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  • 1
    Publication Date: 2002-10-26
    Description: We have determined how most of the transcriptional regulators encoded in the eukaryote Saccharomyces cerevisiae associate with genes across the genome in living cells. Just as maps of metabolic networks describe the potential pathways that may be used by a cell to accomplish metabolic processes, this network of regulator-gene interactions describes potential pathways yeast cells can use to regulate global gene expression programs. We use this information to identify network motifs, the simplest units of network architecture, and demonstrate that an automated process can use motifs to assemble a transcriptional regulatory network structure. Our results reveal that eukaryotic cellular functions are highly connected through networks of transcriptional regulators that regulate other transcriptional regulators.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lee, Tong Ihn -- Rinaldi, Nicola J -- Robert, Francois -- Odom, Duncan T -- Bar-Joseph, Ziv -- Gerber, Georg K -- Hannett, Nancy M -- Harbison, Christopher T -- Thompson, Craig M -- Simon, Itamar -- Zeitlinger, Julia -- Jennings, Ezra G -- Murray, Heather L -- Gordon, D Benjamin -- Ren, Bing -- Wyrick, John J -- Tagne, Jean-Bosco -- Volkert, Thomas L -- Fraenkel, Ernest -- Gifford, David K -- Young, Richard A -- New York, N.Y. -- Science. 2002 Oct 25;298(5594):799-804.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Whitehead Institute for Biomedical Research, Nine Cambridge Center, Cambridge, MA 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/12399584" target="_blank"〉PubMed〈/a〉
    Keywords: Algorithms ; Cell Cycle ; Computational Biology ; DNA, Fungal/genetics/metabolism ; Feedback, Physiological ; Gene Expression Profiling ; *Gene Expression Regulation, Fungal ; *Genes, Fungal ; Genome, Fungal ; Models, Genetic ; *Promoter Regions, Genetic ; Protein Binding ; Saccharomyces cerevisiae/cytology/*genetics/growth & development/metabolism ; Saccharomyces cerevisiae Proteins/genetics/*metabolism ; Transcription Factors/genetics/*metabolism ; Transcription, 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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  • 2
    Publication Date: 2004-02-28
    Description: The transcriptional regulatory networks that specify and maintain human tissue diversity are largely uncharted. To gain insight into this circuitry, we used chromatin immunoprecipitation combined with promoter microarrays to identify systematically the genes occupied by the transcriptional regulators HNF1alpha, HNF4alpha, and HNF6, together with RNA polymerase II, in human liver and pancreatic islets. We identified tissue-specific regulatory circuits formed by HNF1alpha, HNF4alpha, and HNF6 with other transcription factors, revealing how these factors function as master regulators of hepatocyte and islet transcription. Our results suggest how misregulation of HNF4alpha can contribute to type 2 diabetes.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3012624/" 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/PMC3012624/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Odom, Duncan T -- Zizlsperger, Nora -- Gordon, D Benjamin -- Bell, George W -- Rinaldi, Nicola J -- Murray, Heather L -- Volkert, Tom L -- Schreiber, Jorg -- Rolfe, P Alexander -- Gifford, David K -- Fraenkel, Ernest -- Bell, Graeme I -- Young, Richard A -- N01-DK-9-2310/DK/NIDDK NIH HHS/ -- R01 HG002668/HG/NHGRI NIH HHS/ -- R01 HG002668-01/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2004 Feb 27;303(5662):1378-81.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Whitehead Institute for Biomedical Research, 9 Cambridge Center, Cambridge, MA 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/14988562" target="_blank"〉PubMed〈/a〉
    Keywords: Basic Helix-Loop-Helix Leucine Zipper Transcription Factors ; Carbohydrate Metabolism ; *DNA-Binding Proteins ; Diabetes Mellitus, Type 2/etiology/genetics ; Gene Expression Profiling ; *Gene Expression Regulation ; Genome, Human ; Gluconeogenesis ; Hepatocyte Nuclear Factor 1 ; Hepatocyte Nuclear Factor 1-alpha ; Hepatocyte Nuclear Factor 1-beta ; Hepatocyte Nuclear Factor 4 ; Hepatocyte Nuclear Factor 6 ; Hepatocytes/*metabolism ; Homeodomain Proteins/*metabolism ; Humans ; Islets of Langerhans/*metabolism ; Lipid Metabolism ; *Nuclear Proteins ; Oligonucleotide Array Sequence Analysis ; Phosphoproteins/*metabolism ; Precipitin Tests ; Promoter Regions, Genetic ; RNA Polymerase II/metabolism ; Trans-Activators/*metabolism ; Transcription Factors/*metabolism ; Transcription, 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: 2012-03-09
