LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 9 of total 9

Search options

  1. Article: Differentiating campomelic dysplasia from Cumming syndrome.

    Watiker, Valerie / Lachman, Ralph S / Wilcox, William R / Barroso, Inês / Schafer, Alan J / Scherer, Gerd

    American journal of medical genetics. Part A

    2005  Volume 135, Issue 1, Page(s) 110–112

    MeSH term(s) Abnormalities, Multiple/genetics ; Abnormalities, Multiple/pathology ; Bone and Bones/abnormalities ; DNA/chemistry ; DNA/genetics ; DNA Mutational Analysis ; Diagnosis, Differential ; Face/abnormalities ; Fatal Outcome ; Female ; Fetal Death ; High Mobility Group Proteins/genetics ; Humans ; Male ; Micrognathism/pathology ; Mutation ; Osteochondrodysplasias/genetics ; Osteochondrodysplasias/pathology ; Polymorphism, Single-Stranded Conformational ; Pregnancy ; SOX9 Transcription Factor ; Syndrome ; Transcription Factors/genetics
    Chemical Substances High Mobility Group Proteins ; SOX9 Transcription Factor ; SOX9 protein, human ; Transcription Factors ; DNA (9007-49-2)
    Language English
    Publishing date 2005-02-08
    Publishing country United States
    Document type Case Reports ; Letter ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, P.H.S.
    ZDB-ID 2108614-X
    ISSN 1552-4825
    ISSN 1552-4825
    DOI 10.1002/ajmg.a.30650
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article: Association study of candidate genes for the prevalence and progression of knee osteoarthritis.

    Valdes, Ana M / Hart, Deborah J / Jones, Karen A / Surdulescu, Gabriela / Swarbrick, Peter / Doyle, David V / Schafer, Alan J / Spector, Tim D

    Arthritis and rheumatism

    2004  Volume 50, Issue 8, Page(s) 2497–2507

    Abstract: Objective: Osteoarthritis (OA), characterized by late-onset degeneration of articular cartilage, is recognized to have a genetic component. We examined the role of 26 single-nucleotide polymorphisms (SNPs) from 24 candidate genes in OA susceptibility ... ...

    Abstract Objective: Osteoarthritis (OA), characterized by late-onset degeneration of articular cartilage, is recognized to have a genetic component. We examined the role of 26 single-nucleotide polymorphisms (SNPs) from 24 candidate genes in OA susceptibility and progression.
    Methods: We compared human complementary DNA libraries from OA-affected and normal cartilage and synovium and selected 22 genes in addition to the estrogen receptor alpha and vitamin D receptor genes. Based on the availability of polymorphisms, we proceeded to test whether genetic variation at those genes affected susceptibility to or progression of radiographic knee OA over a 10-year period in 749 women (mean age 64 years) from the longitudinal Chingford Study.
    Results: After adjusting for age and body mass index, we observed significant associations at ADAM12, BMP2, CD36, COX2, and NCOR2 with 3 OA susceptibility traits (presence/absence of joint space narrowing [JSN], presence/absence of osteophytes, and Kellgren/Lawrence [K/L] score). For the OA progression traits (change over 10 years in the K/L score, osteophyte grade, and JSN grade), we found significant associations with ADAM12, CILP, OPG, and TNA. Overall, we observed 15 associations with nominal significance (P < 0.05) and, by permutation analysis, found that such a number would be observed by chance only 3.8% of the time. Although these tests require replication, the stronger genetic associations observed are unlikely to be attributable simply to multiple comparisons.
    Conclusion: Our results suggest that OA severity and progression have a multigenic and feature-specific nature. These findings should encourage the development of genetic diagnostics for OA progression based on multiple SNPs and help unravel some of the complex disease mechanisms in OA.
    MeSH term(s) Adult ; Aged ; Disease Progression ; Disease Susceptibility ; Female ; Gene Library ; Genetic Predisposition to Disease/genetics ; Genotype ; Humans ; Middle Aged ; Osteoarthritis, Knee/epidemiology ; Osteoarthritis, Knee/genetics ; Osteoarthritis, Knee/physiopathology ; Polymorphism, Single Nucleotide ; Prevalence
    Language English
    Publishing date 2004-08-25
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 127294-9
    ISSN 1529-0131 ; 0004-3591 ; 2326-5191
    ISSN (online) 1529-0131
    ISSN 0004-3591 ; 2326-5191
    DOI 10.1002/art.20443
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  3. Article: Variation in the eNOS gene modifies the association between total energy expenditure and glucose intolerance.

