15 results on '"Iype, L."'
Search Results
2. Comprehensive and Integrated Genomic Characterization of Adult Soft Tissue Sarcomas
- Author
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Lazar, AJ, McLellan, MD, Bailey, MH, Miller, CA, Appelbaum, EL, Cordes, MG, Fronick, CC, Fulton, LA, Fulton, RS, Mardis, ER, Schmidt, HK, Wong, W, Wilson, RK, Yellapantula, V, Radenbaugh, AJ, Hoadley, KA, Hayes, DN, Parker, JS, Wilkerson, MD, Auman, JT, Balu, S, Bodenheimer, T, Hoyle, AP, Jefferys, SR, Jones, CD, Lehmann, K-V, Meng, S, Mieczkowski, PA, Mose, LE, Perou, CM, Roach, J, Senbabaoglu, Y, Shi, Y, Simons, JV, Skelly, T, Soloway, MG, Tan, D, Veluvolu, U, Davis, IJ, Hepperla, AJ, Brohl, AS, Kasaian, K, Mungall, K, Sadeghi, S, Barthel, FP, Verhaak, R, Hu, X, Chibon, F, Cherniack, AD, Shih, J, Beroukhim, R, Meyerson, M, Cibulskis, C, Gabriel, SB, Saksena, G, Schumacher, SE, Gao, Q, Wyczalkowski, M, Bowlby, R, Robertson, AG, Ally, A, Balasundaram, M, Brooks, D, Carlsen, R, Chuah, E, Dhalla, N, Holt, RA, Jones, SJM, Lee, D, Li, I, Ma, Y, Marra, MA, Mayo, M, Moore, RA, Mungall, AJ, Schein, JE, Sipahimalani, P, Tam, A, Thiessen, N, Wong, T, Danilova, L, Cope, L, Baylin, SB, Bootwalla, MS, Lai, PH, Laird, PW, Maglinte, DT, Van Den Berg, DJ, Weisenberger, DJ, Wrangle, J, Drill, E, Shen, R, Iype, L, Reynolds, SM, Shmulevich, I, Yau, C, Armenia, J, Liu, EM, Benz, C, Pastore, A, Sanchez-Vega, F, Schultz, N, Akbani, R, Hegde, AM, Liu, W, Lu, Y, Mills, GB, Weinstein, JN, Roszik, J, Anur, P, Spellman, P, Abeshouse, A, Chen, H-W, Gao, J, Heins, Z, Kundra, R, Larsson, E, Ochoa, A, Sander, C, Socci, N, Zhang, H, Noble, MS, Heiman, DI, Kim, J, Chin, L, Getz, G, Cho, J, Defreitas, T, Frazer, S, Gehlenborg, N, Lawrence, MS, Lin, P, Meier, S, Voet, D, Byers, L, Diao, L, Gay, CM, Wang, J, Newton, Y, Cooper, LAD, Gutman, DA, Lee, S, Nalisnik, M, Bowen, J, Gastier-Foster, JM, Gerken, M, Helsel, C, Hobensack, S, Leraas, KM, Lichtenberg, TM, Ramirez, NC, Wise, L, Zmuda, E, Anderson, ML, Castro, P, Ittmann, M, Gordienko, E, Paklina, O, Setdikova, G, Raut, CP, Karlan, BY, Lester, J, Belyaev, D, Fulidou, V, Potapova, O, Voronina, O, Demetri, GD, Ramalingam, SS, Behera, M, Delman, K, Owonikoko, TK, Sica, GL, Boyd, J, Magliocco, A, Salner, A, Bennett, J, Iacocca, M, Swanson, P, Dottino, P, Kalir, T, Pereira, E, Akeredolu, T, Crain, D, Curley, E, Gardner, J, Mallery, D, Morris, S, Paulauskis, J, Penny, R, Shelton, C, Shelton, T, Thompson, E, Hoon, DB, Parfitt, J, Birrer, M, Karseladze, A, Mariamidze, A, Dao, F, Levine, DA, Olvera, N, Maki, RG, Bartlett, J, Eschbacher, J, Dubina, M, Mozgovoy, E, Fedosenko, K, Manikhas, G, Sekhon, H, Ramirez, N, Ingram, DR, Torres, KE, DiSaia, P, Godwin, AK, Godwin, EM, Kuo, H, Madan, R, Reilly, C, Adebamowo, C, Adebamowo, SN, Bocklage, T, Higgins, K, Martinez, C, Boice, L, Grilley-Olson, JE, Huang, M, Perou, AH, Thorne, LB, Rathmell, WK, Gutmann, DH, Singer, S, Chudamani, S, Liu, J, Lolla, L, Naresh, R, Pihl, T, Sun, Q, Wan, Y, Wu, Y, Felau, I, Zenklusen, JC, Demchok, JA, Ferguson, ML, Hutter, CM, Sofia, HJ, Tarnuzzer, R, Wang, Z, Yang, L, Zhang, JJ, Demicco, EG, Doyle, LA, Hornick, JL, Rubin, BP, de Rijn, MV, Baker, L, Riedel, RF, Ding, L, Ladanyi, M, Novak, JE, Van Tine, BA, Davis, LE, Grilley-Olsen, JE, Pollock, RE, Jones, KB, Martignetti, JA, Tong, P, and Network, CGAR
- Subjects
