Small-Molecule Binding Sites to Explore New Targets in the Cancer Proteome
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The Landscape of Cancer Cell Line Metabolism
The Landscape of Cancer Cell Line Metabolism The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Li, Haoxin, Shaoyang Ning, Mahmoud Ghandi, Gregory V. Kryukov, Shuba Gopal, Amy Deik, Amanda Souza, et. al. 2019. The Landscape of Cancer Cell Line Metabolism. Nature Medicine 25, no. 5: 850-860. Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:41899268 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA HHS Public Access Author manuscript Author ManuscriptAuthor Manuscript Author Nat Med Manuscript Author . Author manuscript; Manuscript Author available in PMC 2019 November 08. Published in final edited form as: Nat Med. 2019 May ; 25(5): 850–860. doi:10.1038/s41591-019-0404-8. The Landscape of Cancer Cell Line Metabolism Haoxin Li1,2, Shaoyang Ning3, Mahmoud Ghandi1, Gregory V. Kryukov1, Shuba Gopal1, Amy Deik1, Amanda Souza1, Kerry Pierce1, Paula Keskula1, Desiree Hernandez1, Julie Ann4, Dojna Shkoza4, Verena Apfel5, Yilong Zou1, Francisca Vazquez1, Jordi Barretina4, Raymond A. Pagliarini4, Giorgio G. Galli5, David E. Root1, William C. Hahn1,2, Aviad Tsherniak1, Marios Giannakis1,2, Stuart L. Schreiber1,6, Clary B. Clish1,*, Levi A. Garraway1,2,*, and William R. Sellers1,2,* 1Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA 2Department -
Deregulated Gene Expression Pathways in Myelodysplastic Syndrome Hematopoietic Stem Cells
Leukemia (2010) 24, 756–764 & 2010 Macmillan Publishers Limited All rights reserved 0887-6924/10 $32.00 www.nature.com/leu ORIGINAL ARTICLE Deregulated gene expression pathways in myelodysplastic syndrome hematopoietic stem cells A Pellagatti1, M Cazzola2, A Giagounidis3, J Perry1, L Malcovati2, MG Della Porta2,MJa¨dersten4, S Killick5, A Verma6, CJ Norbury7, E Hellstro¨m-Lindberg4, JS Wainscoat1 and J Boultwood1 1LRF Molecular Haematology Unit, NDCLS, John Radcliffe Hospital, Oxford, UK; 2Department of Hematology Oncology, University of Pavia Medical School, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy; 3Medizinische Klinik II, St Johannes Hospital, Duisburg, Germany; 4Division of Hematology, Department of Medicine, Karolinska Institutet, Stockholm, Sweden; 5Department of Haematology, Royal Bournemouth Hospital, Bournemouth, UK; 6Albert Einstein College of Medicine, Bronx, NY, USA and 7Sir William Dunn School of Pathology, University of Oxford, Oxford, UK To gain insight into the molecular pathogenesis of the the World Health Organization.6,7 Patients with refractory myelodysplastic syndromes (MDS), we performed global gene anemia (RA) with or without ringed sideroblasts, according to expression profiling and pathway analysis on the hemato- poietic stem cells (HSC) of 183 MDS patients as compared with the the French–American–British classification, were subdivided HSC of 17 healthy controls. The most significantly deregulated based on the presence or absence of multilineage dysplasia. In pathways in MDS include interferon signaling, thrombopoietin addition, patients with RA with excess blasts (RAEB) were signaling and the Wnt pathways. Among the most signifi- subdivided into two categories, RAEB1 and RAEB2, based on the cantly deregulated gene pathways in early MDS are immuno- percentage of bone marrow blasts. -
Systematic Screening for Potential Therapeutic Targets in Osteosarcoma Through a Kinome-Wide CRISPR-Cas9 Library
