RNA Interaction Format: a General Data Format for RNA Interactions PDF Download

Author: Richard A. Schäfer
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
Abstract: Summary RNA molecules play crucial roles in various biological processes. They mediate their function mainly by interacting with other RNAs or proteins. At present, information about these interactions is distributed over different resources, often providing the data in simple tab-delimited formats that differ between the databases. There is no standardized data format that can capture the nature of all these different interactions in detail. Availability and implementation Here, we propose the RNA interaction format (RIF) for the detailed representation of RNA-RNA and RNA-Protein interactions and provide reference implementations in C/C++, Python, and JavaScript. RIF is released under licence GNU General Public License version 3 (GNU GPLv3) and is available on https://github.com/RNABioInfo/rna-interaction-format

Author: Frank J. Schmidt
Publisher: Humana
ISBN: 9781493941612
Category : Medical
Languages : en
Pages : 0

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Book Description
In this volume expert researchers in the field detail many of the methods which are now commonly used to study RNA. These methods are presented as a guidebook to scientists who are experienced with RNA research and want to brush up on a new technique. 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 key tips on troubleshooting and avoiding known pitfalls. Thorough and intuitive, RNA-RNA Interactions: Methods and Protocols guides scientists investigating biological systems and studying RNA.

Author: Phoebe A. Rice
Publisher: Royal Society of Chemistry
ISBN: 0854042725
Category : Science
Languages : en
Pages : 417

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Book Description
This book provides both in-depth background and up-to-date information in this area. The chapters are organized by general themes and principles, written by experts who illustrate topics with current findings. Topics covered include: - the role of ions and hydration in protein-nucleic acid interactions - transcription factors and combinatorial specificity - indirect readout of DNA sequence - single-stranded nucleic acid binding proteins - nucleic acid junctions and proteins, - RNA protein recognition - recognition of DNA damage. It will be a key reference for both advanced students and established scientists wishing to broaden their horizons.

Author: Susan R. Haynes
Publisher: Springer Science & Business Media
ISBN: 1592596762
Category : Science
Languages : en
Pages : 485

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Book Description
The molecular characterization of RNA and its interactions with proteins is an important and exciting area of current research. Organisms utilize a variety of RNA–protein interactions to regulate the expression of their genes. This is particularly true for eukaryotes, since newly synthesized messenger RNA must be extensively modified and transported to the cytoplasm before it can be used for protein synthesis. The realization that posttranscriptional processes are critical components of gene regulation has sparked an explosion of interest in both stable ribonucleoprotein (RNP) complexes and transient RNA–protein interactions. RNA is conformationally flexible and can adopt complex structures that provide diverse surfaces for interactions with proteins. The fact that short RNA molecules (aptamers; see Chapter 16) can be selected to bind many different types of molecules is evidence of the structural variability of RNA. RNA molecules are rarely entirely single- or double-stranded, but usually contain multiple short duplexes interrupted by single-stranded loops and bulges; in some RNAs, such as tRNAs, the short duplexes stack on each other. Further variability is generated by the presence of non-Watson-Crick base pairs, modified nucleotides, and more complex structures, such as pseudoknots and triple-strand interactions.

Author: Christopher W.J. Smith
Publisher: Oxford University Press, UK
ISBN: 0191591629
Category :
Languages : en
Pages : 370

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Book Description
RNA-protein interactions play a fundamental role in gene expression and protein synthesis. Recent research into the role of RNA in cells has elucidated many more vital interactions with proteins. This book provides an up-to-date and comprehensive guide to a wide range of laboratory procedures to investigate the interactions between RNA and proteins. - ;RNA-protein interactions play a vital role in gene transcription and protein expression. Interactions such as the synthesis of mRNA by RNA polymerases, to the essential modification of RNA by the proteins of the spliceosome complex, and the highly catalytic action of the ribosome in protein synthesis, are established as being fundamental to the function of RNA. Recent research into, for example, the role of RNA as a catalyst, has elucidated many more interactions with proteins that are vital to cell function. RNA - Protein Interactions: A Practical Approach provides a clear and comprehensive guide to the experimental procedures used in studying RNA - protein interactions. The approaches covered range from those initially used to detect a novel RNA-protein interaction, various biochemical and genetic approaches to purifying and cloning RNA binding proteins, through to methods for an in depth analysis of the structural basis of the interaction. The volume includes a number of procedures that have not previously been covered in this type of manual. These include the production of site-specifically modified RNAs by enzymatic and chemical methods and in vivo screening for novel RNA - protein interactions in yeast and E. coli . This is the first volume to gather in one place this wide array of approaches for studying RNA - protein interactions. As is customary for the Practical Approach series, the writing is characterized by a clear explanatory style with many detailed protocols. This informative book will be a valuable aid to laboratory workers in biochemistry and molecular biology - graduate students, postdoctoral and senior scientists - whose research encompasses this field. -

