Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

40 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

MiRNA microarray of mouse renal tubular cell with or without TGFbeta

ABSTRACT: To find miRNAs that involve in renal epithelial-mesenchyal transition induced by TGFbeta Mouse renal tubular cell, MCT (derived from SJL H-2S mice) was stimulated by TGFbeta 3ng/ml for 72 hours. miRNA expressions were compared with control.

ORGANISM(S): Mus musculus

SUBMITTER: Ryuji Morizane

PROVIDER: E-GEOD-42718 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

miR-34c attenuates epithelial-mesenchymal transition and renal fibrosis of kidneys with ureteral obstruction.

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

2012-12-05 | E-GEOD-42719 | biostudies-arrayexpress

The NIH Human Pluripotent Stem Cell Database (Agilent, miRNA)

Project description:MicroRNA profiling was performed on RNA samples matched to those included in the NIH Human Pluripotent Stem Cell Database (Series GSE32923). Twenty undifferentiated human embryonic stem cell lines and 4 human tissues were analyzed. Expanded descriptions of methods used are available at: http://stemcelldb.nih.gov. 49 samples: 38 human ESC (UNDIFFerentiated), 1 human Brain, 1 human Heart, 1 human Liver, 1 human Ovary and 7 processing controls (UniRef).

2012-10-31 | E-GEOD-34199 | biostudies-arrayexpress

miRNA microarray of mice with unilateral ureteral obstruction

Project description:To find miRNAs that involve in renal epithelial transition and renal fibrosis, we performed unilateral ureteral obstruction of mice for 7 days. After that, we harvested kidneys, and performed microarray of miRNA. Contralateral kidneys without ureteral obstruction were used as controls. miRNAs were purified from kidneys with ureteral obstruction and contralateral kidneys without ureteral obstruction. Then microarray of miRNA was performed (n=4). miRNAs up-regulated in kidneys with ureteral obsctruction compared with contralateral kidneys were sorted. We performed unilateral ureteral obstruction of mice for 7 days, and harvested kidneys.

2012-12-05 | E-GEOD-42716 | biostudies-arrayexpress

Mouse ES cell differentiated with Activin

Project description:To find miRNAs that involve in renal epithelial differentiation. Mouse ES cells, EB3 (129/Ola) were differentiated with Activin 10 ng/ml after 3 days of embryoid body formation. Cells were harvested on day 18 of the differentiation.

2012-12-05 | E-GEOD-42717 | biostudies-arrayexpress

Transcription profiling by array of mouse Col8a1-Col8a2 deficient and wild type mesangial cells stimulated with TGF-beta1

Project description:Col8a1/Col8a2-deficient mesangial cells and wildtype cells are treated with TGFbeta-1 for 24h. This experiment was replicated once.

2011-01-01 | E-MEXP-2658 | biostudies-arrayexpress

The NIH Human Pluripotent Stem Cell Database

Project description:This SuperSeries is composed of the following subset Series: GSE32923: The NIH Human Pluripotent Stem Cell Database (Agilent, mRNA) GSE33789: The NIH Human Pluripotent Stem Cell Database (Affymetrix, mRNA) GSE34199: The NIH Human Pluripotent Stem Cell Database (Agilent, miRNA) GSE34869: The NIH Human Pluripotent Stem Cell Database (Illumina, methylation) GSE35157: The NIH Human Pluripotent Stem Cell Database (Illumina, snp) GSE35735: The NIH Human Pluripotent Stem Cell Database (Agilent, cgh) Refer to individual Series

2012-10-31 | E-GEOD-34200 | biostudies-arrayexpress

Effect of TGFbeta-2 on pig gut epithelial cells

Project description:Proteome and biochemical data were used to describe the anti-inflammatory effect of TGFbeta 2 on pig gut epithelial cells.

