Protein interaction and microRNA network analysis in osteoarthritis meniscal cells.

نویسندگان

  • M Wang
  • C Liu
  • Y Zhang
  • Y Hao
  • X Zhang
  • Y M Zhang
چکیده

Osteoarthritis is the most common form of arthritis among elderly adults. Herein, we performed protein-protein interaction (PPI) and miRNA network analysis to evaluate the global correlation between miRNA regulation and the PPI network in human osteoarthritis. Our results showed that desmoplakin (DSP), cystatin A (CSTA), calmodulin 1, tyrosine kinase endothelial, insulin-like growth factor 1 (IGF-1), IGF-binding protein 7 (IGFBP7), syndecan 1 (SDC1), ephrin type-A receptor 4, and PDZ and LIM domain protein 1 were associated with osteoarthritis. Among these proteins, DSP and CSTA interaction and IGF-1, IGFBP7 and SDC1 interaction were observed in our PPI network. Furthermore, these potential target proteins were also linked with individual miRNA in the network. Our findings shed light on the PPIs and mechanisms by which miRNA may regulate the protein interaction network in osteoarthritis, which might provide theoretical support for further studies aimed at discovering new therapeutic strategies.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Construction and Analysis of Tissue-Specific Protein-Protein Interaction Networks in Humans

We have studied the changes in protein-protein interaction network of 38 different tissues of the human body. 123 gene expression samples from these tissues were used to construct human protein-protein interaction network. This network is then pruned using the gene expression samples of each tissue to construct different protein-protein interaction networks corresponding to different studied ti...

متن کامل

Gene Regulation Network Based Analysis Associated with TGF-beta Stimulation in Lung Adenocarcinoma Cells

Background: Transforming growth factor (TGF)-β is over-expressed in a wide variety of cancers such as lung adenocarcinoma. TGF-β plays a major role in cancer progression through regulating cancer cell proliferation and remodeling of the tumor micro-environment. However, it is still a great challenge to explain the phenotypic effects caused by TGF-β stimulation and the effect of TGF-β stimulatio...

متن کامل

Evaluation of Protein Complexes in Muscular Atrophy Using Interaction Map Analysis

Background and purpose: Muscular atrophy is a condition derived from different diseases and aging. Molecular study of the disease condition can help in developing diagnostic methods and treatment approaches. In this study, protein interaction network was analyzed to understand molecular events at protein levels. Materials and methods: In this experimental study, the network was constructed and...

متن کامل

Using the Protein-protein Interaction Network to Identifying the Biomarkers in Evolution of the Oocyte

Background Oocyte maturity includes nuclear and cytoplasmic maturity, both of which are important for embryo fertilization. The development of oocyte is not limited to the period of follicular growth, and starts from the embryonic period and continues throughout life. In this study, for the purpose of evaluating the effect of the FSH hormone on the expression of genes, GEO access codes for this...

متن کامل

Prediction of Coffee Effects in Rats with Healthy and NAFLD Conditions Based on Protein-Protein Interaction Network Analysis

Background and objectives: Non-alcoholic fatty liver disease (NAFLD) is a common liver condition. On the other hand, coffee consumption has shown promising for gastrointestinal diseases.  Detection of the most valuable biomarkers of decaffeinated coffee treatment in healthy and non-alcoholic fatty liver disease conditions was the aim of the present study. Methods:</stro...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Genetics and molecular research : GMR

دوره 12 1  شماره 

صفحات  -

تاریخ انتشار 2013