Ameiurus melas
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA603411 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| JAAGNN01.dat.gz | Other | |||
| JAAGNN01.fasta.gz | Fasta.gz | |||
| JAAGNN01.master.dat | Other | |||
| SRR13385841_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 10 |
Similar Datasets
Project description:Ameiurus melas isolate:M_S1 Genome sequencing and assembly
| PRJNA603265 | ENA
Project description:Ameiurus nebulosus neoplastic liver transcriptome
| PRJNA575191 | ENA
Project description:Ameiurus nebulosus Transcriptome or Gene expression
| PRJNA167114 | ENA
Project description:We investigate the participation of miRNAs in the cell response to the mitochondrial dysfunction associated with m.3243A>G mutation in mitochondrial DNA (mtDNA), which is the most common cause of MELAS (mitochondrial encephalomyopathy, lactic acidosis, and stroke-like episodes) syndrome.Through small-RNA sequencing and in silico analysis, we identified 246 differentially-expressed in a transmitochondrial cybrid model of MELAS (100% m.3243A>G mutant mitochondrial DNA), with 126 being up-regulated and 120 down-regulated. The enrichment analysis of Gene Ontology (GO) terms revealed that target genes for dysregulated miRNAs were involved in muscle and nervous system development, heart development, and signaling pathways controlling cardiac events.These data suggest that the miRNA program triggered by the MELAS m.3243A>G mutation could explain for some of the clinical manifestations of the MELAS syndrome.
2019-03-29 | GSE113300 | GEO
Project description:Background: The heteroplasmic mitochondrial DNA (mtDNA) mutation A3243G causes the MELAS syndrome as one of the most frequent mitochondrial diseases. The process of reconfiguration of nuclear gene expression profile to accommodate cellular processes to the functional status of mitochondria might be a key to MELAS disease manifestation and could contribute to its diverse phenotypic presentation. Objective: To determine master regulatory protein networks and disease-modifying genes in MELAS syndrome. Methods: Analyses of whole blood transcriptomes from 10 MELAS patients using a novel strategy by combining classic Affymetrix oligonucleotide microarray profiling with regulatory and protein interaction network analyses. Results and Interpretation: Hierarchical cluster analysis elucidated that the relative abundance of mutant mtDNA molecules is decisive for the nuclear gene expression response. Further analyses confirmed not only transcription factors already known to be involved in mitochondrial diseases (such as TFAM), but also detected the hypoxia-inducible factor 1α (HIF-1α)/HIF-1β complex, nuclear factor Y (NF-Y) and CREB-related transcription factors as novel master regulators for reconfiguration of nuclear gene expression in response to the MELAS mutation. Correlation analyses of gene alterations and clinico-genetic data detected significant correlations between A3243G-induced nuclear gene expression changes and mutant mtDNA load as well as disease characteristics. These potential disease-modifying genes influencing the expression of the MELAS phenotype are mainly related to clusters primarily unrelated to cellular energy metabolism, but important for nucleic acid and protein metabolism, and signal transduction. Our data thus provide a framework to search for new pathogenetic concepts and potential therapeutic approaches to treat the MELAS syndrome. Peripheral blood samples were collected from ten A3243G MELAS patients and twenty age- and sex-matched healthy controls (2 controls for each patient). The patient cohort consisted of 4 females and 6 males, mean±s.e.m. age was 44.1±11.9 years (range: 22–63 years), mean±s.e.m. age at disease onset was 27.1±4.9 years (range: 13–55 years), mean±s.e.m. disease duration was 19.0±4.7 years (range: 4–43 years), and disease severity measured by the ‘Newcastle Mitochondrial Disease Adult Scale’ (NMDAS) 8 ranging from 0.0 (no symptoms) to 1.0 (maximum score) was 0.26±0.05 (range: 0.02–0.54).
2011-01-24 | E-GEOD-14882 | biostudies-arrayexpress