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Institution

Indiana University

EducationBloomington, Indiana, United States
About: Indiana University is a education organization based out in Bloomington, Indiana, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 64480 authors who have published 150058 publications receiving 6392902 citations. The organization is also known as: Indiana University system & indiana.edu.


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Journal ArticleDOI
TL;DR: Since ER inhibits the constitutive as well as inducible activation function of NF-kappaB in a dose-dependent manner, it is proposed that breast cancers that lack functional ER overexpress NF- kappaB-regulated genes.
Abstract: Breast cancers often progress from a hormone-dependent, nonmetastatic, antiestrogen-sensitive phenotype to a hormone-independent, antiestrogen- and chemotherapy-resistant phenotype with highly invasive and metastatic growth properties. This progression is usually accompanied by altered function of the estrogen receptor (ER) or outgrowth of ER-negative cancer cells. To understand the molecular mechanisms responsible for metastatic growth of ER-negative breast cancers, the activities of the transcription factor NF-kappaB (which modulates the expression of genes involved in cell proliferation, differentiation, apoptosis, and metastasis) were compared in ER-positive (MCF-7 and T47-D) and ER-negative (MDA-MB-231 and MDA-MB-435) human breast cancer cell lines. NF-kappaB, which is usually maintained in an inactive state by protein-protein interaction with inhibitor IkappaBs, was found to be constitutively active in ER-negative breast cancer cell lines. Constitutive DNA binding of NF-kappaB was also observed with extracts from ER-negative, poorly differentiated primary breast tumors. Progression of the rat mammary carcinoma cell line RM22-F5 from an ER-positive, nonmalignant phenotype (E phenotype) to an ER-negative, malignant phenotype (F phenotype) was also accompanied by constitutive activation of NF-kappaB. Analysis of individual subunits of NF-kappaB revealed that all ER-negative cell lines, including RM22-F5 cells of F phenotype, contain a unique 37-kDa protein which is antigenically related to the RelA subunit. Cell-type-specific differences in IkappaB alpha, -beta, and -gamma were also observed. In transient-transfection experiments, constitutive activity of an NF-kappaB-dependent promoter was observed in MDA-MB-231 and RM22-F5 cells of F phenotype, and this activity was efficiently repressed by cotransfected ER. Since ER inhibits the constitutive as well as inducible activation function of NF-kappaB in a dose-dependent manner, we propose that breast cancers that lack functional ER overexpress NF-kappaB-regulated genes. Furthermore, since recent data indicate that NF-kappaB protects cells from tumor necrosis factor alpha-, ionizing radiation-, and chemotherapeutic agent daunorubicin-mediated apoptosis, our results provide an explanation for chemotherapeutic resistance in ER-negative breast cancers.

859 citations

Journal ArticleDOI
Predrag Radivojac1, Wyatt T. Clark1, Tal Ronnen Oron2, Alexandra M. Schnoes3, Tobias Wittkop2, Artem Sokolov4, Artem Sokolov5, Kiley Graim5, Christopher S. Funk6, Karin Verspoor6, Asa Ben-Hur5, Gaurav Pandey7, Gaurav Pandey8, Jeffrey M. Yunes8, Ameet Talwalkar8, Susanna Repo9, Susanna Repo8, Michael L Souza8, Damiano Piovesan10, Rita Casadio10, Zheng Wang11, Jianlin Cheng11, Hai Fang, Julian Gough12, Patrik Koskinen13, Petri Törönen13, Jussi Nokso-Koivisto13, Liisa Holm13, Domenico Cozzetto14, Daniel W. A. Buchan14, Kevin Bryson14, David T. Jones14, Bhakti Limaye15, Harshal Inamdar15, Avik Datta15, Sunitha K Manjari15, Rajendra Joshi15, Meghana Chitale16, Daisuke Kihara16, Andreas Martin Lisewski17, Serkan Erdin17, Eric Venner17, Olivier Lichtarge17, Robert Rentzsch14, Haixuan Yang18, Alfonso E. Romero18, Prajwal Bhat18, Alberto Paccanaro18, Tobias Hamp19, Rebecca Kaßner19, Stefan Seemayer19, Esmeralda Vicedo19, Christian Schaefer19, Dominik Achten19, Florian Auer19, Ariane Boehm19, Tatjana Braun19, Maximilian Hecht19, Mark Heron19, Peter Hönigschmid19, Thomas A. Hopf19, Stefanie Kaufmann19, Michael Kiening19, Denis Krompass19, Cedric Landerer19, Yannick Mahlich19, Manfred Roos19, Jari Björne20, Tapio Salakoski20, Andrew Wong21, Hagit Shatkay22, Hagit Shatkay21, Fanny Gatzmann23, Ingolf Sommer23, Mark N. Wass24, Michael J.E. Sternberg24, Nives Škunca, Fran Supek, Matko Bošnjak, Panče Panov, Sašo Džeroski, Tomislav Šmuc, Yiannis A. I. Kourmpetis25, Yiannis A. I. Kourmpetis26, Aalt D. J. van Dijk25, Cajo J. F. ter Braak25, Yuanpeng Zhou27, Qingtian Gong27, Xinran Dong27, Weidong Tian27, Marco Falda28, Paolo Fontana, Enrico Lavezzo28, Barbara Di Camillo28, Stefano Toppo28, Liang Lan29, Nemanja Djuric29, Yuhong Guo29, Slobodan Vucetic29, Amos Marc Bairoch30, Amos Marc Bairoch31, Michal Linial32, Patricia C. Babbitt3, Steven E. Brenner8, Christine A. Orengo14, Burkhard Rost19, Sean D. Mooney2, Iddo Friedberg33 
TL;DR: Today's best protein function prediction algorithms substantially outperform widely used first-generation methods, with large gains on all types of targets, and there is considerable need for improvement of currently available tools.
Abstract: Automated annotation of protein function is challenging. As the number of sequenced genomes rapidly grows, the overwhelming majority of protein products can only be annotated computationally. If computational predictions are to be relied upon, it is crucial that the accuracy of these methods be high. Here we report the results from the first large-scale community-based critical assessment of protein function annotation (CAFA) experiment. Fifty-four methods representing the state of the art for protein function prediction were evaluated on a target set of 866 proteins from 11 organisms. Two findings stand out: (i) today's best protein function prediction algorithms substantially outperform widely used first-generation methods, with large gains on all types of targets; and (ii) although the top methods perform well enough to guide experiments, there is considerable need for improvement of currently available tools.

