Evidence map›Paper›PMID 27409243›Full record

ArticlePLoS computational biology2016

A Computational Modeling and Simulation Approach to Investigate Mechanisms of Subcellular cAMP Compartmentation.

Pei-Chi Yang, Britton W Boras, Mao-Tsuen Jeng, Steffen S Docken, Timothy J Lewis, Andrew D McCulloch, Robert D Harvey, Colleen E Clancy

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
3.5field-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

35 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. A multiscale model of the regulation of aquaporin 2 recycling.NPJ systems biology and applications · 2022
    Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Lighting Up CaCells · 2021
    Review
  15. Compartmentation of βBritish journal of pharmacology · 2021
    Article
  16. Review
  17. cAMP Buffering via Liquid-Liquid Phase Separation.Function (Oxford, England) · 2021
    Article
  18. Article
  19. Article
  20. Regulating cellular cyclic adenosine monophosphate: "Sources," "sinks," and now, "tunable valves".Wiley interdisciplinary reviews. Systems biology and medicine · 2020
    Review
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

8 authors at 3 institutions in 1 country.

Pei-Chi YangDepartment of Pharmacology, University of California Davis, Davis, California, United States of America.
Britton W BorasDepartment of Biomedical Engineering, University of California San Diego, La Jolla, California, United States of America.
Mao-Tsuen JengDepartment of Pharmacology, University of California Davis, Davis, California, United States of America.
Steffen S DockenDepartment of Pharmacology, University of California Davis, Davis, California, United States of America.ORCID 0000-0003-3771-5504
Timothy J LewisDepartment of Mathematics, University of California Davis, Davis, California, United States of America.
Andrew D McCullochDepartment of Biomedical Engineering, University of California San Diego, La Jolla, California, United States of America.
Robert D HarveyDepartment of Pharmacology, Center for Molecular Medicine, School of Medicine, University of Nevada Reno, Reno, Nevada, United States of America.
Colleen E ClancyDepartment of Pharmacology, University of California Davis, Davis, California, United States of America.
University of California, Davis · USUniversity of California San Diego · USUniversity of Nevada, Reno · US

Funding

VISUALIZATION TOOLS FOR AUTOMATED MOLECULAR MICROSCOPYP41RR008605 · NCRR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PAPADOPOULOS, PHILIP · 1994 to 2011
$28.1M
National Biomedical Computation Resource - Competitive Revision SupplementP41GM103426 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI AMARO, ROMMIE E · 2012 to 2019
$14.0M
Predictive multiscale in silico cardio-pharmacologyU01HL126273 · NHLBI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CLANCY, COLLEEN E · 2015 to 2019
$3.8M
Integrative Bioengineering of Heart, Vessels, and BloodT32HL105373 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHIEN, SHU, INTAGLIETTA, MARCOS · 2010 to 2019
$3.6M
Multi-scale Systems Model of Murine Heart FailureR01HL105242 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BERS, DONALD M, MCCULLOCH, ANDREW D. · 2012 to 2016
$3.5M
Mechanisms of cAMP CompartmentationR01GM101928 · NIGMS · UNIVERSITY OF NEVADA RENO · PI HARVEY, ROBERT D · 2012 to 2015
$1.1M
NCRR NIH HHS P41 RR008605NHLBI NIH HHS R01 HL105242NHLBI NIH HHS U01 HL126273NIGMS NIH HHS P41 GM103426NIGMS NIH HHS R01 GM101928
6 · The paper itself

Abstract

Subcellular compartmentation of the ubiquitous second messenger cAMP has been widely proposed as a mechanism to explain unique receptor-dependent functional responses. How exactly compartmentation is achieved, however, has remained a mystery for more than 40 years. In this study, we developed computational and mathematical models to represent a subcellular sarcomeric space in a cardiac myocyte with varying detail. We then used these models to predict the contributions of various mechanisms that establish subcellular cAMP microdomains. We used the models to test the hypothesis that phosphodiesterases act as functional barriers to diffusion, creating discrete cAMP signaling domains. We also used the models to predict the effect of a range of experimentally measured diffusion rates on cAMP compartmentation. Finally, we modeled the anatomical structures in a cardiac myocyte diad, to predict the effects of anatomical diffusion barriers on cAMP compartmentation. When we incorporated experimentally informed model parameters to reconstruct an in silico subcellular sarcomeric space with spatially distinct cAMP production sites linked to caveloar domains, the models predict that under realistic conditions phosphodiesterases alone were insufficient to generate significant cAMP gradients. This prediction persisted even when combined with slow cAMP diffusion. When we additionally considered the effects of anatomic barriers to diffusion that are expected in the cardiac myocyte dyadic space, cAMP compartmentation did occur, but only when diffusion was slow. Our model simulations suggest that additional mechanisms likely contribute to cAMP gradients occurring in submicroscopic domains. The difference between the physiological and pathological effects resulting from the production of cAMP may be a function of appropriate compartmentation of cAMP signaling. Therefore, understanding the contribution of factors that are responsible for coordinating the spatial and temporal distribution of cAMP at the subcellular level could be important for developing new strategies for the prevention or treatment of unfavorable responses associated with different disease states.

Indexed as

Computer SimulationAnimalsCells, CulturedComputational BiologyCyclic AMPIntracellular SpaceMiceMyocytes, CardiacPhosphoric Diester HydrolasesSignal TransductionCyclic AMPPhosphoric Diester Hydrolases

Identifiers

PMID27409243
PMCPMC4943723
OpenAlexW2471438143

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.