Cancer Biol Med 2020. doi: 10.20892/j.issn.2095-3941.2020.0162 ORIGINAL ARTICLE Systematic screening for potential therapeutic targets in osteosarcoma through a kinome-wide CRISPR-Cas9 library Yuanzhong Wu*, Liwen Zhou*, Zifeng Wang, Xin Wang, Ruhua Zhang, Lisi Zheng, Tiebang Kang Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China ABSTRACT Objective: Osteosarcoma is the most common primary malignant bone tumor. However, the survival of patients with osteosarcoma has remained unchanged during the past 30 years, owing to a lack of efficient therapeutic targets. Methods: We constructed a kinome-targeting CRISPR-Cas9 library containing 507 kinases and 100 nontargeting controls and screened the potential kinase targets in osteosarcoma. The CRISPR screening sequencing data were analyzed with the Model-based Analysis of Genome-wide CRISPR/Cas9 Knockout (MAGeCK) Python package. The functional data were applied in the 143B cell line through lenti-CRISPR-mediated gene knockout. The clinical significance of kinases in the survival of patients with osteosarcoma was analyzed in the R2: Genomics Analysis and Visualization Platform. Results: We identified 53 potential kinase targets in osteosarcoma. Among these targets, we analyzed 3 kinases, TRRAP, PKMYT1, and TP53RK, to validate their oncogenic functions in osteosarcoma. PKMYT1 and TP53RK showed higher expression in osteosarcoma than in normal bone tissue, whereas TRRAP showed no significant difference. High expression of all 3 kinases was associated with relatively poor prognosis in patients with osteosarcoma. Conclusions: Our results not only offer potential therapeutic kinase targets in osteosarcoma but also provide a paradigm for functional genetic screening by using a CRISPR-Cas9 library, including target design, library construction, screening workflow, data analysis, and functional validation. -
Funkce CDK12 a CDK13 V Regulaci Transkripce Hana Paculová
MASARYKOVA UNIVERZITA PŘÍRODOVĚDECKÁ FAKULTA ÚSTAV BIOCHEMIE Funkce CDK12 a CDK13 v regulaci transkripce Disertační práce Hana Paculová Školitel: Mgr. Jiří Kohoutek, Ph.D Brno 2018 Bibliogra cký záznam Autorka: Mgr. Hana Paculová Prrodovedecáá aaául,a鏈 Maaarkáova unvverv,a Úa,av bvochemve Název práce: Funáce CDK12 a CDK13 v regulacv ,ranaárvpce Studijní program: Bvochemve Studijní obor: Bvochemve Školitel: Mgr. Jvr Kohou,eá鏈 Ph.D Akademický rok: 2017/2018 Po et stran: 89 Klí ová slova: Ckálvn-dependen,n ávnaaa鏈 CDK12鏈 ,ranaárvpce鏈 RNA polkmeraaa II鏈 raáovvna vaječnáů鏈 CHK1 Bibliographic entry Author: Mgr. Hana Paculová Facul,k oa acvence鏈 Maaarká unvverav,k Department of Biochemistry Title oF dissertation: CDK12 and CDK13 aunc,von vn ,ranacrvp,von regula,von Degree programme: Bvochemva,rk Field oF study: Bvochemva,rk Supervisor: Mgr. Jvr Kohou,eá鏈 Ph.D Academic year: 2017/2018 Number oF pages: 89 Keywords: Ckclvn-dependen ávnaae鏈 CDK12鏈 ,ranacrvp,von鏈 RNA polkmeraae II鏈 ovarvan cancer鏈 CHK1 Abstrakt Ckálvn-dependen,n ávnaaa 12 (CDK12) je ,ranaárvpčn ávnaaa鏈 á,erá rd expreav avých clových genů ,m鏈 že aoaaorkluje RNA polkmeraau II v průbehu elongačn aáe ,ranaárvpce. CDK12 je apojena do neáolváa bunečných preceaů鏈 což ahrnuje odpoveď na pošáoen DNA鏈 vývoj a bunečnou dvaerencvacv a aea,rvh mRNA. CDK12 bkla popaána jaáo jeden genů鏈 á,eré jaou čaa,o mu,ovánk v hvgh-grade aerónm ovarválnm áarcvnomu鏈 nvcméne vlvv ,ech,o mu,ac na aunácv CDK12 a jejvch role v áarcvnogenev dopoaud nebkla a,anovena. Zjva,vlv jame鏈 že ve,švna mu,ac CDK12鏈 á,eré bklk naleenk v nádorech鏈 brán vk,voren áomplexu CDK12 a Ckálvnem K a vnhvbuj ávnaaovou aá,vvv,u CDK12. -
Integrative Pathway Analysis of Metabolic Signature in Bladder Cancer: a Linkage to the Cancer Genome Atlas Project and Prediction of Survival