    Franks, Paul W / Luan, Jian'an / Barroso, Inês / Brage, Søren / Gonzalez Sanchez, Jose Luis / Ekelund, Ulf / Ríos, Manuel Serrano / Schafer, Alan J / O'Rahilly, Stephen / Wareham, Nicholas J

    Diabetes

    2005  Volume 54, Issue 9, Page(s) 2795–2801

    Abstract: Endothelium-derived nitric oxide (NO) facilitates skeletal muscle glucose uptake. Energy expenditure induces the endothelial NO synthase (eNOS) gene, providing a mechanism for insulin-independent glucose disposal. The object was to test 1) the ... ...

    Abstract Endothelium-derived nitric oxide (NO) facilitates skeletal muscle glucose uptake. Energy expenditure induces the endothelial NO synthase (eNOS) gene, providing a mechanism for insulin-independent glucose disposal. The object was to test 1) the association of genetic variation in eNOS, as assessed by haplotype-tagging single nucleotide polymorphisms (htSNPs) with type 2 diabetes, and 2) the interaction between eNOS haplotypes and total energy expenditure on glucose intolerance. Using multivariate models, we tested associations between eNOS htSNPs and diabetes (n = 461 and 474 case and control subjects, respectively) and glucose intolerance (two cohorts of n = 706 and 738 U.K. and Spanish Caucasians, respectively), and we tested eNOS x total energy expenditure interactions on glucose intolerance. An overall association between eNOS haplotype and diabetes was observed (P = 0.004). Relative to the most common haplotype (111), two haplotypes (121 and 212) tended to increase diabetes risk (OR 1.22, 95% CI 0.96-1.55), and one (122) was associated with decreased risk (0.58, 0.39-0.86). In the cohort studies, no association was observed between haplotypes and 2-h glucose (P > 0.10). However, we observed a significant total energy expenditure-haplotype interaction (P = 0.007). Genetic variation at the eNOS locus is associated with diabetes, which may be attributable to an enhanced effect of total energy expenditure on glucose disposal in individuals with specific eNOS haplotypes. Gene-environment interactions such as this may help explain why replication of genetic association frequently fails.
    MeSH term(s) Aged ; Diabetes Mellitus, Type 2/genetics ; Diabetes Mellitus, Type 2/physiopathology ; Energy Metabolism/physiology ; Female ; Glucose Intolerance/physiopathology ; Haplotypes ; Humans ; Male ; Middle Aged ; Odds Ratio ; Polymorphism, Genetic
    Language English
    Publishing date 2005-09-01
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, P.H.S.
    ZDB-ID 80085-5
    ISSN 1939-327X ; 0012-1797
    ISSN (online) 1939-327X
    ISSN 0012-1797
    DOI 10.2337/diabetes.54.9.2795
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  4. Article: Genetic variants in human sterol regulatory element binding protein-1c in syndromes of severe insulin resistance and type 2 diabetes.

    Laudes, Matthias / Barroso, Inês / Luan, Jian'an / Soos, Maria A / Yeo, Giles / Meirhaeghe, Aline / Logie, Lisa / Vidal-Puig, Antonio / Schafer, Alan J / Wareham, Nick J / O'Rahilly, Stephen

    Diabetes

    2004  Volume 53, Issue 3, Page(s) 842–846

    Abstract: The transcription factor sterol regulatory element binding protein (SREBP)-1c is intimately involved in the regulation of lipid and glucose metabolism. To investigate whether mutations in this gene might contribute to insulin resistance, we screened the ... ...

