ReviewOrphanet journal of rare diseases2018
Transcriptome level analysis in Rett syndrome using human samples from different tissues.
Review in Orphanet journal of rare diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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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.
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Who cites it
20 citing papers in PubMed, 40 citations in OpenAlex.
- Vagus Nerve Stimulation Paired With Tones Alters the Auditory Cortex Proteome in a Rat Model of Rett Syndrome.Developmental neurobiology · 2026Article
- MECP2 Duplication Uncouples Mitochondrial and Purine Metabolism During neuronal maturation.bioRxiv : the preprint server for biology · 2025Article
- Integrated gene expression and alternative splicing analysis in human and mouse models of Rett syndrome.Scientific reports · 2025Article
- RettDb: the Rett syndrome omics database to navigate the Rett syndrome genomic landscape.Database : the journal of biological databases and curation · 2024Article
- Ex vivo disease modelling of Rett syndrome: the transcriptomic and metabolomic implications of direct neuronal conversion.Molecular biology reports · 2024Article
- Systematic and quantitative analysis of stop codon readthrough in Rett syndrome nonsense mutations.Journal of molecular medicine (Berlin, Germany) · 2024Article
- 24-h continuous non-invasive multiparameter home monitoring of vitals in patients with Rett syndrome by an innovative wearable technology: evidence of an overlooked chronic fatigue status.Frontiers in neurology · 2024Article
- Mitochondrial Proteome Changes in Rett Syndrome.Biology · 2023Article
- Multilevel evidence of MECP2-associated mitochondrial dysfunction and its therapeutic implications.Frontiers in psychiatry · 2023Article
- Recent Major Transcriptomics and Epitranscriptomics Contributions toward Personalized and Precision Medicine.Journal of personalized medicine · 2022Review
- Molecular Signatures of Response to Mecasermin in Children With Rett Syndrome.Frontiers in neuroscience · 2022Article
- Transcriptome and Metabonomics Analysis Revealed the Molecular Mechanism of Differential Metabolite Production ofFrontiers in plant science · 2022Article
- Article
- Transcriptomic and Epigenomic Landscape in Rett Syndrome.Biomolecules · 2021Review
- Circulating 4-FInternational journal of molecular sciences · 2021Article
- A Transcriptome-Based Drug Discovery Paradigm for Neurodevelopmental Disorders.Annals of neurology · 2021Article
- A catalogue of 863 Rett-syndrome-causing MECP2 mutations and lessons learned from data integration.Scientific data · 2021Article
- Quantitative proteomic analysis of Rett iPSC-derived neuronal progenitors.Molecular autism · 2020Article
- Transcriptomic Analysis ofFrontiers in psychiatry · 2019Article
- Beyond Pathway Analysis: Identification of Active Subnetworks in Rett Syndrome.Frontiers in genetics · 2019Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
The mechanisms of neuro-genetic disorders have been mostly investigated in the brain, however, for some pathologies, transcriptomic analysis in multiple tissues represent an opportunity and a challenge to understand the consequences of the genetic mutation. This is the case for Rett Syndrome (RTT): a neurodevelopmental disorder predominantly affecting females that is characterised by a loss of purposeful movements and language accompanied by gait abnormalities and hand stereotypies. Although the genetic aetiology is largely associated to Methyl CpG binding protein 2 (MECP2) mutations, linking the pathophysiology of RTT and its clinical symptoms to direct molecular mechanisms has been difficult.One approach used to study the consequences of MECP2 dysfunction in patients, is to perform transcriptomic analysis in tissues derived from RTT patients or Induced Pluripotent Stem cells. The growing affordability and efficiency of this approach has led to a far greater understanding of the complexities of RTT syndrome but is also raised questions about previously held convictions such as the regulatory role of MECP2, the effects of different molecular mechanisms in different tissues and role of X Chromosome Inactivation in RTT.In this review we consider the results of a number of different transcriptomic analyses in different patients-derived preparations to unveil specific trends in differential gene expression across the studies. Although the analyses present limitations- such as the limited sample size- overlaps exist across these studies, and they report dysregulations in three main categories: dendritic connectivity and synapse maturation, mitochondrial dysfunction, and glial cell activity.These observations have a direct application to the disorder and give insights on the altered mechanisms in RTT, with implications on potential diagnostic criteria and treatments.
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Registered trials
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.