ArticlePLoS genetics2012
Systems genetic analysis of osteoblast-lineage cells.
Article in PLoS genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
39 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Meta-Analysis of Genomewide Association Studies Reveals Genetic Variants for Hip Bone Geometry.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2019Pooled it
- A State-Resolved Single-Cell and Spatial Atlas RevealsMedComm · 2026Article
- Coriander Honey Accelerates Human Osteoblast Differentiation and Matrix Mineralization via Intracellular CaPharmaceuticals (Basel, Switzerland) · 2026Article
- The role of Tmem119 in the estrogen action on bone in mice.Journal of bone and mineral metabolism · 2025Article
- Human gut microbiome gene co-expression network reveals a loss in taxonomic and functional diversity in Parkinson's disease.NPJ biofilms and microbiomes · 2025Article
- Exploring Pathogenic Genes in Frozen Shoulder through weighted gene co-expression network analysis and Mendelian Randomization.International journal of medical sciences · 2024Article
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- MicroRNA-30b Is Both Necessary and Sufficient for Interleukin-21 Receptor-Mediated Angiogenesis in Experimental Peripheral Arterial Disease.International journal of molecular sciences · 2021Article
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- Genetic analysis of osteoblast activity identifies Zbtb40 as a regulator of osteoblast activity and bone mass.PLoS genetics · 2020Article
- A road map for understanding molecular and genetic determinants of osteoporosis.Nature reviews. Endocrinology · 2020Review
- Genetic Dissection of Femoral and Tibial Microarchitecture.JBMR plus · 2019Article
- Systems genetics applications in metabolism research.Nature metabolism · 2019Review
- Transcriptional profiling of intramembranous and endochondral ossification after fracture in mice.Bone · 2019Article
- Mouse genome-wide association and systems genetics identifies Lhfp as a regulator of bone mass.PLoS genetics · 2019Article
- Dissecting the Genetics of Osteoporosis using Systems Approaches.Trends in genetics : TIG · 2019Review
- Mouse Models and Online Resources for Functional Analysis of Osteoporosis Genome-Wide Association Studies.Frontiers in endocrinology · 2019Review
- Novel insights into the genetic basis of buffalo reproductive performance.BMC genomics · 2018Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
The osteoblast-lineage consists of cells at various stages of maturation that are essential for skeletal development, growth, and maintenance. Over the past decade, many of the signaling cascades that regulate this lineage have been elucidated; however, little is known of the networks that coordinate, modulate, and transmit these signals. Here, we identify a gene network specific to the osteoblast-lineage through the reconstruction of a bone co-expression network using microarray profiles collected on 96 Hybrid Mouse Diversity Panel (HMDP) inbred strains. Of the 21 modules that comprised the bone network, module 9 (M9) contained genes that were highly correlated with prototypical osteoblast maker genes and were more highly expressed in osteoblasts relative to other bone cells. In addition, the M9 contained many of the key genes that define the osteoblast-lineage, which together suggested that it was specific to this lineage. To use the M9 to identify novel osteoblast genes and highlight its biological relevance, we knocked-down the expression of its two most connected "hub" genes, Maged1 and Pard6g. Their perturbation altered both osteoblast proliferation and differentiation. Furthermore, we demonstrated the mice deficient in Maged1 had decreased bone mineral density (BMD). It was also discovered that a local expression quantitative trait locus (eQTL) regulating the Wnt signaling antagonist Sfrp1 was a key driver of the M9. We also show that the M9 is associated with BMD in the HMDP and is enriched for genes implicated in the regulation of human BMD through genome-wide association studies. In conclusion, we have identified a physiologically relevant gene network and used it to discover novel genes and regulatory mechanisms involved in the function of osteoblast-lineage cells. Our results highlight the power of harnessing natural genetic variation to generate co-expression networks that can be used to gain insight into the function of specific cell-types.
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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.