Author: Ren-Jang Lin
Publisher: Springer Nature
ISBN: 1071631918
Category : Science
Languages : en
Pages : 349

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Book Description
This second edition updates, complements, and expands upon the first edition by providing a collection of cutting-edge techniques developed or refined in the past few years along with tried-and-true methods. Chapters explore the isolation and characterization of RNA-protein complexes, the analysis and measurement of RNA-protein interaction, and related novel techniques and strategies. Written in the highly successful Methods in Molecular Biology series format, the chapters include brief introductions to the material, lists of necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and a Notes section which highlights tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, RNA-Protein Complexes and Interactions: Methods and Protocols, Second Edition aims to be comprehensive guide for researchers in the field.

Author: Geoffrey J. McLachlan
Publisher: John Wiley & Sons
ISBN: 0471726125
Category : Mathematics
Languages : en
Pages : 366

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Book Description
A multi-discipline, hands-on guide to microarray analysis of biological processes Analyzing Microarray Gene Expression Data provides a comprehensive review of available methodologies for the analysis of data derived from the latest DNA microarray technologies. Designed for biostatisticians entering the field of microarray analysis as well as biologists seeking to more effectively analyze their own experimental data, the text features a unique interdisciplinary approach and a combined academic and practical perspective that offers readers the most complete and applied coverage of the subject matter to date. Following a basic overview of the biological and technical principles behind microarray experimentation, the text provides a look at some of the most effective tools and procedures for achieving optimum reliability and reproducibility of research results, including: An in-depth account of the detection of genes that are differentially expressed across a number of classes of tissues Extensive coverage of both cluster analysis and discriminant analysis of microarray data and the growing applications of both methodologies A model-based approach to cluster analysis, with emphasis on the use of the EMMIX-GENE procedure for the clustering of tissue samples The latest data cleaning and normalization procedures The uses of microarray expression data for providing important prognostic information on the outcome of disease

Author: Kiyoshi Nagai
Publisher: Oxford University Press, USA
ISBN:
Category : Medical
Languages : en
Pages : 302

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Book Description
The study of RNA-protein interactions is crucial to understanding the mechanisms and control of gene expression and protein synthesis. The realization that RNAs are often far more biologically active than was previously appreciated has stimulated a great deal of new research in this field. Uniquely, in this book, the world's leading researchers have collaborated to produce a comprehensive and current review of RNA-protein interactions for all scientists working in this area. Timely, comprehensive, and authoritative, this new Frontiers title will be invaluable for all researchers in molecular biology, biochemistry and structural biology.

