Biophysical Approaches to Translational Control of Gene Expression

ISBN-13: 9781489987099 / Angielski / Miękka / 2014 / 320 str.

Jonathan D. Dinman

Opis

This book provides a premier resource on understanding the ribosome's essential nature and how it interacts with other proteins and nucleic acids to control protein synthesis. As one of the central foundations in our understanding of the biology at the molecular level, this topic appeals to a wide audience, from bench researcher to clinician. With the advent of atomic scale structures, methods to visualize and separate individual molecules, and the computational power to model the complex interactions of over a million atoms at once, our understanding of how gene expression is controlled at the level of protein translation is now deeply ensconced in the biophysical realm.

Spis treści

1. X-ray analysis of prokaryotic and eukaryotic ribosomes. 
Lasse B. Jenner, Adam Ben-Shem,  Natalia Demeshkina, Marat Yusupov*, Gulnara Yusupova.  

2. A passage through the ribosome by Cryo-EM. 
Partha P. Datta and Ananya Chatterjee

3. Molecular dynamics simulations of the ribosome.
Karissa Y. Sanbonmatsu, Scott C. Blanchard and Paul C. Whitford.

4. Structural analyses of the ribosome by chemical modification methods.
Jonathan A. Leshin, Arturas Meskauskas, and Jonathan D. Dinman.

5. Methods for studying the interactions of translation factors with the ribosome. 
Assen Marintchev 

6. Riboproteomic approaches to understanding IRES elements.
Encarnacion Martinez-Salas, David Piñeiro and Noemi Fernandez.    

7. Rapid kinetic analysis of protein synthesis. 
Marina V. Rodnina and Wolfgang Wintermeyer.  

8. Investigating RNAs Involved in Translational Control by NMR and SAXS. 
Kathryn D. Mouzakis, Jordan E. Burke and Samuel E. Butcher.  

9. Analyses of RNA-ligand interactions by fluorescence anisotropy.  
Aparna Kishor, Gary Brewer, Gerald M. Wilson  

10. Approaches for the Identification and Characterization of RNA-Protein Interactions.
Saiprasad Palusa and Jeffrey Wilusz. 

11. A multidisciplinary approach to RNA Localization. 
Russell S. Hamilton, Graeme Ball and Ilan Davis.  

12. Virtual Screening for RNA-interacting Small Molecules. 
Hyun-Ju Park and So-Jung Park.   

13. The ‘fifth’ RNA nucleotide: a role for ribosomal RNA pseudouridylation in control of gene expression at the translational level.  
Mary McMahon, Cristian Bellodi, and Davide Ruggero. 

14. Translational Control of Synaptic Plasticity and Memory. 
Arkady Khoutorsky, Christos Gkogkas and Nahum Sonenberg.  

Blurb

When quantum mechanics was first proposed a century ago, nobody could have anticipated how deeply it would affect our lives.  Today, we are connected and powered through devices whose existence is predicated on the basic principles of this strange physics.  Not even the biological sciences have escaped its reach.  As scientists query the deepest mysteries of the living world, the physical scales probed and the types of questions asked are increasingly blurring the lines between biology and physics.  The hybrid field of biophysics represents the new frontier of the 21^st century.

The ribosome has been at the heart of three Nobel Prizes.  Understanding its essential nature and how it interacts with other proteins and nucleic acids to control protein synthesis has been one of the central foundations in our understanding of the biology at the molecular level.  With the advent of atomic scale structures, methods to visualize and separate individual molecules, and the computational power to model the complex interactions of over a million atoms at once, our understanding of how gene expression is controlled at the level of protein translation is now deeply ensconced in the biophysical realm. This book provides a premier resource to a wide audience, whether it be the general reader seeking a broad view of the field, a clinician interested in the role of protein translation in human disease, the bench researcher looking for state-of-the-art technologies, or computational scientists involved in cutting edge molecular modeling.