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  • Phenotype  (7)
  • American Association for the Advancement of Science (AAAS)  (7)
  • American Physical Society
  • Springer Nature
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  • 1
    Publication Date: 2001-02-22
    Description: A 2.91-billion base pair (bp) consensus sequence of the euchromatic portion of the human genome was generated by the whole-genome shotgun sequencing method. The 14.8-billion bp DNA sequence was generated over 9 months from 27,271,853 high-quality sequence reads (5.11-fold coverage of the genome) from both ends of plasmid clones made from the DNA of five individuals. Two assembly strategies-a whole-genome assembly and a regional chromosome assembly-were used, each combining sequence data from Celera and the publicly funded genome effort. The public data were shredded into 550-bp segments to create a 2.9-fold coverage of those genome regions that had been sequenced, without including biases inherent in the cloning and assembly procedure used by the publicly funded group. This brought the effective coverage in the assemblies to eightfold, reducing the number and size of gaps in the final assembly over what would be obtained with 5.11-fold coverage. The two assembly strategies yielded very similar results that largely agree with independent mapping data. The assemblies effectively cover the euchromatic regions of the human chromosomes. More than 90% of the genome is in scaffold assemblies of 100,000 bp or more, and 25% of the genome is in scaffolds of 10 million bp or larger. Analysis of the genome sequence revealed 26,588 protein-encoding transcripts for which there was strong corroborating evidence and an additional approximately 12,000 computationally derived genes with mouse matches or other weak supporting evidence. Although gene-dense clusters are obvious, almost half the genes are dispersed in low G+C sequence separated by large tracts of apparently noncoding sequence. Only 1.1% of the genome is spanned by exons, whereas 24% is in introns, with 75% of the genome being intergenic DNA. Duplications of segmental blocks, ranging in size up to chromosomal lengths, are abundant throughout the genome and reveal a complex evolutionary history. Comparative genomic analysis indicates vertebrate expansions of genes associated with neuronal function, with tissue-specific developmental regulation, and with the hemostasis and immune systems. DNA sequence comparisons between the consensus sequence and publicly funded genome data provided locations of 2.1 million single-nucleotide polymorphisms (SNPs). A random pair of human haploid genomes differed at a rate of 1 bp per 1250 on average, but there was marked heterogeneity in the level of polymorphism across the genome. Less than 1% of all SNPs resulted in variation in proteins, but the task of determining which SNPs have functional consequences remains an open challenge.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Venter, J C -- Adams, M D -- Myers, E W -- Li, P W -- Mural, R J -- Sutton, G G -- Smith, H O -- Yandell, M -- Evans, C A -- Holt, R A -- Gocayne, J D -- Amanatides, P -- Ballew, R M -- Huson, D H -- Wortman, J R -- Zhang, Q -- Kodira, C D -- Zheng, X H -- Chen, L -- Skupski, M -- Subramanian, G -- Thomas, P D -- Zhang, J -- Gabor Miklos, G L -- Nelson, C -- Broder, S -- Clark, A G -- Nadeau, J -- McKusick, V A -- Zinder, N -- Levine, A J -- Roberts, R J -- Simon, M -- Slayman, C -- Hunkapiller, M -- Bolanos, R -- Delcher, A -- Dew, I -- Fasulo, D -- Flanigan, M -- Florea, L -- Halpern, A -- Hannenhalli, S -- Kravitz, S -- Levy, S -- Mobarry, C -- Reinert, K -- Remington, K -- Abu-Threideh, J -- Beasley, E -- Biddick, K -- Bonazzi, V -- Brandon, R -- Cargill, M -- Chandramouliswaran, I -- Charlab, R -- Chaturvedi, K -- Deng, Z -- Di Francesco, V -- Dunn, P -- Eilbeck, K -- Evangelista, C -- Gabrielian, A E -- Gan, W -- Ge, W -- Gong, F -- Gu, Z -- Guan, P -- Heiman, T J -- Higgins, M E -- Ji, R R -- Ke, Z -- Ketchum, K A -- Lai, Z -- Lei, Y -- Li, Z -- Li, J -- Liang, Y -- Lin, X -- Lu, F -- Merkulov, G V -- Milshina, N -- Moore, H M -- Naik, A K -- Narayan, V A -- Neelam, B -- Nusskern, D -- Rusch, D B -- Salzberg, S -- Shao, W -- Shue, B -- Sun, J -- Wang, Z -- Wang, A -- Wang, X -- Wang, J -- Wei, M -- Wides, R -- Xiao, C -- Yan, C -- Yao, A -- Ye, J -- Zhan, M -- Zhang, W -- Zhang, H -- Zhao, Q -- Zheng, L -- Zhong, F -- Zhong, W -- Zhu, S -- Zhao, S -- Gilbert, D -- Baumhueter, S -- Spier, G -- Carter, C -- Cravchik, A -- Woodage, T -- Ali, F -- An, H -- Awe, A -- Baldwin, D -- Baden, H -- Barnstead, M -- Barrow, I -- Beeson, K -- Busam, D -- Carver, A -- Center, A -- Cheng, M L -- Curry, L -- Danaher, S -- Davenport, L -- Desilets, R -- Dietz, S -- Dodson, K -- Doup, L -- Ferriera, S -- Garg, N -- Gluecksmann, A -- Hart, B -- Haynes, J -- Haynes, C -- Heiner, C -- Hladun, S -- Hostin, D -- Houck, J -- Howland, T -- Ibegwam, C -- Johnson, J -- Kalush, F -- Kline, L -- Koduru, S -- Love, A -- Mann, F -- May, D -- McCawley, S -- McIntosh, T -- McMullen, I -- Moy, M -- Moy, L -- Murphy, B -- Nelson, K -- Pfannkoch, C -- Pratts, E -- Puri, V -- Qureshi, H -- Reardon, M -- Rodriguez, R -- Rogers, Y H -- Romblad, D -- Ruhfel, B -- Scott, R -- Sitter, C -- Smallwood, M -- Stewart, E -- Strong, R -- Suh, E -- Thomas, R -- Tint, N N -- Tse, S -- Vech, C -- Wang, G -- Wetter, J -- Williams, S -- Williams, M -- Windsor, S -- Winn-Deen, E -- Wolfe, K -- Zaveri, J -- Zaveri, K -- Abril, J F -- Guigo, R -- Campbell, M J -- Sjolander, K V -- Karlak, B -- Kejariwal, A -- Mi, H -- Lazareva, B -- Hatton, T -- Narechania, A -- Diemer, K -- Muruganujan, A -- Guo, N -- Sato, S -- Bafna, V -- Istrail, S -- Lippert, R -- Schwartz, R -- Walenz, B -- Yooseph, S -- Allen, D -- Basu, A -- Baxendale, J -- Blick, L -- Caminha, M -- Carnes-Stine, J -- Caulk, P -- Chiang, Y H -- Coyne, M -- Dahlke, C -- Mays, A -- Dombroski, M -- Donnelly, M -- Ely, D -- Esparham, S -- Fosler, C -- Gire, H -- Glanowski, S -- Glasser, K -- Glodek, A -- Gorokhov, M -- Graham, K -- Gropman, B -- Harris, M -- Heil, J -- Henderson, S -- Hoover, J -- Jennings, D -- Jordan, C -- Jordan, J -- Kasha, J -- Kagan, L -- Kraft, C -- Levitsky, A -- Lewis, M -- Liu, X -- Lopez, J -- Ma, D -- Majoros, W -- McDaniel, J -- Murphy, S -- Newman, M -- Nguyen, T -- Nguyen, N -- Nodell, M -- Pan, S -- Peck, J -- Peterson, M -- Rowe, W -- Sanders, R -- Scott, J -- Simpson, M -- Smith, T -- Sprague, A -- Stockwell, T -- Turner, R -- Venter, E -- Wang, M -- Wen, M -- Wu, D -- Wu, M -- Xia, A -- Zandieh, A -- Zhu, X -- New York, N.Y. -- Science. 2001 Feb 16;291(5507):1304-51.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Celera Genomics, 45 West Gude Drive, Rockville, MD 20850, USA. humangenome@celera.com〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/11181995" target="_blank"〉PubMed〈/a〉
    Keywords: Algorithms ; Animals ; Chromosome Banding ; Chromosome Mapping ; Chromosomes, Artificial, Bacterial ; Computational Biology ; Consensus Sequence ; CpG Islands ; DNA, Intergenic ; Databases, Factual ; Evolution, Molecular ; Exons ; Female ; Gene Duplication ; Genes ; Genetic Variation ; *Genome, Human ; *Human Genome Project ; Humans ; Introns ; Male ; Phenotype ; Physical Chromosome Mapping ; Polymorphism, Single Nucleotide ; Proteins/genetics/physiology ; Pseudogenes ; Repetitive Sequences, Nucleic Acid ; Retroelements ; *Sequence Analysis, DNA/methods ; Species Specificity
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2012-05-19
    Description: Rare genetic variants contribute to complex disease risk; however, the abundance of rare variants in human populations remains unknown. We explored this spectrum of variation by sequencing 202 genes encoding drug targets in 14,002 individuals. We find rare variants are abundant (1 every 17 bases) and geographically localized, so that even with large sample sizes, rare variant catalogs will be largely incomplete. We used the observed patterns of variation to estimate population growth parameters, the proportion of variants in a given frequency class that are putatively deleterious, and mutation rates for each gene. We conclude that because of rapid population growth and weak purifying selection, human populations harbor an abundance of rare variants, many of which are deleterious and have relevance to understanding disease risk.