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  • pollution  (2)
  • *Gene Expression Profiling  (1)
  • *Gene Expression Regulation  (1)
  • 1
    ISSN: 1573-3017
    Keywords: biomarkers ; Bluegill ; sediment ; pollution ; EFPC
    Source: Springer Online Journal Archives 1860-2000
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Notes: Abstract The temporal expression of various biological rsponses was determined in Bluegill SunfishLepomis macrochirus exposed under controlled laboratory conditions to sediment containing high concentrations of polynuclear aromatic hydrocarbons, polychlorinated biphenyls and heavy metals. Liver, gill, blood, kidney, brain, spleen and intestine were removed from Sunfish sampled at 1, 2, 4, 8, 16, and 40 weeks post-exposure. Biomarker data were recorded for specific proteins, enzymatic activities, DNA integrity, and histopathology. Biomarkers in the laboratory exposed fish were similar to those of indigenous Sunfish sampled from the site of origin of the contaminated sediment. Several patterns of development of biomarkers over time were also evident. For example, the responses of certain biomarkers are not time-dependent (i.e., intestine and gill ATPase activities) while that of others, such as brain ATPase activity, liver cytochrome P450 and NADPH content, stress proteins, chromatin proteins and DNA strand breaks, fluctuate over time. Still other biomarkers, such as EROD activity, zinc protoporphyrin content of the blood, and DNA adducts, showed marked increases over time. Such patterns need to be considered when comparing laboratory and field results and deciding which biomarkers to use for biomonitoring programs. Implications for natural selection and population/community level responses are also discussed.
    Type of Medium: Electronic Resource
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  • 2
    ISSN: 1573-3017
    Keywords: Trachemys scripta ; flow cytometry ; biomarkers ; sentinel ; pollution
    Source: Springer Online Journal Archives 1860-2000
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Notes: Abstract We used flow cytometry (FCM) to conduct a multiple-tissue assay on slider turtles (Trachemys scripta) inhabiting radioactive seepage basins. Duplicate samples of blood, heart, spleen and kidney were analysed on two different cytometers (Leitz MPV and Coulter Profile II), each employing distinct staining protocols (DAPI and PI, respectively). Both DAPI and PI assays of spleen cells demonstrated significantly greater variation in DNA content for the basin turtles than for ‘control’ animals from nearby, uncontaminated sites. Basin turtles also exhibited significant cell-cycle effects for blood and spleen, again revealed by both assays. These corroborative findings demonstrate the consistency and repeatability of FCM assays in environmental monitoring and identify the particularly sensitive nature of turtle blood and spleen to mutagenic agents. Our survey complements previous FCM studies on sliders from contaminated sites and thereby underscores the species' potential as a sentinel for biomarker assays.
    Type of Medium: Electronic Resource
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  • 3
    Publication Date: 2010-12-24
    Description: We systematically generated large-scale data sets to improve genome annotation for the nematode Caenorhabditis elegans, a key model organism. These data sets include transcriptome profiling across a developmental time course, genome-wide identification of transcription factor-binding sites, and maps of chromatin organization. From this, we created more complete and accurate gene models, including alternative splice forms and candidate noncoding RNAs. We constructed hierarchical networks of transcription factor-binding and microRNA interactions and discovered chromosomal locations bound by an unusually large number of transcription factors. Different patterns of chromatin composition and histone modification were revealed between chromosome arms and centers, with similarly prominent differences between autosomes and the X chromosome. Integrating data types, we built statistical models relating chromatin, transcription factor binding, and gene expression. Overall, our analyses ascribed putative functions to most of the conserved genome.