Evidence map›Paper›PMID 18040060›Full record

ArticleThe Journal of general physiology2007

Voltage-dependent dynamic FRET signals from the transverse tubules in mammalian skeletal muscle fibers.

Marino DiFranco, Joana Capote, Marbella Quiñonez, Julio L Vergara

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of general physiology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
1.5field-weighted citation impact, top 21% 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

32 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
  2. Article
  3. A dark quencher genetically encodable voltage indicator (dqGEVI) exhibits high fidelity and speed.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  4. Relative positioning of Kv11.1 (hERG) KScientific reports · 2018
    Article
  5. Review
  6. Article
  7. Article
  8. Genetically Encoded Voltage Indicators in Circulation Research.International journal of molecular sciences · 2015
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. A shortcut to a skeletal muscle DHPR knock-in?The Journal of physiology · 2011
    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

4 authors at 1 institution in 1 country.

Marino DiFrancoDepartment of Physiology, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, CA 90095, USA.
Joana Capote
Marbella Quiñonez
Julio L Vergara
University of California, Los Angeles · US

Funding

Excitation-Contraction Coupling in Normal and Dystrophic Mammalian MuscleR01AR047664 · NIAMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI VERGARA, JULIO L · 2003 to 2013
$2.7M
Mammalian skeletal muscle: a recombinant protein factoryR21GM074706 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI VERGARA, JULIO L · 2005 to 2006
$339k
Excitation-contraction Coupling in Normal and Dystrophic Mammalian MuscleR56AR047664 · NIAMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI VERGARA, JULIO L · 2008 to 2008
$339k
NIAMS NIH HHS AR 047664NIAMS NIH HHS R01 AR047664NIAMS NIH HHS R56 AR047664NIGMS NIH HHS GM 074706NIGMS NIH HHS R21 GM074706
6 · The paper itself

Abstract

Two hybrid voltage-sensing systems based on fluorescence resonance energy transfer (FRET) were used to record membrane potential changes in the transverse tubular system (TTS) and surface membranes of adult mice skeletal muscle fibers. Farnesylated EGFP or ECFP (EGFP-F and ECFP-F) were used as immobile FRET donors, and either non-fluorescent (dipicrylamine [DPA]) or fluorescent (oxonol dye DiBAC(4)(5)) lipophilic anions were used as mobile energy acceptors. Flexor digitorum brevis (FDB) muscles were transfected by in vivo electroporation with pEGFP-F and pECFP-F. Farnesylated fluorescent proteins were efficiently expressed in the TTS and surface membranes. Voltage-dependent optical signals resulting from resonance energy transfer from fluorescent proteins to DPA were named QRET transients, to distinguish them from FRET transients recorded using DiBAC(4)(5). The peak DeltaF/F of QRET transients elicited by action potential stimulation is twice larger in fibers expressing ECFP-F as those with EGFP-F (7.1% vs. 3.6%). These data provide a unique experimental demonstration of the importance of the spectral overlap in FRET. The voltage sensitivity of QRET and FRET signals was demonstrated to correspond to the voltage-dependent translocation of the charged acceptors, which manifest as nonlinear components in current records. For DPA, both electrical and QRET data were predicted by radial cable model simulations in which the maximal time constant of charge translocation was 0.6 ms. FRET signals recorded in response to action potentials in fibers stained with DiBAC(4)(5) exhibit DeltaF/F amplitudes as large as 28%, but their rising phase was slower than those of QRET signals. Model simulations require a time constant for charge translocation of 1.6 ms in order to predict current and FRET data. Our results provide the basis for the potential use of lipophilic ions as tools to test for fast voltage-dependent conformational changes of membrane proteins in the TTS.

Indexed as

Action PotentialsAlgorithmsAnimalsCell MembraneData Interpretation, StatisticalElectrophysiologyFluorescence Resonance Energy TransferFluorescent DyesGene Expression RegulationGreen Fluorescent ProteinsMembrane PotentialsMiceMice, Inbred C57BLMicrotubulesMuscle Fibers, SkeletalMuscle, Skeletalenhanced green fluorescent proteinFluorescent DyesGreen Fluorescent Proteins

Identifiers

PMID18040060
PMCPMC2151662
OpenAlexW1992866186

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.