    Abstract The transcription factor sterol regulatory element binding protein (SREBP)-1c is intimately involved in the regulation of lipid and glucose metabolism. To investigate whether mutations in this gene might contribute to insulin resistance, we screened the exons encoding the aminoterminal transcriptional activation domain in a cohort of 85 unrelated human subjects with severe insulin resistance. Two missense mutations (P87L and P416A) were found in single affected patients but not in 47 control subjects. However, these variants were indistinguishable from the wild-type in their ability to bind DNA or to transactivate an SREBP-1 responsive promoter construct. We also identified a common intronic single nucleotide polymorphism (C/T) located between exon 18c and 19c. In a case-control study of 517 U.K. Caucasian case subjects and 517 age- and sex-matched control subjects, the T-allele at this locus was significantly associated with type 2 diabetes in men (odds ratio = 1.42 [1.11-1.82], P = 0.005) but not women. In a separate population-based study of 1,100 Caucasians, carriers of the T-allele showed significantly higher levels of total and LDL cholesterol (P < 0.05) compared with wild-type individuals. In summary, we have conducted the first study of the SREBP-1c gene as a candidate for human insulin resistance. Although the rare mutations identified were functionally silent in the assays used, we obtained some evidence, which requires conformation in other populations, that a common variant in the SREBP-1c gene might influence diabetes risk and plasma cholesterol level.
    MeSH term(s) Base Sequence ; CCAAT-Enhancer-Binding Proteins/genetics ; Case-Control Studies ; Cholesterol/blood ; DNA Primers ; DNA-Binding Proteins/genetics ; Diabetes Mellitus, Type 2/genetics ; European Continental Ancestry Group/genetics ; Female ; Genetic Variation ; Humans ; Insulin Resistance/genetics ; Introns ; Male ; Polymorphism, Single Nucleotide ; Reference Values ; Reverse Transcriptase Polymerase Chain Reaction ; Sterol Regulatory Element Binding Protein 1 ; Transcription Factors
    Chemical Substances CCAAT-Enhancer-Binding Proteins ; DNA Primers ; DNA-Binding Proteins ; SREBF1 protein, human ; Sterol Regulatory Element Binding Protein 1 ; Transcription Factors ; Cholesterol (97C5T2UQ7J)
    Language English
    Publishing date 2004-02-01
    Publishing country United States
    Document type Comparative Study ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 80085-5
    ISSN 1939-327X ; 0012-1797
    ISSN (online) 1939-327X
    ISSN 0012-1797
    DOI 10.2337/diabetes.53.3.842
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  5. Article ; Online: Candidate gene association study in type 2 diabetes indicates a role for genes involved in beta-cell function as well as insulin action.

    Barroso, Inês / Luan, Jian'an / Middelberg, Rita P S / Harding, Anne-Helen / Franks, Paul W / Jakes, Rupert W / Clayton, D / Schafer, Alan J / O'Rahilly, Stephen / Wareham, Nicholas J

    PLoS biology

    2003  Volume 1, Issue 1, Page(s) E20

    Abstract: Type 2 diabetes is an increasingly common, serious metabolic disorder with a substantial inherited component. It is characterised by defects in both insulin secretion and action. Progress in identification of specific genetic variants predisposing to the ...

