E-GEOD-46298
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: PRJNA198650
PROVIDER: E-GEOD-46298 | ExpressionAtlas | 2015-07-16
REPOSITORIES: ExpressionAtlas
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| E-GEOD-46298-analysis-methods.tsv | Tabular | |||
| E-GEOD-46298-atlasExperimentSummary.Rdata | Rdata | |||
| E-GEOD-46298-configuration.xml | Xml | |||
| E-GEOD-46298-configuration.xml.beforeQC | Xml | |||
| E-GEOD-46298-percentile-ranks.tsv | Tabular |
Items per page: 5 1 - 5 of 162 |
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Project description:Amyotrophic lateral sclerosis (ALS) is the most common motor neuron disease and still lacks effective disease-modifying treatments. Here, we performed a multiomic analysis of the prefrontal cortex from 51 sporadic ALS patients and 50 control subjects, as well as from four transgenic mouse models of C9orf72-, SOD1-, TDP-43-, and FUS-ALS to characterize early disease mechanisms in ALS. An integrated analysis of transcriptomes, (phospho-)proteomes, and miRNAomes revealed marked sex-specific differences, more pronounced in males. We identified four transcriptome-based sALS-subclusters that are driven by pathways involved in mitochondrial respiration, synaptic function, immune response and transcription. Diffusion pseudo time estimation suggested that these clusters may represent temporal states in disease progression. Individual omics and multifactorial factor analysis revealed the mitogen-activated protein kinase (MAPK) pathway as a disease-relevant mechanism. Its modulation by trametinib in vitro and in vivo validated MEK2 as an auspicious therapeutic target for a subgroup of ALS patients.
2024-05-16 | PXD043297 | Pride
Project description:Amyotrophic lateral sclerosis (ALS) is the most common motor neuron disease and still lacks effective disease-modifying treatments. Here, we performed a multiomic analysis of the prefrontal cortex from 51 sporadic ALS patients and 50 control subjects, as well as from four transgenic mouse models of C9orf72-, SOD1-, TDP-43-, and FUS-ALS to characterize early disease mechanisms in ALS. An integrated analysis of transcriptomes, (phospho-)proteomes, and miRNAomes revealed marked sex-specific differences, more pronounced in males. We identified four transcriptome-based sALS-subclusters that are driven by pathways involved in mitochondrial respiration, synaptic function, immune response and transcription. Diffusion pseudo time estimation suggested that these clusters may represent temporal states in disease progression. Individual omics and multifactorial factor analysis revealed the mitogen-activated protein kinase (MAPK) pathway as a disease-relevant mechanism. Its modulation by trametinib in vitro and in vivo validated MEK2 as an auspicious therapeutic target for a subgroup of ALS patients.
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2013-10-01 | E-GEOD-46298 | biostudies-arrayexpress
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Project description:Background Amyotrophic Lateral Sclerosis (ALS) is a fatal neurodegenerative disease associated with motor neuron degeneration, muscle atrophy and paralysis. To date, multiple panels of biomarkers have been described in ALS patients and murine models. Nevertheless, none of them has sufficient specificity and thus the molecular signature for ALS prognosis and progression remains to be fully elucidated. Circulating microRNAs (miRNAs) are highly stable molecules that are recently used as promising biomarkers for many types of human cancer and muscle disorders. Here we overcome this limitation through a longitudinal study, analyzing serum levels of circulating miRNAs in ALS patients during the progression of the pathology. Method We performed next-generation sequencing (NGS) analysis and absolute RT quantification of serum samples of 27 ALS patients and 11 healthy control; among them 13 ALS patients were studied every three months till the end of the disease. Results We demonstrated that miR-151a-3p, miR-206 and miR-199a-3p are significantly expressed at the mild, moderate and severe stages of ALS pathology, whereas the expression levels of miR-133a and miR-199a-5p remained low during the whole study and retain diagnostic significance in the moderate and severe stages (miR-133a) and in mild and terminal stages (miR-199a-5p) of the disease. Moreover, we analysed the miRNAs serum levels during the progression of the disease in each patient and we demonstrated that high levels of miR-206, miR-133a, miR-151a-5p, miR-151a-3p can predict a slower clinical decline of patient functionality suggesting that these miRNAs represent good potential prognostic markers for ALS disease. Conclusion This study is the first to perform a longitudinal absolute quantification of circulating miRNAs during ALS disease. We highlighted putative biomarkers for diagnosis, prognosis and disease stage identification of ALS patients providing cut-off threshold for most of the miRNAs analyzed. In addition, our results define a molecular signature of ALS phenotypes that could help to define appropriate enrollments of patients in clinical trials.
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