Evidence map›Paper›PMID 39843543›Full record

ArticleScientific reports2025

Integrated gene expression and alternative splicing analysis in human and mouse models of Rett syndrome.

Silvia Gioiosa, Silvia Gasparini, Carlo Presutti, Arianna Rinaldi, Tiziana Castrignanò, Cecilia Mannironi

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Review
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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

6 authors.

Silvia Gioiosa *CINECA, SuperComputing Applications and Innovation Department, Via dei Tizii 6, 00185, Rome, Italy. s.gioiosa@cineca.it.
Silvia Gasparini *Institute of Molecular Biology and Pathology, National Research Council, 00185, Rome, Italy.
Carlo PresuttiDepartment of Biology and Biotechnology "C. Darwin", Sapienza University of Rome, 00185, Rome, Italy.
Arianna RinaldiDepartment of Biology and Biotechnology "C. Darwin", Sapienza University of Rome, 00185, Rome, Italy.
Tiziana CastrignanòDepartment of Ecological and Biological Sciences (DEB), University of Tuscia, Largo Università snc, 01100, Viterbo, Italy.
Cecilia MannironiInstitute of Molecular Biology and Pathology, National Research Council, 00185, Rome, Italy. cecilia.mannironi@cnr.it.

Funding

Cariplo Telethon Alliance GJC22071
6 · The paper itself

Abstract

Mutations of the MECP2 gene lead to Rett syndrome (RTT), a rare developmental disease causing severe intellectual and physical disability. How the loss or defective function of MeCP2 mediates RTT is still poorly understood. MeCP2 is a global gene expression regulator, acting at transcriptional and post-transcriptional levels. Little attention has been given so far to the contribution of alternative splicing (AS) dysregulation to RTT pathophysiology. To perform a comparative analysis of publicly available RNA sequencing (RNA-seq) studies and generate novel data resources for AS, we explored 100 human datasets and 130 mouse datasets from Mecp2-mutant models, processing data for gene expression and alternative splicing. Our comparative analysis across studies indicates common species-specific differentially expressed genes (DEGs) and differentially alternatively spliced (DAS) genes. Human and mouse dysregulated genes are involved in two main functional categories: cell-extracellular matrix adhesion regulation and synaptic functions, the first category more significantly enriched in human datasets. Our extensive bioinformatics study indicates, for the first time, a significant dysregulation of AS in human RTT datasets, suggesting the crucial contribution of altered RNA processing to the pathophysiology of RTT.

Indexed as

Alternative SplicingMethyl-CpG-Binding Protein 2Rett SyndromeAnimalsComputational BiologyDisease Models, AnimalGene Expression ProfilingGene Expression RegulationHumansMiceMutationTranscriptomeMECP2 protein, humanMethyl-CpG-Binding Protein 2Alternative splicingGene expressionRett syndromeRNA-seq

Identifiers

PMID39843543
PMCPMC11754816

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.