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MARC Record from marc_columbia

Record ID marc_columbia/Columbia-extract-20221130-011.mrc:205603868:5363
Source marc_columbia
Download Link /show-records/marc_columbia/Columbia-extract-20221130-011.mrc:205603868:5363?format=raw

LEADER: 05363cam a22004934a 4500
001 5352636
005 20221110023850.0
008 040413t20042004nyua b 001 0 eng
010 $a 2004275369
015 $aGBA4-X4842
016 7 $a101230049$2DNLM
020 $a0824754301 (alk. paper)
035 $a(OCoLC)ocm56363220
035 $a(NNC)5352636
035 $a5352636
040 $aNLM$cNLM$dDLC$dTEF$dCUX$dAGL$dOrLoB-B
042 $apcc
050 00 $aQP144.G45$bG46 2004
060 00 $a2004 K-645
060 10 $aQU 145$bG335 2004
070 0 $aRM214$b.M872 no. 1
082 04 $a612.39$222
245 00 $aGenomics and proteomics in nutrition /$cedited by Carolyn D. Berdanier and Naima Moustaid-Moussa.
260 $aNew York :$bMarcel Dekker,$c[2004], ©2004.
300 $axiii, 507 pages :$billustrations ;$c24 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aNutrition in health and disease (New York, N.Y. : 2004) ;$v1
504 $aIncludes bibliographical references and index.
505 00 $g1.$tGenetic modifiers in rodent models of obesity /$rYun Wang, Patsy M. Nishina and Jurgen K. Naggert -- $g2.$tQuantitative trait loci in obesity and type II diabetes in rodents /$rJung Han Kim -- $g3.$tThe human sweet tooth and its relationship to obesity /$rAmanda H. McDaniel and Danielle R. Reed -- $g4.$tThe adipose renin-angiotensin system : genetics, regulation, and physiologic function /$rBrynn H. Voy, Suyeon Kim, Sumithra Urs, Melissa Derfus, Young-Ram Heo, Rashika Joshi, Florence Massiera, Michele Teboul, Gerard Ailhaud, Annie Quignard-Boulange and Naima Moustaid-Moussa -- $g5.$tRegulation of fat synthesis and adipogenesis /$rKee-Hong Kim, Michael J. Griffin, Josep A. Villena and Hei Sook Sul -- $g6.$tTranscriptional regulation of energy metabolism in liver /$rManabu T. Nakamura -- $g7.$tDesign and analysis of microarray studies for obesity research /$rMarie-Pierre St-Onge, Steven B. Hy-msfield, Grier P. Page, Kui Zhang, Kyoungmi Kim, Maria DeLuca and David B. Allison -- $g8.$tSolving clinical problems in nutrition research with microarrays /$rSteven R. Smith, Andrey Ptitsyn, Dawn M. Graunke, Hui Xie and Robert A. Koza -- $g9.$tGenomic approaches to understanding vitamin D action /$rJames C. Fleet -- $g10.$tGene expression profiling in adipose tissue /$rNaima Moustaid-Moussa, Sumithra Urs, Brett Campbell, Hyoung Yon Kim, Suyeon Kim, Patrick Wortman, Richard Giannone, Bing Zhang, Jay Snoddy and Brynn H. Voy -- $g11.$tPhytochemicals and gene expression /$rOrsolya Mezei and Neil F. Shay -- $g12.$tGene expression profiling of immune cells : application for understanding aging of immune cells /$rSung Nim Han and Simin Nikbin Meydani -- $g13.$tImproving the nutritional value of cereal grains using a genomic approach /$rLiang Shi and Tong Zhu -- $g14.$tProteomics and genomics to detail responses to extracellular stimuli /$rJames A. Carroll and Clayton E. Mathews -- $g15.$t2D gel proteomics studies on leukocytes /$rIvan C. Gerling and Michael J. Pabst -- $g16.$tProteomics : tools for nutrition research in the postgenomic era /$rArthur Grider -- $g17.$tProteomic analysis of the adipocyte secretome /$rNieves Ibarrola, Akhilesh Pandey and Chaerkady Raghothama -- $g18.$tMass spectrometry strategies for proteomic studies /$rMaya Belghazi and Helene Rogniaux -- $g19.$tBioinformatics tools /$rSimon M. Lin, Kimberly F. Johnson and Seth W. Kullman -- $g20.$tStatistical principles for analysis of array experiments /$rArnold M. Saxton and E. Barry Moser.
520 1 $a"Genomics and Proteomics in Nutrition investigates the latest proteomic studies for clear understanding of the role of nutrients and drugs in nutrient and cellular metabolism ... explores advances in our understanding of obesity, birth defects, and cancer ... presents selected examples showcasing the effect of phytochemicals on gene expression in different model systems ... strives to identify molecular markers associated with various disease states for improved diagnostic and treatment regimens ... and familiarizes the clinical investigator with day-to-day problems encountered in the design, implementation, and evaluation of microarray analysis of clinical samples and provides the background necessary to develop solutions to these problems."--BOOK JACKET.
650 12 $aGenomics.$0https://id.nlm.nih.gov/mesh/D023281
650 12 $aNutritional Physiological Phenomena.$0https://id.nlm.nih.gov/mesh/D009747
650 22 $aGene Expression.$0https://id.nlm.nih.gov/mesh/D015870
650 22 $aProteomics.$0https://id.nlm.nih.gov/mesh/D040901
650 22 $aGenetic Variation.$0https://id.nlm.nih.gov/mesh/D014644
650 0 $aNutrition$xGenetic aspects.$0http://id.loc.gov/authorities/subjects/sh85093454
650 0 $aGenomics.$0http://id.loc.gov/authorities/subjects/sh2002000809
650 0 $aProteomics.$0http://id.loc.gov/authorities/subjects/sh2002000814
700 1 $aBerdanier, Carolyn D.$0http://id.loc.gov/authorities/names/n92043836
700 1 $aMoustaid-Moussa, Naima.$0http://id.loc.gov/authorities/names/n2001126898
830 0 $aNutrition in health and disease (New York, N.Y. : 2004) ;$v1.$0http://id.loc.gov/authorities/names/n2004123637
856 41 $3Table of contents$uhttp://www.loc.gov/catdir/toc/fy052/2004275369.html
852 00 $boff,hsl$hQP144.G45$iG46 2004