Author: Michael Uhl
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
Abstract: This dissertation is about the computational analysis and prediction of RNA-protein interactions. Ribonucleic acids (RNAs) and proteins both are essential for the control of gene expression in our cells. Gene expression is the process by which a functional gene product, namely a protein or an RNA, is produced from a gene, starting from the gene region on the DNA with the transcription of an RNA. Once regarded primarily as a messenger to transmit the protein information, recent years have seen RNA moving further into the biomedical spotlight, thanks to its increasingly uncovered roles in regulating gene expression. In addition, RNA has showcased its therapeutic potential, as famously demonstrated by the groundbreaking success of RNA vaccines in the COVID-19 pandemic. However, RNAs rarely function on their own: In humans, more than 1,500 different RNA-binding proteins (RBPs) are involved in controlling the various stages of an RNA's life cycle, creating a highly complex regulatory interplay between RNAs and proteins. It is therefore of fundamental importance to study these RNA-protein interactions, in order to deepen our understanding of gene expression. Over the last decade, CLIP-seq has become the dominant experimental method to identify the set of cellular RNA binding sites for an RBP of interest. However, analysing the resulting CLIP-seq data can be challenging, as there are many analysis steps and CLIP-seq protocol variants available, each requiring specific adaptations to the analysis workflow. Consequently, there is a need for analysis guidelines, providing easy access to tools, as well as the constant improvement of tools and workflows to increase the accuracy of the analysis results. The first set of works included in this thesis (publications P1, P4, and P5) deals with these topics, by providing a review article on CLIP-seq data analysis, as well as two articles on how to further improve CLIP-seq data analysis. Publication P1 supplies readers with an overview of tools and protocols, as well as guidelines to conduct a successful analysis, drawing largely from our own experience with analysing CLIP-seq data. Publication P4 demonstrates the issues current binding site identification tools have with CLIP-seq data from RBPs that bind to processed RNAs, and that the integration of RNA processing information improves the resulting binding site quality. On top of this, publication P5 presents Peakhood, the first tool that utilizes RNA processing information in order to increase the quality of RBP binding sites identified from CLIP-seq data. A natural drawback of experimental methods is that a target RNA needs to be sufficiently expressed in the observed cells for an RNA-protein interaction to be detected. Hence, since gene expression is a dynamic process that differs between cell types, time points, and conditions, a CLIP-seq experiment cannot recover the complete set of cellular RBP binding sites. This creates a demand for computational methods which can learn the binding properties of an RBP from existing CLIP-seq data, in order to predict RBP binding sites on any given target RNA. Besides interacting with proteins, RNAs can also interact with other RNAs, further increasing the amount of possible regulatory interactions between RNAs and proteins. In this regard, long non-coding RNAs (lncRNAs), a large class of non-protein-coding RNAs whose functions are still vastly unexplored, have become especially important, as it has been shown that they can engage in RNA-RNA interactions, whose regulatory mechanisms also include RNA-protein interactions. As such mechanistic studies are typically slow and expensive, computational tools that combine RNA-protein and RNA-RNA interaction predictions to infer potential mechanisms could be of great help, e.g., by screening a set of target RNAs and proteins and suggesting plausible mechanisms for experimental validation. The second set of works included in this thesis (publications P2 and P3) thus deals with the computational prediction of RNA-protein interactions, RNA-RNA interactions and the functional mechanisms that can be inferred from these interactions. Publication P2 introduces MechRNA, the first tool to infer functional mechanisms of lncRNAs based on their predicted interactions with RBPs and other RNAs, as well as gene expression data. We demonstrated MechRNA's capability to identify formerly described lncRNA mechanisms and experimentally validated one prediction, underlining its value for functional lncRNA studies. Finally, publication P3 presents RNAProt, a flexible and performant RBP binding site prediction tool based on recurrent neural networks. Compared to other popular deep learning methods, RNAProt achieves state-of-the-art predictive performance, as well as superior runtime efficiency. In addition, it is more feature-rich than any other available method, including the support of user-defined predictive features. We further showed that its visualizations agree with known RBP binding preferences, and demonstrated that its additional predictive features can increase the specificity of predictions

Author: Aidong Zhang
Publisher: Cambridge University Press
ISBN: 1139479032
Category : Computers
Languages : en
Pages : 283

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Book Description
The analysis of protein-protein interactions is fundamental to the understanding of cellular organization, processes, and functions. Proteins seldom act as single isolated species; rather, proteins involved in the same cellular processes often interact with each other. Functions of uncharacterized proteins can be predicted through comparison with the interactions of similar known proteins. Recent large-scale investigations of protein-protein interactions using such techniques as two-hybrid systems, mass spectrometry, and protein microarrays have enriched the available protein interaction data and facilitated the construction of integrated protein-protein interaction networks. The resulting large volume of protein-protein interaction data has posed a challenge to experimental investigation. This book provides a comprehensive understanding of the computational methods available for the analysis of protein-protein interaction networks. It offers an in-depth survey of a range of approaches, including statistical, topological, data-mining, and ontology-based methods. The author discusses the fundamental principles underlying each of these approaches and their respective benefits and drawbacks, and she offers suggestions for future research.