    Description: Gorillas are humans' closest living relatives after chimpanzees, and are of comparable importance for the study of human origins and evolution. Here we present the assembly and analysis of a genome sequence for the western lowland gorilla, and compare the whole genomes of all extant great ape genera. We propose a synthesis of genetic and fossil evidence consistent with placing the human-chimpanzee and human-chimpanzee-gorilla speciation events at approximately 6 and 10 million years ago. In 30% of the genome, gorilla is closer to human or chimpanzee than the latter are to each other; this is rarer around coding genes, indicating pervasive selection throughout great ape evolution, and has functional consequences in gene expression. A comparison of protein coding genes reveals approximately 500 genes showing accelerated evolution on each of the gorilla, human and chimpanzee lineages, and evidence for parallel acceleration, particularly of genes involved in hearing. We also compare the western and eastern gorilla species, estimating an average sequence divergence time 1.75 million years ago, but with evidence for more recent genetic exchange and a population bottleneck in the eastern species. The use of the genome sequence in these and future analyses will promote a deeper understanding of great ape biology and evolution.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3303130/" 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/PMC3303130/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Scally, Aylwyn -- Dutheil, Julien Y -- Hillier, LaDeana W -- Jordan, Gregory E -- Goodhead, Ian -- Herrero, Javier -- Hobolth, Asger -- Lappalainen, Tuuli -- Mailund, Thomas -- Marques-Bonet, Tomas -- McCarthy, Shane -- Montgomery, Stephen H -- Schwalie, Petra C -- Tang, Y Amy -- Ward, Michelle C -- Xue, Yali -- Yngvadottir, Bryndis -- Alkan, Can -- Andersen, Lars N -- Ayub, Qasim -- Ball, Edward V -- Beal, Kathryn -- Bradley, Brenda J -- Chen, Yuan -- Clee, Chris M -- Fitzgerald, Stephen -- Graves, Tina A -- Gu, Yong -- Heath, Paul -- Heger, Andreas -- Karakoc, Emre -- Kolb-Kokocinski, Anja -- Laird, Gavin K -- Lunter, Gerton -- Meader, Stephen -- Mort, Matthew -- Mullikin, James C -- Munch, Kasper -- O'Connor, Timothy D -- Phillips, Andrew D -- Prado-Martinez, Javier -- Rogers, Anthony S -- Sajjadian, Saba -- Schmidt, Dominic -- Shaw, Katy -- Simpson, Jared T -- Stenson, Peter D -- Turner, Daniel J -- Vigilant, Linda -- Vilella, Albert J -- Whitener, Weldon -- Zhu, Baoli -- Cooper, David N -- de Jong, Pieter -- Dermitzakis, Emmanouil T -- Eichler, Evan E -- Flicek, Paul -- Goldman, Nick -- Mundy, Nicholas I -- Ning, Zemin -- Odom, Duncan T -- Ponting, Chris P -- Quail, Michael A -- Ryder, Oliver A -- Searle, Stephen M -- Warren, Wesley C -- Wilson, Richard K -- Schierup, Mikkel H -- Rogers, Jane -- Tyler-Smith, Chris -- Durbin, Richard -- 062023/Wellcome Trust/United Kingdom -- 075491/Z/04/Wellcome Trust/United Kingdom -- 077009/Wellcome Trust/United Kingdom -- 077192/Wellcome Trust/United Kingdom -- 077198/Wellcome Trust/United Kingdom -- 089066/Wellcome Trust/United Kingdom -- 090532/Wellcome Trust/United Kingdom -- 095908/Wellcome Trust/United Kingdom -- 15603/Cancer Research UK/United Kingdom -- 202218/European Research Council/International -- A15603/Cancer Research UK/United Kingdom -- G0501331/Medical Research Council/United Kingdom -- G0701805/Medical Research Council/United Kingdom -- HG002385/HG/NHGRI NIH HHS/ -- U54 HG003079/HG/NHGRI NIH HHS/ -- WT062023/Wellcome Trust/United Kingdom -- WT077009/Wellcome Trust/United Kingdom -- WT077192/Wellcome Trust/United Kingdom -- WT077198/Wellcome Trust/United Kingdom -- WT089066/Wellcome Trust/United Kingdom -- Medical Research Council/United Kingdom -- Biotechnology and Biological Sciences Research Council/United Kingdom -- Howard Hughes Medical Institute/ -- Intramural NIH HHS/ -- England -- Nature. 2012 Mar 7;483(7388):169-75. doi: 10.1038/nature10842.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22398555" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; *Evolution, Molecular ; Female ; Gene Expression Regulation ; *Genetic Speciation ; Genetic Variation/genetics ; Genome/*genetics ; Genomics ; Gorilla gorilla/*genetics ; Humans ; Macaca mulatta/genetics ; Molecular Sequence Data ; Pan troglodytes/genetics ; Phylogeny ; Pongo/genetics ; Proteins/genetics ; Sequence Alignment ; Species Specificity ; Transcription, Genetic
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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