Related Experiment Video
Updated: Feb 25, 2026

Author Spotlight: Enhancements in Gene Expression Regulation Research
Published on: September 15, 2023
Quantitative Proteomics Reveals Temporal Proteomic Changes in Signaling Pathways during BV2 Mouse Microglial Cell
Jongmin Woo, Dohyun Han1, Joseph Injae Wang
1Proteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital , 101 Daehangro, Seoul 110-799, Korea.
We developed a proteomic platform to analyze activated microglia, identifying key immune and metabolic pathways. This system enables the discovery of pathways linked to neurodegenerative diseases and large-scale targeted analyses.
Area of Science:
- Systems biology
- Proteomics
- Neuroinflammation
Background:
- Microglia play a crucial role in brain homeostasis and immune responses.
- Microglial activation, particularly the proinflammatory state induced by lipopolysaccharide (LPS) and interferon-gamma (IFN-γ), is implicated in neurodegenerative diseases.
- Understanding proteomic changes during microglial activation is essential for identifying disease mechanisms.
Purpose of the Study:
- To develop and apply a systematic proteomic quantification platform for in-depth analysis of cellular systems.
- To investigate the intracellular and extracellular proteome changes in activated microglia.
- To identify pathways associated with microglial activation and their potential role in neurodegeneration.
Main Methods:
- Utilized an improved shotgun proteomics approach for global proteome analysis.
- Employed label-free parallel reaction monitoring (PRM) for high-resolution mass spectrometry-based targeted quantification.
- Applied a systematic proteomic platform encompassing global to targeted analysis on a single platform.
Main Results:
- Identified 5497 proteins in the whole-cell proteome and 4938 proteins in the secretome of LPS/IFN-γ-stimulated BV2 mouse microglia.
- Classified differentially expressed proteins into pathways related to immune-inflammatory responses and metabolism.
- Quantified over 450 peptides corresponding to pathway proteins and interactors using label-free PRM in a single run.
Conclusions:
- The developed systematic quantification platform enables comprehensive analysis of activated microglia proteomes.
- Data suggest latent pathways associated with neurodegenerative diseases can be discovered through pathway network modeling.
- The platform holds significant potential for large-scale targeted proteomic analyses in various biological systems.
More Related Videos
11:49Quantitative Proteomics Workflow using Multiple Reaction Monitoring Based Detection of Proteins from Human Brain Tissue
Published on: August 28, 2021
10:36High Resolution Quantitative Synaptic Proteome Profiling of Mouse Brain Regions After Auditory Discrimination Learning
Published on: December 15, 2016