Evidence map›Paper›PMID 23300464›Full record

ArticlePLoS genetics2012

Systems genetic analysis of osteoblast-lineage cells.

Gina Calabrese, Brian J Bennett, Luz Orozco, Hyun M Kang, Eleazar Eskin, Carlos Dombret, Olivier De Backer, Aldons J Lusis, Charles R Farber

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. 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 · 2019
    Pooled it
  2. Article
  3. Article
  4. The role of Tmem119 in the estrogen action on bone in mice.Journal of bone and mineral metabolism · 2025
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Gina CalabreseCenter for Public Health Genomics, University of Virginia, Charlottesville, Virginia, United States of America.
Brian J Bennett
Luz Orozco
Hyun M Kang
Eleazar Eskin
Carlos Dombret
Olivier De Backer
Aldons J Lusis
Charles R Farber

Funding

ULTRASTRUCTURE OF THE INTIMA IN EARLY LESION FORMATIONP01HL030568 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FOGELMAN, ALAN M · 1985 to 2019
$55.2M
Systems genomics of metabolic syndrome traitsP01HL028481 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI REUE, KAREN · 1985 to 2019
$50.2M
Discovery of Bone Formation Genes through Integrative GenomicsR01AR057759 · NIAMS · UNIVERSITY OF VIRGINIA · PI FARBER, CHARLES R · 2011 to 2015
$1.7M
NHLBI NIH HHS P01 HL028481NHLBI NIH HHS P01 HL030568NHLBI NIH HHS P01 HL28481NHLBI NIH HHS P01 HL30568NIAMS NIH HHS R01 AR057759
6 · The paper itself

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.

Indexed as

Gene Expression Regulation, DevelopmentalGene Regulatory NetworksOsteoblastsAnimalsBone DensityCell LineCell LineageGenome-Wide Association StudyHumansIntercellular Signaling Peptides and ProteinsMembrane ProteinsMiceNeoplasm ProteinsOligonucleotide Array Sequence AnalysisQuantitative Trait LociSecreted Frizzled-Related ProteinsIntercellular Signaling Peptides and ProteinsMaged1 protein, mouseMembrane ProteinsNeoplasm ProteinsSecreted Frizzled-Related ProteinsSfrp1 protein, mouseWnt1 Protein

Identifiers

PMID23300464
PMCPMC3531492

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.