    Abstract Type 2 diabetes is an increasingly common, serious metabolic disorder with a substantial inherited component. It is characterised by defects in both insulin secretion and action. Progress in identification of specific genetic variants predisposing to the disease has been limited. To complement ongoing positional cloning efforts, we have undertaken a large-scale candidate gene association study. We examined 152 SNPs in 71 candidate genes for association with diabetes status and related phenotypes in 2,134 Caucasians in a case-control study and an independent quantitative trait (QT) cohort in the United Kingdom. Polymorphisms in five of 15 genes (33%) encoding molecules known to primarily influence pancreatic beta-cell function-ABCC8 (sulphonylurea receptor), KCNJ11 (KIR6.2), SLC2A2 (GLUT2), HNF4A (HNF4alpha), and INS (insulin)-significantly altered disease risk, and in three genes, the risk allele, haplotype, or both had a biologically consistent effect on a relevant physiological trait in the QT study. We examined 35 genes predicted to have their major influence on insulin action, and three (9%)-INSR, PIK3R1, and SOS1-showed significant associations with diabetes. These results confirm the genetic complexity of Type 2 diabetes and provide evidence that common variants in genes influencing pancreatic beta-cell function may make a significant contribution to the inherited component of this disease. This study additionally demonstrates that the systematic examination of panels of biological candidate genes in large, well-characterised populations can be an effective complement to positional cloning approaches. The absence of large single-gene effects and the detection of multiple small effects accentuate the need for the study of larger populations in order to reliably identify the size of effect we now expect for complex diseases.
    MeSH term(s) ATP-Binding Cassette Transporters/genetics ; Aged ; Case-Control Studies ; Cloning, Molecular ; Diabetes Mellitus, Type 2/genetics ; Genotype ; Glucose Transporter Type 2/genetics ; Haplotypes ; Hepatocyte Nuclear Factor 4/genetics ; Humans ; Insulin/genetics ; Insulin/metabolism ; Insulin-Secreting Cells/metabolism ; Middle Aged ; Models, Genetic ; Models, Statistical ; Odds Ratio ; Phosphatidylinositol 3-Kinases/genetics ; Polymorphism, Single Nucleotide ; Polymorphism, Single-Stranded Conformational ; Potassium Channels/genetics ; Potassium Channels, Inwardly Rectifying/genetics ; Receptor, Insulin/genetics ; Receptors, Drug/genetics ; SOS1 Protein/genetics ; Sulfonylurea Receptors
    Chemical Substances ATP-Binding Cassette Transporters ; Glucose Transporter Type 2 ; HNF4A protein, human ; Hepatocyte Nuclear Factor 4 ; Insulin ; Kir6.2 channel ; Potassium Channels ; Potassium Channels, Inwardly Rectifying ; Receptors, Drug ; SLC2A2 protein, human ; SOS1 Protein ; Sulfonylurea Receptors ; Phosphatidylinositol 3-Kinases (EC 2.7.1.-) ; Receptor, Insulin (EC 2.7.10.1)
    Language English
    Publishing date 2003-10-13
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2126776-5
    ISSN 1545-7885 ; 1544-9173
    ISSN (online) 1545-7885
    ISSN 1544-9173
    DOI 10.1371/journal.pbio.0000020
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  6. Article: PGC-1alpha genotype modifies the association of volitional energy expenditure with [OV0312]O2max.

    Franks, Paul W / Barroso, Inês / Luan, Jian'an / Ekelund, Ulf / Crowley, Vivion E F / Brage, Søren / Sandhu, Manjinder S / Jakes, Rupert W / Middelberg, Rita P S / Harding, Anne-Helen / Schafer, Alan J / O'Rahilly, Stephen / Wareham, Nicholas J

    Medicine and science in sports and exercise

    2003  Volume 35, Issue 12, Page(s) 1998–2004

    Abstract: Unlabelled: Sedentary lifestyles are increasingly common and result in low cardiorespiratory fitness ([OV0312]O2max), a well-established predictor of early mortality and coronary heart disease (CHD). Adaptation in [OV0312]O2max after exercise training ... ...

