Surface-Patterned DNA Origami Rulers Reveal Nanoscale Distance Dependency of the Epidermal Growth Factor Receptor Activation.

DNA nanostructures cell signaling epidermal growth factor receptor self-assembly subcellular micropatterning surfaces

Journal

Nano letters
ISSN: 1530-6992
Titre abrégé: Nano Lett
Pays: United States
ID NLM: 101088070

Informations de publication

Date de publication:
24 Jan 2024
Historique:
medline: 25 1 2024
pubmed: 25 1 2024
entrez: 24 1 2024
Statut: aheadofprint

Résumé

The nanoscale arrangement of ligands can have a major effect on the activation of membrane receptor proteins and thus cellular communication mechanisms. Here we report on the technological development and use of tailored DNA origami-based molecular rulers to fabricate "Multiscale Origami Structures As Interface for Cells" (MOSAIC), to enable the systematic investigation of the effect of the nanoscale spacing of epidermal growth factor (EGF) ligands on the activation of the EGF receptor (EGFR). MOSAIC-based analyses revealed that EGF distances of about 30-40 nm led to the highest response in EGFR activation of adherent MCF7 and Hela cells. Our study emphasizes the significance of DNA-based platforms for the detailed investigation of the molecular mechanisms of cellular signaling cascades.

Identifiants

pubmed: 38267020
doi: 10.1021/acs.nanolett.3c04272
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Ivy Mayer (I)

Institute for Biological Interfaces (IBG-1), Karlsruhe Institute of Technology (KIT), 76344 Eggenstein-Leopoldshafen, Germany.

Tina Karimian (T)

School of Engineering, University of Applied Sciences Upper Austria, 4600 Wels, Austria.

Klavdiya Gordiyenko (K)

Institute for Biological Interfaces (IBG-1), Karlsruhe Institute of Technology (KIT), 76344 Eggenstein-Leopoldshafen, Germany.

Alessandro Angelin (A)

Institute for Biological Interfaces (IBG-1), Karlsruhe Institute of Technology (KIT), 76344 Eggenstein-Leopoldshafen, Germany.

Ravi Kumar (R)

Institute of Nanotechnology (INT) & Karlsruhe Nano Micro Facility (KNMF), Karlsruhe Institute of Technology (KIT), 76344 Eggenstein-Leopoldshafen, Germany.

Michael Hirtz (M)

Institute of Nanotechnology (INT) & Karlsruhe Nano Micro Facility (KNMF), Karlsruhe Institute of Technology (KIT), 76344 Eggenstein-Leopoldshafen, Germany.

Ralf Mikut (R)

Institute for Automation and Applied Informatics (IAI), Karlsruhe Institute of Technology (KIT), 76344 Eggenstein-Leopoldshafen, Germany.

Markus Reischl (M)

Institute for Automation and Applied Informatics (IAI), Karlsruhe Institute of Technology (KIT), 76344 Eggenstein-Leopoldshafen, Germany.

Johannes Stegmaier (J)

Institute for Automation and Applied Informatics (IAI), Karlsruhe Institute of Technology (KIT), 76344 Eggenstein-Leopoldshafen, Germany.
Institute of Imaging and Computer Vision, RWTH Aachen University, 52074 Aachen, Germany.

Lu Zhou (L)

Institute of Applied Physics (APH), Karlsruhe Institute of Technology (KIT), 76049 Karlsruhe, Germany.

Rui Ma (R)

Institute of Applied Physics (APH), Karlsruhe Institute of Technology (KIT), 76049 Karlsruhe, Germany.

Gerd Ulrich Nienhaus (GU)

Institute of Applied Physics (APH), Karlsruhe Institute of Technology (KIT), 76049 Karlsruhe, Germany.
Institute of Biological and Chemical Systems (IBCS) and Institute of Nanotechnology (INT), Karlsruhe Institute of Technology (KIT), 76021 Karlsruhe, Germany.
Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.

Kersten S Rabe (KS)

Institute for Biological Interfaces (IBG-1), Karlsruhe Institute of Technology (KIT), 76344 Eggenstein-Leopoldshafen, Germany.

Peter Lanzerstorfer (P)

School of Engineering, University of Applied Sciences Upper Austria, 4600 Wels, Austria.

Carmen M Domínguez (CM)

Institute for Biological Interfaces (IBG-1), Karlsruhe Institute of Technology (KIT), 76344 Eggenstein-Leopoldshafen, Germany.

Christof M Niemeyer (CM)

Institute for Biological Interfaces (IBG-1), Karlsruhe Institute of Technology (KIT), 76344 Eggenstein-Leopoldshafen, Germany.

Classifications MeSH