ReviewInternational journal of molecular sciences2023
RNA Extraction from Cartilage: Issues, Methods, Tips.
Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Decellularized biological matrices for the repair of rotator cuff lesions: a systematic review of preclinicalFrontiers in bioengineering and biotechnology · 2024Pooled it
- Advancement in the Methods for Isolating High Quality RNA From Mouse and Rat Intervertebral Disc.JOR spine · 2026Article
- Spatial transcriptomics: challenges and future directions in musculoskeletal diseases.Current opinion in rheumatology · 2026Review
- Recent Advances in Experimental Functional Characterization of GWAS Candidate Genes in Osteoporosis.International journal of molecular sciences · 2025Review
- Lifestyle and Clinical Predictors of Glial Cell Line-Derived Neurotrophic Factor Expression in Lumbosacral Stenosis-Related Ligamentum Flavum Degeneration.Biomedicines · 2025Article
- An Optimized RNA Extraction Method From Micro-quantities of Guinea Pig Cartilage and Synovium for Osteoarthritis Research.Bio-protocol · 2025Article
- A protocol for microRNA extraction from gastrointestinal digesta.Food chemistry. Molecular sciences · 2025Article
- Advances in spatial transcriptomics and its application in the musculoskeletal system.Bone research · 2025Review
- The intersection of aging and estrogen in osteoarthritis.npj women's health · 2025Review
- Assessment of the Concentration of Transforming Growth Factor Beta 1-3 in Degenerated Intervertebral Discs of the Lumbosacral Region of the Spine.Current issues in molecular biology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
The increase in degenerative diseases involving articular cartilage has pushed research to focus on their pathogenesis and treatment, exploiting increasingly complex techniques. Gene expression analyses from tissue are representative of the in vivo situation, but the protocols to be applied to obtain a reliable analysis are not completely cleared through customs. Thus, RNA extraction from fresh samples and specifically from musculoskeletal tissue such as cartilage is still a challenging issue. The aim of the review is to provide an overview of the techniques described in the literature for RNA extraction, highlighting limits and possibilities. The research retrieved 65 papers suitable for the purposes. The results highlighted the great difficulty in comparing the different studies, both for the sources of tissue used and for the techniques employed, as well as the details about protocols. Few papers compared different RNA extraction methods or homogenization techniques; the case study reported by authors about RNA extraction from sheep cartilage has not found an analog in the literature, confirming the existence of a relevant blank on studies about RNA extraction from cartilage tissue. However, the state of the art depicted can be used as a starting point to improve and expand studies on this topic.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.