    Abstract Unlabelled: Sedentary lifestyles are increasingly common and result in low cardiorespiratory fitness ([OV0312]O2max), a well-established predictor of early mortality and coronary heart disease (CHD). Adaptation in [OV0312]O2max after exercise training varies considerably between people. Because there are hereditary components to fitness, it is likely that genetic factors explain some of this variability. PPARGC1 (PGC-1alpha) coactivates genes involved in energy transduction and mitochondrial biogenesis. Transgenic mouse data demonstrate that overexpression of PGC-1alpha mRNA increases endurance capacity by transformation of nonoxidative to oxidative skeletal muscle tissue. Other murine studies demonstrate that exercise increases PGC-1alpha mRNA expression.
    Purpose: To explore whether a candidate polymorphism in the PGC-1alpha gene modifies the association between physical activity energy expenditure (PAEE) and predicted [OV0312]O2max ([OV0312]O2max.pred).
    Method: We examined whether the Gly482Ser polymorphism of PGC-1alpha modified the relationship between objectively measured PAEE and [OV0312]O2max.pred in a population-based sample of 599 healthy middle-aged people. PAEE was assessed using individual calibration with 4 d of heart rate monitoring. [OV0312]O2max.pred was measured during a submaximal exercise stress test on a bicycle ergometer.
    Results: Homozygosity at the Ser482 allele was found in 12.7% of the cohort, whereas 38.9% and 48.4% carried the Gly482Gly and Gly482Ser genotypes, respectively. The association between PAEE and [OV0312]O2max.pred (mL x kg(-1) x min(-1)) was strongest in people homozygous for the Ser482 allele (beta = 12.03; P < 0.00001) compared with carriers of the Gly allele (beta = 5.61; P < 0.00001). In a recessive model for the Ser482 allele, the interaction between PAEE and genotype on [OV0312]O2max.pred (L x min(-1)) was highly significant (P = 0.009).
    Conclusion: Our results indicate that Ser482 homozygotes may be most capable of improving cardiorespiratory fitness when physically active, and that Gly482Ser may explain some of the between-person variance previously reported in cardiorespiratory adaptation after exercise training.
    MeSH term(s) Adult ; Aged ; Energy Metabolism/genetics ; Exercise/physiology ; Female ; Genotype ; Humans ; Male ; Middle Aged ; Oxygen Consumption/genetics ; Physical Fitness/physiology ; Polymorphism, Genetic ; Trans-Activators/genetics ; Transcription Factors/genetics
    Chemical Substances Trans-Activators ; Transcription Factors ; peroxisome-proliferator-activated receptor-gamma coactivator-1
    Language English
    Publishing date 2003-12
    Publishing country United States
    Document type Comparative Study ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 603994-7
    ISSN 1530-0315 ; 0195-9131 ; 0025-7990
    ISSN (online) 1530-0315
    ISSN 0195-9131 ; 0025-7990
    DOI 10.1249/01.MSS.0000099109.73351.81
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  7. Article ; Online: A family with severe insulin resistance and diabetes due to a mutation in AKT2.

    George, Stella / Rochford, Justin J / Wolfrum, Christian / Gray, Sarah L / Schinner, Sven / Wilson, Jenny C / Soos, Maria A / Murgatroyd, Peter R / Williams, Rachel M / Acerini, Carlo L / Dunger, David B / Barford, David / Umpleby, A Margot / Wareham, Nicholas J / Davies, Huw Alban / Schafer, Alan J / Stoffel, Markus / O'Rahilly, Stephen / Barroso, Inês

    Science (New York, N.Y.)

    2003  Volume 304, Issue 5675, Page(s) 1325–1328

    Abstract: Inherited defects in signaling pathways downstream of the insulin receptor have long been suggested to contribute to human type 2 diabetes mellitus. Here we describe a mutation in the gene encoding the protein kinase AKT2/PKBbeta in a family that shows ... ...

    Abstract Inherited defects in signaling pathways downstream of the insulin receptor have long been suggested to contribute to human type 2 diabetes mellitus. Here we describe a mutation in the gene encoding the protein kinase AKT2/PKBbeta in a family that shows autosomal dominant inheritance of severe insulin resistance and diabetes mellitus. Expression of the mutant kinase in cultured cells disrupted insulin signaling to metabolic end points and inhibited the function of coexpressed, wild-type AKT. These findings demonstrate the central importance of AKT signaling to insulin sensitivity in humans.
    MeSH term(s) Active Transport, Cell Nucleus ; Adipocytes/cytology ; Adipocytes/metabolism ; Adult ; Aged ; Amino Acid Motifs ; Amino Acid Sequence ; Amino Acid Substitution ; Catalytic Domain ; Cell Differentiation ; Cell Line ; Cell Nucleus/metabolism ; Cytosol/metabolism ; DNA-Binding Proteins/metabolism ; Diabetes Mellitus/genetics ; Diabetes Mellitus/metabolism ; Female ; Genes, Dominant ; Hepatocyte Nuclear Factor 3-beta ; Humans ; Hyperinsulinism/genetics ; Hyperinsulinism/metabolism ; Insulin/metabolism ; Insulin Resistance/genetics ; Lipid Metabolism ; Male ; Middle Aged ; Molecular Sequence Data ; Mutation, Missense ; Nuclear Proteins/metabolism ; Pedigree ; Phosphorylation ; Protein Serine-Threonine Kinases/chemistry ; Protein Serine-Threonine Kinases/genetics ; Protein Serine-Threonine Kinases/metabolism ; Proto-Oncogene Proteins/chemistry ; Proto-Oncogene Proteins/genetics ; Proto-Oncogene Proteins/metabolism ; Proto-Oncogene Proteins c-akt ; Signal Transduction ; Transcription Factors
    Chemical Substances DNA-Binding Proteins ; FOXA2 protein, human ; Insulin ; Nuclear Proteins ; Proto-Oncogene Proteins ; Transcription Factors ; Hepatocyte Nuclear Factor 3-beta (135845-92-0) ; AKT1 protein, human (EC 2.7.11.1) ; AKT2 protein, human (EC 2.7.11.1) ; Protein Serine-Threonine Kinases (EC 2.7.11.1) ; Proto-Oncogene Proteins c-akt (EC 2.7.11.1)
    Language English
    Publishing date 2003-02-21
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 128410-1
    ISSN 1095-9203 ; 0036-8075
    ISSN (online) 1095-9203
    ISSN 0036-8075
    DOI 10.1126/science.1096706
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  8. Article: Digenic inheritance of severe insulin resistance in a human pedigree.

