Evidence map›Paper›PMID 19754717›Full record

ReviewEvolution & development

Structural and regulatory evolution of cellular electrophysiological systems.

Barbara Rosati, David McKinnon

Abstract readReview
In one paragraph

Review in Evolution & development. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Transmural gradients in ion channel and auxiliary subunit expression.Progress in biophysics and molecular biology · 2016
    Review
  4. Article
  5. Seasonal acclimatization of the cardiac action potential in the Arctic navaga cod (Eleginus navaga, Gadidae).Journal of comparative physiology. B, Biochemical, systemic, and environmental physiology · 2014
    Article
  6. Article
  7. 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

2 authors.

Barbara RosatiDepartment of Physiology and Biophysics, Institute of Molecular Cardiology, Stony Brook University, Stony Brook, NY 11794, USA.
David McKinnon

Funding

Molecular Physiology--Control of Firing PropertiesR01NS029755 · NINDS · STATE UNIVERSITY NEW YORK STONY BROOK · PI MCKINNON, DAVID · 1992 to 2004
$1.6M
NINDS NIH HHS R01 NS029755
6 · The paper itself

Abstract

Cellular electrophysiological systems, like developmental systems, appear to evolve primarily by means of regulatory evolution. It is suggested that electrophysiological systems share two key features with developmental systems that account for this dependence on regulatory evolution. For both systems, structural evolution has the potential to create significant problems of pleiotropy and both systems are predominantly computational in nature. It is concluded that the relative balance of physical and computational tasks that a biological system has to perform, combined with the probability that these tasks may have to change significantly during the course of evolution, will be major factors in determining the relative mix of regulatory and structural evolution that is observed for a given system. Physiological systems that directly interface with the environment will almost always perform some low-level physical task. In the majority of cases this will require evolution of protein function in order for the tasks themselves to evolve. For complex physiological systems a large fraction of their function will be devoted to high-level control functions that are predominantly computational in nature. In most cases regulatory evolution will be sufficient in order for these computational tasks to evolve.

Indexed as

Cell Physiological PhenomenaEvolution, MolecularGene Expression RegulationAnimalsElectrophysiologyHumans

Identifiers

PMID19754717
PMCPMC2747049

What OpenQuestion holds

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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.