Project description:Background: Meniscus tears are the most common injury in the knee and are associated with an increased risk of osteoarthritis (OA). The molecular profile of knees with meniscus tears is not well-studied. Therefore, to advance our understanding of the early response of the knee to injury, we compared the gene expression profile of meniscus and articular cartilage within the same knees following meniscus injury. Hypothesis/Purpose: To identify differences between the molecular signatures of meniscus and articular cartilage from knees with intact articular cartilage undergoing arthroscopic partial meniscectomy. Study Design: Descriptive laboratory study Methods: Patients (n=12) with a known isolated medial meniscus tear without any knee chondrosis or radiographic OA were consented prior to surgery. During arthroscopic partial meniscectomy, a sample of their injured meniscus and a sample of their articular cartilage off the medial femoral condyle were procured. The transcriptome signatures, as measured through Affymetrix microarray, were compared between the two tissues and underlying biological processes were explored computationally. Results: 3566 gene transcripts were differentially expressed between meniscus and articular cartilage. Gene transcripts down-regulated in articular cartilage were associated with extracellular matrix organization, wound healing, cell adhesion, and chemotaxis. Gene transcripts up-regulated in articular cartilage were associated with blood vessels morphogenesis and angiogenesis. Examples of individual genes with significant differences in expression between the two tissues include IBSP (23.76 fold; P < 0.001), upregulated in meniscus, and TREM1 (3.23 fold; P = 0.006), upregulated in meniscus. Conclusion: The meniscus and articular cartilage have distinct gene expression profiles in knees with meniscus tears and intact articular cartilage. Total RNA obtained from injured meniscus and normal articular cartilage from patients undergoing partial meniscectomy.
Project description:Background: Meniscus tears are the most common injury in the knee and are associated with an increased risk of osteoarthritis (OA). The molecular profile of knees with meniscus tears is not well-studied. Therefore, to advance our understanding of the early response of the knee to injury, we compared the gene expression profile of meniscus and articular cartilage within the same knees following meniscus injury. Hypothesis/Purpose: To identify differences between the molecular signatures of meniscus and articular cartilage from knees with intact articular cartilage undergoing arthroscopic partial meniscectomy. Study Design: Descriptive laboratory study Methods: Patients (n=12) with a known isolated medial meniscus tear without any knee chondrosis or radiographic OA were consented prior to surgery. During arthroscopic partial meniscectomy, a sample of their injured meniscus and a sample of their articular cartilage off the medial femoral condyle were procured. The transcriptome signatures, as measured through Affymetrix microarray, were compared between the two tissues and underlying biological processes were explored computationally. Results: 3566 gene transcripts were differentially expressed between meniscus and articular cartilage. Gene transcripts down-regulated in articular cartilage were associated with extracellular matrix organization, wound healing, cell adhesion, and chemotaxis. Gene transcripts up-regulated in articular cartilage were associated with blood vessels morphogenesis and angiogenesis. Examples of individual genes with significant differences in expression between the two tissues include IBSP (23.76 fold; P < 0.001), upregulated in meniscus, and TREM1 (3.23 fold; P = 0.006), upregulated in meniscus. Conclusion: The meniscus and articular cartilage have distinct gene expression profiles in knees with meniscus tears and intact articular cartilage.
Project description:Analysis of gene expression in E16 mouse meniscus, articular cartilage, and cruciate ligaments Limbs were dissected from E16 CD-1 mice. Samples were frozen in OCT and cryosectioned. Meniscus, articular carilage, and cruciate ligament were isolated using laser capture microdissection. Total RNA was isolated from these tissues, amplified, and gene expression was analyzed using microarrays. Three biological replicates were analyzed for each tissue type. Total RNA extracted from E16 mouse meniscus, articular cartilage, and cruciate ligaments
Project description:In this study, we have tested the variation in gene expression signatures in human injured meniscus with age and degree of chondrosis in the knee. We found several genes that were differentially regulated with each of these factors and they represent important biological pathways in osteoarthritis research. Total RNA obtained from isolated injured meniscus tissues from patients undergoing arthroscopic partial meniscectomy.