0301 basic medicine ,Leiomyosarcoma ,Adult ,Epigenomics ,DNA Copy Number Variations ,Genomics ,Biology ,General Biochemistry, Genetics and Molecular Biology ,Undifferentiated Pleomorphic Sarcoma ,Article ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,medicine ,Cluster Analysis ,Humans ,ATRX ,Aged ,Comparative genomics ,Aged, 80 and over ,Genome, Human ,Sarcoma ,Middle Aged ,medicine.disease ,Synovial sarcoma ,030104 developmental biology ,030220 oncology & carcinogenesis ,Immunology ,DNA methylation ,Mutation ,Cancer research ,Genome-Wide Association Study - Abstract
Summary Sarcomas are a broad family of mesenchymal malignancies exhibiting remarkable histologic diversity. We describe the multi-platform molecular landscape of 206 adult soft tissue sarcomas representing 6 major types. Along with novel insights into the biology of individual sarcoma types, we report three overarching findings: (1) unlike most epithelial malignancies, these sarcomas (excepting synovial sarcoma) are characterized predominantly by copy-number changes, with low mutational loads and only a few genes ( TP53 , ATRX , RB1 ) highly recurrently mutated across sarcoma types; (2) within sarcoma types, genomic and regulomic diversity of driver pathways defines molecular subtypes associated with patient outcome; and (3) the immune microenvironment, inferred from DNA methylation and mRNA profiles, associates with outcome and may inform clinical trials of immune checkpoint inhibitors. Overall, this large-scale analysis reveals previously unappreciated sarcoma-type-specific changes in copy number, methylation, RNA, and protein, providing insights into refining sarcoma therapy and relationships to other cancer types.
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- 2017
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3. Electrical conductivity and dielectric properties of potassium sulfamate single crystals.
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Kumar, A. S., Iype, L., Rajesh, R., Varughese, G., Joseph, G., and Louis, G.
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ELECTRIC conductivity , *DIELECTRIC measurements , *EVAPORATION (Chemistry) , *IMPEDANCE spectroscopy , *ELECTRIC properties , *PHASE transitions - Abstract
Single crystals of potassium sulfamate are grown by the method of slow evaporation at constant temperature. AC electrical conductivity of potassium sulfamate is measured in the temperature range 300-430 K and in the frequency region between 100 Hz and 3 MHz along the a, b and c-axes. Complex impedance spectroscopy is used to investigate the frequency response of the electrical properties of the potassium sulfamate single crystal. Temperature variation of AC conductivity and dielectric measurements show a slope change around 345 K for both heating and cooling run and this anomaly is attributed as phase transition, which is well supported by the DSC measurements. Value of loss tangent in the temperature region 330-400 K is found to be very low. Activation energies for the conduction process are calculated along the a, b and c-axes. (© 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim) [ABSTRACT FROM AUTHOR]
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- 2011
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4. DC conductivity studies in K3NaSeO42single crystals.
