Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

MiR-431 promotes differentiation and regeneration of old skeletal muscle by targeting Smad4

ABSTRACT: we identified novel age-related microRNAs through comparative analysis of miRNA expression profiles in young and old myoblasts using next generation sequencing (NGS) small RNA profiles of young mouse and old mouse were generated by deep sequencing, in each four samples, using Illumina GAIIx

ORGANISM(S): Mus musculus

SUBMITTER: sujin Baek

PROVIDER: E-GEOD-66267 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Publications

miR-431 promotes differentiation and regeneration of old skeletal muscle by targeting Smad4.

Lee Kwang-Pyo KP Shin Yeo Jin YJ Panda Amaresh C AC Abdelmohsen Kotb K Kim Ji Young JY Lee Seung-Min SM Bahn Young Jae YJ Choi Jeong Yi JY Kwon Eun-Soo ES Baek Su-Jin SJ Kim Seon-Young SY Gorospe Myriam M Kwon Ki-Sun KS

Genes & development 20150727 15

The myogenic capacity of myoblasts decreases in skeletal muscle with age. In addition to environmental factors, intrinsic factors are important for maintaining the regenerative potential of muscle progenitor cells, but their identities are largely unknown. Here, comparative analysis of microRNA (miRNA) expression profiles in young and old myoblasts uncovered miR-431 as a novel miRNA showing markedly reduced abundance in aged myoblasts. Importantly, elevating miR-431 improved the myogenic capacit ...[more]

PMID: 26215566

Similar Datasets

miR-431 promotes differentiation and regeneration of old skeletal muscle by targeting Smad4

Project description:we identified novel age-related microRNAs through comparative analysis of miRNA expression profiles in young and old myoblasts using next generation sequencing (NGS)

2015-09-04 | GSE66267 | GEO

miR-431 promotes differentiation and regeneration of old skeletal muscle by targeting Smad4.

Project description:The myogenic capacity of myoblasts decreases in skeletal muscle with age. In addition to environmental factors, intrinsic factors are important for maintaining the regenerative potential of muscle progenitor cells, but their identities are largely unknown. Here, comparative analysis of microRNA (miRNA) expression profiles in young and old myoblasts uncovered miR-431 as a novel miRNA showing markedly reduced abundance in aged myoblasts. Importantly, elevating miR-431 improved the myogenic capacity of old myoblasts, while inhibiting endogenous miR-431 lowered myogenesis. Bioinformatic and biochemical analyses revealed that miR-431 directly interacted with the 3' untranslated region (UTR) of Smad4 mRNA, which encodes one of the downstream effectors of TGF-β signaling. In keeping with the low levels of miR-431 in old myoblasts, SMAD4 levels increased in this myoblast population. Interestingly, in an in vivo model of muscle regeneration following cardiotoxin injury, ectopic miR-431 injection greatly improved muscle regeneration and reduced SMAD4 levels. Consistent with the finding that the mouse miR-431 seed sequence in the Smad4 3' UTR is conserved in the human SMAD4 3' UTR, inhibition of miR-431 also repressed the myogenic capacity of human skeletal myoblasts. Taken together, our results suggest that the age-associated miR-431 plays a key role in maintaining the myogenic ability of skeletal muscle with age.

| S-EPMC4536309 | biostudies-literature

Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type Young and Old muscle Transcriptomes

Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare Young and Old muscles transcriptome profiling (RNA-seq) to optimal high-throughput data analysis Results: Using an optimized data analysis workflow, we mapped about 30 million sequence reads per sample to the mouse genome (build mm10) and identified 24799 genes. Among them, 95.7% of the genes displayed the similar expression level in both young and old muscles.2% of genes (501) were significantly up-regulated and 2.3% of genes (584) were significantly down-regulated. p value <0.05.

2018-03-07 | GSE78147 | GEO

mRNA expression of young, mid-old, and old fibroblasts

Project description:mRNA expression of young, mid-old, and old fibroblasts

| PRJNA971965 | ENA

16s rRNA-young and old mouse gut microbiota-stroke

Project description:To explore the effects of gut microbiota of young (8 weeks) or old mice (18～20 months) on stroke, feces of young (Y1-Y9) and old mice (O6-O16) were collected and analyzed by 16s rRNA sequencing. Then stroke model was established on young mouse receive feces from old mouse (DOT1-15) and young mouse receive feces from young mouse (DYT1-15). 16s rRNA sequencing were also performed for those young mice received feces from young and old mice.

2021-10-15 | E-MTAB-10837 | biostudies-arrayexpress

Profiling of 18 - 45 nt small RNAs in the cauda epididymal sperm of mice and rats.

Project description:Total RNAs were extracted from the purified cauda epididymal spermatozoa of mouse (C57BL/6, 2 months old) and rats (Sprague Dawley, 450g young adult), and the 18 - 45 nt fraction small RNAs were subjected to library construction and deep sequencing, using Illumina GAIIx.

2018-10-31 | GSE122006 | GEO

mRNA expression of young, mid-old, and old fibroblasts

Project description:Examination of the difference in mRNA expression profile between young, mid-old, and old fibroblasts

2023-05-19 | GSE232427 | GEO

Young and Old C57BL/6N Mouse HSC RNA Sequencing

Project description:RNA sequencing of hematopoietic stem cells isolated from young (8-12 week) and old (24-27 month) BL6 mice.

2019-07-01 | GSE127522 | GEO

TMT isobaric profiling of young versus old haematopoietic stem cells

Project description:Mass spectrometry was performed with an Orbitrap Fusion Tribrid mass spectrometer (Thermo Scientific) interfaced with an UltiMate 3000 Binary RSLCnano System (Dionex). Proteome Discoverer v.1.4 (Thermo Scientific) with SEQUEST HT search engines was used for the spectra-preprocessing and HCD MS2 spectra were used for peptide identification and quantitation based on TMT reporter ions. TMT isobaric comparison of old versus young haematopoietic stem and progenitor cells. Young 1 and Young 2 are samples 126 and 128 of dataset UTH_1. Old 1 and Old 2 are samples 129 and 130 of UTH_1. Young 3 is sample 131 and Old 3 is sample 130 of dataset UTH_4.

2023-10-16 | MSV000093126 | MassIVE

Expression data of peripheral CD4+ T cells from young(6-8-week-old) and old(11-month-old) mice

Project description:We conducted gene expression profile analysis by using peripheral CD4+ T cells from young and old mice.Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed the most prominent biological processes altered in peripheral CD4+ T cells from young and old mice were associated with cytoplasmic DNA-sensing, AKT signaling and autoimmune disease.

2023-06-01 | GSE153462 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data