Can I read A source of bias in the analysis of single channel data: Assessing the apparent interaction between channel proteins on EtoBox?

A source of bias in the analysis of single channel data: Assessing the apparent interaction between channel proteins by Jodie L. Hurwitz; Margaret A. Dietz; C.Frank Starmer; Augustus O. Grant is a Medicine article available to read on EtoBox.

What is A source of bias in the analysis of single channel data: Assessing the apparent interaction between channel proteins about?

A recent study of single sodium channel currents in neuroblastoma cells suggested interaction between ion channels in close proximity to one another (T. Kiss and K. Nagy, Eur. Biophys. J. 12, 13, 1985). The opening of one channel appeared to affect the likelihood that neighboring channels might open. Some of the conclusions were based on the analysis of observed channel openings that were segregated depending on whether one channel or more than one channel was open at the same time. We hypothesized that the longer one channel remained open, the more likely another channel operating independently, would open, thereby creating the impression of an apparent coupling of channel behavior. We performed simulations and measurements of single sodium channel currents to determine whether the technique of event segregation could account for apparent channel interactions. The simulations showed that the segregation of overlapping (more than one channel open at the same time) and nonoverlapping events led to a bias in the estimated open time and the derived closing rate. To avoid the bias, we found that random pairing of opening and closing events provided an unbiased estimate of the mean clos

Who reads A source of bias in the analysis of single channel data: Assessing the apparent interaction between channel proteins?

Author

Jodie L. Hurwitz; Margaret A. Dietz; C.Frank Starmer; Augustus O. Grant

Publisher

Elsevier Science; Elsevier ; Academic Press; Elsevier BV (ISSN 0010-4809)

Published

1991

Language

EN

Field

Medicine (Health Sciences)