Evidence map›Paper›PMID 24509246›Full record

ReviewCurrent opinion in structural biology2014

Computational modeling of subcellular transport and signaling.

Johan Hake, Peter M Kekenes-Huskey, Andrew D McCulloch

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

14 citing papers in PubMed.

  1. Review
  2. Review
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  4. 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

3 authors.

Johan HakeCenter for Biomedical Computing, Simula Research Laboratory, P.O. Box 134, 1325 Lysaker, Norway. Electronic address: hake@simula.no.
Peter M Kekenes-HuskeyHoward Hughes Medical Institute, University of California San Diego, CA, USA.
Andrew D McCullochDepartment of Bioengineering and Medicine, University of California San Diego, CA, USA.

Funding

Computationally designed phospholamban-SERCA for rectifying diabetic cardiomyopaF32HL114365 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KEKENES-HUSKEY, PETER MICHAEL · 2013 to 2013
$44k
Howard Hughes Medical InstituteNHLBI NIH HHS F32 HL114365
6 · The paper itself

Abstract

Numerous signaling processes in the cell are controlled in microdomains that are defined by cellular structures ranging from nm to μm in size. Recent improvements in microscopy enable the resolution and reconstruction of these micro domains, while new computational methods provide the means to elucidate their functional roles. Collectively these tools allow for a biophysical understanding of the cellular environment and its pathological progression in disease. Here we review recent advancements in microscopy, and subcellular modeling on the basis of reconstructed geometries, with a special focus on signaling microdomains that are important for the excitation contraction coupling in cardiac myocytes.

Indexed as

Computer SimulationSignal TransductionBiological TransportIntracellular SpaceMicroscopyMyocytes, Cardiac

Identifiers

PMID24509246
PMCPMC4040296

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.