Integrative Pathway Analysis of Metabolic Signature in Bladder Cancer: A Linkage to The Cancer Genome Atlas Project and Prediction of Survival Friedrich-Carl von Rundstedt,* Kimal Rajapakshe,* Jing Ma, James M. Arnold, Jie Gohlke, Vasanta Putluri, Rashmi Krishnapuram, D. Badrajee Piyarathna, Yair Lotan, Daniel Godde,€ Stephan Roth, Stephan Storkel,€ Jonathan M. Levitt, George Michailidis, Arun Sreekumar, Seth P. Lerner, Cristian Coarfa† and Nagireddy Putluri† From the Scott Department of Urology (FCvR, JML, SPL), Department of Molecular and Cell Biology, Alkek Center for Molecular Discovery (KR, JMA, JG, RK, DBP, AS, CC, NP), Verna and Marrs McLean Department of Biochemistry (AS), Advanced Technology Core (VP, DBP, AS, NP) and Department of Pathology and Immunology (JML), Baylor College of Medicine, Houston and Department of Urology, University of Texas Southwestern Medical Center (YL), Dallas, Texas, Departments of Urology (FCvR, SR) and Pathology Helios Klinikum (DG, SS), Witten-Herdecke University, Wuppertal, Germany, and Department of Statistics, University of Michigan (JM, GM), Ann Arbor, Michigan Purpose: We used targeted mass spectrometry to study the metabolic fingerprint of urothelial cancer and determine whether the biochemical pathway analysis Abbreviations and Acronyms gene signature would have a predictive value in independent cohorts of patients ¼ with bladder cancer. BCa bladder cancer Materials and Methods: Pathologically evaluated, bladder derived tissues, including benign adjacent tissue from 14 patients and bladder cancer from 46, were analyzed by liquid chromatography based targeted mass spectrometry. Differen- tial metabolites associated with tumor samples in comparison to benign tissue were identified by adjusting the p values for multiple testing at a false discovery rate threshold of 15%. -
Profiling Data
Compound Name DiscoveRx Gene Symbol Entrez Gene Percent Compound Symbol Control Concentration (nM) JNK-IN-8 AAK1 AAK1 69 1000 JNK-IN-8 ABL1(E255K)-phosphorylated ABL1 100 1000 JNK-IN-8 ABL1(F317I)-nonphosphorylated ABL1 87 1000 JNK-IN-8 ABL1(F317I)-phosphorylated ABL1 100 1000 JNK-IN-8 ABL1(F317L)-nonphosphorylated ABL1 65 1000 JNK-IN-8 ABL1(F317L)-phosphorylated ABL1 61 1000 JNK-IN-8 ABL1(H396P)-nonphosphorylated ABL1 42 1000 JNK-IN-8 ABL1(H396P)-phosphorylated ABL1 60 1000 JNK-IN-8 ABL1(M351T)-phosphorylated ABL1 81 1000 JNK-IN-8 ABL1(Q252H)-nonphosphorylated ABL1 100 1000 JNK-IN-8 ABL1(Q252H)-phosphorylated ABL1 56 1000 JNK-IN-8 ABL1(T315I)-nonphosphorylated ABL1 100 1000 JNK-IN-8 ABL1(T315I)-phosphorylated ABL1 92 1000 JNK-IN-8 ABL1(Y253F)-phosphorylated ABL1 71 1000 JNK-IN-8 ABL1-nonphosphorylated ABL1 97 1000 JNK-IN-8 ABL1-phosphorylated ABL1 100 1000 JNK-IN-8 ABL2 ABL2 97 1000 JNK-IN-8 ACVR1 ACVR1 100 1000 JNK-IN-8 ACVR1B ACVR1B 88 1000 JNK-IN-8 ACVR2A ACVR2A 100 1000 JNK-IN-8 ACVR2B ACVR2B 100 1000 JNK-IN-8 ACVRL1 ACVRL1 96 1000 JNK-IN-8 ADCK3 CABC1 100 1000 JNK-IN-8 ADCK4 ADCK4 93 1000 JNK-IN-8 AKT1 AKT1 100 1000 JNK-IN-8 AKT2 AKT2 100 1000 JNK-IN-8 AKT3 AKT3 100 1000 JNK-IN-8 ALK ALK 85 1000 JNK-IN-8 AMPK-alpha1 PRKAA1 100 1000 JNK-IN-8 AMPK-alpha2 PRKAA2 84 1000 JNK-IN-8 ANKK1 ANKK1 75 1000 JNK-IN-8 ARK5 NUAK1 100 1000 JNK-IN-8 ASK1 MAP3K5 100 1000 JNK-IN-8 ASK2 MAP3K6 93 1000 JNK-IN-8 AURKA AURKA 100 1000 JNK-IN-8 AURKA AURKA 84 1000 JNK-IN-8 AURKB AURKB 83 1000 JNK-IN-8 AURKB AURKB 96 1000 JNK-IN-8 AURKC AURKC 95 1000 JNK-IN-8 -
RT² Profiler PCR Array (Rotor-Gene® Format) Human Amino Acid Metabolism I