- Author
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Joseph, G., Kumar, A. Santhosh, Iype, L., Rajesh, R., and Louis, G.
- Abstract
DC electrical conductivity studies were carried out along the three crystallographic axes for Tripotassium sodium diselenate K3NaSeO42 or KNSe. Earlier studies of phase transition in this crystal show successive phase transitions at 334 K, 346 K, 730 K, and 758 K. In this paper we report the dc electrical conductivity measurements in the temperature region 303 K – 430 K along a, b and c – axes. An anomaly in conductivity was obtained around 341 K and another one around 333 K. These can be attributed as due to phase transitions in this crystal. A strong anomaly also has been observed along the caxis and comparatively week one along a and b axes around 395 K for the first time. This can be due to newly observed phase transition in the crystal. DSC taken for the sample also shows endothermic peak supporting the occurrence of newly observed phase transition. © 2009 WILEYVCH Verlag GmbH & Co. KGaA, Weinheim [ABSTRACT FROM AUTHOR]
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- 2009
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5. Integrative Molecular Characterization of Malignant Pleural Mesothelioma.
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Hmeljak J, Sanchez-Vega F, Hoadley KA, Shih J, Stewart C, Heiman D, Tarpey P, Danilova L, Drill E, Gibb EA, Bowlby R, Kanchi R, Osmanbeyoglu HU, Sekido Y, Takeshita J, Newton Y, Graim K, Gupta M, Gay CM, Diao L, Gibbs DL, Thorsson V, Iype L, Kantheti H, Severson DT, Ravegnini G, Desmeules P, Jungbluth AA, Travis WD, Dacic S, Chirieac LR, Galateau-Sallé F, Fujimoto J, Husain AN, Silveira HC, Rusch VW, Rintoul RC, Pass H, Kindler H, Zauderer MG, Kwiatkowski DJ, Bueno R, Tsao AS, Creaney J, Lichtenberg T, Leraas K, Bowen J, Felau I, Zenklusen JC, Akbani R, Cherniack AD, Byers LA, Noble MS, Fletcher JA, Robertson AG, Shen R, Aburatani H, Robinson BW, Campbell P, and Ladanyi M
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- Aged, Female, Histone-Lysine N-Methyltransferase, Humans, Kaplan-Meier Estimate, Lung Neoplasms pathology, Lung Neoplasms therapy, Male, Mesothelioma pathology, Mesothelioma therapy, Middle Aged, Pleural Neoplasms pathology, Pleural Neoplasms therapy, Prognosis, Protein Methyltransferases genetics, Tumor Suppressor Proteins genetics, Ubiquitin Thiolesterase genetics, Biomarkers, Tumor genetics, Lung Neoplasms genetics, Mesothelioma genetics, Mutation, Pleural Neoplasms genetics
- Abstract
Malignant pleural mesothelioma (MPM) is a highly lethal cancer of the lining of the chest cavity. To expand our understanding of MPM, we conducted a comprehensive integrated genomic study, including the most detailed analysis of BAP1 alterations to date. We identified histology-independent molecular prognostic subsets, and defined a novel genomic subtype with TP53 and SETDB1 mutations and extensive loss of heterozygosity. We also report strong expression of the immune-checkpoint gene VISTA in epithelioid MPM, strikingly higher than in other solid cancers, with implications for the immune response to MPM and for its immunotherapy. Our findings highlight new avenues for further investigation of MPM biology and novel therapeutic options. SIGNIFICANCE: Through a comprehensive integrated genomic study of 74 MPMs, we provide a deeper understanding of histology-independent determinants of aggressive behavior, define a novel genomic subtype with TP53 and SETDB1 mutations and extensive loss of heterozygosity, and discovered strong expression of the immune-checkpoint gene VISTA in epithelioid MPM. See related commentary by Aggarwal and Albelda, p. 1508 . This article is highlighted in the In This Issue feature, p. 1494 ., (©2018 American Association for Cancer Research.)
