Multiomics Advances: Bridging Gaps in Understanding Intricate Biological Systems

The field of systems biology has evolved significantly with the advent of multiomics approaches, which coordinate the precise interactions between genes, proteins, and metabolites within biological systems. Traditionally, single-omics technologies such as genomics, proteomics, and metabolomics have been employed to elucidate molecular mechanisms. However, these individual omics have often provided a simplified view of complex biological phenomena. The current landscape necessitates an integrated study of biological connections and regulatory systems to foster a comprehensive understanding of these processes.

This Research Topic aims to explore the innovative realm of multiomics, an interdisciplinary approach that integrates various omics techniques to investigate the mechanisms underpinning cellular functions. By combining multiple datasets, multiomics provides a panoramic perspective on the biological system's complexity, even at the level of individual cells. This comprehensive understanding is crucial for deciphering how biological systems demonstrate resilience and adaptability under changing conditions and stresses. Multiomics not only unravels the mysteries of complex biological systems but also reveals novel regulatory pathways, transforming the field of contemporary systems biology.

To gather further insights in the integration and analysis of multiomics data in systems biology, we welcome articles addressing, but not limited to, the following themes:

• Application of multiomics in understanding cellular functions

• Advances in computational techniques for multiomics data integration

• Multiomics approaches in revealing novel regulatory pathways

• The role of multiomics in enhancing the adaptability of biological systems

• Challenges and opportunities in the era of multiomics

Please consider submitting manuscripts such as original research, reviews, methods, data reports, and perspectives to contribute to this exciting field.

Please note that studies in the following categories will generally not be considered for review, unless they are substantially extended to provide meaningful insights into gene or protein function, or to advance our understanding of the underlying biology:

i) Comparative transcriptomic analyses that only reports a collection of differentially expressed genes, some validated by qPCR under different conditions or treatments;

ii) Descriptive studies that merely define gene families using basic phylogenetics and assign cursory functional attributions (e.g. expression profiles, hormone or metabolites levels, promoter analysis, informatic parameters).

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Editorial
• FAIR² Data
• FAIR² DATA Direct Submission
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• ... View all formats

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Editorial
• FAIR² Data
• FAIR² DATA Direct Submission
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• Policy and Practice Reviews
• Review
• Systematic Review
• Technology and Code

Keywords: Bioinformatics tools, Complex biological system, Computational analysis, Integration, Multiomics, Systems biology

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.