{"product_id":"gene-discovery-for-disease-models-isbn-9780470499467","title":"Gene Discovery for Disease Models","description":"This book provides readers with new paradigms on the mutation discovery in the post-genome era. The completion of human and other genome sequencing, along with other new technologies, such as mutation analysis and microarray, has dramatically accelerated the progress in positional cloning of genes from mutated models. In 2002, the Mouse Genome Sequencing Consortium stated that “The availability of an annotated mouse genome sequence now provides the most efficient tool yet in the gene hunter's toolkit. One can move directly from genetic mapping to identification of candidate genes, and the experimental process is reduced to PCR amplification and sequencing of exons and other conserved elements in the candidate interval. With this streamlined protocol, it is anticipated that many decades-old mouse mutants will be understood precisely at the DNA level in the near future.” The implication of such a statement should be similar to the identification of mutated genes from human diseases and animal models, when genome sequencing is completed for them. More than five years have passed, but genes in many human diseases and animal models have not yet been identified. In some cases, the identification of the mutated genes has been a bottleneck, because the genetic mechanism holds the key to understand the basis of the diseases. However, an integrative strategy, which is a combination of genetic mapping, genome resources, bioinformatics tools, and high throughput technologies, has been developed and tested. The classic paradigm of positional cloning has evolved with completely new concepts of genomic cloning and protocols. This book describes new concepts of gene discovery in the post-genome era and the use of streamlined protocols to identify genes of interest. This book helps identify not only large insertions\/deletions but also single nucleotide mutations or polymorphisms that regulate quantitative trait loci (QTL).  \u003cb\u003ePreface.\u003c\/b\u003e  \u003cp\u003e\u003cb\u003eAcknowledgments.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eContributors.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1. Gene Discovery: From Positional Cloning to Genomic Cloning (\u003c\/b\u003e\u003ci\u003eWeikuan Gu and Daniel Goldowitz).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2. High-Throughput Gene Expression Analysis and the Identification of Expression QTLs (\u003c\/b\u003e\u003ci\u003eRudi Alberts and Klaus Schughart).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3. DNA Methylation in the Pathogenesis of Autoimmunity (\u003c\/b\u003e\u003ci\u003eXueqing Xu, Ping Yang, Zhang Shu, Yun Bai, and Cong-Yi Wang).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4. Cell-Based Analysis with Microfl uidic Chip (\u003c\/b\u003e\u003ci\u003eWang Qi and Zhao Long).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5. Missing Dimension: Protein Turnover Rate Measurement in Gene Discovery (\u003c\/b\u003e\u003ci\u003eGary Guishan Xiao).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6. Bioinformatics Tools for Gene Function Prediction (\u003c\/b\u003e\u003ci\u003eYan Cui).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7. Determination of Genomic Locations of Target Genetic Loci (\u003c\/b\u003e\u003ci\u003eBo Chang).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8. Mutation Discovery Using High-Throughput Mutation Screening Technology (\u003c\/b\u003e\u003ci\u003eKai Li, Hanlin Gao, Hong-Guang Xie, Wanping Sun, and Jia Zhang).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9. Candidate Screening through Gene Expression Profile (\u003c\/b\u003e\u003ci\u003eMichal Korostynski).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10. Candidate Screening through High-Density SNP Array (\u003c\/b\u003e\u003ci\u003eChing-Wan Lam and Kin-Chong Lau).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11. Gene Discovery by Direct Genome Sequencing (\u003c\/b\u003e\u003ci\u003eKunal Ray, Arijit Mukhopadhyay, and Mainak Sengupta).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12. Candidate Screening through Bioinformatics Tools (\u003c\/b\u003e\u003ci\u003eSong Wu and Wei Zhao).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13. Using an Integrative Strategy to Identify Mutations (\u003c\/b\u003e\u003ci\u003eYan Jiao and Weikuan Gu).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14. Determination of the Function of a Mutation (\u003c\/b\u003e\u003ci\u003eBouchra Edderkaoui).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15. Confi rmation of a Mutation by Multiple Molecular Approaches (\u003c\/b\u003e\u003ci\u003eHector Martinez-Valdez and Blanca Ortiz-Quintero).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16. Confi rmation of a Mutation by MicroRNA (\u003c\/b\u003e\u003ci\u003eHongwei Zheng and Yongjun Wang).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e17. Confi rmation of Gene Function Using Translational Approaches (\u003c\/b\u003e\u003ci\u003eCaroline J. Zeiss).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e18. Confi rmation of Single Nucleotide Mutations (\u003c\/b\u003e\u003ci\u003eJochen Graw).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e19. Initial Identifi cation and Confi rmation of a QTL Gene (\u003c\/b\u003e\u003ci\u003eDavid C. Airey and Chun Li).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e20. Gene Discovery of Crop Disease in the Postgenome Era (\u003c\/b\u003e\u003ci\u003eYulin Jia).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e21. Impact of Genomewide Structural Variation on Gene Discovery (\u003c\/b\u003e\u003ci\u003eLisenka E.L.M. Vissers and Joris A. Veltman).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e22. Impact of Whole Genome Protein Analysis on Gene Discovery of Disease Models (\u003c\/b\u003e\u003ci\u003eSheng Zhang, Yong Yang, and Theodore W. Thannhauser).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIndex.\u003c\/b\u003e\u003c\/p\u003e  \u003cb\u003eWeikuan Gu\u003c\/b\u003e received his PhD from Cornell University in 1994 and joined the University of Tennessee Health Science Center as an assistant professor in 2002. Dr. Gu's lab has developed an integrated strategy for the positional cloning of genes, a strategy which has been successfully applied to clone several genes from spontaneous mouse mutations.  \u003cp\u003e\u003cb\u003eYongjun Wang\u003c\/b\u003e received his MD from Hebei Medical College in 1982 and his MBA from Peking University in 2004. Dr. Wang joined Beijing Tiantan Hospital in 2000 and now serves as the vice president of the hospital.\u003c\/p\u003e  \u003cb\u003eNew concepts in gene discovery in the post-genome era\u003c\/b\u003e  \u003cp\u003eThe completion of human and other genome sequencing, along with other new technologies, such as mutation analysis and microarray, has dramatically accelerated progress in the positional cloning of genes from mutated models. \u003ci\u003eGene Discovery for Disease Models\u003c\/i\u003e provides readers with a comprehensive understanding of the new concepts and protocols implemented in gene discovery in the present post-genome era.\u003c\/p\u003e \u003cp\u003eBacked by sound scientific findings, this informative guide not only provides a systematic introduction to the available resources and technologies for gene discovery but, most importantly, teaches readers how to use all the available tools and data to find new mutated genes. Its comprehensive coverage:\u003c\/p\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eProvides a detailed description of positional cloning and genomic cloning\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eIdentifies genes of human disease and animal models\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eSuggests new paradigms for mutation discovery in the post-genome era\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eDescribes new concepts in gene discovery in the post-genome era and the use of streamlined protocols to identify genes of interest\u003c\/p\u003e \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eGene Discovery for Disease Models\u003c\/i\u003e helps researchers to not only understand the current concepts and technologies, but also learn how to take advantage of these new resources and technologies in the future and adapt to emerging new discoveries in the genetic sciences. This book can be used as a handbook for gene cloning and discovery, as well as a reference book for teachers and students in the fields of genetics and biology.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989276082405,"sku":"NP9780470499467","price":171.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780470499467.jpg?v=1761783481","url":"https:\/\/k12savings.com\/products\/gene-discovery-for-disease-models-isbn-9780470499467","provider":"K12savings","version":"1.0","type":"link"}