ArticleSmall (Weinheim an der Bergstrasse, Germany)2018
Characterization of Membrane Patch-Ion Channel Probes for Scanning Ion Conductance Microscopy.
Article in Small (Weinheim an der Bergstrasse, Germany), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
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.
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Who cites it
5 citing papers in PubMed.
- Opto-SICM framework combines optogenetics with scanning ion conductance microscopy for probing cell-to-cell contacts.Communications biology · 2023Article
- The New Era of High-Throughput Nanoelectrochemistry.Analytical chemistry · 2023Review
- Scanning Ion Conductance Microscopy.Chemical reviews · 2021Review
- Asymmetric distribution of dynamin-2 and β-catenin relative to tight junction spikes in alveolar epithelial cells.Tissue barriers · 2021Article
- Imaging with Ion Channels.Analytical chemistry · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Integration of dual-barrel membrane patch-ion channel probes (MP-ICPs) to scanning ion conductance microscopy (SICM) holds promise of providing a revolutionized approach of spatially resolved chemical sensing. A series of experiments are performed to further the understanding of the system and to answer some fundamental questions, in preparation for future developments of this approach. First, MP-ICPs are constructed that contain different types of ion channels including transient receptor potential vanilloid 1 and large conductance Ca2
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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.