This volume presents readers with up-to-date protocols, bioinformatics toolkits, and reference material for understanding circRNAs in plants. The chapters in this book summarize the concepts and techniques for prediction/identification, validation, and analysis of plant circRNAs and their regulatory targets. Some of the topics covered are procedures for circRNA identification and characterization; strategies for circRNA generation; next generation sequencing (NGS) technologies and circRNAs' research; and bioinformatics tools and pipelines for the analysis of circRNA-miRNA-mRNA regulatory networks. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.
Authoritative and practical,
Plant Circular RNAs: Methods and Protocols is an important reference for any researcher looking to explore and apply the latest developments made in this field.
Reihe
Sprache
Verlagsort
Verlagsgruppe
Illustrationen
43
43 s/w Abbildungen
X, 196 p. 43 illus.
Dateigröße
ISBN-13
978-1-0716-1645-1 (9781071616451)
DOI
10.1007/978-1-0716-1645-1
Schweitzer Klassifikation
Identification and Characterization of Plant Circular RNAs.- Experimental Strategies for Studying the Function of Plant circRNAs.- Generation of Transgenic Rice Expressing circRNA and its Functional Characterization.- Identification of Circular RNAs by Multiple Displacement Amplification and their Involvement in Plant Development.- Identification of Intronic Lariat-Derived Circular RNAs in Arabidopsis by RNA Deep Sequencing.- Identification and Functional Characterization of Viroid Circular RNAs.- Circular RNA Databases.- NGS Methodologies and Computational Algorithms for the Prediction and Analysis of Plant Circular RNAs.- Computational Analysis of Transposable Elements and circRNAs in Plants.- Constructing circRNA-miRNA-mRNA Regulatory Networks by using GreenCircRNA Database.- Methods for Predicting circRNA-miRNA-mRNA Regulatory Networks: GreenCircRNA and PlantCircNet Databases as Study Cases.
