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SRP109298
Mus musculus
6 Downloadable Samples
Illumina HiSeq 2000
Description
The Mediator complex regulates gene transcription by linking basal transcriptional machinery with DNA-bound transcription factors. The activity of the Mediator complex is mainly controlled by a kinase submodule that is comprised of four proteins, including MED12. Although ubiquitously expressed, Mediator subunits can differentially regulate gene expression in a tissue-specific manner. Here, we report that MED12 is required for normal cardiac function such that mice with conditional cardiac-specific deletion of MED12 display progressive dilated cardiomyopathy. Loss of MED12 perturbs expression of calcium handling genes in the heart, consequently altering calcium cycling in cardiomyocytes and disrupting cardiac electrical activity. We identified transcription factors that regulate expression of calcium-handling genes that are downregulated in the heart in the absence of MED12, and found that MED12 localizes to transcription factor consensus sequences within calcium handling genes. We showed that MED12 interacts with one such transcription factor, MEF2, in cardiomyocytes, and that MED12 and MEF2 co-occupy promoters of calcium handling genes. Furthermore, we demonstrated that MED12 enhances MEF2 transcriptional activity and overexpression of both increases expression of calcium handling genes in cardiomyocytes. Our data support a role for MED12 as a coordinator of transcription through MEF2 and other transcription factors. We conclude that MED12 is a regulator of a network of calcium handling genes, consequently “mediating” contractility in the mammalian heart. Overall design: Ventricle mRNA profiles of 1-day old control (CTL, CreNEG) and cardiac-specific Med12 knockout mice (Med12cKO, CrePOS) were generated by deep sequencing, in triplicate, using Illumina.
Publication Title
MED12 regulates a transcriptional network of calcium-handling genes in the heart.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 38 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Iisomer-specific effects of conjugated linoleic (CLA) supplementation on gene expression with particular consideration of the PPAR 2 Pro12Ala SNP in human adipose tissue.
Publication Title
Isomer-specific effects of CLA on gene expression in human adipose tissue depending on PPARgamma2 P12A polymorphism: a double blind, randomized, controlled cross-over study.
Sample Metadata Fields
Subject
View Samples- Mus musculus, Homo sapiens
- 6 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
MED12 Regulates HSC-Specific Enhancers Independently of Mediator Kinase Activity to Control Hematopoiesis.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Hematopoietic stem cells and progenitors from controls and Med12Flox; mxCre mice treated with pI:pC 4 days afters injection were sorted and Micrroarray Affymetrix mouse 430.2 platform.
Publication Title
MED12 Regulates HSC-Specific Enhancers Independently of Mediator Kinase Activity to Control Hematopoiesis.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 40 Downloadable Samples
- IlluminaGenomeAnalyzerIIx
Description
Purpose: Foxp2 is the first and for now the only gene connected to speech and language in humans. Two aminoacid substitutions took place in this protein during recent human evolution, after our split from the last common ancestor with chimpanzees, and are most likely to have undergone positive selection in human lineage (Enard et al., 2002). Methods: Transgenic mice in which the wild-type (murine) version of Foxp2 was replaced with the one bearing two human-specific amino acid substitutions (i.e. "humanized" Foxp2) - Foxp2hum/hum, have been compared to their wild-type (WT) counterparts in terms of behavior, electrophysiology and striatal gene expression. The latter was analyzed through RNA-sequencing performed on pooled indexed libraries on three flow cells on Illumina GAIIx. The reads were mapped to mouse genome (mm9) by TopHat 1.4.1 and were counted using Bedtools. mRNA profiles were obtained with more than 20 million reads for every sample. Differential gene expression was analyzed with DESeq using multifactor model (Anders and Huber, 2010). Results: Wild-type and Foxp2hum/hum mice did not show any significant differences in expression at individual gene level, neither in dorsomedial nor in dorsolateral striatum. However, when genes were grouped into functional categories and analyzed accordingly, this revealed a significant downregulation of functional categories related to synaptic signalling and plasticity in dorsomedial striatum of Foxp2hum/hum mice. Overall design: RNA-sequencing was performed on dorsomedial and dorsolateral striatum of wild-type and Foxp2hum/hum mice, on three flow cells Illumina GAIIx. The libraries from each sample were indexed and pooled together.
