ArticleFrontiers in cell and developmental biology2020
Identification and Analysis of Genes Underlying Bone Mineral Density by Integrating Microarray Data of Osteoporosis.
Article in Frontiers in cell and developmental biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- A multiethnic whole genome sequencing study to identify novel loci for bone mineral density.Human molecular genetics · 2022Pooled it
- Causal effects and mediation pathways of circulating plasma proteins on osteoporosis: a two-sample and two-step Mendelian randomization study.Clinical proteomics · 2025Article
- ZFP36, an RNA-binding protein promotes hBMSCs osteogenic differentiation via binding with JUN.Journal of orthopaedic surgery and research · 2024Article
- Multi-omics Analysis to Identify Key Immune Genes for Osteoporosis based on Machine Learning and Single-cell Analysis.Orthopaedic surgery · 2024Article
- Physiological and transcriptomic analysis dissects the molecular mechanism governing meat quality during postmortem aging in Hu sheep (Frontiers in nutrition · 2023Article
- Prognostic analysis and validation of diagnostic marker genes in patients with osteoporosis.Frontiers in immunology · 2022Article
- Identification of ferroptosis-associated biomarkers for the potential diagnosis and treatment of postmenopausal osteoporosis.Frontiers in endocrinology · 2022Article
- Screening of Important Markers in Peripheral Blood Mononuclear Cells to Predict Female Osteoporosis Risk Using LASSO Regression Algorithm and SVM Method.Evolutionary bioinformatics online · 2022Article
- Integrative analysis of genomic and epigenomic data reveal underlying superenhancer-mediated microRNA regulatory network for human bone mineral density.Human molecular genetics · 2021Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Osteoporosis is a kind of brittle bone disease, which is characterized by a reduction in bone mineral density (BMD). In recent years, a number of genes and pathophysiological mechanisms have been identified for osteoporosis. However, the genes associated with BMD remain to be explored. Toward this end, we integrated multiple osteoporosis microarray datasets to identify and systematically characterize BMD-related genes. By integrating the differentially expressed genes from three osteoporosis microarray datasets, 152 genes show differentially expressed between high and low BMD osteoporosis samples in at least two of the three datasets. Among them, 88 were up-regulated in high BMD samples and 64 were up-regulated in low BMD samples. The expression of ZFP36, JUNB and TMEM8A were increased at high BMD samples in all three datasets. Hub genes were further identified by co-expression network analysis. Functional enrichment analysis showed that the gene up-regulated in high BMD were enriched in immune-related functions, suggesting that the immune system plays an important role in osteoporosis. Our study explored BMD-related genes based on the integration of osteoporosis microarray data, providing guidance to other researchers from a new perspective.
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