Project description:Analysis of gene expression in E16 mouse meniscus, articular cartilage, and cruciate ligaments Limbs were dissected from E16 CD-1 mice. Samples were frozen in OCT and cryosectioned. Meniscus, articular carilage, and cruciate ligament were isolated using laser capture microdissection. Total RNA was isolated from these tissues, amplified, and gene expression was analyzed using microarrays. Three biological replicates were analyzed for each tissue type.
Project description:Osteoarthritis (OA) affects all tissues in the knee joint but therapeutic targets have often been selected for their role in cartilage damage and inflammation and largely omitted consideration of mechanisms that are mediating meniscus damage and more importantly there have been insufficient efforts to determine whether pathogenic processes are shared between tissues. Several scRNA-seq analyses have been performed in OA knees but have been largely restricted to the analysis of a single joint tissue of articular cartilage, or meniscus with the exception of one study that analyzed cartilage and synovium. Here, we performed scRNA-seq analyses of healthy and OA-affected human knee cartilage and menisci to interrogate separate and shared mechanisms in cellular homeostasis and OA pathogenesis.
Project description:We used laser capture microdissection to isolate different zones of the articular cartilage from proximal tibiae of 1-week old mice, and used microarray to analyze global gene expression. Bioinformatic analysis corroborated previously known signaling pathways, such as Wnt and Bmp signaling, and implicated novel pathways, such as ephrin and integrin signaling, for spatially associated articular chondrocyte differentiation and proliferation. In addition, comparison of the spatial regulation of articular and growth plate cartilage revealed unexpected similarities between the superficial zone of the articular cartilage and the hypertrophic zone of the growth plate.
Project description:We used laser capture microdissection to isolate different zones of the articular cartilage from proximal tibiae of 1-week old mice, and used microarray to analyze global gene expression. Bioinformatic analysis corroborated previously known signaling pathways, such as Wnt and Bmp signaling, and implicated novel pathways, such as ephrin and integrin signaling, for spatially associated articular chondrocyte differentiation and proliferation. In addition, comparison of the spatial regulation of articular and growth plate cartilage revealed unexpected similarities between the superficial zone of the articular cartilage and the hypertrophic zone of the growth plate. Collecte five biological replications in three superficial, mid zone and deep zones of Articular Cartilage Assessed by Laser Captured Microdissection and Microarray(Superficial Zone vs Mid Zone vs Deep Zone)
Project description:Objective: To assess the impact of osteoarthritis (OA) on the transcripts and biological process in the articular cartilage between patients with and without OA. Design: Patients undergoing arthroscopic partial meniscectomy (APM) without any evidence for OA and patients undergoing total knee arthroplasty (TKA) due to end-stage OA were consented. Healthy-appearing cartilage was garnered from the non-weight bearing site of the medial intercondylar notch. RNA preparation was subjected to SurePrint G3 human 8X60K RNA microarrays to probe differentially expressed (DE) transcripts followed by computational exploration of underlying biological processes and pathways. Real-time PCR was performed on selected transcripts to validate microarrays data. Results: We identified 603 transcripts significantly (FDR <0.05) differentially expressed (293 elevated, 310 repressed) between APM and TKA samples (1.5 fold). Among these, CFD, CSN1S1, TSPAN11, CSF1R and CD14 were the most prominent transcripts elevated in TKA group, CHI3L2, MEG3, HILPDA, COL3A1, COL27A and FGF2 were most highly repressed in TKA samples. Few long intergenic non-coding RNAs (linRNAs), and small nuclear RNAs (snoRNAs) were also differentially expressed between the two groups. Conclusions: Numerous transcripts with potential relevance to the pathogenesis of OA are DE in OA and non-OA cartilage. These data suggest an involvement of metabolic signaling and epigenetic markers (lincRNAs, snoRNAs) in cartilage.