Mus musculus
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: E-GEOD-1571
PROVIDER: PRJNA90807 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:This study identified gene expression of Side Population (SP) and Main Population (MP) cells, isolated from adult murine skeletal muscle and Bone Marrow. Five different preparations of muscle SP, muscle MP, Bone marrw SP and Bone marrow MP cells were used as replicates.
2004-11-16 | GSE1571 | GEO
Project description:This study identified gene expression of Side Population (SP) and Main Population (MP) cells, isolated from adult murine skeletal muscle and Bone Marrow. Five different preparations of muscle SP, muscle MP, Bone marrw SP and Bone marrow MP cells were used as replicates. SUBMITTER_CITATION: Liadaki K, Kho AT, Sanoudou D, Schienda J, Flint A, Beggs AH, Kohane IS, Kunkel LM. Side population cells isolated from different tissues share transcriptome signatures and express tissue-specific markers. Exp Cell Res. 2005;303(2):360-74.
2007-10-11 | E-GEOD-1571 | biostudies-arrayexpress
Project description:To better understand the molecular mechanisms of SP cells, we screened the miRNAs expression patterns in the SP compared with the MP cells. MiRCURY™ LNA array analysis of sorted SP and MP cells from two relapsed myeloma patients with more than 70% bone marrow plasma cells were performed.
2015-12-31 | GSE56163 | GEO
Project description:To better understand the molecular mechanisms of SP cells, we screened the miRNAs expression patterns in the SP compared with the MP cells. MiRCURY⢠LNA array analysis of sorted SP and MP cells from two relapsed myeloma patients with more than 70% bone marrow plasma cells were performed. In order to identify the miRNA patten between SP and MP cells, the samples were labeled using the miRCURY⢠Hy3â¢/Hy5⢠Power labeling kit (Exiqon) and hybridized on the miRCURY⢠LNA Array (v.16.0).
2015-12-31 | E-GEOD-56163 | biostudies-arrayexpress
Project description:ATAC-seq profiling of Nfat5 KO and wild type macrophages derived from bone marrow (primary cells), treated or not with Lipopolysaccharide (LPS).
2021-06-09 | GSE111476 | GEO
Project description:Analysis of the transcriptome of mononuclear side population (SP) and main population (MP) cells of human fetal skeletal muscle from 12 human subjects of gestational age 14-18 weeks. Total RNA was extracted and profiled from 12 human fetal skeletal muscle side population (SP) cells and 10 corresponding human skeletal muscle main population (MP) cells.
2011-01-26 | E-GEOD-26869 | biostudies-arrayexpress
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:A transcriptome study in mouse hematopoietic stem cells was performed using a sensitive SAGE method, in an attempt to detect medium and low abundant transcripts expressed in these cells. Among a total of 31,380 unique transcript, 17,326 (55%) known genes were detected, 14,054 (45%) low-copy transcripts that have no matches to currently known genes. 3,899 (23%) were alternatively spliced transcripts of the known genes and 3,754 (22%) represent anti-sense transcripts from known genes. Mouse hematopoietic stem cells were purified from bone marrow cells using negative and positive selection with a Magnetic-Activated Cell Sorter (MACS). total RNA and mRNA were purified from the purified cells using Trizol reagent and magnetic oligo dT beads. Double strand cDNAs were synthesized using a cDNA synthesis kit and anchored oligo dT primers. After NlaIII digestion, 3’ cDNAs were isolated and amplified through 16-cycle PCR. SAGE tags were released from the 3’ cDNA after linker ligation. Ditags were formed, concatemerized and cloned into a pZERO vector. Sequencing reactions were performed with the ET sequencing terminator kit. Sequences were collected using a Megabase 1000 sequencer. SAGE tag sequences were extracted using SAGE 2000 software.
2009-05-20 | E-GEOD-16139 | biostudies-arrayexpress
Project description:Introgressed variants from other species can be an important source of genetic variation because they may arise rapidly, can include multiple mutations on a single haplotype, and have often been pretested by selection in the species of origin. Although introgressed alleles are generally deleterious, several studies have reported introgression as the source of adaptive alleles-including the rodenticide-resistant variant of Vkorc1 that introgressed from Mus spretus into European populations of Mus musculus domesticus. Here, we conducted bidirectional genome scans to characterize introgressed regions into one wild population of M. spretus from Spain and three wild populations of M. m. domesticus from France, Germany, and Iran. Despite the fact that these species show considerable intrinsic postzygotic reproductive isolation, introgression was observed in all individuals, including in the M. musculus reference genome (GRCm38). Mus spretus individuals had a greater proportion of introgression compared with M. m. domesticus, and within M. m. domesticus, the proportion of introgression decreased with geographic distance from the area of sympatry. Introgression was observed on all autosomes for both species, but not on the X-chromosome in M. m. domesticus, consistent with known X-linked hybrid sterility and inviability genes that have been mapped to the M. spretus X-chromosome. Tract lengths were generally short with a few outliers of up to 2.7 Mb. Interestingly, the longest introgressed tracts were in olfactory receptor regions, and introgressed tracts were significantly enriched for olfactory receptor genes in both species, suggesting that introgression may be a source of functional novelty even between species with high barriers to gene flow.
| S-EPMC8784167 | biostudies-literature