Reconstructing Signaling Networks Using Biosensor Barcoding.

Autor:	Wang S; Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, MD, USA., Chi WY; Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, MD, USA.; Weill Cornell Medicine, New York, NY, USA., Au G; Department of Biology, Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, MD, USA., Huang CC; Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, MD, USA., Yang JM; Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, MD, USA. jyang38@jhmi.edu., Huang CH; Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, MD, USA. chuang29@jhmi.edu.; Department of Cell Biology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA. chuang29@jhmi.edu.; Center for Cell Dynamics, School of Medicine, Johns Hopkins University, Baltimore, MD, USA. chuang29@jhmi.edu.
Jazyk:	angličtina
Zdroj:	Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2024; Vol. 2800, pp. 189-202.
DOI:	10.1007/978-1-0716-3834-7_13
Abstrakt:	Understanding how signaling networks are regulated offers valuable insights into how cells and organisms react to internal and external stimuli and is crucial for developing novel strategies to treat diseases. To achieve this, it is necessary to delineate the intricate interactions between the nodes in the network, which can be accomplished by measuring the activities of individual nodes under perturbation conditions. To facilitate this, we have recently developed a biosensor barcoding technique that enables massively multiplexed tracking of numerous signaling activities in live cells using genetically encoded fluorescent biosensors. In this chapter, we detail how we employed this method to reconstruct the EGFR signaling network by systematically monitoring the activities of individual nodes under perturbations. (© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)
Databáze:	MEDLINE
Externí odkaz:	Zobrazit plný text záznamu