Lgr6-positive cells have been shown to label stem/progenitors cells in several tissues including tongue and skin. However their role in mammary gland has never been investigated. Here we used Lgr6-eGFP-IRES-CreER2 mice to isolate and characterize Lgr6-positive population in mammary gland of 5-week old female mice. Overall design: Examination of transcriptional differences between Lgr6 positive and negative cells
Lgr6 labels a rare population of mammary gland progenitor cells that are able to originate luminal mammary tumours.
Sex, Specimen part, Subject
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Hippo/Mst signaling coordinates cellular quiescence with terminal maturation in iNKT cell development and fate decisions.
Specimen part, Disease
View SamplesWe have performed modular analyses to decipher the global transcriptional response and capture a breadth of distinct immune responses in the lungs and blood of mice infected or challenged with a broad spectrum of infectious pathogens, including parasites (Toxoplasma gondii), bacteria (Burkholderia pseudomallei), viruses (Influenza A virus and Respiratory Syncytial virus (RSV)) and fungi (Candida albicans), or allergens (House dust mite (HDM), systemic and intra-nasal challenge). In a distinct set of infectious diseases, we tested the blood modular transcriptional signatures in mice infected with Plasmodium chabaudi chabaudi (malaria), murine cytomegalovirus (MCMV), Listeria monocytogenes and chronic Burkholderia pseudomallei. We also investigated the transcriptional profiles of sorted CD4 T cells (total CD4+, CD4+ CD44 high and CD4+ CD44 low) from lung and blood samples from mice challenged with HDM allergen. Moreover, we used mice deficient in either Ifnar or Ifngr, or both, to reveal the individual roles of each pathway in controlling disease in mice infected with Toxoplasma gondii. Overall design: RNA-seq analysis of blood samples obtained from mice infected with Plasmodium chabaudi chabaudi, murine cytomegalovirus (MCMV), Listeria monocytogenes and chronic Burkholderia pseudomallei.
Transcriptional profiling unveils type I and II interferon networks in blood and tissues across diseases.
Specimen part, Subject
View SamplesWe have performed modular analyses to decipher the global transcriptional response and capture a breadth of distinct immune responses in the lungs and blood of mice infected or challenged with a broad spectrum of infectious pathogens, including parasites (Toxoplasma gondii), bacteria (Burkholderia pseudomallei), viruses (Influenza A virus and Respiratory Syncytial virus (RSV)) and fungi (Candida albicans), or allergens (House dust mite (HDM), systemic and intra-nasal challenge). In a distinct set of infectious diseases, we tested the blood modular transcriptional signatures in mice infected with Plasmodium chabaudi chabaudi (malaria), murine cytomegalovirus (MCMV), Listeria monocytogenes and chronic Burkholderia pseudomallei. We also investigated the transcriptional profiles of sorted CD4 T cells (total CD4+, CD4+ CD44 high and CD4+ CD44 low) from lung and blood samples from mice challenged with HDM allergen. Moreover, we used mice deficient in either Ifnar or Ifngr, or both, to reveal the individual roles of each pathway in controlling disease in mice infected with Toxoplasma gondii. Overall design: RNA-seq analysis of sorted CD4 T cells (total CD4+, CD4+CD44high and CD4+CD44low) from lung and blood samples obtained from mice challenged systemically with House dust mite (HDM) allergy.
Transcriptional profiling unveils type I and II interferon networks in blood and tissues across diseases.
Specimen part, Subject
View SamplesObjective Telmisartan, an angiotensin II type 1 (AT1) receptor blocker, and amlodipine, a calcium channel blocker, are antihypertensive agents clinically used as monotherapy or in combination. They exert beneficial cardiovascular effects independently of blood pressure lowering and classic mechanisms of action. In this study, we investigate molecular mechanisms responsible for the off-target effects of telmisartan and telmisartan-amlodipine in endothelial cells (EC), using an unbiased approach.
Telmisartan exerts pleiotropic effects in endothelial cells and promotes endothelial cell quiescence and survival.
Specimen part, Disease, Treatment
View SamplesOrganelles such as endoplasmic reticulum (ER) and mitochondria interact with each other at specialized domains on the ER known as mitochondria-associated membranes (MAMs). Here, using three-dimensional high-resolution imaging techniques, we show that the Sel1LHrd1 protein complex, the most conserved branch of ER-associated protein degradation (ERAD), exerts a profound impact on ER-mitochondria contacts and mitochondrial dynamics, at least in part, by regulating the turnover and hence the abundance of the MAM protein sigma receptor 1 (SigmaR1). Sel1L or Hrd1 deficiency in brown adipocytes impairs dynamic interaction between ER and mitochondria, leading to the formation of pleomorphic “megamitochondria” and, in some cases with penetrating ER tubule(s), in response to acute cold challenge. Mice with ERAD deficiency are cold sensitive and exhibit mitochondrial dysfunction in brown adipocytes. Mechanistically, endogenous SigmaR1 is targeted for proteasomal degradation by Sel1L-Hrd1 ERAD, whose accumulation in ERAD-deficient cells leads to mitofusin 2 (Mfn2) oligomerization, thereby linking ERAD to mitochondrial dynamics. Our study identifies Sel1L-Hrd1 ERAD as a critical determinant of ER-mitochondria contacts, thereby regulating mitochondrial dynamics and thermogenesis.
Endoplasmic reticulum-associated degradation regulates mitochondrial dynamics in brown adipocytes.
No sample metadata fields
View SamplesmiR-29 can target many gene transcripts encoding extracellular matrix proteins. To unravel novel targets, we used microarray analysis to detect global gene expression changes when inhibiting endogenous miR-29.
Ten-eleven translocation (Tet) and thymine DNA glycosylase (TDG), components of the demethylation pathway, are direct targets of miRNA-29a.
Specimen part, Treatment
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Deconvolution of blood microarray data identifies cellular activation patterns in systemic lupus erythematosus.
Specimen part, Disease
View SamplesMicroarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. It has been applied to yeast and other systems but not to blood samples.
Deconvolution of blood microarray data identifies cellular activation patterns in systemic lupus erythematosus.
Specimen part, Disease
View SamplesMicroarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. Its ability to discriminate related human cells is unknown.
Deconvolution of blood microarray data identifies cellular activation patterns in systemic lupus erythematosus.
No sample metadata fields
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