2016-08-10 | PXD001465 | Pride

Comparative miRNA Expression Profiles in Individuals with Latent and Active Tuberculosis

Project description:To study the role of miRNAs in the transition from latent to active TB and to discover candidate biomarkers that may help predict TB progression, we have employed miRNA microarray expression profiling as a discovery platform to probe the transcriptome of peripheral blood mononuclear cells (PBMCs) with active TB, latent TB infection (LTBI), and healthy donors.Patients were recruited at the Shanghai Public Health Clinical Centre (Shanghai, China) from December, 2008 to May, 2009. The diagnosis of active TB was based on clinical presentation, chest radiography, and acid-fast stain of sputum smear.All the patients were HIV negative, as diagnosed by the Livzon Anti-HIV1/2 EIA Kit (Livzon Pharmaceutical Group Inc., Guangdong, China). Additional tests were also performed to detect hepatitis B virus (HBV) and hepatitis C virus (HCV) by using the Abbott AxSYM anti-HBsAg and HCV 3.0 antibody assay kit (Abbott Laboratories, Illinois) to exclude HBV- and HCV-positive patients (these 2 diseases are highly prevalent in China). Patients with a diabetes history were also excluded because diabetes could increase the risk of TB. Peripheral venous blood was drawn before treatment. Subjects with LTBI and healthy donors both without a history of clinical TB or other infectious diseases were recruited from the staff at the Shanghai Public Health Clinical Centre. TST and IGRA (T-SPOTM-BM-..TB, Oxford Immunuotec, Oxfordshire, U.K) results were used to distinguish the two groups. The LTBI group was TST-positive (TST>10 mm) and IGRA-positive while the healthy donors were TST-negative (TST<5 mm) and IGRA-negative. RNA of PBMC from 6 patients with active TB, 6 donors with Latent TB, and 3 healthy controls (total of 15 biologically independent samples) were used to perform Agilent Human miRNA (version 3) microarray , No replicates were included

2011-05-10 | E-GEOD-29190 | biostudies-arrayexpress

Genome wide mapping of long noncoding (lnc) RNAs in hepatic stellate cells

Project description:Hepatic stellate cells are the primary cell type responsible for development of fibrosis in chronic liver disease. We used directional RNA sequencing (RNA-seq) and chromatin immunoprecipitation and sequencing (ChIP-seq) to identify the lncRNAs expressed in human HSCs. We also identified the lncRNAs that change in expression with differentiation of nonfibrotic quiescent HSCs into fibrotic HSC myofibroblasts and those that are regulated by TGF-beta signaling. ChIP-seq was also performed to identify DNA regions occupied by H3K27ac to define super-enhancers in HSC myofibroblasts. This study identified lncRNAs expressed HSCs that may regulate fibrosis. Analysis of genome-wide lncRNA expression using RNA-seq and ChiP-seq in human HSCs under four different conditions

2016-03-23 | E-GEOD-68108 | biostudies-arrayexpress

mRNA differential expression analysis in a human ex vivo model of chronic wounds

Project description:To study the fibroblast to myofibroblast differentiation in a normal or pathological situation, NHDF (Normal human dermal fibroblast) obtained from two different healthy donors (donors A and B) were either left untreated (T-E-) either treated with TGF-beta alone (T+E-), or with exudate from chronic wounds (T-E+) or both (T+E+). For each different treatment we performed mRNA deep sequencing 3 times : twice with cells from donor A and once with cells from donor B.We focused our study on gene expression profile as a representation of cell fate. We performed mRNA deep sequencing analysis of the 4 different conditions. For each condition, mRNA deep sequencing was performed 3 times : twice with cells from donor A and once with cells from donor B.Comparing the mRNA abundance between the different treatments, we identified 3 lists of genes characterizing the different gene expression states: 171 genes in List I representing the genes differentially expressed during normal fibroblast to myofibroblast differentiation, 409 genes in List II representing the genes differentially expressed upon exudate-only treatment and 1006 genes in List III representing the genes differentially expressed upon the combination of exudate and TGF-beta treatments. 4 different treatments are compared : (T-E-) NHFD left untreated, (T+E-) NHDF treated with TGFbeta for 4 days, (T-E+) NHDF treated with exudate for 4 days and (T+E+) NHDF treated with both TGFbeta and exudate. NHDF : Normal Human Dermal Fibroblast

2015-12-16 | E-GEOD-49159 | biostudies-arrayexpress

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