Evidence map›Paper›PMID 15681645›Full record

ArticleBiophysical journal2005

A model-independent algorithm to derive Ca2+ fluxes underlying local cytosolic Ca2+ transients.

Alejandra C Ventura, Luciana Bruno, Angelo Demuro, Ian Parker, Silvina Ponce Dawson

Abstract read
In one paragraph

Article in Biophysical journal, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Inverse problems in neuronal calcium signaling.Journal of mathematical biology · 2013
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

5 authors.

Alejandra C VenturaDepartamento de Física, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina.
Luciana Bruno
Angelo Demuro
Ian Parker
Silvina Ponce Dawson

Funding

Multi-scale observation and modeling of IP3/Ca signalingR01GM065830 · NIGMS · UNIVERSITY OF CALIF-LOS ALAMOS NAT LAB · PI MAK, DON-ON DANIEL, PARKER, IAN · 2002 to 2017
$10.7M
NIGMS NIH HHS R01 GM065830
6 · The paper itself

Abstract

Local intracellular Ca(2+) signals result from Ca(2+) flux into the cytosol through individual channels or clusters of channels. To gain a mechanistic understanding of these events we need to know the magnitude and spatial distribution of the underlying Ca(2+) flux. However, this is difficult to infer from fluorescence Ca(2+) images because the distribution of Ca(2+)-bound dye is affected by poorly characterized processes including diffusion of Ca(2+) ions, their binding to mobile and immobile buffers, and sequestration by Ca(2+) pumps. Several methods have previously been proposed to derive Ca(2+) flux from fluorescence images, but all require explicit knowledge or assumptions regarding these processes. We now present a novel algorithm that requires few assumptions and is largely model-independent. By testing the algorithm with both numerically generated image data and experimental images of sparklets resulting from Ca(2+) flux through individual voltage-gated channels, we show that it satisfactorily reconstructs the magnitude and time course of the underlying Ca(2+) currents.

Indexed as

AlgorithmsAnimalsBiophysical PhenomenaBiophysicsBuffersCalciumCalcium ChannelsCalcium SignalingCytosolFluorescent DyesIonsKineticsMicroscopy, FluorescenceModels, TheoreticalOocytesProtein BindingBuffersCalciumCalcium ChannelsFluorescent DyesIons

Identifiers

PMID15681645
PMCPMC1305340

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.