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Cartilage

Cartilage is a resilient, flexible connective tissue found in many areas of the body, including joints, ears, and the respiratory system.
It is composed of specialized cells called chondrocytes and a matrix of collagen fibers, proteoglycans, and other molecules.
Cartilage provides cushioning, support, and smooth movements in the body.
It plays a crucial role in skeletal development, growth, and repair.
Cartilage research is essential for understanding and treating conditions like osteoarthritis, joint injuries, and congenital deformities.
Advances in this field can lead to improved diagnostic tools, treatment options, and regenerative therapies to enhance cartilage function and restore mobility.
Reasearch in this area contineus to evolve, offering new insights and opportunities for improved patient outcomes.

Most cited protocols related to «Cartilage»

Several methodological comparisons have been made regarding quantitative radio graphic data generated by the OAI (Supplementary Table 2 online). The findings emphasize, for example, the need to take radio-anatomic alignment of OAI fixed-flexion radiographs into account when analyzing change in JSW, and the need for central radiographic readings. Regarding semiquantitative scoring of articular tissue pathology using MRI images, two existing systems—WORMS (whole organ MRI score) and BLOKS (Boston Leeds osteoarthritis knee score)—were applied to a sample of images of 113 knees with radiographic OA and at risk of progression, from the OAI cohort. Both methods were shown to be reliable cross-sectionally (Supplementary Table 2 online). Longitudinally, BLOKS was found to be superior to WORMS for assessment of change in the meniscus, and WORMS was superior to BLOKS for scoring bone-marrow lesions (BMLs), in terms of predicting cartilage loss.4 (link) A new hybrid method (MOAKS; MRI OA knee score) was hence proposed with the aim of combining the advantages of each scoring system.5 (link) In assessing which sequence is better to detect such changes, more and larger focal cartilage defects and BMLs were detected with the intermediate-weighted fat-suppressed spin echo sequence than with DESS6 ,7 (link) (Figure 2, Supplementary Table 2 online).
Semi-automated segmentation algorithms for quantitative measurement of cartilage, bone, meniscus, and thigh muscles (Figure 3) have been assessed. These studies have used different image analysis approaches and have reported, in part, the level of agreement with manual segmentation and/or the level of inter-observer reliability (Figure 1, Supplementary Table 2 online).
The sensitivity to change of cartilage thick ness over 1 year in the medial femorotibial compartment was found to be similar between sagittal DESS, coronal multiplanar reconstructed DESS, and coronal FLASH in 80 knees (Figure 2), with SRMs ranging from −0.34 to −0.38.8 (link) The three protocols were also highly intercorrelated cross-sectionally (coefficient of correlation [r] ≥0.94); analysis of every second 0.7 mm DESS image provided similar sensitivity to change as analysis of every image.8 (link) Change in the medial weight-bearing femur substantially exceeded that in the posterior aspect of the femoral condyle, suggesting that structural progression is faster in (commonly) weight-bearing regions of the joint.9 (link)Measuring between-group differences using cartilage subregions (Figure 4) or atlases of cartilage thickness within anatomically defined cartilage plates has also been explored by several groups, alongside assessing whether such methods improve sensitivity to change (Supplementary Table 3 online). These studies generally identified the central subregion of the weight-bearing medial femoral cartilage plate as the region of interest with the greatest rate of cartilage loss and sensitivity to change (Figure 4).
Publication 2012
Bone Marrow Bones Cartilage Condyle Desmosine Disease Progression ECHO protocol Enchondroma Femur Helminths Hybrids Hypersensitivity Joints Knee Meniscus Muscle Tissue NES protein, human Radiography Thigh Tissues
At sacrifice the operated knees (mid femur to mid tibia) of all mice, and non-operated knees from 3 animals, were harvested, and the skin and muscle removed. Specimens were fixed in 10% neutral buffered formalin for 24 hrs, decalcified for 3 days in 10% formic acid/5% formalin, and paraffin embedded. Serial 4μm sagittal sections were cut across the width of the medial femoro-tibial joint and mounted on superfrost plus glass slides (3 serial sections per slide) with heating at 85°C for 30 minutes then overnight at 55°C. Sections every 40μm were stained with 0.04% toluidine blue and counterstained with 0.1% fast green (12–15 slides per mouse).
Two observers (CBL, AB) blinded to genotype and post-operative time, scored cartilage aggrecan loss (0–3) and structural damage (0–7), with maximal and summed score (sum of all scores in all slides) recorded as previously described (7 (link)). Each slide received a single score for each parameter representing the maximal score in the three sections on the slide. The number of slides with scores for structural damage was recorded as a measure of the “stage” of OA (width of joint affected). The presence or absence of morphological chondrocyte hypertrophy (enlarged chondrocyte lacunae with lack of toluidine blue stain around a collapsed cell as typically observed in the growth plate or calcified cartilage) in the non-calcified articular cartilage was recorded. Osteophyte size (0 = none, 1 = small ~ the same thickness as the adjacent cartilage, 2 = medium ~ 1–3 × the thickness as the adjacent cartilage, 3 = large >3 × the thickness as the adjacent cartilage) and osteophyte maturity (0 = none, 1 = predominantly cartilaginous, 2 = mixed cartilage and bone with active vascular invasion and endochondral ossification, 3 = predominantly bone) were scored on coded digital images of the same location of the anterior-medial tibia in each animal.
Publication 2009
Aggrecans Animals Blood Vessel Bones Cartilage Cartilages, Articular Cells Chondrocyte Endochondral Ossification Epiphyseal Cartilage Fast Green Femur Formalin formic acid Genotype Hypertrophy Joints Knee Mus Muscle Tissue Osteophyte Paraffin Skin Stains Tibia Tolonium Chloride