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4319976/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4319976/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Nelson, Matthew R -- Wegmann, Daniel -- Ehm, Margaret G -- Kessner, Darren -- St Jean, Pamela -- Verzilli, Claudio -- Shen, Judong -- Tang, Zhengzheng -- Bacanu, Silviu-Alin -- Fraser, Dana -- Warren, Liling -- Aponte, Jennifer -- Zawistowski, Matthew -- Liu, Xiao -- Zhang, Hao -- Zhang, Yong -- Li, Jun -- Li, Yun -- Li, Li -- Woollard, Peter -- Topp, Simon -- Hall, Matthew D -- Nangle, Keith -- Wang, Jun -- Abecasis, Goncalo -- Cardon, Lon R -- Zollner, Sebastian -- Whittaker, John C -- Chissoe, Stephanie L -- Novembre, John -- Mooser, Vincent -- T32 HG002536/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2012 Jul 6;337(6090):100-4. doi: 10.1126/science.1217876. Epub 2012 May 17.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Quantitative Sciences, GlaxoSmithKline (GSK), Research Triangle Park, NC 27709, USA. matthew.r.nelson@gsk.com〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22604722" target="_blank"〉PubMed〈/a〉
    Keywords: African Americans/genetics ; Asian Continental Ancestry Group ; Disease/*genetics ; European Continental Ancestry Group/genetics ; Gene Frequency ; Genetic Association Studies ; Genetic Predisposition to Disease ; *Genetic Variation ; *Genome, Human ; Geography ; High-Throughput Nucleotide Sequencing ; Humans ; Molecular Targeted Therapy ; Multifactorial Inheritance ; Mutation Rate ; Pharmacogenetics ; Phenotype ; Polymorphism, Single Nucleotide ; Population Growth ; Sample Size ; Selection, Genetic
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2012-02-22
    Description: Genome-sequencing studies indicate that all humans carry many genetic variants predicted to cause loss of function (LoF) of protein-coding genes, suggesting unexpected redundancy in the human genome. Here we apply stringent filters to 2951 putative LoF variants obtained from 185 human genomes to determine their true prevalence and properties. We estimate that human genomes typically contain ~100 genuine LoF variants with ~20 genes completely inactivated. We identify rare and likely deleterious LoF alleles, including 26 known and 21 predicted severe disease-causing variants, as well as common LoF variants in nonessential genes. We describe functional and evolutionary differences between LoF-tolerant and recessive disease genes and a method for using these differences to prioritize candidate genes found in clinical sequencing studies.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3299548/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3299548/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉MacArthur, Daniel G -- Balasubramanian, Suganthi -- Frankish, Adam -- Huang, Ni -- Morris, James -- Walter, Klaudia -- Jostins, Luke -- Habegger, Lukas -- Pickrell, Joseph K -- Montgomery, Stephen B -- Albers, Cornelis A -- Zhang, Zhengdong D -- Conrad, Donald F -- Lunter, Gerton -- Zheng, Hancheng -- Ayub, Qasim -- DePristo, Mark A -- Banks, Eric -- Hu, Min -- Handsaker, Robert E -- Rosenfeld, Jeffrey A -- Fromer, Menachem -- Jin, Mike -- Mu, Xinmeng Jasmine -- Khurana, Ekta -- Ye, Kai -- Kay, Mike -- Saunders, Gary Ian -- Suner, Marie-Marthe -- Hunt, Toby -- Barnes, If H A -- Amid, Clara -- Carvalho-Silva, Denise R -- Bignell, Alexandra H -- Snow, Catherine -- Yngvadottir, Bryndis -- Bumpstead, Suzannah -- Cooper, David N -- Xue, Yali -- Romero, Irene Gallego -- 1000 Genomes Project Consortium -- Wang, Jun -- Li, Yingrui -- Gibbs, Richard A -- McCarroll, Steven A -- Dermitzakis, Emmanouil T -- Pritchard, Jonathan K -- Barrett, Jeffrey C -- Harrow, Jennifer -- Hurles, Matthew E -- Gerstein, Mark B -- Tyler-Smith, Chris -- 085532/Wellcome Trust/United Kingdom -- 090532/Wellcome Trust/United Kingdom -- 090532/Z/09/Z/Wellcome Trust/United Kingdom -- 098051/Wellcome Trust/United Kingdom -- BB/I02593X/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- RG/09/012/28096/British Heart Foundation/United Kingdom -- U54 HG003273/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2012 Feb 17;335(6070):823-8. doi: 10.1126/science.1215040.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Wellcome Trust Sanger Institute, Hinxton, UK. macarthur@atgu.mgh.harvard.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22344438" target="_blank"〉PubMed〈/a〉
