RNA-seq of achilles tendon from young and old donors to study age-related changes in tendon
Ontology highlight
ABSTRACT:
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR480247_1.fastq.gz | Fastqsanger.gz | |||
| ERR480247_2.fastq.gz | Fastqsanger.gz | |||
| ERR480248_1.fastq.gz | Fastqsanger.gz | |||
| ERR480248_2.fastq.gz | Fastqsanger.gz | |||
| ERR480249_1.fastq.gz | Fastqsanger.gz |
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Project description:Tendon from young and old donors was used for RNA-Seq analysis. The aim of the study was to identify differentially expressed tendon transcripts in ageing in order to to characterize molecular mechanisms associated with age-related changes in tendon.
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Project description:We have compared the gene expression profile of rat Achilles tendon-derived stem cells in post-natal tendon development. Rat tendon stem/progenitor cells (TSPCs) were isolated at different stages of post-natal development: TSPCs-1d, TSPCs-7d and TSPCs-56d. TSPCs at different post-natal development stages (1d, 7d and 56d) were isolated, cultured and used for microarray analyses at passage 2. All TSPCs in this study were of isolated from more than one individual. Total RNA was extracted and fragmented biotin-tagged cRNA was hybridized to Rat Genome 230 2.0 Array.
2015-07-10 | E-GEOD-68485 | biostudies-arrayexpress
Project description:Achilles tendinopathy is often thought to be a consequence of overuse of the Cells within the Achilles tendon of healthy rats undergo a series of changes following physiologic levels of mechanical stimulation after running, and we further explored the transcriptome changes in Achilles tendon cells during post-exercise recovery. Our current experiment reveals RNA-seq analysis of the transcriptome of the rat Achilles tendon after 12 hours of rest following running.
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Project description:To investigate which mRNA and miRNA are involved in Dicer KO mouse tendon hypoplasticity, we performed RNA-seq and small RNA-seq using RNA from Achilles tendon of Cont (Dicer f/f), Scx HT (ScxCre/+ Knock In:Dicer +/+) and Dicer KO (ScxCre/+ Knock In:Dicer f/f) mice at 4 weeks of age. Achilles tendon from 4-week-old female mice was harvested, RNA was isolated using an RNA extraction kit. RNA libraries were generated and sequenced by K. K. DNAFORM (Tokyo, Japan). The libraries were sequenced by Illumina HISEQ4000 using Illumina provided protocol. Differential gene expression was analyzed with R Bioconductor DESeq2. We found that a large portion of tendon-fibroblast characteristic genes was downregulated in Dicer KO mice Achilles tendon compared to Cont and Scx HT.
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Project description:Healing process after connective tissues (CT) injury is complex but important as CT are critical for human moving, and patient outcome of CT injured patients is protracted with high individual variation. Specific markers which could be used for healing prognosis will be great help to monitor patient outcome, and furtherly improve target treatment and patient recovery. Although several common factors like age, gender and body mass index (BMI) were reported to predict ATR healing outcome [references], more specific markers which can be used as predictors of patient outcome after ATR are still lacking. Several biomarkers have been reported to associate with tendon healing, and indicated their relationship with patient outcome(1-4). These results highlight the potential of protein expression detection and analysis for tendon study in general and healing outcome prognosis in particular. Collagen type I (Col1a1) is the main component of Achilles tendon and plays vital role in tendon healing via involving in collagen fibrils production among tendon fibroblasts(5). Higher production of Col1a1 is associated with faster tendon repair(6), previous study on animal model reported the increased Col1a1 synthesis can exert a positive effect on tendon healing[?]. Thus, functional proteins with high impact on Col1a1 can be used not only to improve tendon healing, also can be as targets for healing improvement and outcome prediction. The proteome file of Achilles tendon which is important to increase understanding of tendon healing and help to identify accurate outcome-related biomarkers is however lagged behind. The identification of proteomic profile of Achilles tendon is very much limited in number of proteins and sample size(7-9), and is even few on human. Recent improvement in proteomic assay based on mass spectrometry (MS) made it possible to assemble the proteomic landscape of human tissues(10, 11) with high quality and sensitivity. To characterize the proteomic components in human Achilles tendon, we utilized biopsies from ATR patients with both good and poor 1-year healing outcome. A validated platform including quantitative MS and clinical database was used to identify proteomic landscape and potential bio-predictors of clinical outcome. Our study may provide a more comprehensive landscape of proteins for human Achilles tendon, as well as specific biomarkers which can be used for long term outcome prognosis after ATR.
2023-05-10 | PXD033163 | Pride