ArticleScientific reports2017
Multiplexed Exchange-PAINT imaging reveals ligand-dependent EGFR and Met interactions in the plasma membrane.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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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
19 citing papers in PubMed, 37 citations in OpenAlex.
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- Celebrating the Birthday of AMPA Receptor Nanodomains: Illuminating the Nanoscale Organization of Excitatory Synapses with 10 Nanocandles.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Review
- The role and mechanism of "eight famous herbals in Zhejiang" in cancer via network pharmacology and experimental validation.Frontiers in oncology · 2024Article
- Super-resolution microscopy to study membrane nanodomains and transport mechanisms in the plasma membrane.Frontiers in molecular biosciences · 2024Review
- Small Fluorogenic Amino Acids for Peptide-Guided Background-Free Imaging.Angewandte Chemie (International ed. in English) · 2023Article
- Small Fluorogenic Amino Acids for Peptide-Guided Background-Free Imaging.Angewandte Chemie (Weinheim an der Bergstrasse, Germany) · 2023Article
- High-precision estimation of emitter positions using Bayesian grouping of localizations.Nature communications · 2022Article
- Functional signaling test identifies HER2 negative breast cancer patients who may benefit from c-Met and pan-HER combination therapy.Cell communication and signaling : CCS · 2022Article
- Seeing beyond the limit: A guide to choosing the right super-resolution microscopy technique.The Journal of biological chemistry · 2021Review
- When the MET receptor kicks in to resist targeted therapies.Oncogene · 2021Review
- Challenges facing quantitative large-scale optical super-resolution, and some simple solutions.iScience · 2021Review
- Improved resolution in single-molecule localization microscopy using QD-PAINT.Experimental & molecular medicine · 2021Article
- Toward Sub-Diffraction Imaging of Single-DNA Molecule Sensors Based on Stochastic Switching Localization Microscopy.Sensors (Basel, Switzerland) · 2020Review
- Profiling Cell Signaling Networks at Single-cell Resolution.Molecular & cellular proteomics : MCP · 2020Review
- Single-Molecule Super-Resolution Microscopy Reveals Heteromeric Complexes of MET and EGFR upon Ligand Activation.International journal of molecular sciences · 2020Article
- Using an RNA aptamer probe for super-resolution imaging of native EGFR.Nanoscale advances · 2019Article
- Review
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
Abstract
Signal transduction by receptor tyrosine kinases (RTKs) involves complex ligand- and time-dependent changes in conformation and modification state. High resolution structures are available for individual receptors dimers, but less is known about receptor clusters that form in plasma membranes composed of many different RTKs with the potential to interact. We report the use of multiplexed super-resolution imaging (Exchange-PAINT) followed by mean-shift clustering and random forest analysis to measure the precise distributions of five receptor tyrosine kinases (RTKs) from the ErbB, IGF-1R and Met families in breast cancer cells. We find that these receptors are intermixed nonhomogenously on the plasma membrane. Stimulation by EGF does not appear to induce a change in the density of EGFR in local clusters but instead results in formation of EGFR-Met and EGFR-ErbB3 associations; non-canonical EGFR-Met interactions are implicated in resistance to anti-cancer drugs but have not been previously detected in drug-naïve cells.
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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.