RT² Profiler PCR Array (Rotor-Gene® Format) Human Amino Acid Metabolism I Cat. no. 330231 PAHS-129ZR For pathway expression analysis Format For use with the following real-time cyclers RT² Profiler PCR Array, Rotor-Gene Q, other Rotor-Gene cyclers Format R Description The Human Amino Acid Metabolism I RT² Profiler PCR Array profiles the expression of 84 key genes important in biosynthesis and degradation of functional amino acids. Of the 20 amino acids required for protein synthesis, six of them (arginine, cysteine, glutamine, leucine, proline, and tryptophan), collectively known as the functional amino acids, regulate key metabolic pathways involved in cellular growth, and development, as well as other important biological processes such as immunity and reproduction. For example, leucine activates mTOR signaling and increases protein synthesis, leading to lymphocyte proliferation. Therefore, a lack of leucine can compromise immune function. Metabolic pathways interrelated with the biosynthesis and degradation of these amino acids include vitamin and cofactor biosynthesis (such as SAM or S-Adenosyl Methionine) as well as neurotransmitter metabolism (such as glutamate). This array includes genes for mammalian functional amino acid metabolism as well as genes involved in methionine metabolism, important also for nutrient sensing and sulfur metabolism. Using realtime PCR, you can easily and reliably analyze the expression of a focused panel of genes involved in functional amino acid metabolism with this array. For further details, consult the RT² Profiler PCR Array Handbook. Shipping and storage RT² Profiler PCR Arrays in the Rotor-Gene format are shipped at ambient temperature, on dry ice, or blue ice packs depending on destination and accompanying products. -
Anti-EGFR Monoclonal Antibodies and EGFR Tyrosine Kinase Inhibitors As Combination Therapy for Triple-Negative Breast Cancer
www.impactjournals.com/oncotarget/ Oncotarget, Vol. 7, No. 45 Research Paper Anti-EGFR monoclonal antibodies and EGFR tyrosine kinase inhibitors as combination therapy for triple-negative breast cancer Abderrahim El Guerrab1,2, Mahchid Bamdad2,3, Fabrice Kwiatkowski1, Yves-Jean Bignon1,2,*, Frédérique Penault-Llorca1,2,*, Corinne Aubel1,2 1Centre Jean Perrin - ERTICa-EA4677, BP392, 63011 Clermont-Ferrand Cedex, France 2Clermont Université - Université d’Auvergne - ERTICa-EA4677, Faculté de Médecine, BP38, 63001 Clermont-Ferrand Cedex, France 3Clermont Université - Université d’Auvergne - ERTICa-EA4677, Institut Universitaire de Technologie, Département Génie Biologique, Ensemble Universitaire des Cézeaux, BP86, 63172 Aubière Cedex, France *These authors have contributed equally to this work Correspondence to: Yves-Jean Bignon, email: [email protected] Keywords: triple-negative breast cancer, epidermal growth factor receptor, anti-EGFR targeted therapy, cytotoxicity, cell cycle Received: November 09, 2015 Accepted: August 22, 2016 Published: September 15, 2016 ABSTRACT Triple-negative breast cancer (TNBC) is characterized by overexpression of epidermal growth factor receptor (EGFR) and activation of its downstream signaling pathways. Dual targeting of EGFR using one monoclonal antibody (mAb; cetuximab or panitumumab) and one tyrosine kinase inhibitor (EGFR-TKI; gefitinib or erlotinib) is a potential therapeutic approach. We investigated the effect of these therapies in EGFR-expressing TNBC cell lines that do or do not harbor the main activating mutations of EGFR pathways. Cell lines were sensitive to EGFR-TKIs, whereas mAbs were active only in MDA-MB-468 (EGFR amplification) and SUM-1315 (KRAS and PTEN wild-type) cells. MDA-MB-231 (KRAS mutated) and HCC-1937 (PTEN deletion) cells were resistant to mAbs. -
Impaired Lysosomal Acidification Triggers Iron Deficiency And
