Whole-transcriptome analysis with total RNA sequencing (RNA-Seq) can quantity genes and transcript abundance as well as capture previously unknown aspects of the transcriptome. The RNA universe was shown to be far more complicated than previously believed with the advent of high-throughput transcriptomic approaches and computational analysis.
N6-methyladenosine (m6A), one of the more than 100 types of RNA modifications that have been identified, is the most frequent RNA modification, which is a more recent advancement in the field of epigenetics. Noncoding RNAs (ncRNAs) are transcripts that lack the properties required for protein-coding and are engaged in pathogenic processes and the disruption of homeostatic mechanisms. Important examples of these ncRNAs include circular RNAs (circRNAs), miRNAs, siRNAs, and long non-coding RNAs (lncRNAs).
The function of RNA is influenced by its location. For cellular functions including protein production and response to stimuli, subcellular RNA localization must be dynamically controlled and tuned. Researchers can now better grasp the mechanism and functional significance of RNA localization regulation during the development and cell specialization of complex tissues due to the development of spatiotemporal transcriptome.
This research topic intends to provide the latest studies on the role of RNA (such as mRNA, lncRNAs, miRNAs, and other RNAs with regulatory properties) in genetics and epigenetics, as well as their applications in human physiology, pathology, disease diagnosis, and prevention. We welcome submissions of original research and systematic review articles, including but not limited to the following topics.
• RNA interactions and competing-endogenous RNAs.
• Identity the regulators and reveal the function of RNA methylation
• The molecular mechanisms of ncRNAs and their post-transcriptional networks.
• mRNA/ncRNAs as biomarkers for the diagnosis and prognosis of human diseases
• Spatio-Temporal Transcriptome Regulation in Health and Disease
• Transcriptome-Wide Association Study
Whole-transcriptome analysis with total RNA sequencing (RNA-Seq) can quantity genes and transcript abundance as well as capture previously unknown aspects of the transcriptome. The RNA universe was shown to be far more complicated than previously believed with the advent of high-throughput transcriptomic approaches and computational analysis.
N6-methyladenosine (m6A), one of the more than 100 types of RNA modifications that have been identified, is the most frequent RNA modification, which is a more recent advancement in the field of epigenetics. Noncoding RNAs (ncRNAs) are transcripts that lack the properties required for protein-coding and are engaged in pathogenic processes and the disruption of homeostatic mechanisms. Important examples of these ncRNAs include circular RNAs (circRNAs), miRNAs, siRNAs, and long non-coding RNAs (lncRNAs).
The function of RNA is influenced by its location. For cellular functions including protein production and response to stimuli, subcellular RNA localization must be dynamically controlled and tuned. Researchers can now better grasp the mechanism and functional significance of RNA localization regulation during the development and cell specialization of complex tissues due to the development of spatiotemporal transcriptome.
This research topic intends to provide the latest studies on the role of RNA (such as mRNA, lncRNAs, miRNAs, and other RNAs with regulatory properties) in genetics and epigenetics, as well as their applications in human physiology, pathology, disease diagnosis, and prevention. We welcome submissions of original research and systematic review articles, including but not limited to the following topics.
• RNA interactions and competing-endogenous RNAs.
• Identity the regulators and reveal the function of RNA methylation
• The molecular mechanisms of ncRNAs and their post-transcriptional networks.
• mRNA/ncRNAs as biomarkers for the diagnosis and prognosis of human diseases
• Spatio-Temporal Transcriptome Regulation in Health and Disease
• Transcriptome-Wide Association Study
