Related Experiment Video
Updated: Aug 6, 2026
05:58
Detecting and Characterizing Protein Self-Assembly In Vivo by Flow Cytometry
Published on: July 17, 2019
Complex assembly and activity states as multifaceted protein attributes explaining phenotypic variability
George Rosenberger1,2, Peng Xue3,4, Isabell Bludau3,5
1Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA. george@rosenberger.pro.
Molecular Systems Biology
|July 22, 2026
Summary
This study introduces a multi-omics framework to infer protein activities, revealing how protein complex assembly buffers genetic changes. The method uncovers functional regulation and molecular mechanisms driving cell phenotype divergence.
Area of Science:
- Cellular Biology
- Systems Biology
- Biochemistry
Background:
- Cellular state is determined by protein activity, not just abundance.
- Current methods often fail to capture dynamic protein functions.
- Understanding protein activity is crucial for deciphering cellular phenotypes.
Purpose of the Study:
- To develop a multi-omics framework for inferring context-specific protein activities.
- To integrate transcriptomic, phosphoproteomic, and protein-protein interaction data.
- To uncover mechanisms of cellular regulation and phenotypic divergence.
Main Methods:
- Developed a multi-omics framework integrating various data types.
- Employed network diffusion to combine modality-specific algorithms.
- Utilized protein correlation profiling for separating protein fractions.
- Applied the framework to diverse HeLa cell lines.
Main Results:
- Protein complex assembly buffers variations in gene copy number and transcription.
- Inferred protein activities capture functional regulation linked to phenotypes.
- Identified a WIPF1/WIPF2--Arp2/3 axis and an immunoproteasome switch.
Conclusions:
- The multi-omics framework effectively infers context-specific protein activities.
- Protein activity, not just abundance, is key to cellular function and phenotype.
- The study reveals novel molecular mechanisms underlying cell adaptation and divergence.
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