Mus musculus
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA231156 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Genome-wide analysis of gene expression within vitiligo lesional skin with active inflammation
| PRJNA231158 | ENA
Project description:PURPOSE: To provide a detailed gene expression profile of the normal postnatal mouse cornea. METHODS: Serial analysis of gene expression (SAGE) was performed on postnatal day (PN)9 and adult mouse (6 week) total corneas. The expression of selected genes was analyzed by in situ hybridization. RESULTS: A total of 64,272 PN9 and 62,206 adult tags were sequenced. Mouse corneal transcriptomes are composed of at least 19,544 and 18,509 unique mRNAs, respectively. One third of the unique tags were expressed at both stages, whereas a third was identified exclusively in PN9 or adult corneas. Three hundred thirty-four PN9 and 339 adult tags were enriched more than fivefold over other published nonocular libraries. Abundant transcripts were associated with metabolic functions, redox activities, and barrier integrity. Three members of the Ly-6/uPAR family whose functions are unknown in the cornea constitute more than 1% of the total mRNA. Aquaporin 5, epithelial membrane protein and glutathione-S-transferase (GST) omega-1, and GST alpha-4 mRNAs were preferentially expressed in distinct corneal epithelial layers, providing new markers for stratification. More than 200 tags were differentially expressed, of which 25 mediate transcription. CONCLUSIONS: In addition to providing a detailed profile of expressed genes in the PN9 and mature mouse cornea, the present SAGE data demonstrate dynamic changes in gene expression after eye opening and provide new probes for exploring corneal epithelial cell stratification, development, and function and for exploring the intricate relationship between programmed and environmentally induced gene expression in the cornea. Keywords: other
2004-01-02 | GSE887 | GEO
Project description:Skin samples from mice in a model of vitiligo were selected for gene expression profiling in order to identify active inflammatory pathways. Total RNA isolated from 6 mouse samples from fresh skin, 3 from vitiligo mice and 3 from control mice.
2013-12-12 | E-GEOD-53147 | biostudies-arrayexpress
Project description:Background: Comparison of temporal gene expression profiles. The RNA-seq data comprises 3 age groups: 2, 15 and 30 months for mouse skin; 5, 24 and 42 months for zebrafish skin. Illumina 50bp single-stranded single-read RNA sequencing Jena Centre for Systems Biology of Ageing - JenAge (www.jenage.de)
2015-12-01 | GSE46916 | GEO
Project description:Sigurdsson2010 - Genome-scale metabolic model
of Mus Musculus (iMM1415)
This model is described in the article:
A detailed genome-wide
reconstruction of mouse metabolism based on human Recon 1.
Sigurdsson MI, Jamshidi N,
Steingrimsson E, Thiele I, Palsson BØ.
BMC Syst Biol 2010; 4: 140
Abstract:
BACKGROUND: Well-curated and validated network
reconstructions are extremely valuable tools in systems
biology. Detailed metabolic reconstructions of mammals have
recently emerged, including human reconstructions. They raise
the question if the various successful applications of
microbial reconstructions can be replicated in complex
organisms. RESULTS: We mapped the published, detailed
reconstruction of human metabolism (Recon 1) to other mammals.
By searching for genes homologous to Recon 1 genes within
mammalian genomes, we were able to create draft metabolic
reconstructions of five mammals, including the mouse. Each
draft reconstruction was created in compartmentalized and
non-compartmentalized version via two different approaches.
Using gap-filling algorithms, we were able to produce all
cellular components with three out of four versions of the
mouse metabolic reconstruction. We finalized a functional model
by iterative testing until it passed a predefined set of 260
validation tests. The reconstruction is the largest, most
comprehensive mouse reconstruction to-date, accounting for
1,415 genes coding for 2,212 gene-associated reactions and
1,514 non-gene-associated reactions.We tested the mouse model
for phenotype prediction capabilities. The majority of
predicted essential genes were also essential in vivo. However,
our non-tissue specific model was unable to predict gene
essentiality for many of the metabolic genes shown to be
essential in vivo. Our knockout simulation of the lipoprotein
lipase gene correlated well with experimental results,
suggesting that softer phenotypes can also be simulated.
