Dentin matrix protein 1 (DMP1) is a highly phosphorylated extracellular matrix protein, predominantly expressed in osteocytes in bone. Full-length DMP1 is enzymatically processed into a 37 kDa N- and a 57 kDa C-terminal fragment in vivo. The goal of this study was to identify the cis-regulatory regions that control osteoctye-specific expression of the DMP1 gene, to determine the in vivo function of the 57 kDa C-terminal fragment and to determine the role of DMP1 in control of phosphate homeostasis.

Osteoimmunology: Interactions of the Immune and Skeletal Systems, Second Edition, explores the advancements that have been made in the field during the last 40 years, including valuable information on our understanding of the interactions between hematopoietic, immune, and bone cells, now known as the field of osteoimmunology. This comprehensive work offers the most extensive summaries of research trends in the field and their translation into new therapeutics. Early chapters deal with the development of osteoblasts, osteoclasts, hematopoietic stem cells, T and B-lymphocytes, and communications between these cellular elements, while later sections contain discussions of the signaling pathways by which RANKL influences osteoclast development and function. Subsequent chapters explore the effects that estrogen has on bone and the immune system, the development of pathologic conditions, and the growing research around osteoporosis, Paget’s disease, the genetics of bone disease, and bone cancer metastasis. Explains the intricate interaction between the immune system and bone Features detailed discussions of the key cellular and molecular mechanisms governing the homeostasis of the individual systems Facilitates greater understanding of osteoimmunologic networks, their environments, and how this understanding leads to better treatments for human diseases involving both systems

The recent revolution in the biological sciences and bioengineering, along with the advancements of modern design and manufacturing, biomaterials, biology, and biomedicine, have brought about the new field of computer-aided tissue engineering. Advances in this fascinating new area of study encompass broad applications in large-scale tissue engineering fabrication, artificial organs, orthopaedic implants, and biological chips. Computer-Aided Tissue Engineering highlights the interdisciplinary nature of this topic and reviews the current state of computer-aided three-dimensional tissue modeling, tissue classification, and tissue fabrication and implantation. Particular focus is placed on rapid prototyping and direct digital fabrication for cell and organs, construction of tissue analogs, and precursors to 3D tissue scaffolds. Written for the highly successful Methods in Molecular BiologyTM series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results. Current and practical, Computer-Aided Tissue Engineering provides a coherent framework for researchers interested in these vital technologies and for clinicians who plan to implement them.

A timely update of a highly popular handbook on statistical genomics This new, two-volume edition of a classic text provides a thorough introduction to statistical genomics, a vital resource for advanced graduate students, early-career researchers and new entrants to the field. It introduces new and updated information on developments that have occurred since the 3rd edition. Widely regarded as the reference work in the field, it features new chapters focusing on statistical aspects of data generated by new sequencing technologies, including sequence-based functional assays. It expands on previous coverage of the many processes between genotype and phenotype, including gene expression and epigenetics, as well as metabolomics. It also examines population genetics and evolutionary models and inference, with new chapters on the multi-species coalescent, admixture and ancient DNA, as well as genetic association studies including causal analyses and variant interpretation. The Handbook of Statistical Genomics focuses on explaining the main ideas, analysis methods and algorithms, citing key recent and historic literature for further details and references. It also includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between chapters, tying the different areas together. With heavy use of up-to-date examples and references to web-based resources, this continues to be a must-have reference in a vital area of research. Provides much-needed, timely coverage of new developments in this expanding area of study Numerous, brand new chapters, for example covering bacterial genomics, microbiome and metagenomics Detailed coverage of application areas, with chapters on plant breeding, conservation and forensic genetics Extensive coverage of human genetic epidemiology, including ethical aspects Edited by one of the leading experts in the field along with rising stars as his co-editors Chapter authors are world-renowned experts in the field, and newly emerging leaders. The Handbook of Statistical Genomics is an excellent introductory text for advanced graduate students and early-career researchers involved in statistical genetics.