ArticleAdvances in experimental medicine and biology2021
Advancing Ion Channel Research with Automated Patch Clamp (APC) Electrophysiology Platforms.
Article in Advances in experimental medicine and biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- The evolution of patch-clamp electrophysiology: Robotic, multiplex, and dynamic.Molecular pharmacology · 2025Review
- From squid giant axon to automated patch-clamp: electrophysiology in venom and antivenom research.Frontiers in pharmacology · 2023Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since its development on the cusp of the new millennium, automated patch clamp (APC) technology has matured over the last two decades. The increased throughput it afforded promised a new paradigm in ion channel recordings: It offered the potential to overcome the time-consuming, low-throughput bottleneck arising from manual patch clamp (MPC) investigations. This chapter highlights the advances in technology, showing how APC platforms have 'democratised' ion channel recordings, lowering the technical bar whilst substantially raising throughput. It will describe the background of the seminal first-generation and updates on advances in second-generation platforms. Furthermore, the chapter summarises the advances APC has made in ion channel studies, including finding new tool compounds and medicines. New functionality and applications on APC platforms give ion channel researchers flexible tools to study ion channels with high quality and high throughput.
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Identifiers
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Registered trials
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.