    Savage, David B / Agostini, Maura / Barroso, Inês / Gurnell, Mark / Luan, Jian'an / Meirhaeghe, Aline / Harding, Anne-Helen / Ihrke, Gudrun / Rajanayagam, Odelia / Soos, Maria A / George, Stella / Berger, Dirk / Thomas, E Louise / Bell, Jimmy D / Meeran, Karim / Ross, Richard J / Vidal-Puig, Antonio / Wareham, Nicholas J / O'Rahilly, Stephen /
    Chatterjee, V Krishna K / Schafer, Alan J

    Nature genetics

    2002  Volume 31, Issue 4, Page(s) 379–384

    Abstract: Impaired insulin action is a key feature of type 2 diabetes and is also found, to a more extreme degree, in familial syndromes of insulin resistance. Although inherited susceptibility to insulin resistance may involve the interplay of several genetic ... ...

    Abstract Impaired insulin action is a key feature of type 2 diabetes and is also found, to a more extreme degree, in familial syndromes of insulin resistance. Although inherited susceptibility to insulin resistance may involve the interplay of several genetic loci, no clear examples of interactions among genes have yet been reported. Here we describe a family in which five individuals with severe insulin resistance, but no unaffected family members, were doubly [corrected] heterozygous with respect to frameshift/premature stop mutations in two unlinked genes, PPARG and PPP1R3A these encode peroxisome proliferator activated receptor gamma, which is highly expressed in adipocytes, and protein phosphatase 1, regulatory subunit 3, the muscle-specific regulatory subunit of protein phosphatase 1, which are centrally involved in the regulation of carbohydrate and lipid metabolism, respectively. That mutant molecules primarily involved in either carbohydrate or lipid metabolism can combine to produce a phenotype of extreme insulin resistance provides a model of interactions among genes that may underlie common human metabolic disorders such as type 2 diabetes.
    MeSH term(s) Adult ; Aged ; Animals ; CHO Cells ; Cricetinae ; DNA-Binding Proteins/genetics ; DNA-Binding Proteins/metabolism ; Diabetes Mellitus, Type 2/genetics ; Female ; Frameshift Mutation ; Heterozygote ; Humans ; Insulin Resistance/genetics ; Male ; Middle Aged ; Pedigree ; Phosphoprotein Phosphatases/genetics ; Phosphoprotein Phosphatases/metabolism ; Protein Phosphatase 1 ; Receptors, Cytoplasmic and Nuclear/genetics ; Receptors, Cytoplasmic and Nuclear/metabolism ; Recombinant Proteins/genetics ; Recombinant Proteins/metabolism ; Transcription Factors/genetics ; Transcription Factors/metabolism
    Chemical Substances DNA-Binding Proteins ; Receptors, Cytoplasmic and Nuclear ; Recombinant Proteins ; Transcription Factors ; PPP1R3A protein, human (EC 3.1.3.-) ; Phosphoprotein Phosphatases (EC 3.1.3.16) ; Protein Phosphatase 1 (EC 3.1.3.16)
    Language English
    Publishing date 2002-07-15
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1108734-1
    ISSN 1546-1718 ; 1061-4036
    ISSN (online) 1546-1718
    ISSN 1061-4036
    DOI 10.1038/ng926
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  9. Article ; Online: International network of cancer genome projects.

