ArticleCalcified tissue international2018
Transcriptomic Data Identified Key Transcription Factors for Osteoporosis in Caucasian Women.
Article in Calcified tissue international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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.
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Who cites it
16 citing papers in PubMed, 21 citations in OpenAlex.
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- Transcription factor SMAD5 upregulates ALG5 to alleviate osteoporosis development by inducing osteogenic differentiation.Journal of orthopaedics · 2025Article
- Identification of shared lactylation-related gene signatures between osteoporosis and chronic kidney disease.Frontiers in cell and developmental biology · 2025Article
- Multi-omics Analysis to Identify Key Immune Genes for Osteoporosis based on Machine Learning and Single-cell Analysis.Orthopaedic surgery · 2024Article
- In-silico analysis predicts disruption of normal angiogenesis as a causative factor in osteoporosis pathogenesis.BMC genomic data · 2024Article
- The role and mechanism of β-catenin-mediated skeletal muscle satellite cells in osteoporotic fractures by Jian-Pi-Bu-Shen formula.Journal of molecular histology · 2024Article
- Unique expression and critical role of metallothionein 3 in the control of osteoclastogenesis and osteoporosis.Experimental & molecular medicine · 2024Article
- Development and experimental validation of an energy metabolism-related gene signature for diagnosing of osteoporosis.Scientific reports · 2024Article
- Investigating the impact of Wnt pathway-related genes on biomarker and diagnostic model development for osteoporosis in postmenopausal females.Scientific reports · 2024Article
- Identification of potential pathogenic genes related to osteoporosis and osteoarthritis.Technology and health care : official journal of the European Society for Engineering and Medicine · 2024Article
- Single-cell RNA sequencing revealsFrontiers in endocrinology · 2023Article
- Metformin alleviates bone loss in ovariectomized mice through inhibition of autophagy of osteoclast precursors mediated by E2F1.Cell communication and signaling : CCS · 2022Article
- Typing characteristics of metabolism-related genes in osteoporosis.Frontiers in pharmacology · 2022Article
- In Silico Network Analysis of Ingredients of Cornus officinalis in Osteoporosis.Medical science monitor : international medical journal of experimental and clinical research · 2021Article
- Integrative Analysis of Genomics and Transcriptome Data to Identify Regulation Networks in Female Osteoporosis.Frontiers in genetics · 2020Article
- Identification and Analysis of Genes Underlying Bone Mineral Density by Integrating Microarray Data of Osteoporosis.Frontiers in cell and developmental biology · 2020Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Osteoporosis is a prevalent bone metabolic disease, mainly caused by excessive bone resorption (by osteoclasts) over bone formation (by osteoblasts). Identifying the key transcription factors and understanding the regulatory network influencing osteoclastogenesis will be helpful to explore the potential biological mechanism for osteoporosis. In our study, peripheral blood monocyte (PBM) was used as a cell model for bone mineral density (BMD) research. PBMs serve as progenitors of osteoclasts and produce important cytokines for osteoclastogenesis. In our study, via exon arrays, gene expression profiles of PBMs were analyzed between high versus low hip BMD groups. Transcription factors for differentially expressed genes were then predicted based on the enrichment analysis. We found that 591 genes were differentially expressed between the two BMD groups (nominally significant, raw p value < 0.05). For high BMD subjects, 482 genes were up-regulated and 109 genes were down-regulated. We then found 29 potential transcription factors for up-regulated genes and nine transcription factors for down-regulated genes. Among these transcription factors, HMGA1 and NFKB2 were differentially expressed between high versus low BMD groups. In addition, their regulation types with their target genes were consistent with the information from public databases. Our findings of key transcription factors and their target genes for osteoporosis were further validated by GWAS analysis. Overall, we predicted important transcription factors for osteoporosis. We were also able to infer the regulatory mechanism that exists between transcription factors and target genes in bone metabolism.
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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.