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Guo J, Ji Y, Ding Y, Jiang W, Sun Y, Lu B, Nagappan G. BDNF pro-peptide regulates dendritic spines via caspase-3. Cell Death Dis 2016; 7:e2264. [PMID: 27310873 PMCID: PMC5143394 DOI: 10.1038/cddis.2016.166] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2015] [Revised: 04/11/2016] [Accepted: 05/05/2016] [Indexed: 01/18/2023]
Abstract
The precursor of brain-derived neurotrophic factor (BDNF) (proBDNF) is enzymatically cleaved, by either intracellular (furin/PC1) or extracellular proteases (tPA/plasmin/MMP), to generate mature BDNF (mBDNF) and its pro-peptide (BDNF pro-peptide). Little is known about the function of BDNF pro-peptide. We have developed an antibody that specifically detects cleaved BDNF pro-peptide, but not proBDNF or mBDNF. Neuronal depolarization elicited a marked increase in extracellular BDNF pro-peptide, suggesting activity-dependent regulation of its extracellular levels. Exposure of BDNF pro-peptide to mature hippocampal neurons in culture dramatically reduced dendritic spine density. This effect was mediated by caspase-3, as revealed by studies with pharmacological inhibitors and genetic knockdown. BDNF pro-peptide also increased the number of ‘elongated' mitochondria and cytosolic cytochrome c, suggesting the involvement of mitochondrial-caspase-3 pathway. These results, along with BDNF pro-peptide effects recently reported on growth cones and long-term depression (LTD), suggest that BDNF pro-peptide is a negative regulator of neuronal structure and function.
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Song C, Pan X, Ge Z, Gowda C, Ding Y, Li H, Li Z, Yochum G, Muschen M, Li Q, Payne KJ, Dovat S. Epigenetic regulation of gene expression by Ikaros, HDAC1 and Casein Kinase II in leukemia. Leukemia 2016; 30:1436-40. [PMID: 26639180 PMCID: PMC4889471 DOI: 10.1038/leu.2015.331] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Ding Y, Mohamed A, Ma J, Frank S, Wang J, Fuller C. SU-G-IeP1-05: Diffusion Kurtosis Imaging for Oropharyngeal Cancer Detection. Med Phys 2016. [DOI: 10.1118/1.4956965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Wang J, Yung J, Kadbi M, Ding Y, Fuller C, Ibbott G. SU-F-J-143: Initial Assessment of Image Quality of An Integrated MR-Linac System with ACR Phantom. Med Phys 2016. [DOI: 10.1118/1.4956051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Ger R, Awan M, Mohamed A, Ding Y, Frank S, Howell R, Li H, Liu H, Mohan R, Schellingerhout D, Stafford R, Wang J, Fuller C, Court L. WE-FG-202-12: Investigation of Longitudinal Salivary Gland DCE-MRI Changes. Med Phys 2016. [DOI: 10.1118/1.4957924] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Srivastava AK, Wang Y, Huang R, Skinner C, Thompson T, Pollard L, Wood T, Luo F, Stevenson