Multi-Omics and Bioinformatics Approach to Identify Novel Disease Biomarker

Dear Colleagues,

High-throughput technologies are widely used as systemic approaches to explore differences in expressions of thousands of genes or metabolites for both biological and genomics systems. The proper and full utilization of these data from multi-omics would therefore accelerate the identification of important disease biomarkers as well as facilitate the development of improved molecular signatures. For instance, genes are usually considered to represent potential disease biomarkers when they show differential overexpression in a particular cancer. Meanwhile, the gut microbiome pattern reflects the pathophysiological condition of the body, and metagenomics serves as a powerful tool to analyze the core bacterial properties. Bidirectional communication between the gut microbiota and the liver is conducted by the signals generated from genetic or dietary factors. Therefore, it is also well recognized that many upregulated and downregulated genes or metabolites are associated with disease development. Although the data from these analyses need to be confirmed via further detailed studies, it nonetheless helps to somehow foresee the trend of information for disease to develop. However, the bioinformatics data accompanied by validation experiments are also sought after. This Special Issue of Separations entitled “Multi-Omics and Bioinformatics Approach to Identify Novel Disease Biomarkers” seeks papers on the following topics:

• Metagenomics, metabolomics, microbiome, proteomics, genomics, epigenomics, transcriptomics;
• Systems biology and multimodal analysis, high throughput screening via mass spectrometry, microarray, RNAi, Next-Generation Sequencing (NGS);
• Drug discovery and disease biomarkers, natural compounds, Traditional Chinese Medicine (TCM), Complementary and Alternative Medicine (CAM).

Dr. Chihyang Wang
Dr. Wei-Jan Wang
Guest Editors

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