Cell biology is a rapidly advancing subject. Understanding principles of nuclear architecture is a key question. Researchers are starting to develop more strict and rigorous methods of image processing and quantitative analysis to provide an end-to-end process supporting the fundamental biology.
This book has chapters contributed by experts in the field that address the whole endeavour of teasing out the principles of nuclear architecture: ranging from fundamental science, through imaging processing and quantitative analysis, to applications, related to disease. This material is focussed on the latest breakthroughs, and moreover will emphasise a strict and rigorous development of the scientific process. A systems view is stressed where relevant. The objective is not to provide an encyclopaedic compendium of nuclear architecture information, but rather to present state of the art tools in specific contexts, which will readily generalise.
State of the art reviews from top researchers
Balanced emphasis on biological insight and quantitative analysis
First book on nuclear architecture that contains an emphasis on quantitative analysis
This book provides a snapshot of the state-of-the art in the study of mammalian cell nuclear architecture, and features a diverse range of chapters written by top researchers. A key aspect is an emphasis on precise and repeatable quantitative analysis and simulation in addition to the more familiar biological perspective. The fusion of such material frames the future of the discipline.
Quantitative contributions stress reproducible and robust 3D analysis, using a variety of tools ranging from point pattern analysis to shape registration methods. Biological insights include the role of nuclear subdomains in cancer, nuclear molecular motors, and a holistic view of gene transcription.
Foreword; Nuclear subdomains and cancer, Kendra L. Cann, Sui Huang and Graham Dellaire; Spatial point process analysis of Promyelocytic Leukemia nuclear bodies, Philip P. Umande and David A. Stephens; Quantitative approaches to nuclear architecture analysis and modeling, D. Hübschmann, N. Kepper, C. Cremer and G. Kreth; Statistical shape theory and registration methods for analyzing the 3D architecture of chromatin in interphase cell nuclei, Siwei Yang, Doris Illner, Kathrin Teller, Irina Solovei, Roel van Driel, Boris Joffe, Thomas Cremer, Roland Eils, Karl Rohr; Nuclear molecular motors for active, directed chromatin movement in interphase nuclei, Joanna M. Bridger and Ishita S. Mehta; Methodology for quantitative analysis of 3-D nuclear architecture, Richard A. Russell, Niall. M. Adams, David A. Stephens, Elizabeth Batty, Kirsten Jensen and Paul S. Freemont; Thinking holistically about gene transcription, Dean A. Jackson; Index