2017
DOI: 10.1371/journal.pone.0177761
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Synthesis and biochemical characterization of EGF receptor in a water-soluble membrane model system

Abstract: ErbB (Erythroblastic Leukemia Viral Oncogene Homolog) receptor tyrosine kinases are critical for tissue development and maintenance, and frequently become oncogenic when mutated or overexpressed. In vitro analysis of ErbB receptor kinases can be difficult because of their large size and poor water solubility. Here we report improved production and assembly of the correctly folded full-length EGF receptor (EGFR) into nanolipoprotein particles (NLPs). NLPs are ~10 nm in diameter discoidal cell membrane mimics co… Show more

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Cited by 3 publications
(6 citation statements)
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“…Evidence confirming the presence of resonance energy transfer between SS594 on EGFR and Alexa-647 on the Y1068 antibody were obtained in phosphorylation buffer from the decrease in the average fluorescence lifetime of the donor in the presence of the acceptor, which reduced by 4.9 %, 8.3 % and 36.4 % when EGFR: Y1068 antibody molar ratios of 2:1, 1: 2 and 1: 20 were tested, respectively (Figure 4c). The increase in FRET efficiency indicates that antibody binding occurs within the intracellular domain and is consistent with previous work that demonstrates EGFR functionality via ligand interaction when contained within supported membrane mimetics composed of DMPC phospholipids [45,58]. The combination of FCS and FRET measurements are consistent with antibody binding to the intracellular compartment of functional EGFR and thus emphasize the potential of EGFR NLPs as a versatile platform.…”
Section: Construction and Characterization Of Labeled Egfr Nlpssupporting
confidence: 89%
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“…Evidence confirming the presence of resonance energy transfer between SS594 on EGFR and Alexa-647 on the Y1068 antibody were obtained in phosphorylation buffer from the decrease in the average fluorescence lifetime of the donor in the presence of the acceptor, which reduced by 4.9 %, 8.3 % and 36.4 % when EGFR: Y1068 antibody molar ratios of 2:1, 1: 2 and 1: 20 were tested, respectively (Figure 4c). The increase in FRET efficiency indicates that antibody binding occurs within the intracellular domain and is consistent with previous work that demonstrates EGFR functionality via ligand interaction when contained within supported membrane mimetics composed of DMPC phospholipids [45,58]. The combination of FCS and FRET measurements are consistent with antibody binding to the intracellular compartment of functional EGFR and thus emphasize the potential of EGFR NLPs as a versatile platform.…”
Section: Construction and Characterization Of Labeled Egfr Nlpssupporting
confidence: 89%
“…The increase in FRET efficiency indicates that antibody binding occurs within the intracellular domain and is consistent with previous work that demonstrates EGFR functionality via ligand interaction when contained within supported membrane mimetics composed of DMPC phospholipids. 45,57 The combination of FCS and FRET measurements are consistent with antibody binding to the intracellular compartment of functional EGFR and thus emphasize the potential of EGFR NLPs as a versatile platform.…”
Section: ■ Results and Discussionmentioning
confidence: 54%
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“…A bigger challenge is that many other cellular components that associate with ERBB receptors, for example other ERBB family member proteins, are often co-purified with the target protein. Cell-based and insect cell expression systems combined with NLPs have been used to isolate ERBB receptors (Mi et al, 2008; Scharadin et al, 2017). However, overexpression relied on fusion tags and detergent solubilization.…”
Section: Cell-free Nlp Co-expression Systems For Characterizing Functmentioning
confidence: 99%
“…This is compelling motivation for development of broadly applicable, lipid-based characterization platforms, especially amid growing evidence that lipids not only stabilize, but regulate membrane protein activity. , MP–NLPs offer one modality for examining properties of membrane proteins embedded in lipid bilayers. Several studies using NLPs to examine protein activity, oligomerization, , and diffusion dynamics , have been reported.…”
Section: Introductionmentioning
confidence: 99%