    Hudson, Thomas J / Anderson, Warwick / Artez, Axel / Barker, Anna D / Bell, Cindy / Bernabé, Rosa R / Bhan, M K / Calvo, Fabien / Eerola, Iiro / Gerhard, Daniela S / Guttmacher, Alan / Guyer, Mark / Hemsley, Fiona M / Jennings, Jennifer L / Kerr, David / Klatt, Peter / Kolar, Patrik / Kusada, Jun / Lane, David P /
    Laplace, Frank / Youyong, Lu / Nettekoven, Gerd / Ozenberger, Brad / Peterson, Jane / Rao, T S / Remacle, Jacques / Schafer, Alan J / Shibata, Tatsuhiro / Stratton, Michael R / Vockley, Joseph G / Watanabe, Koichi / Yang, Huanming / Yuen, Matthew M F / Knoppers, Bartha M / Bobrow, Martin / Cambon-Thomsen, Anne / Dressler, Lynn G / Dyke, Stephanie O M / Joly, Yann / Kato, Kazuto / Kennedy, Karen L / Nicolás, Pilar / Parker, Michael J / Rial-Sebbag, Emmanuelle / Romeo-Casabona, Carlos M / Shaw, Kenna M / Wallace, Susan / Wiesner, Georgia L / Zeps, Nikolajs / Lichter, Peter / Biankin, Andrew V / Chabannon, Christian / Chin, Lynda / Clément, Bruno / de Alava, Enrique / Degos, Françoise / Ferguson, Martin L / Geary, Peter / Hayes, D Neil / Johns, Amber L / Kasprzyk, Arek / Nakagawa, Hidewaki / Penny, Robert / Piris, Miguel A / Sarin, Rajiv / Scarpa, Aldo / van de Vijver, Marc / Futreal, P Andrew / Aburatani, Hiroyuki / Bayés, Mónica / Botwell, David D L / Campbell, Peter J / Estivill, Xavier / Grimmond, Sean M / Gut, Ivo / Hirst, Martin / López-Otín, Carlos / Majumder, Partha / Marra, Marco / McPherson, John D / Ning, Zemin / Puente, Xose S / Ruan, Yijun / Stunnenberg, Hendrik G / Swerdlow, Harold / Velculescu, Victor E / Wilson, Richard K / Xue, Hong H / Yang, Liu / Spellman, Paul T / Bader, Gary D / Boutros, Paul C / Flicek, Paul / Getz, Gad / Guigó, Roderic / Guo, Guangwu / Haussler, David / Heath, Simon / Hubbard, Tim J / Jiang, Tao / Jones, Steven M / Li, Qibin / López-Bigas, Nuria / Luo, Ruibang / Muthuswamy, Lakshmi / Ouellette, B F Francis / Pearson, John V / Quesada, Victor / Raphael, Benjamin J / Sander, Chris / Speed, Terence P / Stein, Lincoln D / Stuart, Joshua M / Teague, Jon W / Totoki, Yasushi / Tsunoda, Tatsuhiko / Valencia, Alfonso / Wheeler, David A / Wu, Honglong / Zhao, Shancen / Zhou, Guangyu / Lathrop, Mark / Thomas, Gilles / Yoshida, Teruhiko / Axton, Myles / Gunter, Chris / Miller, Linda J / Zhang, Junjun / Haider, Syed A / Wang, Jianxin / Yung, Christina K / Cros, Anthony / Cross, Anthony / Liang, Yong / Gnaneshan, Saravanamuttu / Guberman, Jonathan / Hsu, Jack / Chalmers, Don R C / Hasel, Karl W / Kaan, Terry S H / Lowrance, William W / Masui, Tohru / Rodriguez, Laura Lyman / Vergely, Catherine / Bowtell, David D L / Cloonan, Nicole / deFazio, Anna / Eshleman, James R / Etemadmoghadam, Dariush / Gardiner, Brooke B / Gardiner, Brooke A / Kench, James G / Sutherland, Robert L / Tempero, Margaret A / Waddell, Nicola J / Wilson, Peter J / Gallinger, Steve / Tsao, Ming-Sound / Shaw, Patricia A / Petersen, Gloria M / Mukhopadhyay, Debabrata / DePinho, Ronald A / Thayer, Sarah / Shazand, Kamran / Beck, Timothy / Sam, Michelle / Timms, Lee / Ballin, Vanessa / Lu, Youyong / Ji, Jiafu / Zhang, Xiuqing / Chen, Feng / Hu, Xueda / Yang, Qi / Tian, Geng / Zhang, Lianhai / Xing, Xiaofang / Li, Xianghong / Zhu, Zhenggang / Yu, Yingyan / Yu, Jun / Tost, Jörg / Brennan, Paul / Holcatova, Ivana / Zaridze, David / Brazma, Alvis / Egevard, Lars / Prokhortchouk, Egor / Banks, Rosamonde Elizabeth / Uhlén, Mathias / Viksna, Juris / Ponten, Fredrik / Skryabin, Konstantin / Birney, Ewan / Borg, Ake / Børresen-Dale, Anne-Lise / Caldas, Carlos / Foekens, John A / Martin, Sancha / Reis-Filho, Jorge S / Richardson, Andrea L / Sotiriou, Christos / Thoms, Giles / van't Veer, Laura / Birnbaum, Daniel / Blanche, Hélène / Boucher, Pascal / Boyault, Sandrine / Masson-Jacquemier, Jocelyne D / Pauporté, Iris / Pivot, Xavier / Vincent-Salomon, Anne / Tabone, Eric / Theillet, Charles / Treilleux, Isabelle / Bioulac-Sage, Paulette / Decaens, Thomas / Franco, Dominique / Gut, Marta / Samuel, Didier / Zucman-Rossi, Jessica / Eils, Roland / Brors, Benedikt / Korbel, Jan O / Korshunov, Andrey / Landgraf, Pablo / Lehrach, Hans / Pfister, Stefan / Radlwimmer, Bernhard / Reifenberger, Guido / Taylor, Michael D / von Kalle, Christof / Majumder, Partha P / Pederzoli, Paolo / Lawlor, Rita A / Delledonne, Massimo / Bardelli, Alberto / Gress, Thomas / Klimstra, David / Zamboni, Giuseppe / Nakamura, Yusuke / Miyano, Satoru / Fujimoto, Akihiro / Campo, Elias / de Sanjosé, Silvia / Montserrat, Emili / González-Díaz, Marcos / Jares, Pedro / Himmelbauer, Heinz / Himmelbaue, Heinz / Bea, Silvia / Aparicio, Samuel / Easton, Douglas F / Collins, Francis S / Compton, Carolyn C / Lander, Eric S / Burke, Wylie / Green, Anthony R / Hamilton, Stanley R / Kallioniemi, Olli P / Ley, Timothy J / Liu, Edison T / Schafer, Alan J / Wainwright, Brandon J

