Insights In Rna Networks And Biology
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Insights in RNA Networks and Biology
Author: André P. Gerber
language: en
Publisher: Frontiers Media SA
Release Date: 2023-04-13
We are now entering the third decade of the 21st Century, and recent, major achievements by scientists have led to major advancements in the fast-growing field of RNA Networks and Biology. This Research Topic aims to highlight the latest advancements in RNA research, and also reflect on the future of the field – what are the next expected breakthroughs and advancements? The Research Topic will collect articles from the members of our accomplished Editorial Board and is led by our Chief Editors, André Gerber and Gian Tartaglia. We are excited to receive brief, forward-looking contributions that describe the state of the art, outlining recent developments and major accomplishments that have been achieved and that need to occur to move the field forward. Authors are encouraged to identify the greatest challenges in the sub-disciplines, and how to address those challenges.
RNA Infrastructure and Networks
Author: Lesley J. Collins
language: en
Publisher: Springer Science & Business Media
Release Date: 2011-09-15
RNAs form complexes with proteins and other RNAs. The RNA‐infrastructure represents the spatiotemporal interaction of these proteins and RNAs in a cell‐wide network. RNA Infrastructure and Networks brings together these ideas to illustrate the scope of RNA‐based biology, and how connecting RNA mechanisms is a powerful tool to investigate regulatory pathways. This book is but a taste of the wide range of RNA‐based mechanisms that connect in the RNA infrastructure.
Insights in Systems Biology Research
Summary of Topic: This collection represents an interdisciplinary exploration of systems biology and systems medicine, integrating advanced methodologies from computational modeling, deep neural networks, and multiomics to improve understanding and treatment of human diseases and biological mechanisms. Emphasis is placed on cutting-edge technologies, including deep learning for statistical inference from gene expression data and noncoding genetic variants, quantitative systems pharmacology for virtual patient generation, and semi-mechanistic modeling applied to novel therapies such as CAR T-cell interventions. The articles further highlight disease modeling across various scales, exemplified through multi-scale simulation frameworks applied to complex conditions such as COVID-19 long-term sequelae, rheumatoid arthritis, epilepsy, and tuberculosis. Additionally, the importance of modularity in biological networks, developments in functional annotation of microbial transporters, and new approaches towards bioengineered bacterial consortia through molecular communication are discussed. This collection informs us of the ongoing efforts to harness computational power and biological insights to advance personalized medicine, improve therapeutic strategies, and deepen our understanding of complex biological phenomena. ----- Systems Biology has undergone significant transformations due to the pioneering efforts of researchers worldwide. The discipline now spans several subfields, such as Neuroscience, Genetics and Genomics, Medicine, among others, each advancing the field in unique ways through innovative technologies and insightful discoveries. This evolution is celebrated in a curated collection by Frontiers in Systems Biology, which aims to highlight the state-of-the-art developments and set the stage for future inquiries and applications in the field. This collection actively showcases the overlap of technology with theoretical advancements, creating a broad framework from which new methodologies and strategies are born. This Research Topic aims to provide an overview of the most recent progress in Systems Biology. It seeks to outline the impacts that the integration of disparate biological research areas can have in solving complex biological problems and advancing human health. Without losing sight of the past achievements, the goal is to explore the potential of future advancements, addressing the challenges that remain at the forefront of this vibrant field. The scope of this Research Topic is broadly defined yet focused on areas where significant innovative strides have been made. We welcome contributions that emphasize: - Integrative approaches in Systems Neuroscience - Contemporary breakthroughs in Genetics and Genomics - The use of Multiscale Mechanistic Modelling to represent biological interfaces - Bridging gaps between experimental and computational biology in Translational Systems Biology - Enhancing methodologies in Data and Model Integration This collection welcomes contributions from Editorial Board Members or those referred by a board member, reflecting on current developments and plotting pathways for upcoming research endeavors. Authors are encouraged to engage critically with their fields, identifying current challenges and proposing novel solutions to advance the understanding of complex systems within biology.