CONCLUSIONS: We have created a high-quality mouse genome-scale
metabolic reconstruction, iMM1415 (Mus Musculus, 1415 genes).
We demonstrate that the mouse model can be used to perform
phenotype simulations, similar to models of microbe metabolism.
Since the mouse is an important experimental organism, this
model should become an essential tool for studying metabolic
phenotypes in mice, including outcomes from drug screening.
This model is hosted on
BioModels Database
and identified by:
MODEL1507180055.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2015-07-30 | MODEL1507180055 | BioModels
Project description:Vitiligo skin samples with an active inflammatory infiltrate were selected for gene expression profiling in order to identify inflammatory pathways that drive depigmentation in vitiligo. Total RNA was isolated from 10 deidentified human samples from formalin fixed, paraffin-embedded skin, 5 from vitiligo patients and 5 from controls. Control skin was age- and site-matched excision tips without pathology.
2013-12-12 | E-GEOD-53146 | biostudies-arrayexpress
Project description: Not available
| S-EPMC8784167 | biostudies-literature
Project description:To characterize the genetic basis of hybrid male sterility in detail, we used a systems genetics approach, integrating mapping of gene expression traits with sterility phenotypes and QTL. We measured genome-wide testis expression in 305 male F2s from a cross between wild-derived inbred strains of M. musculus musculus and M. m. domesticus. We identified several thousand cis- and trans-acting QTL contributing to expression variation (eQTL). Many trans eQTL cluster into eleven ‘hotspots,’ seven of which co-localize with QTL for sterility phenotypes identified in the cross. The number and clustering of trans eQTL - but not cis eQTL - were substantially lower when mapping was restricted to a ‘fertile’ subset of mice, providing evidence that trans eQTL hotspots are related to sterility. Functional annotation of transcripts with eQTL provides insights into the biological processes disrupted by sterility loci and guides prioritization of candidate genes. Using a conditional mapping approach, we identified eQTL dependent on interactions between loci, revealing a complex system of epistasis. Our results illuminate established patterns, including the role of the X chromosome in hybrid sterility.
2014-05-01 | GSE54089 | GEO
Project description:Comparison of gene expression profiles from Mus musculus skin of two age groups. The RNA-seq data comprise 2 groups at ages: 2 and 9 months. Jena Centre for Systems Biology of Ageing - JenAge (www.jenage.de)
2021-10-19 | GSE120570 | GEO
Project description:Sex differences in liver gene expression are dictated by sex-differences in circulating growth hormone (GH) profiles. Presently, the pituitary hormone dependence of mouse liver gene expression was investigated on a global scale to discover sex-specific early GH response genes that might contribute to sex-specific regulation of downstream GH targets and to ascertain whether intrinsic sex-differences characterize hepatic responses to plasma GH stimulation. RNA expression analysis using 41,000-feature microarrays revealed two distinct classes of sex-specific mouse liver genes: genes subject to positive regulation (class-I) and genes subject to negative regulation by pituitary hormones (class-II). Genes activated or repressed in hypophysectomized (Hypox) mouse liver within 30-90min of GH pulse treatment at a physiological dose were identified as direct targets of GH action (early response genes). Intrinsic sex-differences in the GH responsiveness of a subset of these early response genes were observed. Notably, 45 male-specific genes, including five encoding transcriptional regulators that may mediate downstream sex-specific transcriptional responses, were rapidly induced by GH (within 30min) in Hypox male but not Hypox female mouse liver. The early GH response genes were enriched in 29 male-specific targets of the transcription factor Mef2, whose activation in hepatic stellate cells is associated with liver fibrosis leading to hepatocellular carcinoma, a male-predominant disease. Thus, the rapid activation by GH pulses of certain sex-specific genes is modulated by intrinsic sex-specific factors, which may be associated with prior hormone exposure (epigenetic mechanisms) or genetic factors that are pituitary-independent, and could contribute to sex-differences in predisposition to liver cancer or other hepatic pathophysiologies.
2010-01-27 | GSE17644 | GEO