Browse
Submit Data
Databases
API
Help

Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Novel players in myogenesis identified by target validation for muscle specific microRNAs in C2C12 myoblasts

ABSTRACT: Search of novel miR-206 target genes in C2C12 cells, based on differential expression of transcripts containing putative miR-206 binding sites. miR-206 candidate target genes were hpothesized to be upregulated in AM206 vs Day2 sample and downregulated in siRNA vs Day 1 sample. total RNA extracted from various differentiation stages of C2C12 cells, as well as cells treated with miR-206 mimic or miR-206 inhibitor

ORGANISM(S): Mus musculus

SUBMITTER: Helio Pais

PROVIDER: E-GEOD-34069 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Publications

Regulation of multiple target genes by miR-1 and miR-206 is pivotal for C2C12 myoblast differentiation.

Goljanek-Whysall Katarzyna K Pais Helio H Rathjen Tina T Sweetman Dylan D Dalmay Tamas T Münsterberg Andrea A

Journal of cell science 20120517 Pt 15

MicroRNAs are short non-coding RNAs involved in post-transcriptional regulation of multiple messenger RNA targets. The miR-1/miR-206 family is expressed during skeletal muscle differentiation and is an integral component of myogenesis. To better understand miR-1/miR-206 function during myoblast differentiation we identified novel target mRNAs by microarray and characterized their function in C2C12 myoblasts. Candidate targets from the screen were experimentally validated together with target gen ...[more]

PMID: 22595520

Similar Datasets

Novel players in myogenesis identified by target validation for muscle specific microRNAs in C2C12 myoblasts

Project description:Search of novel miR-206 target genes in C2C12 cells, based on differential expression of transcripts containing putative miR-206 binding sites. miR-206 candidate target genes were hpothesized to be upregulated in AM206 vs Day2 sample and downregulated in siRNA vs Day 1 sample.

2012-07-23 | GSE34069 | GEO

miR-206 knockout shows it is critical for myogenesis and directly regulates newly identified target mRNAs

Project description:The goal of this study was to identify miR-206 regulated mRNA targets in differentiating C2C12 cells

2020-03-04 | GSE143029 | GEO

Transcriptional profiling by array of wild-type vs TNIK-/- hippocampi in adult mice

Project description:Hippocampi from adult TNIK-/- and TNIK+/+ mice were dissected out, the mRNA extracted, and hybridized to arrays. The aim was to determine the extent and nature of differential expression in the mutant, particularly those changes which might be indicative of major physiological changes.

2012-10-10 | E-MTAB-1202 | biostudies-arrayexpress

IL-17 downregulates filaggrin and affects epidermal barrier function gene expression; potential role in the pathogenesis of atopic eczema

Project description:Genome-wide analysis of gene expression after stimulation with cytokines to assess the main processes, molecular functions and cellular components affected as well as genes related to skin barrier function. HaCaT cells were exposed to IL-17A (200ng/ml) for 12h. The cells were lysed, total RNA was extracted and microarray study was performed on Illumina HT12 platform.

2012-11-01 | E-GEOD-27533 | biostudies-arrayexpress

ETV4 promotes metastasis in response to combined activation of PI3kinase and RAS signaling in a mouse model of advanced prostate cancer

Project description:Analysis of the transcriptome of mouse models of prostate cancer. NP (Nkx3.1CreERT2/+; Ptenfloxed/floxed) mice develop non-metastatic tumors while NPK (Nkx3.1CreERT2/+; Ptenfloxed/floxed; KrasG12D/+) mice develop metastatic tumors The NPK mice are also analyzed at early and late stages of tumorigenesis (1 vs. 3 months after induction) Total RNA obtained from prostate tumors of different genotypes and at different stages of dissease as indicated

2013-07-23 | E-GEOD-47697 | biostudies-arrayexpress

Cross-species analysis of genome-wide regulatory networks identifies a synergistic dependency between FOXM1 and CENPF that drives prostate cancer malignancy

