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Mus musculus
8 Downloadable Samples
Illumina HiSeq 2000
Description
The ZFP36L3 protein is a rodent-specific, placenta- and yolk sac-specific member of the tristetraprolin (TTP) family of CCCH tandem zinc finger proteins. These proteins bind to AU-rich elements in target mRNAs, and promote their deadenylation and decay. Mice deficient in ZFP36L3 exhibited decreased neonatal survival rates, but no apparent morphological changes in the placenta or surviving offspring. Zfp36l3 is paternally imprinted, with profound parent-of-origin effects on gene expression. RNASeq of KO placental mRNA revealed many significantly affected transcripts, some of which exhibited decreased decay rates in differentiated trophoblast stem cells derived from KO blastocysts. The type 1 transferrin receptor mRNA was unexpectedly decreased in KO placentas, despite an increase in its stability. This receptor is critical for placental iron uptake from the maternal circulation, and its decrease was accompanied by decreased iron stores in the KO fetus, suggesting that this intrauterine deficiency might have deleterious consequences in later life. Overall design: Examination of gene expression differences in yolk sac tissue between wild-type and knockout mice groups with 4 biological replicates in each group
Publication Title
Deficiency of the placenta- and yolk sac-specific tristetraprolin family member ZFP36L3 identifies likely mRNA targets and an unexpected link to placental iron metabolism.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 6 Downloadable Samples
Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)
Description
Mouse keratinocytes were isolated from K15-EGFP transgenic mice for FACS sorting. RNA samples from EGFP-high and alpha-6 integrin positive cells (hair follicle stem cells) and from EGFP negative and alpha-6 integrin positive cells were used for Microarray analysis.
Publication Title
Capturing and profiling adult hair follicle stem cells.
Sample Metadata Fields
No sample metadata fields
View Samples
GSE4737- Homo sapiens
- 2 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Summary:
Publication Title
HCaRG increases renal cell migration by a TGF-alpha autocrine loop mechanism.
Sample Metadata Fields
No sample metadata fields
View Samples GSE2555- Homo sapiens
- 4 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Affymetrix Human Genome U133A Array (hgu133a)
Description
HEK293 cells were transfected with control plasmid (pcDNAI/Neo;Invitrogen) or with the plasmid encoding HCaRG. Stable transfectants were synchronized and grown in the presence of 10% FBS for 48 h. Total RNAs were purified with the mini RNeasy kit (Qiagen).
Publication Title
HCaRG increases renal cell migration by a TGF-alpha autocrine loop mechanism.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Expression 430A Array (moe430a)
Description
The SCL and LMO1 oncogenic transcription factors reprogram thymocytes into self-renewing pre-leukemic stem cells (pre-LSCs). Here we report that SCL directly interacts with LMO1 to activate the transcription of a self-renewal program coordinated by LYL1.
Publication Title
SCL, LMO1 and Notch1 reprogram thymocytes into self-renewing cells.
Sample Metadata Fields
Age, Specimen part
View Samples- Mus musculus
- 9 Downloadable Samples
- Illumina HiSeq 2000
Description
Background Alternative splicing (AS) is a central mechanism of genetic regulation which modifies the sequence of RNA transcripts in higher eukaryotes. AS has been shown to increase both the variability and diversity of the cellular proteome by changing the composition of resulting proteins through differential choice of exons to be included in mature mRNAs. Results In the present study, alterations to the global RNA splicing landscape of cellular genes upon viral infection were investigated through high-throughput RNA sequencing (RNA-seq) studies using mammalian reovirus as a model. Our study provides the first comprehensive portrait of global changes in the RNA splicing signatures that occur in eukaryotic cells following infection with a human virus. We identify modifications in the AS patterns of 240 cellular transcripts frequently involved in the regulation of gene expression and RNA metabolism. A significant number of the modified transcripts are also encoded by genes with important roles in viral infection/immunity. These modifications are expected to alter the functions of many cellular proteins. Finally, we used RT-PCR analysis in order to experimentally validate differential modifications in alternative splicing patterns that were observed through RNA-seq studies. Conclusion The present study demonstrated that viral infection can extensively modify the splicing patterns of numerous cellular transcripts. These findings provide additional insights into the complexity of virus-host interactions as these splice variants expand proteome diversity and function during viral infection. Finally, these data open new avenues of research for a better understanding of post-transcriptional events during virus infection and possible new targets toward the development of antiviral agents. Overall design: mRNAs were isolated from L929 mouse cell line, 14 hours after infection with T3D-S Reovirus or T3D-S Mutant reovirus at a MOI of 50. Control cells were uninfected. The resulting libraries were multiplexed and paired-end sequenced using Illumina HiSeq. Gene expression and alternative splicing were caracterized using Bowtie and RSEM.