    Keywords: Disease/genetics ; Gene Expression ; Gene Frequency ; *Genetic Variation ; *Genome, Human ; Humans ; Phenotype ; Polymorphism, Single Nucleotide ; Proteins/*genetics ; Selection, Genetic
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  • 4
    Publication Date: 2004-10-23
    Description: Computational tools can markedly accelerate the rate at which murine genetic models can be analyzed. We developed a computational method for mapping phenotypic traits that vary among inbred strains onto haplotypic blocks. This method correctly predicted the genetic basis for strain-specific differences in several biologically important traits. It was also used to identify an allele-specific functional genomic element regulating H2-Ealpha gene expression. This functional element, which contained the binding sites for YY1 and a second transcription factor that is probably serum response factor, is located within the first intron of the H2-Ealpha gene. This computational method will greatly improve our ability to identify the genetic basis for a variety of phenotypic traits, ranging from qualitative trait information to quantitative gene expression data, which vary among inbred mouse strains.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Liao, Guochun -- Wang, Jianmei -- Guo, Jingshu -- Allard, John -- Cheng, Janet -- Ng, Anh -- Shafer, Steve -- Puech, Anne -- McPherson, John D -- Foernzler, Dorothee -- Peltz, Gary -- Usuka, Jonathan -- 1 R01 HG02322-01/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2004 Oct 22;306(5696):690-5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genetics and Genomics, Roche Palo Alto, 3431 Hillview Avenue, Palo Alto, CA 94304-1397, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/15499019" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Animals ; Binding Sites ; *Computational Biology ; Electrophoretic Mobility Shift Assay ; Gene Expression Profiling ; *Gene Expression Regulation ; Genes, MHC Class II ; Genetic Variation ; H-2 Antigens/*genetics ; Haplotypes ; Hydrocarbons, Aromatic/pharmacology ; Introns ; Liver/metabolism ; Lung/metabolism ; Major Histocompatibility Complex ; Mice ; Mice, Inbred Strains ; Oligodeoxyribonucleotides/metabolism ; Oligonucleotide Array Sequence Analysis ; Phenotype ; Polymorphism, Single Nucleotide ; Receptors, Aryl Hydrocarbon/chemistry/genetics/metabolism ; Regulatory Sequences, Nucleic Acid ; Serum Response Factor/metabolism ; Transcription Factors/metabolism
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    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 5
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    American Association for the Advancement of Science (AAAS)
    Publication Date: 1996-07-19
    Description: Proliferating murine C2C12 myoblasts can undergo either terminal differentiation or programmed cell death under conditions of mitogen deprivation. Unlike myoblasts, differentiated myotubes were resistant to apoptosis. During myogenesis the appearance of the apoptosis-resistant phenotype was correlated with the induction of the cyclin-dependent kinase (Cdk) inhibitor p21(CIP1) but not with the appearance of myogenin, a marker expressed earlier in differentiation. Forced expression of the Cdk inhibitors p21(CIP1) or p16(INK4A) blocked apoptosis during myocyte differentiation. These data indicate that induction of Cdk inhibitors may serve to protect differentiating myocytes from programmed cell death as well as play a role in establishing the postmitotic state.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3641673/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3641673/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Wang, J -- Walsh, K -- AR40197/AR/NIAMS NIH HHS/ -- HL50692/HL/NHLBI NIH HHS/ -- R01 AG015052/AG/NIA NIH HHS/ -- R01 AR040197/AR/NIAMS NIH HHS/ -- New York, N.Y. -- Science. 1996 Jul 19;273(5273):359-61.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Cardiovascular Research, St. Elizabeth's Medical Center and Tufts University School of Medicine, Boston, MA 02135, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/8662523" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; *Apoptosis ; Carrier Proteins/biosynthesis/genetics/*physiology ; *Cell Differentiation ; Cell Line ; Culture Media ; Cyclin-Dependent Kinase Inhibitor p16 ; Cyclin-Dependent Kinase Inhibitor p21 ; Cyclin-Dependent Kinases/*antagonists & inhibitors ; Cyclins/biosynthesis/genetics/*physiology ; Enzyme Inhibitors/metabolism ; Mice ; Muscles/*cytology/metabolism ; Myogenin/biosynthesis ; Phenotype ; Transfection
