Authors:
- Nominated as an outstanding PhD thesis by Max Delbrueck Center for Molecular Medicine, Germany
- Combines concepts and approaches from physics with high-throughput data to model gene regulation and answer biological questions
- Offers theoretical, computational and biological contributions to the study of the transcriptome
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Theses (Springer Theses)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
The work described in this book is an excellent example of interdisciplinary research in systems biology. It shows how concepts and approaches from the field of physics can be efficiently used to answer biological questions and reports on a novel methodology involving creative computer-based analyses of high-throughput biological data. Many of the findings described in the book, which are the result of collaborations between the author (a theoretical scientist) and experimental biologists and between different laboratories, have been published in high-quality peer-reviewed journals such as Molecular Cell and Nature. However, while those publications address different aspects of post-transcriptional gene regulation, this book provides readers with a complete, coherent and logical view of the research project as a whole. The introduction presents post-transcriptional gene regulation from a distinct angle, highlighting aspects of information theory and evolution and laying the groundwork for the questions addressed in the subsequent chapters, which concern the regulation of the transcriptome as the primary functional carrier of active genetic information.
Keywords
- Binding site occupancy
- CDR1as
- Competing RNA
- ELAVL1 HuR
- Model of ELAVL1 binding
- PAR-CLIP clusters and filtering
- PAR-CLIP computational pipeline
- Post-transcriptional regulation
- RNA competition theory
- RNA-binding proteins
- Sponge RNA
- circRNA detection from sequencing data
- miR-7 sponge
- systems biology
- gene expression
Authors and Affiliations
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Max Delbrueck Center for Molecular Medicine, Systems Biology of Gene Regulatory Elements, Berlin Institute for Medical Systems Biology (BIMSB), Berlin, Germany
Marvin Jens
Bibliographic Information
Book Title: Dissecting Regulatory Interactions of RNA and Protein
Book Subtitle: Combining Computation and High-throughput Experiments in Systems Biology
Authors: Marvin Jens
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-3-319-07082-7
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-07081-0Published: 05 June 2014
Softcover ISBN: 978-3-319-36117-8Published: 10 September 2016
eBook ISBN: 978-3-319-07082-7Published: 20 May 2014
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XVIII, 99
Number of Illustrations: 19 b/w illustrations, 19 illustrations in colour
Topics: Computational Intelligence, Systems Biology, Gene Expression, Biochemistry, general