Publication Title
Global Profiling of the Cellular Alternative RNA Splicing Landscape during Virus-Host Interactions.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Mus musculus
- 9 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Steroid hormones regulate essential physiological processes and inadequate levels are associated with various pathological conditions. In testosterone-producing Leydig cells, steroidogenesis is strongly stimulated by LH via its receptor leading to increased cAMP production and expression of the steroidogenic acute regulatory (STAR) protein, which is essential for the initiation of steroidogenesis. Leydig cell steroidogenesis then passively decreases following the rapid degradation of cAMP into AMP by phosphodiesterases. In this study, we show that AMP-activated protein kinase (AMPK) is activated following cAMP breakdown in MA-10 and MLTC-1 Leydig cells. Activated AMPK then actively inhibits cAMP-induced steroidogenesis by repressing the expression of key regulators of steroidogenesis including Star and Nr4a1. Similar results were obtained in Y-1 adrenal cells and in the constitutive steroidogenic cell line R2C. Our data identify AMPK as an active repressor of steroid hormone biosynthesis in steroidogenic cells that is essential to preserve cellular energy and prevent excess steroid production.
Publication Title
A cell-autonomous molecular cascade initiated by AMP-activated protein kinase represses steroidogenesis.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Testosterone production by Leydig cells is a tightly regulated process requiring synchronized expression of several steroidogenic genes by numerous transcription factors. Myocyte enhancer factor 2 (MEF2) is a transcription factor recently identified in somatic cells of the male gonad. In other tissues, MEF2 is an essential regulator of organogenesis and cell differentiation. So far in the testis, MEF2 was found to regulate Leydig cell steroidogenesis by controlling Nr4a1 and Star gene expression. To expand our understanding of the role of MEF2 in Leydig cells, we performed microarray analyses of MA-10 Leydig cells depleted in MEF2 and results were analyzed using the Partek and IPA softwares. Several genes were differentially expressed in MEF2-depleted Leydig cells and 15 were validated by qPCR. A large number of these genes are known to be involved in fertility, gonad morphology and steroidogenesis and include Pde8a, Por, Ahr, Bmal1, Cyp1a1, Cyp1b1, Map2k1, Tsc22d3, Nr0b2, Smad4, and Star, which were all downregulated in the absence of MEF2. In silico analyses revealed the presence of MEF2 binding sites within the first 2 kb upstream the transcription start site of the Por, Bmal1, and Nr0b2 promoters, which suggests a direct regulation by MEF2. Using transient transfections in MA-10 Leydig cells, siRNA knockdown, and a MEF2-Engrailed dominant negative, we found that MEF2 activates the Por, Bmal1 and Nr0b2 promoters and that this requires an intact MEF2 element. Our results identify novel target genes for MEF2 and define MEF2 as an important regulator of Leydig cell function and male reproduction.
Publication Title
Novel Targets for the Transcription Factors MEF2 in MA-10 Leydig Cells.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Homo sapiens
- 48 Downloadable Samples
- Illumina HumanHT-12 V4.0 expression beadchip
Description
The objective is to quantify the contribution of genetic and common environmental effects in the familial resemblances of whole blood genome-wide gene expression levels. We also make comparisons with familial resemblances in blood leukocytes genome-wide DNA methylation levels in the same cohort in order to further investigate biological mechanims.
Publication Title
Familial resemblances in human whole blood transcriptome.
Sample Metadata Fields
Sex, Specimen part
View Samples- Mus musculus
- 24 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Dietary lipids and gut microbiota may both influence adipose tissue physiology. By feeding conventional and germ-free mice high fat diets with different lipid compositon we aimed to investigate how dietary lipids and the gut microbiota interact to influence inflammation and metabolism in epididymal adipiose tissue (EWAT)
Publication Title
Crosstalk between Gut Microbiota and Dietary Lipids Aggravates WAT Inflammation through TLR Signaling.
Sample Metadata Fields
Sex, Age, Specimen part
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