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

SiRNA profiling of human synovial fibroblasts depleted for clusterin

ABSTRACT: Analysis of synoviocytes cell form patients suffering of Rheumatoid arthritis and depleted for clusterin by siRNA knockdown. Note: this experiment was reloaded into ArrayExpress on 2nd December 2009 because the incorrect array design had originally been selected. The identifiers in the datafile were also fixed to match the array design.

ORGANISM(S): Homo sapiens

SUBMITTER: Geraldine Falgarone

PROVIDER: E-TABM-653 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Foie WTS vs WT

Project description:Transcriptional and polysomal analysis of mice liver hepatocytes after 4-hour refeeding as compared to overnight starved controls.

2013-01-24 | E-MEXP-3522 | biostudies-arrayexpress

Eliane_IL2.Rapa bis

Project description:Administration of low-dose IL-2 prevents and cures type 1 diabetes (T1D) in NOD mice by boosting pancreatic regulatory T cells (Tregs) and is currently being evaluated in humans. Here, to improve treatment efficacy we tested higher IL-2 doses that, despite further boosting Tregs, rapidly precipitated T1D in pre-diabetic mice due to generalized immune activation. Although the combination of rapamycin (RAPA) plus IL-2 prevents NOD T1D development, a recent clinical trial translating this strategy into patients was halted due to C-peptide decline. Here, we show that RAPA/IL-2 combination was also ineffective to cure new onset T1D in mice and, surprisingly, RAPA broke IL-2-induced tolerance in a reversible way. RAPA partially counteracted IL-2 effects on Tregs and the combined treatment unexpectedly, impaired glucose homeostasis at multiple levels, possibly explaining the clinical outcome. Our data help understand IL-2 alone or RAPA/IL-2 combination limitations and could lead to the design of improved T1D therapies.

2013-12-10 | E-MEXP-3789 | biostudies-arrayexpress

Transcription profiling by array of mouse CD4+ GFP+ (tregs) and CD4+ GFP- (Teffs) cells treated with IL-2

Project description:To obtain the molecular signature of the effect that the IL-2 therapeutic dose induces on T cells in vivo, we performed gene array analysis. Since it was critical to perform this analysis on highly purified Tregs and Teffs, and also because activated Teffs can acquire CD25 expression, we used GFP-Foxp3 knock-in mice which allow for the purification of Tregs and Teffs based on the GFP expression. Illumina gene array was carried out on FACS sorted CD4+ GFP+ (Tregs) and CD4+ GFP- (Teffs) of mice that received either PBS or the curative schedule of IL-2, 2 hours after the last injection.

2011-03-21 | E-MEXP-2689 | biostudies-arrayexpress

S6K_RiBi

Project description:Transcriptional analysis of concequent lack of rpS6 kinase activity in mice livers hepatocytes due to deletion of S6 kinases 1 and 2 (S6K1 and S6K2).

2013-01-16 | E-MEXP-3518 | biostudies-arrayexpress

OJeanJean_eRF3a_ATF4

Project description:We previously showed that eRF3a depletion in the human colon carcinoma cell line HCT116 p53+/+ induces mTOR signaling pathway inhibition (Chauvin et al., 2007) suggesting that eRF3a belongs to a regulatory mechanism that modulate mTOR activity. However, this mechanism and the precise role of eRF3a remain to be determined. Here, to elucidate the mechanism dictating mTOR signaling pathway inhibition, we aimed to define the transcript expression and polysome profiles of HCT116 cells after short interfering RNA (siRNA)-mediated depletion of eRF3a. Three days after HCT116 cells electroporation with either sh-3a1 which was previously shown for effectively silence eRF3a (Chauvin et al., 2005) or control shRNA (sh-Ctrl), total and polysome-associated RNAs were extracted and we conducted a microarray analysis of differentially expressed genes using the Illumina HumanHT-12 Expression BeadChips.

2012-08-30 | E-MEXP-3512 | biostudies-arrayexpress

Transcription profiling of hepatocytes from mice that are hyperglycaemic, obese and insulin resistant as a result of being fed a high fat diet - Illumina dataset

Project description:Effect of high fat diet feeding on gene expression

2009-09-15 | E-TABM-548 | biostudies-arrayexpress

Transcription profiling of Ky mouse mutant soleus muscles vs wild type soleus muscles

Project description:A comparison of Ky mouse mutant soleus muscles versus wildtype soleus muscles. Hybridisation of 3 Mouse SGC 7.5k oligo slides, using 3 independent pools of 10 mice (5 male, 5 female)for both WT and mutant animals.

2005-11-10 | E-MEXP-481 | biostudies-arrayexpress

Transcription profiling of 13.5dpc embryonic gonad/mesonephros from male Mrotm1H/Mrotm1H mice vs male wild type littermates

Project description:Direct comparison of gene expression in 13.5dpc embryonic gonad/mesonephros between male Mrotm1H/Mrotm1H mice and male wild-type littermates. Two independent pools of 10 gonads (5 mice) were compared on 4 microarrays (two colourswaps).

2007-01-09 | E-MEXP-527 | biostudies-arrayexpress

Transcription profiling of mouse Ostesy mutant soleus muscles vs wild type soleus muscles.

Project description:A comparison of Ostesy mutant soleus muscles to wildtype soleus muscles. Hybridisation of 3 Mouse SGC 7.5k oligo arrays, using 3 pools of 10 mice(5 male and 5 female) for mutant and WT.

2007-12-10 | E-MEXP-482 | biostudies-arrayexpress

Three non-invasive protein biomarkers for solid-organ transplant rejection found through integrative genomics

Project description:We integrated three transplant rejection microarray studies examining gene expression in samples from pediatric renal, adult renal, and adult heart transplants. We performed one study ourselves and retrieved two others from the NCBI Gene Expression Omnibus (GEO)(GSE4470 and GSE1563). We identified 45 genes that were upregulated in common in acute rejection. Half were involved in one immune-related pathway. Among ten proteins we tested by serum ELISA, three successfully distinguished acute rejection from stable transplants. These were CXCL9, PECAM1, and CD44, with areas under the receiver operating characteristic curves of 0.844, 0.802, and 0.738, respectively. Immunohistochemistry showed that the PECAM1 protein was increased in acute rejection in renal, liver and heart transplants versus normal tissues. Our results show that integrating publicly-available gene expression data sets is a fast, powerful, and cost-effective way to identify serum-detectable diagnostic biomarkers. For new microarray experiments, we collected 18 acute rejection (AR) and 18 stable (STA) biopsy samples from pediatric renal allograft recipients at Stanford University. Written informed consent was obtained from all the subjects. The study was approved by the Stanford University Institutional Review Board. Nucleic acids from the samples were hybridized to Affymetrix U133 Plus 2.0 microarrays. AR samples were obtained at the time of a biopsy-proven acute rejection episode according to the Banff classification (IA, IIA, IIB). Prior to including the samples in this study, the diagnosis of acute rejection was confirmed by a pathologist. STA samples were obtained from patients with stable graft function during regular post-transplantation follow-up protocol biopsies. All three data sets (pediatric renal, adult renal, and adult heart) were normalized by the quantile-quantile method using dChip software. Ten proteins in serum were measured by using commercial ELISA kits.

2010-10-12 | E-GEOD-14328 | 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