Molecular network strategy in multi-omics and mass spectrometry imaging

Area of Science:

• Biochemistry
• Systems Biology
• Molecular Biology

Background:

• Human health and disease involve intricate molecular interactions.
• Mass spectrometry (MS)-based multi-omics and MS imaging (MSI)-based spatial omics are key technologies for molecular profiling.
• Understanding molecular relationships is crucial for biological interpretation.

Purpose of the Study:

• To review recent advancements in network-based analysis for biological data.
• To highlight the application of these methods in understanding disease mechanisms.
• To demonstrate the utility of molecular networks in interpreting complex biological phenotypes.

Main Methods:

• Utilizing mass spectrometry (MS)-based multi-omics for molecular profiling.
• Employing MS imaging (MSI)-based spatial omics for tissue-level molecular distribution.
• Applying molecular network strategies for data mining and biological pattern identification.

Main Results:

• Network analysis effectively integrates multi-omics and spatial omics data.
• This approach facilitates the identification and interpretation of molecular players in biological processes.
• Demonstrated applications in areas including obesity, central nervous system diseases, and environmental toxicology.

Conclusions:

• Network-based analysis is a powerful strategy for dissecting complex biological systems.
• Integrating multi-omics and spatial omics data via networks enhances biological insight.
• These methods offer significant potential for advancing our understanding of health and disease.