Publication Title
Humanized Foxp2 accelerates learning by enhancing transitions from declarative to procedural performance.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 10 Downloadable Samples
- IlluminaHiSeq2000
Description
Tumor progression is associated with an immunosuppressive microenvironment that consists of several elements, such as regulatory T cells, type 2 macrophages and myeloid-derived suppressor cells. Here, we identify for the first time a BDCA1+CD14+ population of immunosuppressive cells that resides both in the blood and tumor of melanoma patients. We demonstrated that the presence of these cells in dendritic cell (DC)-based anti-tumor vaccines significantly suppresses CD4+ T cells in an antigen-specific manner. In an attempt to reveal the mechanism of this suppressive activity, we noticed that BDCA1+CD14+ cells express elevated levels of the check-point molecule PD-L1, which thereby hinders T cell proliferation. Importantly, although this suppressive BDCA1+CD14+ population expresses markers of both BDCA1+ DCs and monocytes, functional, transcriptome and proteome analyses clearly revealed that they comprise a unique population of cells that is exploited by tumors to evade immunity. Thus, targeting these cells may improve the efficacy of cancer immunotherapy. Overall design: mRNA profiles of BDCA1+ DCs, BDCA1+CD14+ cells and monocytes, isolated from 3 healthy volunteers, were generated by deep RNA sequencing using HiSeq 2000 System (TruSeq SBS KIT-HS V3,Illumina)
Publication Title
Expansion of a BDCA1+CD14+ Myeloid Cell Population in Melanoma Patients May Attenuate the Efficacy of Dendritic Cell Vaccines.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 9 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
The experiment aims to identify mRNAs regulated in response to RelA
Publication Title
Role of CCL20 mediated immune cell recruitment in NF-κB mediated TRAIL resistance of pancreatic cancer.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Sus scrofa
- 6 Downloadable Samples
- Affymetrix Porcine Genome Array (porcine)
Description
We used microarrays to detail the global gene expression changes following apical infection of porcine choroid plexus epithelial cells (PCPEC) with Streptococcus suis (S. suis)
Publication Title
In vitro transcriptome analysis of porcine choroid plexus epithelial cells in response to Streptococcus suis: release of pro-inflammatory cytokines and chemokines.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 15 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
To identify genes that are regulated from the lncRNA ANRIL (EXON 13), we designed inducible short hairpin RNA constructs and stable integrated them into HEK cells
Publication Title
The large non-coding RNA ANRIL, which is associated with atherosclerosis, periodontitis and several forms of cancer, regulates ADIPOR1, VAMP3 and C11ORF10.
Sample Metadata Fields
Disease
View Samples- Homo sapiens
- 3 Downloadable Samples
- Illumina HiSeq 1000
Description
Major- and minor-group rhinoviruses enter their host by binding to the cell surface molecules ICAM-1 and LDL-R, respectively, which are present on both macrophages and epithelial cells. Although epithelial cells are the primary site of productive HRV infection, previous studies have implicated macrophages in establishing the cytokine dysregulation that occurs during rhinovirus-induced asthma exacerbations. Even though major- and minor-group rhinoviruses are nearly genetically identical, these viruses do not replicate with equal success in monocyte-lineage cell lines. In human primary macrophages, differential mitochondrial activity and signaling pathway activation was observed between major- and minor-group rhinovirus upon initial HRV binding, indicating discordant receptor-dependent response to these rhinovirus types. As well, variances in phosphorylation of kinases (p38, JNK, ERK5) and transcription factors (ATF-2, CREB, CEBP-alpha) were observed between the major- and minor- group HRV treatments. The difference between major- and minor- group HRV activation of signaling pathways was confirmed through RNA-sequencing and observation of differential production of the asthma-relevant cytokines CCL20, CCL2, and IL-10. This is the first report of genetically similar viruses eliciting dissimilar cytokine release, transcription factor phosphorylation, and MAPK activation from macrophages. These results suggest that receptor dependence plays a role in establishing the inflammatory microenvironment initiated in part by monocytic-lineage cells in the human airway upon exposure to rhinovirus. Overall design: RNA sequencing of monocyte-derived macrophages after mock infection or infection by HRV16 or HRV1A
Publication Title
Major and minor group rhinoviruses elicit differential signaling and cytokine responses as a function of receptor-mediated signal transduction.
Sample Metadata Fields
No sample metadata fields
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