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Protein Networks02:26

Protein Networks

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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
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A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
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Multiprotein signaling complexes are formed in a dynamic process involving protein-protein interactions at the cytoplasmic domain of transmembrane receptors or enzymatic and non-enzymatic proteins associated with the receptor. These complexes ensure the activation and propagation of intracellular signals that regulate cell functions.
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Updated: Aug 29, 2025

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
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Multiplexed protein profiling reveals spatial subcellular signaling networks.

Shuangyi Cai1, Thomas Hu1,2, Mythreye Venkatesan1,2,3

  • 1Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332, USA.

Iscience
|September 12, 2022
PubMed
Summary
This summary is machine-generated.

Rapid multiplexed immunofluorescence (RapMIF) maps spatial protein signaling in single cells. This method reveals pathway alterations and aids precision therapy design by analyzing complex protein interactions.

Keywords:
Biological sciencesBiological sciences research methodologiesBiology experimental methodsBiotechnology

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Area of Science:

  • Cellular Biology
  • Molecular Biology
  • Biotechnology

Background:

  • Protein-protein interactions are crucial in cellular signaling and are often dysregulated in diseases.
  • Bulk assays mask cell-to-cell heterogeneity, limiting understanding of complex signaling pathways.
  • Image-based protein multiplexing offers higher resolution for dissecting cellular heterogeneity.

Purpose of the Study:

  • To introduce a novel rapid multiplexed immunofluorescence (RapMIF) method for high-resolution spatial protein mapping.
  • To analyze signaling pathway alterations and protein interactions at the subcellular level.
  • To demonstrate the utility of RapMIF in understanding cellular responses and designing precision therapies.

Main Methods:

  • Developed a single-platform pipeline for automated staining, bleaching, and imaging of biospecimens.
  • Employed RapMIF to generate 25-plex spatial protein maps from cultures and tissues.
  • Utilized machine learning for analyzing protein images and predicting signaling states.

Main Results:

  • RapMIF enabled measurement of up to 25 proteins with subcellular resolution, revealing 272 pairwise and 1,360 tri-protein signaling states.
  • Observed WNT/β-catenin signaling upregulation upon AKT/mTOR pathway inhibition.
  • Demonstrated subcellular protein translocation, spatial discontinuity, and signaling clusters in single cells.
  • Identified spatial redistribution of signaling proteins in drug-responsive cultures.

Conclusions:

  • RapMIF provides unprecedented spatial and combinatorial insights into cellular signaling networks.
  • The method effectively visualizes subcellular dynamics and protein redistribution in response to pathway modulation.
  • RapMIF is a powerful tool for signaling discovery, crucial for advancing precision medicine and therapeutic strategies.