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Nominated as 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
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.
Content Level »Research
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