4.6 Article

Subcellular Dynamic Immunopatterning of Cytosolic Protein Complexes on Microstructured Polymer Substrates

Journal

ACS SENSORS
Volume 6, Issue 11, Pages 4076-4088

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acssensors.1c01574

Keywords

micropatterning; cytosolic protein complexes; COP substrate; dynamic immunopatterning; EGFR

Funding

  1. province of Upper Austria as part of the FH Upper Austria Center of Excellence for Technological Innovation in Medicine (TIMed CENTER)
  2. Christian Doppler Forschungsgesellschaft (Josef Ressel Center for Phytogenic Drug Research)
  3. Austrian Science Fund (FWF) [I4972-B]
  4. 'Dissertationsprogramm der Fachhochschule OO 2020'
  5. province of Upper Austria (Austrian Research Promotion Agency (FFG) grant) [35409758]
  6. Austrian Science Fund (FWF) [I4972] Funding Source: Austrian Science Fund (FWF)

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The study introduces a new dynamic immunopatterning method for investigating cytosolic protein complexes and signaling pathways. The method can be used to study the stability and exchange kinetics of protein interactions, and also to investigate the efficacy and specificity of protein domain inhibitors in a live cell context.
Analysis of protein-protein interactions in living cells by protein micropatterning is currently limited to the spatial arrangement of transmembrane proteins and their corresponding downstream molecules. Here, we present a robust and straightforward method for dynamic immunopatterning of cytosolic protein complexes by use of an artificial transmembrane bait construct in combination with microstructured antibody arrays on cyclic olefin polymer substrates. As a proof, the method was used to characterize Grb2-mediated signaling pathways downstream of the epidermal growth factor receptor (EGFR). Ternary protein complexes (Shc1:Grb2:SOS1 and Grb2:Gab1:PI3K) were identified, and we found that EGFR downstream signaling is based on constitutively bound (Grb2:SOS1 and Grb2:Gab1) as well as on agonist-dependent protein associations with transient interaction properties (Grb2:Shc1 and Grb2:PI3K). Spatiotemporal analysis further revealed significant differences in stability and exchange kinetics of protein interactions. Furthermore, we could show that this approach is well suited to study the efficacy and specificity of SH2 and SH3 protein domain inhibitors in a live cell context. Altogether, this method represents a significant enhancement of quantitative subcellular micropatterning approaches as an alternative to standard biochemical analyses.

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