3' UTR Sequences and Syntax

3' UTR Sequences and Syntax

Author: Katla Kristjánsdóttir

Publisher:

Published: 2017

Total Pages: 282

ISBN-13:

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Regulating the precise rate of protein production from each protein-coding gene is a fundamental process of all cellular life. While transcriptional regulation plays a large role in determining final protein levels, post-transcriptional events can also make substantial contributions. In mammals, the majority of the cis-regulatory information that controls post-transcriptional events is located within a transcript’s 3′ untranslated region (3′ UTR). The cis-regulatory sequence elements (cis-elements) found within 3′ UTRs are bound by trans-acting factors, mainly RNA binding proteins and non-coding RNAs, which in turn interact with the core decay and translation machineries to modulate mRNA decay or protein synthesis rates. Though a large number of cis-elements have been identified, many questions remain about their distribution and interactions. In addition, the contribution of parameters whose function is independent of their sequence, such as the length of the 3′ UTR, to gene regulation is poorly understood. Numerous studies have established that typical 3′ UTRs contain multiple discrete cis-elements, yet the typical density of elements within 3′ UTRs is unclear. Moreover, examples exist describing consequential interactions between cis-elements, either cooperative or inhibitory. However, the extent to which such interactions are a general paradigm for cis-elements remains to be determined. By performing a systematic study of the regulatory sequences within two conserved mammalian 3′ UTRs, those of Hmga2 and PIM1, I determined that both 3′ UTRs contain a high density of cis-elements (at minimum 6 and 12 per kb, respectively) spread across the entire 3′UTR. Importantly, the vast majority of the cis-elements function independently of neighboring elements. Additionally, despite the overall repressive effect of the 3′ UTRs, I found that many regulatory cis-elements enhance gene expression, rather than repressing it. I hypothesize that the enhancing cis-elements counteract a repressive effect of 3′ UTR length. In a second study, I explored the effect of 3′ UTR length on gene expression using, as 3′UTR mimics, randomly-generated, nucleotide-composition matched, sequences of varying lengths. Long 3′ UTRs have previously been identified as targets of an mRNA surveillance mechanism called nonsense-mediated decay (NMD). In this study, I discovered a novel role for 3′ UTR length in triggering an NMD-independent decay pathway in human cell lines. Reporter transcripts with random 3′ UTR mimics as short as 400 nucleotides were repressed by this pathway, with the repression growing stronger with increasing length. While the mechanism of this novel pathway remains to be elucidated, I have determined that it affects the decay rate of mature mRNAs in a deadenylation-independent manner. Overall, by determining the density and extent of interactions of cis-element within example mammalian 3′ UTRs and by identifying a novel role for 3′ UTR length in regulating gene expression, this work furthers our understanding of fundamental aspects of 3′ UTR-mediated gene regulation. ...


Bioinformatics

Bioinformatics

Author: Andreas D. Baxevanis

Publisher: John Wiley & Sons

Published: 2020-05-12

Total Pages: 646

ISBN-13: 1119335582

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Praise for the third edition of Bioinformatics "This book is a gem to read and use in practice." —Briefings in Bioinformatics "This volume has a distinctive, special value as it offers an unrivalled level of details and unique expert insights from the leading computational biologists, including the very creators of popular bioinformatics tools." —ChemBioChem "A valuable survey of this fascinating field. . . I found it to be the most useful book on bioinformatics that I have seen and recommend it very highly." —American Society for Microbiology News "This should be on the bookshelf of every molecular biologist." —The Quarterly Review of Biolog" The field of bioinformatics is advancing at a remarkable rate. With the development of new analytical techniques that make use of the latest advances in machine learning and data science, today’s biologists are gaining fantastic new insights into the natural world’s most complex systems. These rapidly progressing innovations can, however, be difficult to keep pace with. The expanded fourth edition of the best-selling Bioinformatics aims to remedy this by providing students and professionals alike with a comprehensive survey of the current field. Revised to reflect recent advances in computational biology, it offers practical instruction on the gathering, analysis, and interpretation of data, as well as explanations of the most powerful algorithms presently used for biological discovery. Bioinformatics, Fourth Edition offers the most readable, up-to-date, and thorough introduction to the field for biologists at all levels, covering both key concepts that have stood the test of time and the new and important developments driving this fast-moving discipline forwards. This new edition features: New chapters on metabolomics, population genetics, metagenomics and microbial community analysis, and translational bioinformatics A thorough treatment of statistical methods as applied to biological data Special topic boxes and appendices highlighting experimental strategies and advanced concepts Annotated reference lists, comprehensive lists of relevant web resources, and an extensive glossary of commonly used terms in bioinformatics, genomics, and proteomics Bioinformatics is an indispensable companion for researchers, instructors, and students of all levels in molecular biology and computational biology, as well as investigators involved in genomics, clinical research, proteomics, and related fields.