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- 2018
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6. Integrative Analysis Identifies Four Molecular and Clinical Subsets in Uveal Melanoma.
- Author
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Robertson AG, Shih J, Yau C, Gibb EA, Oba J, Mungall KL, Hess JM, Uzunangelov V, Walter V, Danilova L, Lichtenberg TM, Kucherlapati M, Kimes PK, Tang M, Penson A, Babur O, Akbani R, Bristow CA, Hoadley KA, Iype L, Chang MT, Cherniack AD, Benz C, Mills GB, Verhaak RGW, Griewank KG, Felau I, Zenklusen JC, Gershenwald JE, Schoenfield L, Lazar AJ, Abdel-Rahman MH, Roman-Roman S, Stern MH, Cebulla CM, Williams MD, Jager MJ, Coupland SE, Esmaeli B, Kandoth C, and Woodman SE
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- 2018
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7. Integrative Analysis Identifies Four Molecular and Clinical Subsets in Uveal Melanoma.
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Robertson AG, Shih J, Yau C, Gibb EA, Oba J, Mungall KL, Hess JM, Uzunangelov V, Walter V, Danilova L, Lichtenberg TM, Kucherlapati M, Kimes PK, Tang M, Penson A, Babur O, Akbani R, Bristow CA, Hoadley KA, Iype L, Chang MT, Cherniack AD, Benz C, Mills GB, Verhaak RGW, Griewank KG, Felau I, Zenklusen JC, Gershenwald JE, Schoenfield L, Lazar AJ, Abdel-Rahman MH, Roman-Roman S, Stern MH, Cebulla CM, Williams MD, Jager MJ, Coupland SE, Esmaeli B, Kandoth C, and Woodman SE
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- DNA Copy Number Variations, Eukaryotic Initiation Factor-1 genetics, Humans, Melanoma classification, Monosomy, Phosphoproteins genetics, Prognosis, RNA Splicing Factors genetics, Serine-Arginine Splicing Factors genetics, Tumor Suppressor Proteins genetics, Ubiquitin Thiolesterase genetics, Uveal Neoplasms classification, Uveal Melanoma, Biomarkers, Tumor genetics, DNA Methylation, Gene Expression Regulation, Neoplastic, Melanoma genetics, Mutation, Uveal Neoplasms genetics
- Abstract
Comprehensive multiplatform analysis of 80 uveal melanomas (UM) identifies four molecularly distinct, clinically relevant subtypes: two associated with poor-prognosis monosomy 3 (M3) and two with better-prognosis disomy 3 (D3). We show that BAP1 loss follows M3 occurrence and correlates with a global DNA methylation state that is distinct from D3-UM. Poor-prognosis M3-UM divide into subsets with divergent genomic aberrations, transcriptional features, and clinical outcomes. We report change-of-function SRSF2 mutations. Within D3-UM, EIF1AX- and SRSF2/SF3B1-mutant tumors have distinct somatic copy number alterations and DNA methylation profiles, providing insight into the biology of these low- versus intermediate-risk clinical mutation subtypes., (Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.)
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- 2017
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8. Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas.
