Starting from the 21st century, Systems Biology has been adopted to investigate living organisms from a holistic point of view, by assuming they are made up of molecular networks integrated and communicating on multiple levels. With the support of databases, computational tools, and algorithms, this complex network of molecular interactions is analysed at a mathematical level to investigate the emergent properties of biological systems and extract the most relevant information. In this context, data-derived Systems Biology uses omics data to infer new models or to integrate them into existing ones to formulate and test new hypotheses. These strategies, driven by the development of -omics technologies (NGS, MS), are widely used in biomedical research. However, massive amounts of omics data are available for plant organisms enabling plant biologists to address plant studies through a systems perspective.
A systems perspective is well suited to the goal of studying plant communication at multiple levels. Plant communication, both inter and intracellular, is comprised of an immensely complex network of interactions, thus data-derived Systems Biology based on network models may represent a valid strategy of investigation.
This Research Topic aims to provide a holistic view of plant cellular communication, as the basis for plant development or adaption to different biotic and abiotic stress scenarios. Manuscripts must be based on the combination of -omics data and Systems Biology approaches. We expected that authors contribute with studies focused on -omics profiling and their functional evaluation at the systems level (enriched pathways, biological processes, molecular functions). Special attention will be dedicated to manuscripts based on network models, including protein-protein interaction (PPI) and co-expression networks. In addition, the integration of different -omics data (genomics, transcriptomics, proteomics, metabolomics, phenomics) and the investigation of network model topology will represent further elements fitting with the Research Topic scope.
Descriptive studies detailing collections of transcripts, proteins, or metabolites, without providing insight into the biological system or process being studied, will not be considered for review.
Based on these premises, this Research Topic will attract submission of Original Research papers and Reviews related to the following areas:
· Intracellular communication (inter-organelle communication)
· Cell-cell communication
· Plant-pathogen interactions
· Plant-symbiont interactions
· Organs communication in plant
· Development of databases, computational tools, and methods for systems biology in plants
Starting from the 21st century, Systems Biology has been adopted to investigate living organisms from a holistic point of view, by assuming they are made up of molecular networks integrated and communicating on multiple levels. With the support of databases, computational tools, and algorithms, this complex network of molecular interactions is analysed at a mathematical level to investigate the emergent properties of biological systems and extract the most relevant information. In this context, data-derived Systems Biology uses omics data to infer new models or to integrate them into existing ones to formulate and test new hypotheses. These strategies, driven by the development of -omics technologies (NGS, MS), are widely used in biomedical research. However, massive amounts of omics data are available for plant organisms enabling plant biologists to address plant studies through a systems perspective.
A systems perspective is well suited to the goal of studying plant communication at multiple levels. Plant communication, both inter and intracellular, is comprised of an immensely complex network of interactions, thus data-derived Systems Biology based on network models may represent a valid strategy of investigation.
This Research Topic aims to provide a holistic view of plant cellular communication, as the basis for plant development or adaption to different biotic and abiotic stress scenarios. Manuscripts must be based on the combination of -omics data and Systems Biology approaches. We expected that authors contribute with studies focused on -omics profiling and their functional evaluation at the systems level (enriched pathways, biological processes, molecular functions). Special attention will be dedicated to manuscripts based on network models, including protein-protein interaction (PPI) and co-expression networks. In addition, the integration of different -omics data (genomics, transcriptomics, proteomics, metabolomics, phenomics) and the investigation of network model topology will represent further elements fitting with the Research Topic scope.
Descriptive studies detailing collections of transcripts, proteins, or metabolites, without providing insight into the biological system or process being studied, will not be considered for review.
Based on these premises, this Research Topic will attract submission of Original Research papers and Reviews related to the following areas:
· Intracellular communication (inter-organelle communication)
· Cell-cell communication
· Plant-pathogen interactions
· Plant-symbiont interactions
· Organs communication in plant
· Development of databases, computational tools, and methods for systems biology in plants
