Detection of differentially expressed genes involved in osteoarthritis pathology

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Detection of differentially expressed genes involved in osteoarthritis pathology

BACKGROUND Osteoarthritis (OA) is the most common chronic disorder of joints; however, the key genes and transcription factors (TFs) associated with OA are still unclear. Through bioinformatics tools, the study aimed to understand the mechanism of genes associated with the development of OA. METHODS Four gene expression profiling datasets were used to identify differentially expressed genes (...

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Finding Significantly Differentially Expressed Genes

Scientists are interested in how gene expression levels may vary under different treatments. They want to know which genes are expressed differently under treatment conditions and control conditions. Gene expression microarray data are modeled to find significant changes in gene expression levels between a control and treatment tissue co-hybridized on one slide. The model used is the Bayesian h...

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Hunting for differentially expressed genes.

Differentially expressed genes are usually identified by comparing steady-state mRNA concentrations. Several methods have been used for this purpose, including differential hybridization, cDNA subtraction, differential display and, more recently, DNA chips. Subtractive hybridization has significantly improved after the polymerase chain reaction was incorporated into the original method and many...

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Integrative meta-analysis of differentially expressed genes in osteoarthritis using microarray technology

The aim of the present study was to identify differentially expressed (DE) genes in patients with osteoarthritis (OA), and biological processes associated with changes in gene expression that occur in this disease. Using the INMEX (integrative meta‑analysis of expression data) software tool, a meta‑analysis of publicly available microarray Gene Expression Omnibus (GEO) datasets of OA was perfor...

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Dissection of Insertion–Deletion Variants within Differentially Expressed Genes Involved in Wood Formation in Populus

Short insertions and deletions (InDels) are one of the major genetic variants and are distributed widely across the genome; however, few investigations of InDels have been conducted in long-lived perennial plants. Here, we employed a combination of RNA-seq and population resequencing to identify InDels within differentially expressed (DE) genes underlying wood formation in a natural population ...

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ژورنال

عنوان ژورنال: Journal of Orthopaedic Surgery and Research

سال: 2018

ISSN: 1749-799X

DOI: 10.1186/s13018-018-0734-0