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Brat DJ, Verhaak RG, Aldape KD, Yung WK, Salama SR, Cooper LA, Rheinbay E, Miller CR, Vitucci M, Morozova O, Robertson AG, Noushmehr H, Laird PW, Cherniack AD, Akbani R, Huse JT, Ciriello G, Poisson LM, Barnholtz-Sloan JS, Berger MS, Brennan C, Colen RR, Colman H, Flanders AE, Giannini C, Grifford M, Iavarone A, Jain R, Joseph I, Kim J, Kasaian K, Mikkelsen T, Murray BA, O'Neill BP, Pachter L, Parsons DW, Sougnez C, Sulman EP, Vandenberg SR, Van Meir EG, von Deimling A, Zhang H, Crain D, Lau K, Mallery D, Morris S, Paulauskis J, Penny R, Shelton T, Sherman M, Yena P, Black A, Bowen J, Dicostanzo K, Gastier-Foster J, Leraas KM, Lichtenberg TM, Pierson CR, Ramirez NC, Taylor C, Weaver S, Wise L, Zmuda E, Davidsen T, Demchok JA, Eley G, Ferguson ML, Hutter CM, Mills Shaw KR, Ozenberger BA, Sheth M, Sofia HJ, Tarnuzzer R, Wang Z, Yang L, Zenklusen JC, Ayala B, Baboud J, Chudamani S, Jensen MA, Liu J, Pihl T, Raman R, Wan Y, Wu Y, Ally A, Auman JT, Balasundaram M, Balu S, Baylin SB, Beroukhim R, Bootwalla MS, Bowlby R, Bristow CA, Brooks D, Butterfield Y, Carlsen R, Carter S, Chin L, Chu A, Chuah E, Cibulskis K, Clarke A, Coetzee SG, Dhalla N, Fennell T, Fisher S, Gabriel S, Getz G, Gibbs R, Guin R, Hadjipanayis A, Hayes DN, Hinoue T, Hoadley K, Holt RA, Hoyle AP, Jefferys SR, Jones S, Jones CD, Kucherlapati R, Lai PH, Lander E, Lee S, Lichtenstein L, Ma Y, Maglinte DT, Mahadeshwar HS, Marra MA, Mayo M, Meng S, Meyerson ML, Mieczkowski PA, Moore RA, Mose LE, Mungall AJ, Pantazi A, Parfenov M, Park PJ, Parker JS, Perou CM, Protopopov A, Ren X, Roach J, Sabedot TS, Schein J, Schumacher SE, Seidman JG, Seth S, Shen H, Simons JV, Sipahimalani P, Soloway MG, Song X, Sun H, Tabak B, Tam A, Tan D, Tang J, Thiessen N, Triche T Jr, Van Den Berg DJ, Veluvolu U, Waring S, Weisenberger DJ, Wilkerson MD, Wong T, Wu J, Xi L, Xu AW, Yang L, Zack TI, Zhang J, Aksoy BA, Arachchi H, Benz C, Bernard B, Carlin D, Cho J, DiCara D, Frazer S, Fuller GN, Gao J, Gehlenborg N, Haussler D, Heiman DI, Iype L, Jacobsen A, Ju Z, Katzman S, Kim H, Knijnenburg T, Kreisberg RB, Lawrence MS, Lee W, Leinonen K, Lin P, Ling S, Liu W, Liu Y, Liu Y, Lu Y, Mills G, Ng S, Noble MS, Paull E, Rao A, Reynolds S, Saksena G, Sanborn Z, Sander C, Schultz N, Senbabaoglu Y, Shen R, Shmulevich I, Sinha R, Stuart J, Sumer SO, Sun Y, Tasman N, Taylor BS, Voet D, Weinhold N, Weinstein JN, Yang D, Yoshihara K, Zheng S, Zhang W, Zou L, Abel T, Sadeghi S, Cohen ML, Eschbacher J, Hattab EM, Raghunathan A, Schniederjan MJ, Aziz D, Barnett G, Barrett W, Bigner DD, Boice L, Brewer C, Calatozzolo C, Campos B, Carlotti CG Jr, Chan TA, Cuppini L, Curley E, Cuzzubbo S, Devine K, DiMeco F, Duell R, Elder JB, Fehrenbach A, Finocchiaro G, Friedman W, Fulop J, Gardner J, Hermes B, Herold-Mende C, Jungk C, Kendler A, Lehman NL, Lipp E, Liu O, Mandt R, McGraw M, Mclendon R, McPherson C, Neder L, Nguyen P, Noss A, Nunziata R, Ostrom QT, Palmer C, Perin A, Pollo B, Potapov A, Potapova O, Rathmell WK, Rotin D, Scarpace L, Schilero C, Senecal K, Shimmel K, Shurkhay V, Sifri S, Singh R, Sloan AE, Smolenski K, Staugaitis SM, Steele R, Thorne L, Tirapelli DP, Unterberg A, Vallurupalli M, Wang Y, Warnick R, Williams F, Wolinsky Y, Bell S, Rosenberg M, Stewart C, Huang F, Grimsby JL, Radenbaugh AJ, and Zhang J