Project description:Analysis of the transcriptome of mouse models of prostate cancer to assemble a mouse prostate cancer interactome. To assemble the mouse prostate cancer interactome, we collected 13 distinct mice or genetically-engineered mouse models (GEMMs), which together represent the full spectrum of prostate cancer phenotypes including: normal epithelium (i.e., wild-type), low-grade PIN (i.e., Nkx3.1 and APT), high-grade PIN and adenocarcinoma (i.e., APT-P; APC; Myc; NP; Erg-P; and NP53), castration-resistant prostate cancer (i.e., NP-AI), and metastatic prostate cancer (i.e., NPB; NPK; and TRAMP). To further enhance the heterogeneity afforded by this diversity of mouse models, we pharmacologically perturbed each GEMM using 13 different drugs (or appropriate vehicle). The resulting mouse prostate tissue/tumor dataset encompassed 384 expression profiles Total RNA obtained from prostate tumors/tissues of 13 mouse models of prostate cancer treated with 13 different drugs for 5 consecutive days. Prostate tumors/tissues were harvested and processed for RNA isolation and transcriptome analysis.

2014-05-12 | E-GEOD-53202 | biostudies-arrayexpress

Predicting drug response in human prostate cancer from preclinical analysis of in vivo mouse models (I)

Project description:Analysis of the transcriptome of mouse models of prostate cancer after treatment with rapamycin and PD0325901 combination therapy or standard of care docetaxel. The Nkx3.1CreERT2/+; Ptenflox/flox; KrasLSL-G12D/+ (NPK mice) was used in this study. Two months after tumor induction, mice were randomly assigned to vehicle (Veh) or treatments groups, such as rapamycin and PD0325901 (RAPPD) or docetaxel (Docetaxel). For the treatment groups mice were administered rapamycin (10 mg/kg) and PD0325901 (10 mg/kg) or docetaxel (10 mg/kg) for 5 days (SHORT) or for 1 month (LONG). At the end of the treatment, mice were euthanized, tumors harvested and snap frozen for subsequent molecular analysis. Total RNA obtained from prostate tumors/tissues. Prostate tumors/tissues were harvested and processed for RNA isolation and transcriptome analysis using the MagMAX RNA isolation kit (Ambion). Total RNA was amplified and labelled for subsequent microarrays hybridization using the Illumina TotalPrep RNA Amplification Kit.

2015-09-17 | E-GEOD-69211 | biostudies-arrayexpress

Predicting drug response in human prostate cancer from preclinical analysis of in vivo mouse models (II)

Project description:Analysis of the transcriptome of allografted mouse tumors after treatment with rapamycin and PD0325901. Nkx3.1CreERT2/+; Ptenflox/flox; KrasLSL-G12D/+ (NPK mice) were induced and their tumors removed to generate allograft lines by implanting a 1.5 mm3 tumor fragment in the subcutaneous space of athymic nude mice. Allografted NPK tumors were allowed to grow until they reached a volume of 1 cm3, at which moment they were randomly assigned to either vehicle (Veh) or combination therapy using rapamycin and PD0325901 (RAPPD). Allografted mice were administered rapamycin (10 mg/kg) and PD0325901 (10 mg/kg) during five consecutive days (Allo SHORT). Mice were euthanized in the fifth day 6 hours after having received the last treatment and the tumors were harvested and snap frozen for subsequent molecular analysis. Total RNA obtained from prostate tumors/tissues. Prostate tumors/tissues were harvested and processed for RNA isolation and transcriptome analysis using the MagMAX RNA isolation kit (Ambion). Total RNA was amplified and labelled for subsequent microarrays hybridization using the Illumina TotalPrep RNA Amplification Kit.

2015-09-17 | E-GEOD-69213 | biostudies-arrayexpress

Predicting drug response in human prostate cancer from preclinical analysis of in vivo mouse models

Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

2015-09-17 | E-GEOD-69214 | biostudies-arrayexpress

Effects of the JADE-HBO1 complex on gene expression

Project description:We find that 499 genes are up-regulated and 457 are down-regulated in response to over-expression of JADE1, while 397 genes are up-regulated and 385 are down-regulated after HBO1 knock-down. For each condition - HBO1 siRNA treatment or JADE1 over-expression - two biological replicates were analyzed in duplicate.

2012-03-15 | E-GEOD-33220 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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