Evidence map›Paper›PMID 10968983›Full record

ArticleBiophysical journal2000

Switching from simple to complex oscillations in calcium signaling.

U Kummer, L F Olsen, C J Dixon, A K Green, E Bornberg-Bauer, G Baier

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

47 citing papers in PubMed, 184 citations in OpenAlex.

  1. CaFrontiers in cellular neuroscience · 2025
    Review
  2. Article
  3. Article
  4. Modeling IPBiophysical journal · 2023
    Article
  5. Article
  6. Deregulation of CaInternational journal of molecular sciences · 2021
    Article
  7. Review
  8. Article
  9. IPiScience · 2020
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Evaluation of Parallel Tempering to Accelerate Bayesian Parameter Estimation in Systems Biology.Proceedings. Euromicro International Conference on Parallel, Distributed, and Network-based Processing · 2018
    Article
  17. COPASI and its applications in biotechnology.Journal of biotechnology · 2017
    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 3 countries.

U KummerEuropean Media Laboratory, 69118 Heidelberg, Germany. ursula.kummer@eml.villa-bosch.de
L F Olsen
C J Dixon
A K Green
E Bornberg-Bauer
G Baier
European Media Laboratory (Germany) · DEUniversity of Liverpool · GBUniversidad Autónoma del Estado de Morelos · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a new model for calcium oscillations based on experiments in hepatocytes. The model considers feedback inhibition on the initial agonist receptor complex by calcium and activated phospholipase C, as well as receptor type-dependent self-enhanced behavior of the activated G(alpha) subunit. It is able to show simple periodic oscillations and periodic bursting, and it is the first model to display chaotic bursting in response to agonist stimulations. Moreover, our model offers a possible explanation for the differences in dynamic behavior observed in response to different agonists in hepatocytes.

Indexed as

AequorinAnimalsCalciumCalcium SignalingCells, CulturedFeedbackHeterotrimeric GTP-Binding ProteinsKineticsLiverMaleModels, BiologicalOscillometryRatsRats, WistarType C PhospholipasesAequorinCalciumHeterotrimeric GTP-Binding ProteinsType C Phospholipases

Identifiers

PMID10968983
PMCPMC1301015
OpenAlexW2008779528

What OpenQuestion holds

Textmetadata
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.