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- Adolescent, Adult, Aged, Chromosomes, Human, Pair 1, Chromosomes, Human, Pair 19, Cluster Analysis, Female, Glioblastoma genetics, Glioma metabolism, Glioma mortality, Humans, Kaplan-Meier Estimate, Male, Middle Aged, Neoplasm Grading, Proportional Hazards Models, Sequence Analysis, DNA, Signal Transduction, DNA, Neoplasm analysis, Genes, p53, Glioma genetics, Mutation
- Abstract
Background: Diffuse low-grade and intermediate-grade gliomas (which together make up the lower-grade gliomas, World Health Organization grades II and III) have highly variable clinical behavior that is not adequately predicted on the basis of histologic class. Some are indolent; others quickly progress to glioblastoma. The uncertainty is compounded by interobserver variability in histologic diagnosis. Mutations in IDH, TP53, and ATRX and codeletion of chromosome arms 1p and 19q (1p/19q codeletion) have been implicated as clinically relevant markers of lower-grade gliomas., Methods: We performed genomewide analyses of 293 lower-grade gliomas from adults, incorporating exome sequence, DNA copy number, DNA methylation, messenger RNA expression, microRNA expression, and targeted protein expression. These data were integrated and tested for correlation with clinical outcomes., Results: Unsupervised clustering of mutations and data from RNA, DNA-copy-number, and DNA-methylation platforms uncovered concordant classification of three robust, nonoverlapping, prognostically significant subtypes of lower-grade glioma that were captured more accurately by IDH, 1p/19q, and TP53 status than by histologic class. Patients who had lower-grade gliomas with an IDH mutation and 1p/19q codeletion had the most favorable clinical outcomes. Their gliomas harbored mutations in CIC, FUBP1, NOTCH1, and the TERT promoter. Nearly all lower-grade gliomas with IDH mutations and no 1p/19q codeletion had mutations in TP53 (94%) and ATRX inactivation (86%). The large majority of lower-grade gliomas without an IDH mutation had genomic aberrations and clinical behavior strikingly similar to those found in primary glioblastoma., Conclusions: The integration of genomewide data from multiple platforms delineated three molecular classes of lower-grade gliomas that were more concordant with IDH, 1p/19q, and TP53 status than with histologic class. Lower-grade gliomas with an IDH mutation either had 1p/19q codeletion or carried a TP53 mutation. Most lower-grade gliomas without an IDH mutation were molecularly and clinically similar to glioblastoma. (Funded by the National Institutes of Health.).
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- 2015
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9. The nucleic acid database.
