Proteomics and PTMomics are powerful tools for understanding the molecular and cellular pathology of various diseases, including metabolic diseases. They have significantly improved our understanding of metabolic diseases by facilitating the identification, characterization and validation of specific post-translational modifications (PTMs). Interdisciplinary research efforts have the potential to refine existing methodologies and drive the development of novel technologies, leading to a deeper comprehension of the molecular and cellular pathology associated with different PTMs. Ultimately, integrating proteomics and PTMomics into clinical practice will improve the diagnosis, prognosis, and therapeutic interventions for metabolic disease.
However, metabolic diseases are complex and involve multiple cell types, tissues, and intricate interactions among different cellular components. Analyzing PTMs in such complexity poses challenges due to sample heterogeneity, dynamic range, and the need for spatial information. While mass spectrometry-based approaches have revolutionized PTM identification, limitations still exist in terms of PTM coverage, functional characterization, and translating PTMomics for clinical applications. To fully leverage PTMomics for understanding metabolic disease mechanisms and developing effective therapeutic interventions, it is crucial to develop improved fractionation techniques, enrichment strategies, and sensitive mass spectrometric instrumentation. These advancements will enhance PTM identification and quantification, providing a more comprehensive understanding of PTM dynamics in metabolic disease pathology.
In this Research Topic, we aim to collect Original Research articles, Reviews and Opinions that focus on various subtopics related to proteomics and PTMomics in metabolic diseases. These subtopics include, but are not limited to:
• Development and optimization of techniques to enhance the sensitivity for studying specific PTMs in metabolism-related diseases;
• Discovery of new PTMs in various metabolic diseases using improved PTM technologies;
• Utilization of high throughput proteomic and PTMomic approaches to investigate the impact of proteins and/or PTMs on cellular phenotypes in metabolic diseases;
• Integration of multi-omics data to decipher the molecular and cellular pathways involved in metabolic disease pathology;
• In-depth functional studies of PTMs in metabolic disease pathology using omics-directed approaches.
• Please note that manuscripts consisting solely of bioinformatics, mendelian randomization, computational analysis, or predictions of public databases that are not accompanied by validation (independent cohort or biological validation in vitro or in vivo) will not be accepted.
Proteomics and PTMomics are powerful tools for understanding the molecular and cellular pathology of various diseases, including metabolic diseases. They have significantly improved our understanding of metabolic diseases by facilitating the identification, characterization and validation of specific post-translational modifications (PTMs). Interdisciplinary research efforts have the potential to refine existing methodologies and drive the development of novel technologies, leading to a deeper comprehension of the molecular and cellular pathology associated with different PTMs. Ultimately, integrating proteomics and PTMomics into clinical practice will improve the diagnosis, prognosis, and therapeutic interventions for metabolic disease.
However, metabolic diseases are complex and involve multiple cell types, tissues, and intricate interactions among different cellular components. Analyzing PTMs in such complexity poses challenges due to sample heterogeneity, dynamic range, and the need for spatial information. While mass spectrometry-based approaches have revolutionized PTM identification, limitations still exist in terms of PTM coverage, functional characterization, and translating PTMomics for clinical applications. To fully leverage PTMomics for understanding metabolic disease mechanisms and developing effective therapeutic interventions, it is crucial to develop improved fractionation techniques, enrichment strategies, and sensitive mass spectrometric instrumentation. These advancements will enhance PTM identification and quantification, providing a more comprehensive understanding of PTM dynamics in metabolic disease pathology.
In this Research Topic, we aim to collect Original Research articles, Reviews and Opinions that focus on various subtopics related to proteomics and PTMomics in metabolic diseases. These subtopics include, but are not limited to:
• Development and optimization of techniques to enhance the sensitivity for studying specific PTMs in metabolism-related diseases;
• Discovery of new PTMs in various metabolic diseases using improved PTM technologies;
• Utilization of high throughput proteomic and PTMomic approaches to investigate the impact of proteins and/or PTMs on cellular phenotypes in metabolic diseases;
• Integration of multi-omics data to decipher the molecular and cellular pathways involved in metabolic disease pathology;
• In-depth functional studies of PTMs in metabolic disease pathology using omics-directed approaches.
• Please note that manuscripts consisting solely of bioinformatics, mendelian randomization, computational analysis, or predictions of public databases that are not accompanied by validation (independent cohort or biological validation in vitro or in vivo) will not be accepted.