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  • 6
    Publication Date: 1995-06-02
    Description: Transforming growth factor-beta (TGF-beta) is a potent inhibitor of epithelial cell growth. Human colon cancer cell lines with high rates of microsatellite instability were found to harbor mutations in the type II TGF-beta receptor (RII) gene. Eight such examples, due to three different mutations, were identified. The mutations were clustered within small repeated sequences in the RII gene, were accompanied by the absence of cell surface RII receptors, and were usually associated with small amounts of RII transcript. RII mutation, by inducing the escape of cells from TGF-beta-mediated growth control, links DNA repair defects with a specific pathway of tumor progression.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Markowitz, S -- Wang, J -- Myeroff, L -- Parsons, R -- Sun, L -- Lutterbaugh, J -- Fan, R S -- Zborowska, E -- Kinzler, K W -- Vogelstein, B -- CA38173/CA/NCI NIH HHS/ -- CA50457/CA/NCI NIH HHS/ -- CA63480/CA/NCI NIH HHS/ -- etc. -- New York, N.Y. -- Science. 1995 Jun 2;268(5215):1336-8.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Medicine, University Hospitals of Cleveland, OH, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/7761852" target="_blank"〉PubMed〈/a〉
    Keywords: Amino Acid Sequence ; Animals ; Colonic Neoplasms/*genetics/metabolism/pathology ; Colorectal Neoplasms, Hereditary Nonpolyposis/*genetics/metabolism/pathology ; DNA Repair ; DNA, Neoplasm/genetics ; DNA, Satellite/*genetics ; Disease Progression ; Frameshift Mutation ; Humans ; Mice ; Molecular Sequence Data ; Neoplasm Transplantation ; Phenotype ; RNA, Messenger/genetics ; Receptors, Transforming Growth Factor beta/*genetics/metabolism ; Repetitive Sequences, Nucleic Acid ; Sequence Deletion ; Transforming Growth Factor beta/metabolism ; Tumor Cells, Cultured
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    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 7
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    Unknown
    American Association for the Advancement of Science (AAAS)
    Publication Date: 1994-09-23
    Description: Studies of the development of murine intestinal intraepithelial lymphocytes (IELs) have yielded markedly different results depending on the experimental system used. In athymic radiation chimeras, IELs consist of all subsets found in euthymic mice; adult mice that were athymic at birth have only IELs that are positive for T cell receptor gamma delta and CD8 alpha alpha. These differences are resolved by the finding that administration of the neuropeptide thyrotropin-releasing hormone to adult mice thymectomized as neonates leads to the development of all IEL T cells. Thus, a neuroendocrine signal initiated by the thymus during fetal or neonatal life appears to be required for subsequent extrathymic maturation of gut alpha beta T cells.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Wang, J -- Klein, J R -- DK35566/DK/NIDDK NIH HHS/ -- R01 DK035566/DK/NIDDK NIH HHS/ -- New York, N.Y. -- Science. 1994 Sep 23;265(5180):1860-2.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biological Science, University of Tulsa, OK 74104.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/8091211" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Antigens, CD8/analysis ; Chimera ; Intestinal Mucosa/cytology/*immunology ; Mice ; Mice, Inbred Strains ; Mice, Nude ; Phenotype ; Receptors, Antigen, T-Cell, alpha-beta/analysis ; T-Lymphocyte Subsets/*cytology/immunology ; Thymectomy ; Thymus Gland/*physiology ; Thyrotropin-Releasing Hormone/*pharmacology
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    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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