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3142569/" 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/PMC3142569/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gerstein, Mark B -- Lu, Zhi John -- Van Nostrand, Eric L -- Cheng, Chao -- Arshinoff, Bradley I -- Liu, Tao -- Yip, Kevin Y -- Robilotto, Rebecca -- Rechtsteiner, Andreas -- Ikegami, Kohta -- Alves, Pedro -- Chateigner, Aurelien -- Perry, Marc -- Morris, Mitzi -- Auerbach, Raymond K -- Feng, Xin -- Leng, Jing -- Vielle, Anne -- Niu, Wei -- Rhrissorrakrai, Kahn -- Agarwal, Ashish -- Alexander, Roger P -- Barber, Galt -- Brdlik, Cathleen M -- Brennan, Jennifer -- Brouillet, Jeremy Jean -- Carr, Adrian -- Cheung, Ming-Sin -- Clawson, Hiram -- Contrino, Sergio -- Dannenberg, Luke O -- Dernburg, Abby F -- Desai, Arshad -- Dick, Lindsay -- Dose, Andrea C -- Du, Jiang -- Egelhofer, Thea -- Ercan, Sevinc -- Euskirchen, Ghia -- Ewing, Brent -- Feingold, Elise A -- Gassmann, Reto -- Good, Peter J -- Green, Phil -- Gullier, Francois -- Gutwein, Michelle -- Guyer, Mark S -- Habegger, Lukas -- Han, Ting -- Henikoff, Jorja G -- Henz, Stefan R -- Hinrichs, Angie -- Holster, Heather -- Hyman, Tony -- Iniguez, A Leo -- Janette, Judith -- Jensen, Morten -- Kato, Masaomi -- Kent, W James -- Kephart, Ellen -- Khivansara, Vishal -- Khurana, Ekta -- Kim, John K -- Kolasinska-Zwierz, Paulina -- Lai, Eric C -- Latorre, Isabel -- Leahey, Amber -- Lewis, Suzanna -- Lloyd, Paul -- Lochovsky, Lucas -- Lowdon, Rebecca F -- Lubling, Yaniv -- Lyne, Rachel -- MacCoss, Michael -- Mackowiak, Sebastian D -- Mangone, Marco -- McKay, Sheldon -- Mecenas, Desirea -- Merrihew, Gennifer -- Miller, David M 3rd -- Muroyama, Andrew -- Murray, John I -- Ooi, Siew-Loon -- Pham, Hoang -- Phippen, Taryn -- Preston, Elicia A -- Rajewsky, Nikolaus -- Ratsch, Gunnar -- Rosenbaum, Heidi -- Rozowsky, Joel -- Rutherford, Kim -- Ruzanov, Peter -- Sarov, Mihail -- Sasidharan, Rajkumar -- Sboner, Andrea -- Scheid, Paul -- Segal, Eran -- Shin, Hyunjin -- Shou, Chong -- Slack, Frank J -- Slightam, Cindie -- Smith, Richard -- Spencer, William C -- Stinson, E O -- Taing, Scott -- Takasaki, Teruaki -- Vafeados, Dionne -- Voronina, Ksenia -- Wang, Guilin -- Washington, Nicole L -- Whittle, Christina M -- Wu, Beijing -- Yan, Koon-Kiu -- Zeller, Georg -- Zha, Zheng -- Zhong, Mei -- Zhou, Xingliang -- modENCODE Consortium -- Ahringer, Julie -- Strome, Susan -- Gunsalus, Kristin C -- Micklem, Gos -- Liu, X Shirley -- Reinke, Valerie -- Kim, Stuart K -- Hillier, LaDeana W -- Henikoff, Steven -- Piano, Fabio -- Snyder, Michael -- Stein, Lincoln -- Lieb, Jason D -- Waterston, Robert H -- 054523/Wellcome Trust/United Kingdom -- R01 GM088565/GM/NIGMS NIH HHS/ -- R01 GM088565-03/GM/NIGMS NIH HHS/ -- R01GM088565/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- Wellcome Trust/United Kingdom -- New York, N.Y. -- Science. 2010 Dec 24;330(6012):1775-87. doi: 10.1126/science.1196914. Epub 2010 Dec 22.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Program in Computational Biology and Bioinformatics, Yale University, Bass 432, 266 Whitney Avenue, New Haven, CT 06520, USA. modencode.worm.pi@gersteinlab.org〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21177976" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Caenorhabditis elegans/*genetics/growth & development/metabolism ; Caenorhabditis elegans Proteins/genetics/metabolism ; Chromatin/genetics/metabolism/ultrastructure ; *Chromosomes/genetics/metabolism/ultrastructure ; Computational Biology/methods ; Conserved Sequence ; Evolution, Molecular ; *Gene Expression Profiling ; *Gene Expression Regulation ; Gene Regulatory Networks ; Genes, Helminth ; *Genome, Helminth ; Genomics/methods ; Histones/metabolism ; Models, Genetic ; *Molecular Sequence Annotation ; RNA, Helminth/genetics/metabolism ; RNA, Untranslated/genetics/metabolism ; Regulatory Sequences, Nucleic Acid ; Transcription Factors/genetics/metabolism
    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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