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Publication 2016
accutase Activins Becaplermin BMP4 protein, human Cartilage Fibroblast Growth Factor 2 Fibroblasts LDN 193189 Mesoderm Paraxial Mesoderm PD-0325901 Serum Somites thiazovivin transforming growth factor beta1.2 vismodegib XAV939

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Publication 2018
Base Sequence Cartilage Donors Gene Expression Gene Products, Protein Genes Genome Genome, Human Proteins RNA, Messenger RNA-Seq Self Confidence
The neural network model chosen for this problem is based on the U-Net architecture, which has previously shown promising results in the tasks of segmentation, particularly for medical images (15 (link),22 –25 ), and has fewer trainable parameters than the other popular segmentation architecture, SegNet (26 ). The U-Net architecture can be viewed in Figure E1 (online). The network takes a full image section as input and then, through a series of trainable weights, creates the corresponding section segmentation mask (22 ).
Our U-Net model uses a weighted cross-entropy loss function between the true segmentation value and the output for our model. The weighted cross-entropy function was used to account for the class imbalance of the volume that cartilage and meniscus compartments make up compared with the entire MR imaging volume. Details on this equation can be viewed in Appendix E1 (online).
To build the U-Net models, data in subjects from both the T1ρ-weighted and the DESS sets were divided into training, validation, and time-point testing sets with a 70/20/10 split and were then broken down into their respective two-dimensional (2D) sections to be used as inputs for the two sequence models. The time-point testing set for both data sets consisted of only follow-up studies corresponding to baseline studies in the training and validation data sets. This time-point hold-out data set was used as validation for the precision of the automatic segmentation longitudinally. A full breakdown of the T1ρ-weighted and DESS training, validation, and time-point testing data according to diagnostic group (ACL, OA, control) can be viewed in Table 2. The full 3D segmentation map was then generated by stacking the predicted 2D sections for a subject and then taking the largest 3D-connected component for each compartment class.
All U-Net models were implemented in Native TensorFlow, version 1.0.1 (Google, Mountain View, Calif). Model selection was made by using the 1-standard-error rule on the validation data set (27 ) (B.N., with 3 years of experience). For full learning specifications and learning curves of the U-Net, see Table E1 and Figure E2 (both online).
Publication 2018
Cartilage Catabolism Desmosine Entropy Learning Curve Meniscus

