Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Comparison of steady state mRNA levels between equine articular cartilage and ten other equine tissues

ABSTRACT: A tissue survey of gene expression was conducted using microarray-based transcriptional profiling to compare equine articular cartilage to 10 other normal adult horse tissues. The ten comparative tissues were bladder, cerebellum, kidney, liver, lung, lymph node, muscle, placental villous, spleen, and testis. Messenger RNA transcriptome comparisons were conducted between equine articular cartilage and ten other body tissues using a 9413 element equine-specific cDNA microarray and a two-color dye-swap experimental design. After scanning, the median intensities adjusted for background were entire chip Lowess-normalized for each individual slide. Quantile regression was used to estimate the conditional quantile of the M and A log ratios given the observed average log intensity. Briefly, a nonparametric approach was used to reveal the relationship between percentiles of M and A, where M is log2 (R/G) and A is 0.5 log2 (RG) with R representing expression in articular cartilage and G representing expression in the comparative tissue. The quantile regression was fit using a B-spline with 5 fixed nodes. The 1st, 5th, 10th, 20th, 50th, 80th, 90th, 95th, and 99th conditional quantiles were estimated. For each observed gene intensity in a given tissue comparison, the normal quantile was used as the cartilage-specificity in place of the corresponding estimated regression quantile.

ORGANISM(S): Equus caballus

SUBMITTER: Michael Mienaltowski

PROVIDER: E-GEOD-23862 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Brother of CDO (BOC) expression in equine articular cartilage.

Vanderman K S KS Tremblay M M Zhu W W Shimojo M M Mienaltowski M J MJ Coleman S J SJ MacLeod J N JN

Osteoarthritis and cartilage 20110122 4

Brother of CDO (BOC) is a cell surface receptor that derives its name from the structurally related protein, cell adhesion molecule-related/down-regulated by oncogenes (CDO, sometimes CDON). High levels of BOC mRNA and protein expression have been described in embryonic tissues with active cell proliferation and ongoing cellular differentiation(1,2). A microarray-based screen of RNA isolated from 11 different adult equine tissues unexpectedly identified BOC as having an expression pattern restri ...[more]

PMID: 21262369

Publication: 1/2

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Project description:Osteoarthritis (OA) is characterised by loss of articular cartilage, synovial membrane dysfunction and subchondral sclerosis. Few studies have used a global approach to stratify equine synovial fluid (SF) molecular profiles according to OA severity. SF was collected from 58 metacarpophalangeal (MCP) and metatarsophalangeal joints of racing Thoroughbred horses (Hong Kong Jockey Club; HKJC) and 83 MCP joints of mixed breed horses from an abattoir and equine hospital (biobank). Joints were histologically and macroscopically assessed for OA severity. For proteomic analysis, native SF and SF loaded onto ProteoMinerTM equalisation columns, to deplete high abundant proteins, were analysed using liquid chromatography-tandem mass spectrometry (LC-MS/MS) and label-free quantification. Validation of selected differentially expressed proteins was undertaken using clinical SF collected during diagnostic investigations. Native SF metabolites were analysed using 1D 1H Nuclear Magnetic Resonance (NMR). 1,834 proteins and 40 metabolites were identified in equine SF. Afamin levels decreased with synovitis severity and four uncharacterised proteins decreased with OA severity. Gelsolin and lipoprotein binding protein decreased with OA severity and apolipoprotein A1 levels increased for mild and moderate OA. Within the biobank, glutamate levels decreased with OA severity and for the HKJC, 2-aminobutyrate, alanine and creatine increased with severity. Proteomic and metabolomic integration was undertaken using linear regression via Lasso penalisation modelling, incorporating 29 variables (R2=0.82) with principal component 2 able to discriminate advanced OA from earlier stages, predominantly driven by H9GZQ9, F6ZR63 and alanine. Combining biobank and HKJC datasets, discriminant analysis of principal components modelling prediction was good for mild OA (90%). This study has stratified equine OA using both metabolomic and proteomic SF profiles and identified a panel of markers of interest which may be applicable to grading OA severity. This is also the first study to undertake computational integration of NMR metabolomic and LC-MS/MS proteomic datasets of any biological system. Proteomic dataset depositied in PRIDE - <a href='https://www.ebi.ac.uk/pride/archive/projects/PXD019842' rel='noopener noreferrer' target='_blank'>PXD019842</a>.

Project description:Osteoarthritis (OA) is characterised by loss of articular cartilage, synovial membrane dysfunction and subchondral sclerosis. Few studies have used a global approach to stratify equine synovial fluid (SF) molecular profiles according to OA severity. SF was collected from 58 metacarpophalangeal (MCP) and metatarsophalangeal joints of racing Thoroughbred horses (Hong Kong Jockey Club; HKJC) and 83 MCP joints of mixed breed horses from an abattoir and equine hospital (biobank). Joints were histologically and macroscopically assessed for OA severity. For proteomic analysis, native SF and SF loaded onto ProteoMiner™ equalisation columns, to deplete high abundant proteins, were analysed using liquid chromatography-tandem mass spectrometry (LC-MS/MS) and label-free quantification. Validation of selected differentially expressed proteins was undertaken using clinical SF collected during diagnostic investigations. Native SF metabolites were analysed using 1D 1H Nuclear Magnetic Resonance (NMR). 1,834 proteins and 40 metabolites were identified in equine SF. Afamin levels decreased with synovitis severity and four uncharacterised proteins decreased with OA severity. Gelsolin and lipoprotein binding protein decreased with OA severity and apolipoprotein A1 levels increased for mild and moderate OA. Within the biobank, glutamate levels decreased with OA severity and for the HKJC, 2-aminobutyrate, alanine and creatine increased with severity. Proteomic and metabolomic integration was undertaken using linear regression via Lasso penalisation modelling, incorporating 29 variables (R2=0.82) with principal component 2 able to discriminate advanced OA from earlier stages, predominantly driven by H9GZQ9, F6ZR63 and alanine. Combining biobank and HKJC datasets, discriminant analysis of principal components modelling prediction was good for mild OA (90%). This study has stratified equine OA using both metabolomic and proteomic SF profiles and identified a panel of markers of interest which may be applicable to grading OA severity. This is also the first study to undertake computational integration of NMR metabolomic and LC-MS/MS proteomic datasets of any biological system.

Dataset Information

Comparison of steady state mRNA levels between equine articular cartilage and ten other equine tissues

Publications

Brother of CDO (BOC) expression in equine articular cartilage.

Similar Datasets

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