giuseppina De Rocco, Moritz Völker-Albert, Ignasi Forne, Nicoletta Landsberger, Axel Imhof, Shibojyoti Lahiri

Abstract read
In one paragraph

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

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Frederike SchäferBiomedical Center Munich, Department of Molecular Biology, Faculty of Medicine, Ludwig-Maximilians Universität München, Planegg-Martinsried, Germany.
Giuseppina De RoccoSan Raffaele Rett Research Unit, Neuroscience Division, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Moritz Völker-AlbertMoleQlar Analytics GmbH, München, Germany.
Ignasi ForneBiomedical Center Munich, Protein Analysis Unit (ZfP), Faculty of Medicine, Ludwig-Maximilians Universität München, Planegg-Martinsried, Germany.
Nicoletta LandsbergerSan Raffaele Rett Research Unit, Neuroscience Division, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Axel ImhofBiomedical Center Munich, Department of Molecular Biology, Faculty of Medicine, Ludwig-Maximilians Universität München, Planegg-Martinsried, Germany.ORCID https://orcid.org/0000-0003-2993-8249
Shibojyoti LahiriBiomedical Center Munich, Department of Molecular Biology, Faculty of Medicine, Ludwig-Maximilians Universität München, Planegg-Martinsried, Germany.ORCID https://orcid.org/0000-0002-2018-9870

Funding

Deutsche Forschungsgemeinschaft CRC1064-TPZ03Deutsche Forschungsgemeinschaft CRC1123-TPZ02Deutsche Forschungsgemeinschaft CRC1309-TPB03Forschungsmodul Medizin program of the Medical FacultyproRETTSCALE-UP project of the Department of Medical Biotechnology and Translational Medicine
6 · The paper itself

Abstract

Rett syndrome (RTT), a severe neurological disorder caused by loss-of-function mutations in the X-linked Mecp2 gene, results in profound life-long neurological dysfunction. Rett syndrome patients live an apparently normal initial life until 12-18 months of age, after which a progressive accumulation of a wide range of phenotypic manifestations sets in. While MeCP2 is known to regulate chromatin, its impact on global histone composition and dynamics remains poorly understood. Here, we combine mass spectrometry imaging (MSI) and laser capture microdissection (LCM) coupled to LC-MS/MS to systematically profile histone proteoforms in three key brain regions: the dentate gyrus (DG) and cornu ammonis (CA) of the hippocampus, and the cerebellum (Cb). Our analysis reveals striking neuron-specific differences in histone composition between Mecp2-deficient and wild-type (WT) mice. Interestingly, the expression of a pathogenic Mecp2 missense mutant (Y120D) results in subtler changes in histone composition that are distinct from the null mutation. This study provides the first spatially resolved epigenetic atlas of histone proteoforms in Rett syndrome and suggests that Mecp2 loss perturbs chromatin homeostasis in a neuron- and mutation-dependent manner. Our findings underscore the critical need for cell-type-resolved analyses to unravel the mechanistic underpinnings of Rett syndrome and emphasize the importance of personalized therapeutic strategies that consider both the affected cell type and particular Mecp2 mutation.

Indexed as

HistonesMethyl-CpG-Binding Protein 2NeuronsRett SyndromeAnimalsCerebellumDentate GyrusHippocampusHumansLaser Capture MicrodissectionMiceMice, KnockoutTandem Mass SpectrometryHistonesMecp2 protein, mouseMethyl-CpG-Binding Protein 2histone modificationslaser capture microdissectionmass spectrometry imagingMecp2Rett syndromespatial proteomics

Identifiers

PMID41920049
PMCPMC13628532

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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.