Most recents protocols related to «Cartilage»

Example 7

Cartilage explants obtained from 2 patients were cultured for 14 days in the presence of BMP-7 (1 nM) or BMP-7 mimicking peptide GYAAYYSEGESAFPLNSYMN (SEQ ID NO: 8) at 10 nM. Glycosaminoglycans (GAGs), an important component of the extracellular matrix (ECM), were stained with Safranin-O (in red) and other tissues are counterstained with Fast green (in green/blue).

Both patients showed an increased Safranin-O intensity in BMP7 and peptide GYAAYYSEGESAFPLNSYMN (SEQ ID NO: 8) treated explants compared to control.

These results are in line with the effects described above and show the BMP-7 mimicking bioactivity of the peptides according to the invention.

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Patent 2024
BMP7 protein, human Cartilage Extracellular Matrix Fast Green Glycosaminoglycans Patients Peptides safranine T Tissues

Example 6

4 mm2 cartilage explants were taken from non-lesion areas of OA patient's knee articular cartilage (n=5) and randomly assigned to different experimental treatment conditions (4 explants per treatment group). After a 24 h equilibration period the explants were treated with BMP-7 (1 nM) or the 12-mer peptide according to SEQ ID NO: 16 (10 nM) for 24 h. Hypertrophic gene expression was determined via qRT-PCR and normalized for 28S rRNA levels. After treatment with BMP-7 or the 12 mer we observed a downregulation of pro-hypertrophic genes, such as Col10a1 (FIG. 10A) and MMP13 (FIG. 10B). These results are in line with the effects described above and show the BMP-7 mimicking bioactivity of the peptides according to the invention.

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Patent 2024
Aftercare Bone Morphogenetic Protein 7 Cartilage Cartilages, Articular Down-Regulation Gene Expression Genes, vif Hypertrophy Knee Joint MMP13 protein, human Peptides RNA, Ribosomal, 28S Therapies, Investigational
Not available on PMC !

Example 7

A patient with osteoarthritis of the knee or with a cartilage and/or a bone defect is treated by surgically implanting cells and matrix according to the invention.

While preferred embodiments of the present invention have been shown and described herein, it will be obvious to those skilled in the art that such embodiments are provided by way of example only. Numerous variations, changes, and substitutions will now occur to those skilled in the art without departing from the invention. It should be understood that various alternatives to the embodiments of the invention described herein may be employed in practicing the invention. It is intended that the following claims define the scope of the invention and that methods and structures within the scope of these claims and their equivalents be covered thereby.

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Patent 2024
Adult Bones Cartilage Cartilages, Articular Cells Operative Surgical Procedures Osteoarthritis, Knee Ovum Implantation Patients

Example 5

Osteochondral specimens were surgically resected from the joints of adult arthritic human patients undergoing total knee replacement. Six-mm diameter cylindrical plugs were cored out with an Arthrex Single Use OATS System (Naples, Fla.). A surgical curette was used to make partial-thickness defects approximately 2 mm in size in the articular surface. The defects were filled with pluripotent stem cell-derived chondrogenic precursors which had been aggregated under the following mechanical pressures; 5×105 cells centrifuged in 15-ml conical tubes at 150 g for 5 min in DMEM/F12 supplemented with 10% FBS and incubated overnight in the presence or absence of TGFβ3. After 4 weeks, explants were fixed, paraffin-embedded, sectioned, and stained with Safranin O.