    Nature

    2010  Volume 464, Issue 7291, Page(s) 993–998

    Abstract: The International Cancer Genome Consortium (ICGC) was launched to coordinate large-scale cancer genome studies in tumours from 50 different cancer types and/or subtypes that are of clinical and societal importance across the globe. Systematic studies of ... ...

    Abstract The International Cancer Genome Consortium (ICGC) was launched to coordinate large-scale cancer genome studies in tumours from 50 different cancer types and/or subtypes that are of clinical and societal importance across the globe. Systematic studies of more than 25,000 cancer genomes at the genomic, epigenomic and transcriptomic levels will reveal the repertoire of oncogenic mutations, uncover traces of the mutagenic influences, define clinically relevant subtypes for prognosis and therapeutic management, and enable the development of new cancer therapies.
    MeSH term(s) DNA Methylation ; DNA Mutational Analysis/trends ; Databases, Genetic ; Genes, Neoplasm/genetics ; Genetics, Medical/organization & administration ; Genetics, Medical/trends ; Genome, Human/genetics ; Genomics/organization & administration ; Genomics/trends ; Humans ; Intellectual Property ; International Cooperation ; Mutation ; Neoplasms/classification ; Neoplasms/genetics ; Neoplasms/pathology ; Neoplasms/therapy
    Language English
    Publishing date 2010-02-24
    Publishing country England
    Document type Journal Article
    ZDB-ID 120714-3
    ISSN 1476-4687 ; 0028-0836
    ISSN (online) 1476-4687
    ISSN 0028-0836
    DOI 10.1038/nature08987
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top