E-GEOD-8077
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: PRJNA100915
PROVIDER: E-GEOD-8077 | ExpressionAtlas | 2014-07-31
REPOSITORIES: ExpressionAtlas
Similar Datasets
Project description:Array methylation profiling of knee osteoarthritis patients who have undergone total joint replacement
| EGAD00010001287 | EGA
Project description:To further explain pathology of mTORC1 -stimulated osteoarthritis, we have employed whole genome microarray expression profiling as a discovery platform to identify miRNAs which involved in development of mTORC1-stimulated osteoarthritis We generated Col2a1-specific deletion of Tsc1 mice. mTORC1 induced miRNAs expression in development of osteoarthritis was measured at eight weeks after birth. Independent experiments were performed using knee joint cartilage from Col2a1Tsc1KO and control mice.
2016-07-30 | E-GEOD-71484 | biostudies-arrayexpress
Project description:To investigate the functions of ncRNAs in temporomandibular joint osteoarthritis, we established temporomandibular joint osteoarthritis model induced by unilateral anterior crossbite. We then performed gene expression profiling analysis using data obtained from RNA-seq of condylar cartilage at 8 weeks of modeling.
2022-10-31 | GSE207461 | GEO
Project description:To investigate the functions of ncRNAs in temporomandibular joint osteoarthritis, we established temporomandibular joint osteoarthritis model induced by unilateral anterior crossbite. We then performed gene expression profiling analysis using data obtained from RNA-seq of condylar cartilage at 8 weeks of modeling.
2022-10-31 | GSE207462 | GEO
Project description:miRNA array comparing the transcription profile of control rats and rats after intra-hippocampal pilocarpine-induced Status Epilepticus (PILO-SE).
2016-04-28 | E-MTAB-4633 | biostudies-arrayexpress
Project description:The aim of this work is to apply an integrated systems approach to understand the biological underpinnings of hip osteoarthritis that culminates in the need for total joint replacement (TJR). This study is a feasibility pilot that integrates functional genomics data from diseased and non-diseased tissues of OA patients who have undergone TJR. For each tissue, we characterised epigenetic marks (methylation), gene transcription (RNASeq) and expression (quantitative proteomics). We also generated genotype data on the HumanCoreExome array for each individual. This data is part of a pre-publication release.
2018-05-14 | PXD006673 | Pride
Project description:Chondrocytes undergo changes to their protein translational capacity during osteoarthritis progression, but a study of how disease-relevant signals affect chondrocyte protein translation at the transcriptome level has not previously been performed. In this study we describe how the inflammatory cytokine IL-1B rapidly affects protein translation in the chondrosarcoma cell line SW1353. Using ribosome profiling we demonstrate that IL-1B induced altered translation of inflammatory-associated transcripts through differential translation and the use of multiple open reading frames. Proteomic analysis of the cellular layer and the conditioned media of these cells identified that proteins which were differentially translated were most readily detected in the secretome. We have produced combined ribosome profiling and proteomic datasets which provide a valuable resource in understanding the processes that are occuring during cytokine stimulation of chondrocytic cells.
2019-07-17 | MSV000084104 | MassIVE
Project description:Age as the primary rise factor could be play an important role in incidence and development of osteoarthritis. Several studies have confirmed some tissue specific microRNA were associated with development of osteoarthritis. But if age related microRNA or miRNA cluster would be involved in pivotal post-transcriptional gene regulation in osteoarthritis is unclear. In view of this, we have an idea that several age-related miRNAs would be screened from the rat knee cartilage at different development ages by miRNAs Microarray analysis. We used microarrays to detail the global programme of gene expression underlying the rat knee cartilage and identified distinct classes of age-related miRNAs during this process. The rat knee articular cartilage were selected at successive stages of the rat developmental for RNA extraction and hybridization on Affymetrix microarrays. We sought to obtain homogeneous populations of cartilage at each developmental stage in order to increase the temporal resolution of expression profiles. To that end, we hand-selected cartilage according to the rat developmental stages, i.e. seven time-points: newborn (T0), childhood (T1), youth(T2), adult (T3), middle-aged (T4) early-stage elderly(T5) and latter-stage elderly(T6). The objective of the study is to identify miRNA profile of knee articular cartilage at different developmental ages in rats. Total RNA were extracted from the knee articular cartilage of Sprague-Dawley rats at postnatal day 0(T0), week1(T1), week 4(T2), mon3(T3), mon 6(T4), mon 12(T5), and mon 18(T6). The microRNA profile in the specimens was detected with the Affymetrix GeneChip® miRNA 3.0 Array.
2013-06-26 | E-GEOD-48266 | biostudies-arrayexpress
Project description:Colorectal cancer (CRC) is strongly affected by diet, with red and processed meat increasing risk. To understand the role of microbiome in this phenomenon and to identify specific microbiome/metabolomics profiles associated with CRC risk, will be studied: 1) healthy volunteers fed for 3 months with: a high-CRC risk diet (meat-based MBD), a normalized CRC risk diet (MBD plus alpha-tocopherol, MBD-T), a low-CRC risk diet (pesco-vegetarian, PVD). At the beginning and at the end of the intervention, gut microbiome profiles (metagenomics and metabolomics), and CRC biomarkers (genotoxicity, cytotoxicity, peroxidation in faecal water; lipid/glycemic indexes, inflammatory cytokines, oxidative stress), 2) Colon carcinogenesis: the same diets will be fed (3 months) to carcinogen-induced rats or to Pirc rats, mutated in Apc, the key gene in CRC; faecal microbiome profiles, will be correlated to carcinogenesis measuring preneoplastic lesions, colon tumours, and faecal and blood CRC biomarkers as in humans; 3) To further elucidate the mechanisms underlying the effect of different microbiomes in determining CRC risk, faeces from rats fed the experimental diets will be transplanted into carcinogen-induced germ-free rats, measuring how microbiome changes correlate with metabolome and disease outcomes. The results will provide fundamental insight in the role of microbiome in determining the effect of the diet, in particular red/processed meat intake, on CRC risk
| 2264615 | ecrin-mdr-crc