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Patent 2024
Adult Cartilage Cells Chondrogenesis Joints Knee Replacement Arthroplasty Oats Operative Surgical Procedures Paraffin Patients Pluripotent Stem Cells safranine T Transplantation
In this study, mRNA was isolated from cultured cells and knee articular cartilage tissues. The cultured cells were rinsed with PBS and lysed in RNA-Solv® Reagent (Omega Bio-tek, Norcross, GA, USA). The knee cartilage samples were placed in paired RNase-Free 1.5 EP tubes with four ground beads (5 mm in diameter) and frozen with liquid nitrogen. Subsequently, the tissues were pulverized and homogenized using Tissuelyser-24 (Jingxin, Shanghai, China). The TissueLyser was operated twice for 30 s at 45 Hz. The above tissue powder (50–100 mg) was lysed in Omega RNA-Solv® Reagent and RNA was isolated using the E.Z.N.A.® Total RNA Kit I (Omega Bio-tek) according to manufacturer’s protocol. MiRNA levels were extracted using a miRNA Isolation Kit (Ambion). RNA was stored at − 80 °C. Reverse transcription was performed using 1.0 µg total RNA and then used to prepare cDNA using miRNA and HiFiScript cDNA kits (CWBIO, Beijing, China), which were used to investigate the expression of miRNA and mRNA, respectively. All qPCRs were performed in a 20 µL volume using appropriate primers (1 µL; Sangon Biotech, Shanghai, China), cDNA (1 µL), and a ROX-containing UltraSYBR Mixture (CWBIO) with an ABI 7500 Sequencing Detection instrument (Applied Biosystems, CA, USA). The thermocycler settings were as follows: 40 cycles of 95 °C for 5 s and 60 °C for 24 s. U6 was used as an internal control for microRNA, whereas β-actin served as the control for messenger RNA. The cycle threshold (Ct) values were collected and normalized to the level of U6 or β-actin, with three samples per group. The relative mRNA level of each target gene was calculated by using the 2−ΔΔCt method. Primer sequences are shown in Table 1.

Primer sequences for qPCR

GenePrimers
MiR-760

Forward: UUCUCCGAACGUGUCACGUTT

Reverse: ACGUGACACGUUCGGAGAATT

MMP3

Forward: AGTCTTCCAATCCTACTGTTGCT

Reverse: TCCCCGTCACCTCCAATCC

MMP13

Forward: ACTGAGAGGCTCCGAGAAATG

Reverse: GAACCCCGCATCTTGGCTT

ADAMTS4

Forward: GAGGAGGAGATCGTGTTTCCA

Reverse: CCAGCTCTAGTAGCAGCGTC

COL2A1

Forward: TGGACGATCAGGCGAAACC

Reverse: GCTGCGGATGCTCTCAATCT

Aggrecan

Forward: ACTCTGGGTTTTCGTGACTCT

Reverse: ACACTCAGCGAGTTGTCATGG

HBEGF

Forward: ATCGTGGGGCTTCTCATGTTT

Reverse: TTAGTCATGCCCAACTTCACTTT

CBL

Forward: TGGTGCGGTTGTGTCAGAAC

Reverse: GGTAGGTATCTGGTAGCAGGTC

CAMK2G

Forward: ACCCGTTTCACCGACGACTA

Reverse: CTCCTGCGTGGAGGTTTTCTT

MAP2K1

Forward: CAATGGCGGTGTGGTGTTC

Reverse: GATTGCGGGTTTGATCTCCAG

ADCY1

Forward: AGGCACGACAATGTGAGCATC

Reverse: TTCATCGAACTTGCCGAAGAG

RPS6KA3

Forward: CGCTGAGAATGGACAGCAAAT

Reverse: TCCAAATGATCCCTGCCCTAAT

U6

Forward: CTCGCTTCGGCAGCACA

Reverse: AACGCTTCACGAATTTGCGT

β-actin

Forward: AGATGTGGATCAGCAAGCAG

Reverse: GCGCAAGTTAGGTTTTGTCA

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Publication 2023
Actins angiogenin Cartilage Cartilages, Articular Cultured Cells DNA, Complementary Freezing Genes isolation Knee Joint MicroRNAs Nitrogen Oligonucleotide Primers Powder Reverse Transcription RNA, Messenger RNA I Tissues

Top products related to «Cartilage»

