Recent advances in multi-omics technologies, encompassing genomics, epigenomics, transcriptomics, proteomics, and metabolomics, have profoundly enriched our understanding of the molecular and cellular underpinnings of human diseases. However, analyses based on single omics layers often present a fragmented view, insufficient to illuminate the complex pathological networks at play. By integrating multi-omics data, combined with systems biology approaches and orthogonal experimental validation, researchers can now elucidate the intricate interactions between genetic and epigenetic alterations, organelle dysfunction, and dysregulated signaling pathways. These integrative methodologies carry the potential to enhance diagnostic precision and facilitate the development of targeted therapies, bridging the gap between high-throughput data and mechanistic pathology. This Research Topic endeavors to showcase studies that transcend descriptive omics, employing computational modeling alongside rigorous experimental validation to uncover the mechanistic roles of multi-omics perturbations in cellular pathogenesis.

Cutting-edge technologies, such as single-cell, spatial transcriptomics, and RNA-editing-based profiling, allow an unprecedented resolution in characterizing biological systems. Yet, understanding the intricate regulatory architecture underlying human disease pathology remains a challenge without integrative approaches. When multi-omics strategies are merged with systems biology frameworks, they offer unparalleled insights into the mechanisms of tissue dysfunction, intercellular communication, and organelle-specific damage. This Research Topic calls for contributions that leverage advanced multi-omics integration to dissect pathological processes in human disease, emphasizing approaches that bridge high-throughput molecular profiling with functional and spatial contexts. Studies exploring emerging omics modalities or computational-experimental pipelines to decode disease-relevant mechanisms are particularly encouraged.This Research Topic invites studies that go beyond descriptive data analysis,

We encourage submissions in the following integrated themes:

• Mechanistic Insights into Disease Pathogenesis via Multi-Omics Integration: Studies revealing how genetic, epigenetic, and transcriptomic alterations converge to disrupt cellular homeostasis, with experimental confirmation of key regulators or pathways.

• Organelle and Microenvironmental Dysfunction Mapped by Spatial or Single-Cell Omics: Research that decodes localized signaling or damage using spatial transcriptomics, imaging mass spectrometry, or organelle-targeted multi-omics, linked to functional assays.

• Metabolic-Immune Interactions and Multi-Scale Network Modeling: Articles that model the dynamic interaction of metabolic flux, RNA editing, and immune signaling, validated through in vitro or in vivo perturbations.

• Translational Applications and Therapeutic Target Discovery: Studies translating omics-informed discoveries into diagnostic models, predictive biomarkers, or therapeutic interventions, including preclinical validation.

Are you interested in contributing a manuscript to this Research Topic?

Integrative Omics for Insights into Human Disease Mechanisms and Therapeutic Potentials