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https://doi.org/10.5772/intech...
Part of book or chapter of book . 2024 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Patch Clamp and Ion Channel Dynamics

Authors: Amina Asghar Chaudhry; Sumaira Kanwal; Shazia Perveen;

Patch Clamp and Ion Channel Dynamics

Abstract

The automated patch-clamp approach allows researchers to directly examine drug effects on ion channels but cannot forecast sodium channel inhibitors. Created by Erwin Neher and Bert Sakmann in the 1970s, it enabled the first recording of single ion channel molecule currents increasing our understanding of channel function. The study aimed to determine the current contributions of separate ionic channels in a biological membrane using heat-polished micropipettes placed on enzyme-washed cells. The pipettes were filled with saline and had larger apertures than standard microelectrodes. The main challenge was creating an electrical seal between the membrane and pipette. The discovery that using clean pipettes and applying suction can increase the pipette membrane seal by 100–1000 is a significant advancement in this area. The membrane patch is drawn into the pipette’s interior creating an omega-shaped semi-vesicle that adheres securely to the inner pipette wall. This allows for high-resolution measurements in even the smallest cells including red blood cells. The study also explored the use of patch pipettes for studying neurotransmitters or drugs with the cell-attach patch being the most suitable method. Whole-cell patch-clamp recordings were used for detailed observations of rapid conductance alterations induced by ion channels across a neuronal membrane. Temperature, pressure, pH, ion concentration and intracellular signaling can all affect the dynamics.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
hybrid