As "integrated omics," multi-omics approaches combine three or more omics datasets and include essential omics data types such genomics, transcriptomics, proteomics, and metabolomics.
Microbiological pathogens are continually present in the surroundings of environment. When a pathogen comes into contact with its host, a series of complicated intracellular interactions play a role in the infection's outcome and consequence. A thorough understanding of host–pathogen interactions is critical for the development of infectious disease therapies and prevention strategies. Insights into the host-pathogen interactions requires collecting, analysing, and modelling multi-modal data provided through integrative multi-omics research.
More study is needed, especially utilising multi-omics techniques, to resolve the genetic, immunologic, transcriptional, translational, and metabolic pathways that underpin the transition from infection to microbial eradication.
Research that combined proteomic and metabolomic techniques discovered distinct protein and metabolite alterations in the sera of severe coronavirus disease 2019 (COVID-19) patients, which might be utilised to identify possible blood biomarkers for severity assessment. Moreover, researchers used transcriptome and proteome studies on gastric cancer cells infected by Helicobacter pylori isolates from gastric MALT lymphoma (GML) patients and the gastric ulcer strain to examine the differently expressed molecular fingerprints caused by GML isolates. Furthermore, proteomics and metabolomics studies have also discovered a significant change in proteins and metabolites during rice defence responses to biotic stressors, as well as the production of specific secondary metabolites (SMs) in some cultivars, which may vary depending on the type of biotic stress and the time the stress is imposed. Additionally, omics techniques have offered a mechanistic knowledge of tissue-specificity as well as prospective therapy possibilities for mitochondrial illnesses including metabolome remodelling.
This Research Topic welcomes article types of Original Research, Review, Mini-review and Areas of interest include, but are not limited to:
1. Integrated omics analysis for studying bacteria, fungi, parasites, viruses, endosymbionts, prions and all microbial pathogens
2. Integrated omics analysis for studying of microbiota and its effect on health and disease in various hosts.
3. Multi-omics analysis of cancer cell lines
Data types for integrative omics include genetic variation, epigenetics, gene expression, proteomics and metabolomics and microbiome
As "integrated omics," multi-omics approaches combine three or more omics datasets and include essential omics data types such genomics, transcriptomics, proteomics, and metabolomics.
Microbiological pathogens are continually present in the surroundings of environment. When a pathogen comes into contact with its host, a series of complicated intracellular interactions play a role in the infection's outcome and consequence. A thorough understanding of host–pathogen interactions is critical for the development of infectious disease therapies and prevention strategies. Insights into the host-pathogen interactions requires collecting, analysing, and modelling multi-modal data provided through integrative multi-omics research.
More study is needed, especially utilising multi-omics techniques, to resolve the genetic, immunologic, transcriptional, translational, and metabolic pathways that underpin the transition from infection to microbial eradication.
Research that combined proteomic and metabolomic techniques discovered distinct protein and metabolite alterations in the sera of severe coronavirus disease 2019 (COVID-19) patients, which might be utilised to identify possible blood biomarkers for severity assessment. Moreover, researchers used transcriptome and proteome studies on gastric cancer cells infected by Helicobacter pylori isolates from gastric MALT lymphoma (GML) patients and the gastric ulcer strain to examine the differently expressed molecular fingerprints caused by GML isolates. Furthermore, proteomics and metabolomics studies have also discovered a significant change in proteins and metabolites during rice defence responses to biotic stressors, as well as the production of specific secondary metabolites (SMs) in some cultivars, which may vary depending on the type of biotic stress and the time the stress is imposed. Additionally, omics techniques have offered a mechanistic knowledge of tissue-specificity as well as prospective therapy possibilities for mitochondrial illnesses including metabolome remodelling.
This Research Topic welcomes article types of Original Research, Review, Mini-review and Areas of interest include, but are not limited to:
1. Integrated omics analysis for studying bacteria, fungi, parasites, viruses, endosymbionts, prions and all microbial pathogens
2. Integrated omics analysis for studying of microbiota and its effect on health and disease in various hosts.
3. Multi-omics analysis of cancer cell lines
Data types for integrative omics include genetic variation, epigenetics, gene expression, proteomics and metabolomics and microbiome
