Evidence map›Paper›PMID 15240504›Full record

ArticleBiophysical journal2004

Determination of cell capacitance using the exact empirical solution of partial differential Y/partial differential Cm and its phase angle.

Joseph Santos-Sacchi

Abstract read
In one paragraph

Article in Biophysical journal, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Role of Ribeye PXDLS/T-binding cleft in normal synaptic ribbon function.bioRxiv : the preprint server for biology · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. The Frequency Response of Outer Hair Cell Voltage-Dependent Motility Is Limited by Kinetics of Prestin.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

1 author.

Joseph Santos-SacchiOtolaryngology and Neurobiology, Yale University School of Medicine, New Haven, Connecticut 06510, USA. joseph.santos-sacchi@yale.edu

Funding

MEMBRANES PROPERTIES OF CELLS COMPRISING THE OHC SYSTEMR01DC000273 · NIDCD · YALE UNIVERSITY · PI SANTOS-SACCHI, JOSEPH R · 1989 to 2015
$6.8M
NIDCD NIH HHS DC00273NIDCD NIH HHS R01 DC000273
6 · The paper itself

Abstract

Measures of membrane capacitance offer insight into a variety of cellular processes. Unfortunately, popular methodologies rely on model simplifications that sensitize them to interference from inevitable changes in resistive components of the traditional cell-clamp model. Here I report on a novel method to measure membrane capacitance that disposes of the usual simplifications and assumptions, yet is immune to such interference and works on the millisecond timescale. It is based on the exact empirical determination of the elusive partial derivative, partial differential Y/partial differential C(m), which heretofore had been approximated. Furthermore, I illustrate how this method extends to the vesicle fusion problem by permitting the determination of partial differential Y(v)/partial differential C(v), thereby providing estimates of fusion pore conductance and vesicle capacitance. Finally, I provide simulation examples and physiological examples of how the method can be used to study processes that are routinely interrogated by measures of membrane capacitance.

Indexed as

AlgorithmsCell MembraneComputer SimulationElectric CapacitanceModels, Theoretical

Identifiers

PMID15240504
PMCPMC1304394

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.