About this Research Topic
Since the application of next-generation sequencing technology and high-resolution mass spectrometry in biomedical fields, the rapid development of omics technologies has provided a revolutionary technological breakthrough in molecular medicine and genetics research. From transcriptomics to untargeted metabolomics, from single-cell expression profiling to in situ sequencing, investigators have accumulated explosive knowledge about genes and gene product interactions in physiological and pathological processes. Thus, novel molecular-to-phenotypic relationships derived from the multi-omics carry the potential to discover novel signaling pathways, and the appropriate use and ingenious design of multi-omics will be fundamental to the construction of more refined gene and protein networks, which will significantly contribute to the development of systems biology and human medical genomics.
Multi-omics technologies are the most recently developed biological approaches. However, for mining novel molecular functions and biological processes, in addition to the clues provided by single omics techniques, additional omics around the central rule and the validation based on traditional methods are needed to provide reliable insights. For example, combining metabolomics with transcriptomics allows a comprehensive dissection of the effects of intracellular messenger molecules on transcriptional regulation, from which new signal regulatory molecules and patterns of regulation are identified; Combining single-cell transcriptomics with spatial transcriptomics allowed the association of genes with heterogeneous expression in different cells with their histological localization, revealing a new pattern of molecular involvement in intercellular communication. The combined use of multi-omics technologies will provide more persuasive evidence for discovering and identifying novel biological processes and molecular functions.
In this research topic, we will focus on the application of multi-omics technologies to explore novel biological processes and molecular functions in human disease. We welcome submissions of Original Research papers and Reviews focusing on but not limited to:
• Multi-omics research related to human immunity or cancer that combines two or more kinds of omics technologies.
• Pioneering studies aimed at identifying the crosstalk relationships between new signaling pathways and biological processes, integrating omics and molecular biology techniques.
• Comprehensive clinical research combined with multi-omics techniques.
• Innovation of new omics technology or improvement of original technology.
• Application of artificial intelligence in multi-omics data interpretation.
Multi-omics technologies are the most recently developed biological approaches. However, for mining novel molecular functions and biological processes, in addition to the clues provided by single omics techniques, additional omics around the central rule and the validation based on traditional methods are needed to provide reliable insights. For example, combining metabolomics with transcriptomics allows a comprehensive dissection of the effects of intracellular messenger molecules on transcriptional regulation, from which new signal regulatory molecules and patterns of regulation are identified; Combining single-cell transcriptomics with spatial transcriptomics allowed the association of genes with heterogeneous expression in different cells with their histological localization, revealing a new pattern of molecular involvement in intercellular communication. The combined use of multi-omics technologies will provide more persuasive evidence for discovering and identifying novel biological processes and molecular functions.
In this research topic, we will focus on the application of multi-omics technologies to explore novel biological processes and molecular functions in human disease. We welcome submissions of Original Research papers and Reviews focusing on but not limited to:
• Multi-omics research related to human immunity or cancer that combines two or more kinds of omics technologies.
• Pioneering studies aimed at identifying the crosstalk relationships between new signaling pathways and biological processes, integrating omics and molecular biology techniques.
• Comprehensive clinical research combined with multi-omics techniques.
• Innovation of new omics technology or improvement of original technology.
• Application of artificial intelligence in multi-omics data interpretation.
Keywords: Single-cell transcriptomics, Metabonomics, Proteomics, Spatial transcriptomics, Multi-omics, Immunology, Oncology
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.
