Mus musculus
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA187066 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Gene expression analysis in the lungs of Fra-2 Transgenic mice
| PRJNA221761 | ENA
Project description:Purpose: To study the alteration of whole transcriptome of Lewis lung carcinoma (LLC) cells after the decreasing of malignant properties of tumor by treatment of tumor-bearing mice with RNase A. Methods: Whole transcriptome profile of Lewis lung carcinoma before and after RNase A treatment were generated by deep sequencing using SOLiD 5.5. The sequence reads were mapped by Bioscope 1.3 software, differential expression was evaluated by Cufflinks v.2.0.1 package. Results: Difference in expression was found for 966 genes. Conclusions: Our study represents the first detailed analysis of alteration of transcriptome of Lewis lung carcinoma after the decrease of malignant prtoperties of the tumor (proliferation and invasion) by RNase A.
2014-12-03 | GSE63758 | GEO
Project description:We collected whole genome testis expression data from hybrid zone mice. We integrated GWAS mapping of testis expression traits and low testis weight to gain insight into the genetic basis of hybrid male sterility.
2014-12-04 | GSE61417 | GEO
Project description:The aim of this experiment is to identify novel gene candidates being regulated in Fra-2 overexpressing mice. Fra-2 over-expressing mice (Fra-2 TG) develop vascular remodeling and pulmonary fibrosis. Fra-2, as a trascription factor, is responsible for downstream target genes expression. Comparison of the mRNA expressed from WT and Fra-2 TG animals will help to identify Fra-2 target genes. The microarray analysis will be performed in mRNA isolated from lung homogenate. The lungs of the mice were extensively perfused. The right part was snap-froen and transfered to (-80°C). The total RNA was isolated and quantified.
2014-09-26 | GSE51222 | GEO
Project description:SILAC based protein correlation profiling using size exclusion of protein complexes derived from Mus musculus tissues (Heart, Liver, Lung, Kidney, Skeletal Muscle, Thymus)
2021-05-05 | PXD022309 | Pride
Project description:SILAC based protein correlation profiling using size exclusion of protein complexes derived from seven Mus musculus tissues (Heart, Brain, Liver, Lung, Kidney, Skeletal Muscle, Thymus)
2018-04-24 | PXD007288 | Pride
Project description: Not available
| S-EPMC8784167 | biostudies-literature
Project description:The importance of unanchored Ub in innate immunity has been shown only for a limited number of unanchored Ub-interactors. We investigated what additional cellular factors interact with unanchored Ub and whether unanchored Ub plays a broader role in innate immunity. To identify unanchored Ub-interacting factors from murine lungs, we used His-tagged recombinant poly-Ub chains as bait. These chains were mixed with lung tissue lysates and protein complexes were isolated with Ni-NTA beads. Sample elutions were subjected to mass spectrometry (LC-MSMS) analysis.
2022-02-28 | PXD031365 | Pride
Project description:We collected whole genome testis expression data from hybrid zone mice. We integrated GWAS mapping of testis expression traits and low testis weight to gain insight into the genetic basis of hybrid male sterility. Gene expression was measured in whole testis from males aged 62-86 days. Samples include 190 first generation lab-bred male offspring of wild-caught mice from the Mus musculus musculus - M. m. domesticus hybrid zone.
2014-12-04 | E-GEOD-61417 | biostudies-arrayexpress
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