Unknown,Transcriptomics,Genomics,Proteomics

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Expression data from the rat knee articular cartilage at different developmental stages

ABSTRACT: 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 GeneChipÂ® miRNA 3.0 Array.

ORGANISM(S): Rattus norvegicus

SUBMITTER: Xiao Chun Wei

PROVIDER: E-GEOD-48266 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Hui2014 - Age-related changes in articular cartilage This model is described in the article: Oxidative changes and signalling pathways are pivotal in initiating age-related changes in articular cartilage Wang Hui1, David A Young1, Andrew D Rowan1, Xin Xu2, Tim E Cawston1, Carole J Proctor1,3 Annals of the Rheumatic Diseases Abstract: Objective: To use a computational approach to investigate the cellular and extracellular matrix changes that occur with age in the knee joints of mice. Methods: Knee joints from an inbred C57/BL1/6 (ICRFa) mouse colony were harvested at 3–30?months of age. Sections were stained with H&E, Safranin-O, Picro-sirius red and antibodies to matrix metalloproteinase-13 (MMP-13), nitrotyrosine, LC-3B, Bcl-2, and cleaved type II collagen used for immunohistochemistry. Based on this and other data from the literature, a computer simulation model was built using the Systems Biology Markup Language using an iterative approach of data analysis and modelling. Individual parameters were subsequently altered to assess their effect on the model. Results: A progressive loss of cartilage matrix occurred with age. Nitrotyrosine, MMP-13 and anaplastic lymphoma kinase (ALK1) staining in cartilage increased with age with a concomitant decrease in LC-3B and Bcl-2. Stochastic simulations from the computational model showed a good agreement with these data, once transforming growth factor-? signalling via ALK1/ALK5 receptors was included. Oxidative stress and the interleukin 1 pathway were identified as key factors in driving the cartilage breakdown associated with ageing. Conclusions: A progressive loss of cartilage matrix and cellularity occurs with age. This is accompanied with increased levels of oxidative stress, apoptosis and MMP-13 and a decrease in chondrocyte autophagy. These changes explain the marked predisposition of joints to develop osteoarthritis with age. Computational modelling provides useful insights into the underlying mechanisms involved in age-related changes in musculoskeletal tissues. This model is hosted on BioModels Database and identified by: BIOMD0000000560. 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.

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