Genome Annotation

Genome Annotation

Author: Jung Soh

Publisher: CRC Press

Published: 2016-04-19

Total Pages: 255

ISBN-13: 1439841187

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The success of individualized medicine, advanced crops, and new and sustainable energy sources requires thoroughly annotated genomic information and the integration of this information into a coherent model. A thorough overview of this field, Genome Annotation explores automated genome analysis and annotation from its origins to the challenges of next-generation sequencing data analysis. The book initially takes you through the last 16 years since the sequencing of the first complete microbial genome. It explains how current analysis strategies were developed, including sequencing strategies, statistical models, and early annotation systems. The authors then present visualization techniques for displaying integrated results as well as state-of-the-art annotation tools, including MAGPIE, Ensembl, Bluejay, and Galaxy. They also discuss the pipelines for the analysis and annotation of complex, next-generation DNA sequencing data. Each chapter includes references and pointers to relevant tools. As very few existing genome annotation pipelines are capable of dealing with the staggering amount of DNA sequence information, new strategies must be developed to accommodate the needs of today’s genome researchers. Covering this topic in detail, Genome Annotation provides you with the foundation and tools to tackle this challenging and evolving area. Suitable for both students new to the field and professionals who deal with genomic information in their work, the book offers two genome annotation systems on an accompanying CD-ROM.


Bioinformatics in Aquaculture

Bioinformatics in Aquaculture

Author: Zhanjiang (John) Liu

Publisher: John Wiley & Sons

Published: 2017-01-30

Total Pages: 595

ISBN-13: 1118782380

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Bioinformatics derives knowledge from computer analysis of biological data. In particular, genomic and transcriptomic datasets are processed, analysed and, whenever possible, associated with experimental results from various sources, to draw structural, organizational, and functional information relevant to biology. Research in bioinformatics includes method development for storage, retrieval, and analysis of the data. Bioinformatics in Aquaculture provides the most up to date reviews of next generation sequencing technologies, their applications in aquaculture, and principles and methodologies for the analysis of genomic and transcriptomic large datasets using bioinformatic methods, algorithm, and databases. The book is unique in providing guidance for the best software packages suitable for various analysis, providing detailed examples of using bioinformatic software and command lines in the context of real world experiments. This book is a vital tool for all those working in genomics, molecular biology, biochemistry and genetics related to aquaculture, and computational and biological sciences.


Bioinformatics

Bioinformatics

Author: David Edwards

Publisher: Springer Science & Business Media

Published: 2009-09-03

Total Pages: 450

ISBN-13: 0387927387

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Bioinformatics is a relatively new field of research. It evolved from the requirement to process, characterize, and apply the information being produced by DNA sequencing technology. The production of DNA sequence data continues to grow exponentially. At the same time, improved bioinformatics such as faster DNA sequence search methods have been combined with increasingly powerful computer systems to process this information. Methods are being developed for the ever more detailed quantification of gene expression, providing an insight into the function of the newly discovered genes, while molecular genetic tools provide a link between these genes and heritable traits. Genetic tests are now available to determine the likelihood of suffering specific ailments and can predict how plant cultivars may respond to the environment. The steps in the translation of the genetic blueprint to the observed phenotype is being increasingly understood through proteome, metabolome and phenome analysis, all underpinned by advances in bioinformatics. Bioinformatics is becoming increasingly central to the study of biology, and a day at a computer can often save a year or more in the laboratory. The volume is intended for graduate-level biology students as well as researchers who wish to gain a better understanding of applied bioinformatics and who wish to use bioinformatics technologies to assist in their research. The volume would also be of value to bioinformatics developers, particularly those from a computing background, who would like to understand the application of computational tools for biological research. Each chapter would include a comprehensive introduction giving an overview of the fundamentals, aimed at introducing graduate students and researchers from diverse backgrounds to the field and bring them up-to-date on the current state of knowledge. To accommodate the broad range of topics in applied bioinformatics, chapters have been grouped into themes: gene and genome analysis, molecular genetic analysis, gene expression analysis, protein and proteome analysis, metabolome analysis, phenome data analysis, literature mining and bioinformatics tool development. Each chapter and theme provides an introduction to the biology behind the data describes the requirements for data processing and details some of the methods applied to the data to enhance biological understanding.


Pre-mRNA Processing

Pre-mRNA Processing

Author: Angus I. Lamond

Publisher: Springer

Published: 2014-08-23

Total Pages: 221

ISBN-13: 9783662223277

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he past fifteen years have seen tremendous growth in our understanding of T the many post-transcriptional processing steps involved in producing func tional eukaryotic mRNA from primary gene transcripts (pre-mRNA). New processing reactions, such as splicing and RNA editing, have been discovered and detailed biochemical and genetic studies continue to yield important new insights into the reaction mechanisms and molecular interactions involved. It is now apparent that regulation of RNA processing plays a significant role in the control of gene expression and development. An increased understanding of RNA processing mechanisms has also proved to be of considerable clinical importance in the pathology of inherited disease and viral infection. This volume seeks to review the rapid progress being made in the study of how mRNA precursors are processed into mRNA and to convey the broad scope of the RNA field and its relevance to other areas of cell biology and medicine. Since one of the major themes of RNA processing is the recognition of specific RNA sequences and structures by protein factors, we begin with reviews of RNA-protein interactions. In chapter 1 David Lilley presents an overview of RNA structure and illustrates how the structural features of RNA molecules are exploited for specific recognition by protein, while in chapter 2 Maurice Swanson discusses the structure and function of the large family of hnRNP proteins that bind to pre-mRNA. The next four chapters focus on pre-mRNA splicing.