859 citations

Journal ArticleDOI
TL;DR: Evidence demonstrates an association between a number of single nucleotide polymorphisms in oxidative DNA repair genes and antioxidant genes with human cancer susceptibility and the resultant altered gene expression patterns evoked by ROS contribute to the carcinogenesis process.
Abstract: Carcinogenesis is a multistep process involving mutation and the subsequent selective clonal expansion of the mutated cell. Chemical and physical agents including those that induce reative oxygen species can induce and/or modulate this multistep process. Several modes of action by which carcinogens induce cancer have been identified, including through production of reactive oxygen species (ROS). Oxidative damage to cellular macromolecules can arise through overproduction of ROS and faulty antioxidant and/or DNA repair mechanisms. In addition, ROS can stimulate signal transduction pathways and lead to activation of key transcription factors such as Nrf2 and NF-kappaB. The resultant altered gene expression patterns evoked by ROS contribute to the carcinogenesis process. Recent evidence demonstrates an association between a number of single nucleotide polymorphisms (SNPs) in oxidative DNA repair genes and antioxidant genes with human cancer susceptibility. These aspects of ROS biology will be discussed in the context of their relationship to carcinogenesis.

859 citations

Journal ArticleDOI
TL;DR: The guideline includes data on the epidemiology, clinical features, diagnosis, and treatment of many viral, bacterial, fungal, protozoal, and helminthic etiologies of encephalitis and provides information on when specific etiologic agents should be considered in individual patients with encephalopathy.
Abstract: Guidelines for the diagnosis and treatment of patients with encephalitis were prepared by an Expert Panel of the Infectious Diseases Society of America. The guidelines are intended for use by health care providers who care for patients with encephalitis. The guideline includes data on the epidemiology, clinical features, diagnosis, and treatment of many viral, bacterial, fungal, protozoal, and helminthic etiologies of encephalitis and provides information on when specific etiologic agents should be considered in individual patients with encephalitis.

858 citations

Journal ArticleDOI
TL;DR: The differential environmental fates and toxicities of various hexachlorocyclohexane (HCH) isomers including lindane and isomers in the technical mixture will be the focus of this review.
Abstract: The differential environmental fates and toxicities of the various hexachlorocyclohexane (HCH) isomers including lindane and isomers in the technical mixture will be the focus of this review. HCHs are one of the most widely used and most readily detected organochlorine pesticides in environmental samples. The relatively high volatility of HCH has led to global transport, even into formerly pristine locations such as the Arctic. Certain HCHs cause central nervous system, reproductive, and endocrine damage. Because γ-HCH is rapidly metabolized, the β-HCH isomer is consistently found in higher concentrations in human fat, blood, and breast milk. In contrast, α- and γ-HCH are the most prevalent isomers in soil, water, and air samples. The ratio of the α- to γ-isomers can be used to track global transport of HCHs. A new area of HCH research focuses on the selective degradation of the two α-HCH enantiomers in various environmental matrices. These HCH issues and recommendations for future HCH research are presen...

858 citations


Authors

Showing all 64884 results

NameH-indexPapersCitations
Frank B. Hu2501675253464
Stuart H. Orkin186715112182
Bruce M. Spiegelman179434158009
David R. Williams1782034138789
D. M. Strom1763167194314
Markus Antonietti1761068127235
Lei Jiang1702244135205
Brenda W.J.H. Penninx1701139119082
Nahum Sonenberg167647104053
Carl W. Cotman165809105323
Yang Yang1642704144071
Jaakko Kaprio1631532126320
Ralph A. DeFronzo160759132993
Gavin Davies1592036149835
Tyler Jacks158463115172
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023127
2022694
20217,273
20207,310
20196,943
20186,496