Evidence map›Paper›PMID 23328496›Full record

ArticleBone2013

Spatiotemporal properties of intracellular calcium signaling in osteocytic and osteoblastic cell networks under fluid flow.

Da Jing, X Lucas Lu, Erping Luo, Paul Sajda, Pui L Leong, X Edward Guo

Open access · greenAbstract read
In one paragraph

Article in Bone, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
7.6field-weighted citation impact, top 3% 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

27 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Biomedical materials (Bristol, England) · 2022
    Article
  9. Histamine activates an intracellular CaFrontiers in cell and developmental biology · 2022
    Article
  10. Article
  11. Review
  12. The role of physical forces in osteoclastogenesis.Journal of cellular physiology · 2019
    Review
  13. Osteocyte calcium signals encode strain magnitude and loading frequency in vivo.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  14. Article
  15. Article
  16. Connexins in the skeleton.Seminars in cell & developmental biology · 2016
    Review
  17. Frontiers in bioengineering and biotechnology · 2016
    Review
  18. Article
  19. Article
  20. Article
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

6 authors at 3 institutions in 2 countries.

Da JingDepartment of Biomedical Engineering, Fourth Military Medical University, Xi'an, Shaanxi 710032, China.
X Lucas Lu
Erping Luo
Paul Sajda
Pui L Leong
X Edward Guo
Columbia University · USAir Force Medical University · CNUniversity of Delaware · US

Funding

Mechanobiology of 3D Trabecular Bone ExplantsR01AR052461 · NIAMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI GUO, X. EDWARD · 2009 to 2014
$1.7M
Implicit Learning in Osteocyte Network under Mechanical LoadingRC1AR058453 · NIAMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI GUO, X. EDWARD · 2009 to 2010
$915k
Mechanotransduction in Osteocytic Network and OsteoblastR21AR052417 · NIAMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI GUO, X. EDWARD · 2006 to 2007
$365k
NIAMS NIH HHS R01 AR052461NIAMS NIH HHS R21 AR052417NIAMS NIH HHS RC1 AR058453
6 · The paper itself

Abstract

Mechanical stimuli can trigger intracellular calcium (Ca(2+)) responses in osteocytes and osteoblasts. Successful construction of bone cell networks necessitates more elaborate and systematic analysis for the spatiotemporal properties of Ca(2+) signaling in the networks. In the present study, an unsupervised algorithm based on independent component analysis (ICA) was employed to extract the Ca(2+) signals of bone cells in the network. We demonstrated that the ICA-based technology could yield higher signal fidelity than the manual region of interest (ROI) method. Second, the spatiotemporal properties of Ca(2+) signaling in osteocyte-like MLO-Y4 and osteoblast-like MC3T3-E1 cell networks under laminar and steady fluid flow stimulation were systematically analyzed and compared. MLO-Y4 cells exhibited much more active Ca(2+) transients than MC3T3-E1 cells, evidenced by more Ca(2+) peaks, less time to the 1st peak and less time between the 1st and 2nd peaks. With respect to temporal properties, MLO-Y4 cells demonstrated higher spike rate and Ca(2+) oscillating frequency. The spatial intercellular synchronous activities of Ca(2+) signaling in MLO-Y4 cell networks were higher than those in MC3T3-E1 cell networks and also negatively correlated with the intercellular distance, revealing faster Ca(2+) wave propagation in MLO-Y4 cell networks. Our findings show that the unsupervised ICA-based technique results in more sensitive and quantitative signal extraction than traditional ROI analysis, with the potential to be widely employed in Ca(2+) signaling extraction in the cell networks. The present study also revealed a dramatic spatiotemporal difference in Ca(2+) signaling for osteocytic and osteoblastic cell networks in processing the mechanical stimulus. The higher intracellular Ca(2+) oscillatory behaviors and intercellular coordination of MLO-Y4 cells provided further evidences that osteocytes may behave as the major mechanical sensor in bone modeling and remodeling processes.

Indexed as

AnimalsCalcium SignalingCell CommunicationCell LineMiceOsteoblastsOsteocytesSignal TransductionSpatio-Temporal Analysis

Identifiers

PMID23328496
PMCPMC3594508
OpenAlexW2108937273

What OpenQuestion holds

Textmetadata
LicenceTDM
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.