Brain-RNA-Seq
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB52665 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:RNA-Seq from liver of Large White immunocastrated male fed with different oils
| PRJEB50513 | ENA
Project description:RNA-Seq from skeletal muscle of Large White immunocastrated male fed with different oils
| PRJEB52629 | ENA
Project description:Profile the expression of micoRNAs in the human brain at prenatal, early childhood, and adult timepoints 37 prenatal cerebral tissue samples, 11 postnatal cerebral tissue samples, 2 adult total brain samples (FirstChoice Human Brain Reference RNA cat# AM6050 and FirstChoice Human Brain Total RNA cat# AM7962*. *The current FirstChoice Human Brain Total RNA (2013), is from a 78 year old white female, while the FirstChoice Total RNA used in this deposited data set was from an 81 year old white male, which is no longer available through Ambion/Life Technologies.)
2013-03-21 | E-GEOD-45126 | biostudies-arrayexpress
Project description:Vanishing white matter (VWM) is a leukodystrophy that primarily manifests in young children. In this disease, the brain white matter is differentially affected in a predictable pattern with telencephalic brain areas being more severely affected, while others remain allegedly completely spared. Using high-resolution mass spectrometry-based proteomics, we investigated the proteome patterns of the severely affected white matter in the frontal lobe and normal appearing pons in VWM and control cases to identify molecular bases underlying regional vulnerability. By comparing VWM patients to controls, we identified disease-specific proteome patterns. We showed substantial pathogenic changes in both the frontal white matter and pons at the protein level. Side-by-side comparison of brain region-specific proteome patterns further revealed regional differences. We found that different cell types are affected in the VWM frontal white matter than in the pons. Gene ontology and pathway analyses identified involvement of region distinct biological processes, of which pathways implicated in cellular respiratory metabolism were overarching features. In the VWM frontal white matter, proteome changes were associated with decrease in glycolysis/gluconeogenesis and metabolism of various amino acids. By contrast, in the VWM pons white matter, we found a decrease in oxidative phosphorylation. Taken together, our data show that brain regions are affected in parallel in VWM, but to different degrees. We found region-specific involvement of different cell types and discovered that cellular respiratory metabolism is differently affected across white matter regions in VWM. These region-specific changes help explain regional vulnerability to pathology in VWM.
2023-06-28 | PXD040861 | Pride
Project description:We report differential expressed genes in white and brown adipose tissues with surgical denervation procedure in male mice fed with a high-fat diet.
2019-02-16 | GSE126652 | GEO
Project description:We report differential expressed genes in white and brown adipose tissues with surgical denervation procedure in male mice fed with a low-fat diet.
2019-02-16 | GSE126649 | GEO
Project description:RNA-Seq analysis carried out in three different backcrosses based on Iberian breed with Landrace, Pietrain and Duroc breeds
2017-10-31 | PRJEB23068 | EVA
Project description:Purpose: To investigate the effect that acute ethanol tretament (5 g/kg) has on the brain transcriptome and relate that to ethanol-related behaviors. Methods: Male LXS recombinant inbred mice (40 strains; n=2 or 3 per strain) were treated with saline or ethanol (i.p.; 5 g/kg). Paired-end RNA-seq methods were employed to assess mRNA expression in whole brain 8 hours after the treatment. Results: The expression of thousands of transcripts was altered by the ethanol treatment. Thousands of expression QTLs (eQTLs) were mapped. A large percentage of the eQTLs were unique to the treatment.
2020-10-28 | GSE157215 | GEO
Project description:Diet plays a major role in altering the composition and function of the gut microbiota. Previously most studies have focused on the effects of fiber, fat, and different amounts of protein on the gut microbiota. In this study we investigated how different sources of protein affect the gut microbiota of mice. We fed conventional and germ-free C57BL/6J mice a series of defined diets where the source of dietary protein was the key difference, which made up twenty or forty percent of the diet. The dietary protein sources used were purified protein. The diets were fed to the same mice for one week each with a fecal sample collected at the end of each week. The diets were fed in this order: standard chow, 20% soy, 20% casein, 20% rice, 40% soy, 20% yeast, 40% casein, 20% pea, 20% egg white protein, 20% chicken bone broth, and lastly at the end of the experiment half of the mice were fed the 20% soy and half the mice the 20% casein diet again as a control. We did not collect fecal samples for the chicken bone broth diet as the diet was stopped prematurely due to diet intolerance. 12 germ-free mice (6 female, 6 male) in four cages were used. 12 mice with a conventional gut microbiota in four cages were used (6 female, 6 male). One germ-free mouse was found dead after diet 5 (20% yeast) and one conventional mouse was sacrificed after the second diet (20% casein). No sample could be collected from one of the conventional mice after the 20% egg white diet.
2024-12-18 | PXD041586 | Pride
Project description:We carried out total RNA sequencing on RNA extracted from 5 brain subregions (cerebellum, cortex, hippocampus, hypothalamus and thalamus) and liver tissues of wild-type mice at 3 months of age. In total, two female and two male mice were used to obtain biological replicates for appropriate statistical analysis. Not only is this dataset used to perform expression analysis between brain subregions and between brain and liver, it is also used in-conjunction with 5hmC-seq methylation profiles that we performed to study the association between 5hmC and gene expression. Stranded RNA-seq library was prepared and sequenced on a HiSeq2500 by single end sequencing with 100 bp read length.
2017-01-31 | E-MTAB-5166 | biostudies-arrayexpress