Genomics in Endocrinology: DNA Microarray Analysis in Endocrine Health and Disease

ISBN-13: 9781588296511 / Angielski / Twarda / 2007 / 288 str.

Sturat Handwerger; Stuart Handwerger; Bruce Aronow

Opis

Genomics in Endocrinology focuses on exciting new advances in endocrinology resulting from DNA microarray studies and includes a comprehensive introduction to the use of DNA microarrays in endocrinology. The text provides the basis for further understanding of the usefulness of microarray analyses in endocrinology research. Topics discussed include the methodology of DNA microarrays and general methods for the analysis of microarray data.

Recenzje

From the reviews:

"This book is intended to introduce endocrinologists to the field of genomic analysis including both wet-bench and downstream analysis/interpretation. The work is nicely broken into application areas by field of endocrinology and therefore presents the material in a way that should be interesting to readers and applicable to their particular questions. ... The material is presented across several levels and therefore different portions should be of use to trainees, starting at the graduate level, through experienced principal investigators. ... a good addition to the canon." (Gene C Webb, Doody's Review Service, March, 2008)

"This book is aimed to bridge between the advanced knowledge acquired by new technologies in genetics and endocrinology, such as the use of microarrays. ... For geneticists and endocrinologists." (Pediatric Endocrinology Reviews, Vol. 5 (4), June, 2008)

"Contemporary Endocrinology series provides the necessary insight into DNA microarray technology and some of its applications in endocrinology, serving as a critical guide to scientists using the technology, as well as a primary source of information for the clinical endocrinologists, about the results obtained to date. ... This volume is an indispensable guide to the new and exciting world of genome-wide transcription analysis and its applications in endocrinology." (Serban Radian, Acta Endocrinologica, Vol. 1, 2009)

Spis treści

Handwerger Table of Contents introduction Chapter 1: Microarray-based Gene Expression Analysis of Endocrine Systems: Principles of Experimental Design and Interpretation Jegga, Anil G., Bruce J Aronow, Stuart Handwerger hormone action and molecular mechanisms Chapter 2: Expression Profiles and Transcription Factors Involved in Parathyroid Hormone Signaling in Osteoblastic Cells Gene Ling Qin, Ping Qui, Nicola C. Partridge Chapter 3: Analysis of Growth Hormone effects on hepatic gene expression in hypophysectomized rats. Amilcar Flores-Morales and Leandro Fernandez-Perez Chapter 4: Gene expression profiling in leiomyoma in response to GnRH therapy and TGF-b Nasser Chegini and Xiaoping Luo Chapter 5: Gene Profiling Analysis of Androgen Receptor Mediated Function Comstock, Clay E.S.,Craig J. Burd, Walter J. Jessen, Karen E. Knudsen Chapter 6: Interrogating Estrogen Receptor Signaling in Breast Cancer by Chromatin Immunoprecipitation Microarrays Cheng, Alfred S.L., Huey-Jen Lin, and Tim H.-M. Huang Chapter 7: Gene expression analysis of adrenal cortex in health and disease Anelia Horvath and Constantine A. Stratakis endocrine producing tissues Chapter 8: DNA microarray analysis of decidualization Ori Eyal, MD and Stuart Handwerger, MD Chapter 9: Large scale DNA Microarray data analysis reveals glucocorticoid receptor-mediated breast cancer cell survival pathways Min Zou, Wei Wu, and Suzanne D. Conzen Chapter 10: Application of Microarrays for gene transcript analysis in type 2 diabetes R. Sreekumar, C. P. Kolbert, Y. Asmann, and K.S.Nair Chapter 11: DNA Microarray Analysis and Effects of TSH, Iodide, Cytokines and Therapeutic Agents on Gene Expression in Cultured Human Thyroid Follicles Kanji Sato, Kazuko Yamazaki, Emiko Yamada diseases of hormonal systems Chapter 12: Genomics and Polycystic Ovary Syndrome (PCOS): the Use of Microarray Analysis to Identify New Candidate Genes Jennifer R. Wood, PhD and Jerome F. Strauss, III MD, PhD Chapter 13: Microarray Analysis of Alterations Induced by Obesity in White Adipose Tissue Gene Expression Profiling Julien Tirard, Ricardo Moraes, Danielle Naville, and Martine Begeot Chapter 14: Novel Molecular Signaling and Classification of Human Clinically Nonfunctioning Pituitary Adenomas Identified by Microarray and Reverse Transcription-Quantitative Polymerase Chain Reaction Chheng-Orn Evans, Carlos S. Moreno, Nelson M. Oyesiku Chapter 15: Gene Expression Studies of Prostate Hyperplasia in Prolactin Transgenic Mice Karin Dillner PhD, Jon Kindlom MD, PhD, Amilcar Flores-Morales PhD, and Hagan Wennbo MD, PhD

Blurb

In recent years, the development of new technologies capable of monitoring genome function has resulted in fewer hopeful estimates and increasingly solid depictions of genome output from individual samples. Genomics in Endocrinology focuses on exciting new advances in endocrinology resulting from DNA microarray studies and includes a comprehensive introduction to the use of DNA microarrays in endocrinology. The volume provides the basis for further understanding of the usefulness of microarray analyses in endocrinology research. Topics discussed are the methodology of DNA microarrays and general methods for the analysis of microarray data, as well as studies of a wide variety of normal and abnormal endocrine cells.

In the introductory chapter, the volume’s editors describe several issues in hypothesis formulation, experimental design, data analysis, and follow-up studies that may corroborate, validate, and extend hypotheses gained through microarray analyses. The contributed chapters span a variety of applications that we have divided into the areas of (1) genomic insights into molecular mechanisms responsible for hormone action, (2) genomic characterizations of endocrine producing tissues, and (3) genomic manifestations of diseases of hormonal systems.

A volume on the cutting-edge of technology, Genomics in Endocrinology will provide researchers with an authoritative volume on the most recent advances in monitoring genome function.