Mouse Models of Human Blood Cancers (eBook, PDF)

Basic Research and Pre-clinical Applications
Redaktion: Li, Shaoguang

• Format: PDF

Produktbeschreibung

Although it remains an open question among some people whether mice and humans are similar in disease development, the laboratory mouse has emerged as the preeminent animal model for human diseases. This is underscored by the recently completed mouse and human genome projects, which have revealed that mice and humans share the vast majority of their genes, and thus get many of the same diseases, and for the same reasons. Emphasizing why mouse models are valuable in vivo systems for understanding disease mechanisms and developing therapeutic strategies for human blood cancers, "Mouse Models of Human Blood Cancers: Basic Research and Pre-clinical Applications," edited by Shaoguang Li, aims on presenting thorough analyses of the pathological features and the molecular bases of several major types of blood cancer and to describe translational research using mouse cancer models.

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 293
• Erscheinungstermin: 19. Dezember 2008
• Englisch
• ISBN-13: 9780387691329
• Artikelnr.: 37287454

Inhaltsangabe

Mouse Models of Myeloproliferative Disease Associated with Mutant JAK2 Tyrosine Kinase: Insights into Pathophysiology and Therapy.- Genetic Modeling of Human Blood Cancers in Mice.- Murine Models of Hematopoietic Disease: Pathologic Analysis and Characterization.- Mechanisms of DNA Double-Strand Break Repair in Hematopoietic Homeostasis and Oncogenesis.- Modeling Human Leukemia Using Immune-Compromised Mice.- Dietary Restriction: A Model System Probing the Cell Fate Decision Between Cancer and Senescence.- Modeling Human Philadelphia Chromosome-Positive Leukemia in Mice.- Mouse Models of Human Mature B-Cell and Plasma Cell Neoplasms.- Genetic and Virological Predisposition to Pre-B Lymphomagenesis in SL/Kh.- Animal Cancer Models in Anticancer Drug Discovery and Development.- DGL Global Strategies in DNA Microarray Gene Expression Analysis and Data Mining for Human Blood Cancers.