R, Polimanti R, Gelernter J, Lin X, Lim IY, Wu Y, Teh AL, Chen L, Aris IM, Soh SE, Tint MT, MacIsaac JL, Yap F, Kwek K, Saw SM, Kobor MS, Meaney MJ, Godfrey KM, Chong YS, Holbrook JD, Lee YS, Gluckman PD, Karnani N, Kapoor A, Lee D, Chakravarti A, Maercker C, Graf F, Boutros M, Stamoulis G, Santoni F, Makrythanasis P, Letourneau A, Guipponi M, Panousis N, Garieri M, Ribaux P, Falconnet E, Borel C, Antonarakis SE, Kumar S, Curran J, Blangero J, Chatterjee S, Kapoor A, Akiyama J, Auer D, Berrios C, Pennacchio L, Chakravarti A, Donti TR, Cappuccio G, Miller M, Atwal P, Kennedy A, Cardon A, Bacino C, Emrick L, Hertecant J, Baumer F, Porter B, Bainbridge M, Bonnen P, Graham B, Sutton R, Sun Q, Elsea S, Hu Z, Wang P, Zhu Y, Zhao J, Xiong M, Bennett DA, Hidalgo-Miranda A, Romero-Cordoba S, Rodriguez-Cuevas S, Rebollar-Vega R, Tagliabue E, Iorio M, D’Ippolito E, Baroni S, Kaczkowski B, Tanaka Y, Kawaji H, Sandelin A, Andersson R, Itoh M, Lassmann T, Hayashizaki Y, Carninci P, Forrest ARR, Semple CA, Rosenthal EA, Shirts B, Amendola L, Gallego C, Horike-Pyne M, Burt A, Robertson P, Beyers P, Nefcy C, Veenstra D, Hisama F, Bennett R, Dorschner M, Nickerson D, Smith J, Patterson K, Crosslin D, Nassir R, Zubair N, Harrison T, Peters U, Jarvik G, Menghi F, Inaki K, Woo X, Kumar P, Grzeda K, Malhotra A, Kim H, Ucar D, Shreckengast P, Karuturi K, Keck J, Chuang J, Liu ET, Ji B, Tyler A, Ananda G, Carter G, Nikbakht H, Montagne M, Zeinieh M, Harutyunyan A, Mcconechy M, Jabado N, Lavigne P, Majewski J, Goldstein JB, Overman M, Varadhachary G, Shroff R, Wolff R, Javle M, Futreal A, Fogelman D, Bravo L, Fajardo W, Gomez H, Castaneda C, Rolfo C, Pinto JA, Akdemir KC, Chin L, Futreal A, Patterson S, Statz C, Mockus S, Nikolaev SN, Bonilla XI, Parmentier L, King B, Bezrukov F, Kaya G, Zoete V, Seplyarskiy V, Sharpe H, McKee T, Letourneau A, Ribaux P, Popadin K, Basset-Seguin N, Chaabene RB, Santoni F, Andrianova M, Guipponi M, Garieri M, Verdan C, Grosdemange K, Sumara O, Eilers M, Aifantis I, Michielin O, de Sauvage F, Antonarakis S, Likhitrattanapisal S, Lincoln S, Kurian A, Desmond A, Yang S, Kobayashi Y, Ford J, Ellisen L, Peters TL, Alvarez KR, Hollingsworth EF, Lopez-Terrada DH, Hastie A, Dzakula Z, Pang AW, Lam ET, Anantharaman T, Saghbini M, Cao H, Gonzaga-Jauregui C, Ma L, King A, Rosenzweig EB, Krishnan U, Reid JG, Overton JD, Dewey F, Chung WK, Small K, DeLuca A, Cremers F, Lewis RA, Puech V, Bakall B, Silva-Garcia R, Rohrschneider K, Leys M, Shaya FS, Stone E, Sobreira NL, Schiettecatte F, Ling H, Pugh E, Witmer D, Hetrick K, Zhang P, Doheny K, Valle D, Hamosh A, Jhangiani SN, Akdemir ZC, Bainbridge MN, Charng W, Wiszniewski W, Gambin T, Karaca E, Bayram Y, Eldomery MK, Posey J, Doddapaneni H, Hu J, Sutton VR, Muzny DM, Boerwinkle EA, Valle D, Lupski JR, Gibbs RA, Shekar