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Berman HM, Westbrook J, Feng Z, Iype L, Schneider B, and Zardecki C
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- Computational Biology, Data Display, Electronic Data Processing, History, 20th Century, History, 21st Century, Models, Molecular, Molecular Structure, Nucleic Acid Conformation, Nucleic Acids chemistry, Databases, Nucleic Acid history, Databases, Nucleic Acid trends
- Published
- 2003
10. The Nucleic Acid Database.
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Berman HM, Westbrook J, Feng Z, Iype L, Schneider B, and Zardecki C
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- Computer Graphics, Information Storage and Retrieval, Internet, User-Computer Interface, Databases, Nucleic Acid standards
- Abstract
The Nucleic Acid Database was established in 1991 as a resource to assemble and distribute structural information about nucleic acids. Over the years, the NDB has developed generalized software for processing, archiving, querying and distributing structural data for nucleic acid-containing structures. The architecture and capabilities of the Nucleic Acid Database, as well as some of the research enabled by this resource, are presented in this article.
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- 2002
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11. The Protein Data Bank.
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Berman HM, Battistuz T, Bhat TN, Bluhm WF, Bourne PE, Burkhardt K, Feng Z, Gilliland GL, Iype L, Jain S, Fagan P, Marvin J, Padilla D, Ravichandran V, Schneider B, Thanki N, Weissig H, Westbrook JD, and Zardecki C
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- Information Storage and Retrieval, Internet, Databases, Protein standards
- Abstract
The Protein Data Bank [PDB; Berman, Westbrook et al. (2000), Nucleic Acids Res. 28, 235-242; http://www.pdb.org/] is the single worldwide archive of primary structural data of biological macromolecules. Many secondary sources of information are derived from PDB data. It is the starting point for studies in structural bioinformatics. This article describes the goals of the PDB, the systems in place for data deposition and access, how to obtain further information and plans for the future development of the resource. The reader should come away with an understanding of the scope of the PDB and what is provided by the resource.
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- 2002
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12. Crystal structure of a Flp recombinase-Holliday junction complex: assembly of an active oligomer by helix swapping.
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Chen Y, Narendra U, Iype LE, Cox MM, and Rice PA
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- Amino Acid Sequence, Base Sequence, Binding Sites, Crystallography, X-Ray, Models, Genetic, Models, Molecular, Molecular Sequence Data, Nucleic Acid Conformation, Oligodeoxyribonucleotides chemistry, Protein Conformation, Protein Structure, Secondary, DNA chemistry, DNA metabolism, DNA Nucleotidyltransferases chemistry, DNA Nucleotidyltransferases metabolism, Recombination, Genetic
- Abstract
The crystal structure of a Flp recombinase tetramer bound to a Holliday junction intermediate has been determined at 2.65 A resolution. Only one of Flp's two domains, containing the active site, is structurally related to other lambda integrase family site-specific recombinases, such as Cre. The Flp active site differs, however, in that the helix containing the nucleophilic tyrosine is domain swapped, such that it cuts its DNA target in trans. The Flp tetramer displays pseudo four-fold symmetry matching that of the square planar Holliday junction substrate. This tetramer is stabilized by additional novel trans interactions among monomers. The structure illustrates how mechanistic unity is maintained on a chemical level while allowing for substantial variation on the structural level within a family of enzymes.
- Published
- 2000
13. Establishment and characterization of immortalized human cell lines from prostatic carcinoma and benign prostatic hyperplasia.
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Iype PT, Iype LE, Verma M, and Kaighn ME
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- Cell Culture Techniques methods, DNA, Neoplasm genetics, Genes, p53 genetics, Humans, Karyotyping, Male, Prostatic Hyperplasia genetics, Prostatic Neoplasms genetics, Reverse Transcriptase Polymerase Chain Reaction, Prostatic Hyperplasia pathology, Prostatic Neoplasms pathology, Tumor Cells, Cultured cytology
- Abstract
New human prostate cell lines were developed from prostatic carcinoma (BRF-41T) and BPH (BRF-55T). Primary cultures were initiated from cellular outgrowths of explanted tissues. A serum-free medium, BRFF-HPC1, was developed for growing human prostatic cancer cells. Cell strains were immortalized with pRSV-T plasmid to generate permanent cell lines that exhibited an epithelial morphology. Both cell lines expressed the epithelial cell markers, cytokeratins 8 and 18 as well as the prostatic marker, PSA, and the androgen receptor gene. They possess the H-ras, K-ras, and p53 genes. We hope that these new human prostatic cell lines will be useful as in vitro models for cancer research.