RESEARCH ARTICLE Impaired lysosomal acidification triggers iron deficiency and inflammation in vivo King Faisal Yambire1, Christine Rostosky2, Takashi Watanabe3, David Pacheu-Grau1, Sylvia Torres-Odio4, Angela Sanchez-Guerrero1,2, Ola Senderovich5, Esther G Meyron-Holtz5, Ira Milosevic2, Jens Frahm3, A Phillip West4, Nuno Raimundo1* 1Institute of Cellular Biochemistry, University Medical Center Goettingen, Goettingen, Germany; 2European Neuroscience Institute, a Joint Initiative of the Max-Planck Institute and of the University Medical Center Goettingen, Goettingen, Germany; 3Biomedizinische NMR, Max-Planck Institute for Biophysical Chemistry, Goettingen, Germany; 4Department of Microbial Pathogenesis and Immunology, Texas A&M University Health Science Center, Austin, United States; 5Faculty of Biotechnology and Food Engineering, Technion Israel Institute of Technology, Haifa, Israel Abstract Lysosomal acidification is a key feature of healthy cells. Inability to maintain lysosomal acidic pH is associated with aging and neurodegenerative diseases. However, the mechanisms elicited by impaired lysosomal acidification remain poorly understood. We show here that inhibition of lysosomal acidification triggers cellular iron deficiency, which results in impaired mitochondrial function and non-apoptotic cell death. These effects are recovered by supplying iron via a lysosome-independent pathway. Notably, iron deficiency is sufficient to trigger inflammatory signaling in cultured primary neurons. Using a mouse model of impaired lysosomal acidification, we observed a robust iron deficiency response in the brain, verified by in vivo magnetic resonance *For correspondence: imaging. Furthermore, the brains of these mice present a pervasive inflammatory signature [email protected] associated with instability of mitochondrial DNA (mtDNA), both corrected by supplementation of goettingen.de the mice diet with iron. Our results highlight a novel mechanism linking impaired lysosomal Competing interests: The acidification, mitochondrial malfunction and inflammation in vivo. -
The Combination of the PARP Inhibitor Olaparib and the Wee1 Inhibitor AZD1775 As a New Therapeutic Option for Small Cell Lung Cancer
Author Manuscript Published OnlineFirst on June 25, 2018; DOI: 10.1158/1078-0432.CCR-17-2805 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. The combination of the PARP inhibitor olaparib and the Wee1 inhibitor AZD1775 as a new therapeutic option for small cell lung cancer Alice Lallo1,*, Kristopher K Frese1,*, Christopher J Morrow1, Robert Sloane1, Sakshi Gulati1, Maximillian W Schenk1, Francesca Trapani1, Nicole Simms1, Melanie Galvin1, Stewart Brown1, Cassandra L Hodgkinson1, Lynsey Priest1, Adina Hughes4, Zhongwu Lai5, Elaine Cadogan4, Garima Khandelwal3, Kathryn L Simpson1, Crispin Miller3, Fiona Blackhall2, Mark J O’Connor4,#, and Caroline Dive1,# 1 Clinical and Experimental Pharmacology Group, Cancer Research UK Manchester Institute, University of Manchester, Manchester, M20 4BX, UK. 2 Institute of Cancer Sciences, University of Manchester, Manchester, United Kingdom. Christie NHS Foundation Trust, Manchester, M20 4BX, UK. 3 RNA Biology Group, Cancer Research UK Manchester Institute, University of Manchester, Manchester, M20 4BX, UK. 4 Oncology Innovative Medicines and Early Development Biotech Unit, AstraZeneca, Cambridge, CB2 0RE, UK. 5 Oncology Innovative Medicines and Early Development Biotech Unit, AstraZeneca, Waltham, 02451, USA. *These authors contributed equally to this work Running title: PARP and Wee1 inhibition in patient-derived models of SCLC C. Dive receives funding from the Cancer Research UK Manchester Institute core (C5759/A27412), the Cancer Research UK Manchester -
