ReviewPhysiology (Bethesda, Md.)2009
Engineering proteins for custom inhibition of Ca(V) channels.
Review in Physiology (Bethesda, Md.), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed.
- Design and Applications of Genetically-Encoded Voltage-Dependent Calcium Channel Inhibitors.Handbook of experimental pharmacology · 2023Review
- Designer genetically encoded voltage-dependent calcium channel inhibitors inspired by RGK GTPases.The Journal of physiology · 2020Review
- Engineering selectivity into RGK GTPase inhibition of voltage-dependent calcium channels.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Similar molecular determinants on Rem mediate two distinct modes of inhibition of CaChannels (Austin, Tex.) · 2016Article
- Functional assessment of three Rem residues identified as critical for interactions with Ca(2+) channel β subunits.Pflugers Archiv : European journal of physiology · 2015Article
- Ion channel engineering: perspectives and strategies.Journal of molecular biology · 2015Review
- Regulation of voltage-dependent calcium channels by RGK proteins.Biochimica et biophysica acta · 2013Review
- Bio-inspired voltage-dependent calcium channel blockers.Nature communications · 2013Article
- Distinct RGK GTPases differentially use α1- and auxiliary β-binding-dependent mechanisms to inhibit CaV1.2/CaV2.2 channels.PloS one · 2012Article
- Gαi2- and Gαi3-specific regulation of voltage-dependent L-type calcium channels in cardiomyocytes.PloS one · 2011Article
- Rem, a member of the RGK GTPases, inhibits recombinant CaV1.2 channels using multiple mechanisms that require distinct conformations of the GTPase.The Journal of physiology · 2010Article
- Progress in the structural understanding of voltage-gated calcium channel (CaV) function and modulation.Channels (Austin, Tex.)Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The influx of Ca(2+) ions through voltage-dependent calcium (Ca(V)) channels links electrical signals to physiological responses in all excitable cells. Not surprisingly, blocking Ca(V) channel activity is a powerful method to regulate the function of excitable cells, and this is exploited for both physiological and therapeutic benefit. Nevertheless, the full potential for Ca(V) channel inhibition is not being realized by currently available small-molecule blockers or second-messenger modulators due to limitations in targeting them either to defined groups of cells in an organism or to distinct subcellular regions within a single cell. Here, we review early efforts to engineer protein molecule blockers of Ca(V) channels to fill this crucial niche. This technology would greatly expand the toolbox available to physiologists studying the biology of excitable cells at the cellular and systems level.
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What OpenQuestion holds
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.