Evidence map›Paper›PMID 21605425›Full record

ArticleBMC systems biology2011

Time series gene expression profiling and temporal regulatory pathway analysis of BMP6 induced osteoblast differentiation and mineralization.

Weijun Luo, Michael S Friedman, Kurt D Hankenson, Peter J Woolf

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 30% of its field
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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Cellular biology of fracture healing.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2019
    Review
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  8. 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

4 authors at 4 institutions in 1 country.

Weijun LuoDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
Michael S Friedman
Kurt D Hankenson
Peter J Woolf
Cold Spring Harbor Laboratory · USThermoGenesis (United States) · USUniversity of Michigan–Ann Arbor · USUniversity of Pennsylvania · US

Funding

Nation Center- Integrative Biomedical Informatics(RMI)U54DA021519 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ATHEY, BRIAN DAVID · 2005 to 2010
$21.3M
Endosteal Adipose in Age-Associated OsteopeniaR01AR054714 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI HANKENSON, KURT DAVID · 2006 to 2010
$1.9M
BMP6 Induction of Human Mesenchymal Stem Cell Osteoblast DifferentiationR01DE017471 · NIDCR · UNIVERSITY OF PENNSYLVANIA · PI HANKENSON, KURT DAVID · 2006 to 2010
$1.9M
Matricellular Proteins and Mesenchymal Stem CellsR01AR049682 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI HANKENSON, KURT DAVID · 2002 to 2006
$1.2M
NIAMS NIH HHS R01 AR049682NIAMS NIH HHS R01 AR054714NIDA NIH HHS U54-DA-021519NIDCR NIH HHS R01 DE017471
6 · The paper itself

Abstract

backgroundBMP6 mediated osteoblast differentiation plays a key role in skeletal development and bone disease. Unfortunately, the signaling pathways regulated by BMP6 are largely uncharacterized due to both a lack of data and the complexity of the response.

resultsTo better characterize the signaling pathways responsive to BMP6, we conducted a time series microarray study to track BMP6 induced osteoblast differentiation and mineralization. These temporal data were analyzed using a customized gene set analysis approach to identify temporally coherent sets of genes that act downstream of BMP6. Our analysis identified BMP6 regulation of previously reported pathways, such as the TGF-beta pathway. We also identified previously unknown connections between BMP6 and pathways such as Notch signaling and the MYB and BAF57 regulatory modules. In addition, we identify a super-network of pathways that are sequentially activated following BMP6 induction.

conclusionIn this work, we carried out a microarray-based temporal regulatory pathway analysis of BMP6 induced osteoblast differentiation and mineralization using GAGE method. This novel temporal analysis is more informative and powerful than the classical static pathway analysis in that: (1) it captures the interconnections between signaling pathways or functional modules and demonstrates the even higher level organization of molecular biological systems; (2) it describes the temporal perturbation patterns of each pathway or module and their dynamic roles in osteoblast differentiation. The same set of experimental and computational strategies employed in our work could be useful for studying other complex biological processes.

Indexed as

Gene Expression RegulationAlgorithmsBone Morphogenetic Protein 6Cell DifferentiationComputational BiologyGene Expression ProfilingHumansModels, BiologicalModels, GeneticModels, StatisticalOligonucleotide Array Sequence AnalysisOsteoblastsReceptors, NotchSignal TransductionSystems BiologyTime FactorsBMP6 protein, humanBone Morphogenetic Protein 6Receptors, Notch

Identifiers

PMID21605425
PMCPMC3126716
OpenAlexW1976241159

What OpenQuestion holds

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LicenceCC BY
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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.