Bioinformatics-Based Screening of Key Genes for Transformation of Liver
Jiang et al. J Transl Med (2020) 18:40 https://doi.org/10.1186/s12967-020-02229-8 Journal of Translational Medicine RESEARCH Open Access Bioinformatics-based screening of key genes for transformation of liver cirrhosis to hepatocellular carcinoma Chen Hao Jiang1,2, Xin Yuan1,2, Jiang Fen Li1,2, Yu Fang Xie1,2, An Zhi Zhang1,2, Xue Li Wang1,2, Lan Yang1,2, Chun Xia Liu1,2, Wei Hua Liang1,2, Li Juan Pang1,2, Hong Zou1,2, Xiao Bin Cui1,2, Xi Hua Shen1,2, Yan Qi1,2, Jin Fang Jiang1,2, Wen Yi Gu4, Feng Li1,2,3 and Jian Ming Hu1,2* Abstract Background: Hepatocellular carcinoma (HCC) is the most common type of liver tumour, and is closely related to liver cirrhosis. Previous studies have focussed on the pathogenesis of liver cirrhosis developing into HCC, but the molecular mechanism remains unclear. The aims of the present study were to identify key genes related to the transformation of cirrhosis into HCC, and explore the associated molecular mechanisms. Methods: GSE89377, GSE17548, GSE63898 and GSE54236 mRNA microarray datasets from Gene Expression Omni- bus (GEO) were analysed to obtain diferentially expressed genes (DEGs) between HCC and liver cirrhosis tissues, and network analysis of protein–protein interactions (PPIs) was carried out. String and Cytoscape were used to analyse modules and identify hub genes, Kaplan–Meier Plotter and Oncomine databases were used to explore relationships between hub genes and disease occurrence, development and prognosis of HCC, and the molecular mechanism of the main hub gene was probed using Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway analysis. -
Effect of Genotype on Micronutrient Absorption and Metabolism: a Review of Iron, Copper, Iodine and Selenium, and Folates Richard Mithen
Int. J. Vitam. Nutr. Res., 77 (3), 2007, 205–216 Effect of Genotype on Micronutrient Absorption and Metabolism: a Review of Iron, Copper, Iodine and Selenium, and Folates Richard Mithen Institute of Food Research, Colney Lane, Norwich, NR4 7UA, UK Received for publication: July 28, 2006 Abstract: For the majority of micronutrients, there are very little data, or none at all, on the role of genetic poly- morphisms on their absorption and metabolism. In many cases, the elucidation of biochemical pathways and regulators of homeostatic mechanisms have come from studies of individuals that have mutations in certain genes. Other polymorphisms in these genes that result in a less severe phenotype may be important in determining the natural range of variation in absorption and metabolism that is commonly observed. To illustrate some of these aspects, I briefly review the increased understanding of iron metabolism that has arisen from our knowledge of the effects of mutations in several genes, the role of genetic variation in mediating the nutritional effects of io- dine and selenium, and finally, the interaction between a genetic polymorphism in folate metabolism and folic acid fortification. Key words: Micronutrients, genetic polymorphisms, iron, iodine, selenium, folates Introduction the interpretation of epidemiological studies, in which some of the variation observed in nutrient status or re- Recently there has been considerable interest in the role quirement may be due to genetic variation at a few or sev- that genetic polymorphisms may play in several aspects eral loci that determine the uptake and metabolism of var- of human nutrition, and the ill-defined terms nutrige- ious nutrients.