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Fetal Bovine Serum (FBS) is a cell culture supplement derived from the blood of bovine fetuses. FBS provides a source of proteins, growth factors, and other components that support the growth and maintenance of various cell types in in vitro cell culture applications.
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TRIzol reagent is a monophasic solution of phenol, guanidine isothiocyanate, and other proprietary components designed for the isolation of total RNA, DNA, and proteins from a variety of biological samples. The reagent maintains the integrity of the RNA while disrupting cells and dissolving cell components.
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DMEM (Dulbecco's Modified Eagle's Medium) is a cell culture medium formulated to support the growth and maintenance of a variety of cell types, including mammalian cells. It provides essential nutrients, amino acids, vitamins, and other components necessary for cell proliferation and survival in an in vitro environment.
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Streptomycin is a broad-spectrum antibiotic used in laboratory settings. It functions as a protein synthesis inhibitor, targeting the 30S subunit of bacterial ribosomes, which plays a crucial role in the translation of genetic information into proteins. Streptomycin is commonly used in microbiological research and applications that require selective inhibition of bacterial growth.
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Penicillin is a type of antibiotic used in laboratory settings. It is a broad-spectrum antimicrobial agent effective against a variety of bacteria. Penicillin functions by disrupting the bacterial cell wall, leading to cell death.
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DMEM/F12 is a cell culture medium developed by Thermo Fisher Scientific. It is a balanced salt solution that provides nutrients and growth factors essential for the cultivation of a variety of cell types, including adherent and suspension cells. The medium is formulated to support the proliferation and maintenance of cells in vitro.
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Penicillin/streptomycin is a commonly used antibiotic solution for cell culture applications. It contains a combination of penicillin and streptomycin, which are broad-spectrum antibiotics that inhibit the growth of both Gram-positive and Gram-negative bacteria.
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TRIzol is a monophasic solution of phenol and guanidine isothiocyanate that is used for the isolation of total RNA from various biological samples. It is a reagent designed to facilitate the disruption of cells and the subsequent isolation of RNA.
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Collagenase type II is a purified enzyme derived from Clostridium histolyticum. It is used for the dissociation of a variety of cell types, particularly those with a high collagen content, such as cartilage and connective tissue.
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MATLAB is a high-performance programming language and numerical computing environment used for scientific and engineering calculations, data analysis, and visualization. It provides a comprehensive set of tools for solving complex mathematical and computational problems.

More about "Cartilage"

Cartilage is a resilient, flexible connective tissue that plays a crucial role in the skeletal system.
It is composed of specialized cells called chondrocytes and a matrix of collagen fibers, proteoglycans, and other molecules.
Cartilage can be found in various areas of the body, including joints, ears, and the respiratory system, providing cushioning, support, and smooth movements.
Cartilage research is essential for understanding and treating conditions like osteoarthritis, joint injuries, and congenital deformities.
Advances in this field can lead to improved diagnostic tools, treatment options, and regenerative therapies to enhance cartilage function and restore mobility.
Researchers often use various cell culture techniques and reagents to study cartilage.
For example, FBS (Fetal Bovine Serum) and DMEM (Dulbecco's Modified Eagle Medium) are commonly used to culture chondrocytes, while TRIzol reagent is used for RNA extraction.
Additionally, antibiotics like Streptomycin and Penicillin are often added to the culture media to prevent bacterial contamination.
DMEM/F12 is another medium often used for cartilage research, as it provides a balanced nutrient solution for cell growth and differentiation.
Penicillin/streptomycin is a common antibiotic combination used to supplement the culture media.
Collagenase type II is an enzyme widely used to isolate chondrocytes from cartilage tissue.
MATLAB, a numerical computing environment, is also employed in cartilage research for data analysis and modeling.
By leveraging these tools and techniques, researchers can optimize their cartilage research protocols for enhanced reproducibility and accuracy, leading to improved patient outcomes and advancements in the field of cartilage biology and regenerative medicine.