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- 1998
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14. Blocked RecA protein-mediated DNA strand exchange reactions are reversed by the RuvA and RuvB proteins.
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Iype LE, Inman RB, and Cox MM
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- DNA, Viral ultrastructure, Escherichia coli metabolism, Escherichia coli Proteins, Kinetics, Microscopy, Electron, Protein Binding, Bacterial Proteins metabolism, DNA Helicases, DNA, Viral metabolism, DNA-Binding Proteins metabolism, Rec A Recombinases metabolism
- Abstract
RecA protein is unable to complete a DNA strand exchange reaction between a circular single-stranded DNA and a linear duplex DNA substrate with heterologous sequences of 375 base pairs at the distal end. Instead, it generates a branched intermediate in which strand exchange has proceeded up to the homology/heterology junction. Addition of the RuvA and RuvB proteins to these stalled intermediates leads to the rapid conversion of intermediates back to the original substrates. The reversal reaction is initiated at the branch, and the hybrid DNA is unwound in the direction opposite to that of the RecA reaction that created it. Under optimal conditions the rate of the reaction exhibits only a modest dependence on the length of hybrid DNA that must be unwound. Products of the reversal reaction are detected within minutes after addition of RuvAB, and appear with an apparent first order progress curve, exhibiting a t1/2 in the range of 6-12 min under optimal conditions. Few molecules that have undergone only partial reversal are detected. This suggests that the assembly or activation of RuvAB on the branched substrate is rate-limiting, while any migration of RuvAB on the DNA to effect unwinding of the hybrid DNA (and reformation of substrate DNA) is very fast. The results are discussed in context of the role of RuvA and RuvB proteins in recombinational DNA repair. We suggest that one function of the RuvAB proteins is to act as an antirecombinase, to eliminate intragenomic crossovers between homologous segments of the bacterial chromosome that might otherwise lead to deleterious inversions or deletions.
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- 1995
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15. RuvA and RuvB proteins facilitate the bypass of heterologous DNA insertions during RecA protein-mediated DNA strand exchange.
- Author
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Iype LE, Wood EA, Inman RB, and Cox MM
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- Adenosine Triphosphate metabolism, Base Sequence, DNA metabolism, DNA Helicases physiology, Escherichia coli Proteins, Microscopy, Electron, Molecular Sequence Data, Bacterial Proteins physiology, DNA Repair, DNA-Binding Proteins physiology, Rec A Recombinases metabolism, Recombination, Genetic
- Abstract
RecA protein-mediated DNA strand exchange between circular single-stranded DNA and linear duplex DNA readily bypasses short (up to 100 base pairs) heterologous inserts in one of the DNA substrates. Larger heterologous inserts are bypassed with decreasing efficiency, and inserts larger than 200 base pairs substantially block RecA-mediated DNA strand exchange. The RuvA and RuvB proteins dramatically facilitate the bypass of larger heterologous inserts. When the RuvA and RuvB proteins are added to an ongoing RecA protein-mediated strand exchange reaction, interior heterologous inserts of 1 kilobase pair are bypassed at significant frequencies. The RuvA, RuvB, and RecA proteins are all required for this activity. Bypass occurs only when homologous sequences are present on both sides of the insert. When the heterologous insert is positioned at either end of the linear duplex substrate, the RuvA and RuvB proteins do not significantly increase product formation in RecA protein-mediated DNA strand exchange reactions. The results suggest an important role for RuvA and RuvB in the bypass of DNA structural barriers during recombinational DNA repair.
- Published
- 1994
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