A method for Boolean analysis of protein interactions at a molecular level.
Doroteya RaykovaDespoina KermpatsouTony MalmqvistPhilip J HarrisonMarie Rubin SanderChristiane StillerJohan HeldinMattias LeinoSara RicardoAnna H KlemmLeonor DavidOla SpjuthKalyani VemuriAnna DimbergAnders SundqvistMaria NorlinAxel KlaessonCaroline KampfOla SöderbergPublished in: Nature communications (2022)
Determining the levels of protein-protein interactions is essential for the analysis of signaling within the cell, characterization of mutation effects, protein function and activation in health and disease, among others. Herein, we describe MolBoolean - a method to detect interactions between endogenous proteins in various subcellular compartments, utilizing antibody-DNA conjugates for identification and signal amplification. In contrast to proximity ligation assays, MolBoolean simultaneously indicates the relative abundances of protein A and B not interacting with each other, as well as the pool of A and B proteins that are proximal enough to be considered an AB complex. MolBoolean is applicable both in fixed cells and tissue sections. The specific and quantifiable data that the method generates provide opportunities for both diagnostic use and medical research.
Keyphrases
- healthcare
- protein protein
- public health
- induced apoptosis
- binding protein
- magnetic resonance
- nucleic acid
- single cell
- high throughput
- small molecule
- magnetic resonance imaging
- cell cycle arrest
- risk assessment
- cell proliferation
- big data
- machine learning
- computed tomography
- social media
- bone marrow
- artificial intelligence
- pi k akt
- health promotion
- circulating tumor cells