S, Salerno W, English A, Mangubat A, Bruestle J, Thorogood A, Knoppers BM, Takahashi H, Nitta KR, Kozhuharova A, Suzuki AM, Sharma H, Cotella D, Santoro C, Zucchelli S, Gustincich S, Carninci P, Mulvihill JJ, Baynam G, Gahl W, Groft SC, Kosaki K, Lasko P, Melegh B, Taruscio D, Ghosh R, Plon S, Scherer S, Qin X, Sanghvi R, Walker K, Chiang T, Muzny D, Wang L, Black J, Boerwinkle E, Weinshilboum R, Gibbs R, Karpinets T, Calderone T, Wani K, Yu X, Creasy C, Haymaker C, Forget M, Nanda V, Roszik J, Wargo J, Haydu L, Song X, Lazar A, Gershenwald J, Davies M, Bernatchez C, Zhang J, Futreal A, Woodman S, Chesler EJ, Reynolds T, Bubier JA, Phillips C, Langston MA, Baker EJ, Xiong M, Ma L, Lin N, Amos C, Lin N, Wang P, Zhu Y, Zhao J, Calhoun V, Xiong M, Dobretsberger O, Egger M, Leimgruber F, Sadedin S, Oshlack A, Antonio VAA, Ono N, Ahmed Z, Bolisetty M, Zeeshan S, Anguiano E, Ucar D, Sarkar A, Nandineni MR, Zeng C, Shao J, Cao H, Hastie A, Pang AW, Lam ET, Liang T, Pham K, Saghbini M, Dzakula Z, Chee-Wei Y, Dongsheng L, Lai-Ping W, Lian D, Hee ROT, Yunus Y, Aghakhanian F, Mokhtar SS, Lok-Yung CV, Bhak J, Phipps M, Shuhua X, Yik-Ying T, Kumar V, Boon-Peng H, Campbell I, Young MA, James P, Rain M, Mohammad G, Kukreti R, Pasha Q, Akilzhanova AR, Guelly C, Abilova Z, Rakhimova S, Akhmetova A, Kairov U, Trajanoski S, Zhumadilov Z, Bekbossynova M, Schumacher C, Sandhu S, Harkins T, Makarov V, Doddapaneni H, Glenn R, Momin Z, Dilrukshi B, Chao H, Meng Q, Gudenkauf B, Kshitij R, Jayaseelan J, Nessner C, Lee S, Blankenberg K, Lewis L, Hu J, Han Y, Dinh H, Jireh S, Walker K, Boerwinkle E, Muzny D, Gibbs R, Hu J, Walker K, Buhay C, Liu X, Wang Q, Sanghvi R, Doddapaneni H, Ding Y, Veeraraghavan N, Yang Y, Boerwinkle E, Beaudet AL, Eng CM, Muzny DM, Gibbs RA, Worley KCC, Liu Y, Hughes DST, Murali SC, Harris RA, English AC, Qin X, Hampton OA, Larsen P, Beck C, Han Y, Wang M, Doddapaneni H, Kovar CL, Salerno WJ, Yoder A, Richards S, Rogers J, Lupski JR, Muzny DM, Gibbs RA, Meng Q, Bainbridge M, Wang M, Doddapaneni H, Han Y, Muzny D, Gibbs R, Harris RA, Raveenedran M, Xue C, Dahdouli M, Cox L, Fan G, Ferguson B, Hovarth J, Johnson Z, Kanthaswamy S, Kubisch M, Platt M, Smith D, Vallender E, Wiseman R, Liu X, Below J, Muzny D, Gibbs R, Yu F, Rogers J, Lin J, Zhang Y, Ouyang Z, Moore A, Wang Z, Hofmann J, Purdue M, Stolzenberg-Solomon R, Weinstein S, Albanes D, Liu CS, Cheng WL, Lin TT, Lan Q, Rothman N, Berndt S, Chen ES, Bahrami H, Khoshzaban A, Keshal SH, Bahrami H, Khoshzaban A, Keshal SH, Alharbi KKR, Zhalbinova M, Akilzhanova A, Rakhimova S, Bekbosynova M, Myrzakhmetova S, Matar M, Mili N, Molinari R, Ma Y, Guerrier S, Elhawary N, Tayeb M, Bogari N, Qotb N, McClymont SA, Hook PW, Goff LA, McCallion A, Kong Y, Charette JR, Hicks WL, Naggert JK, Zhao L, Nishina PM, Edrees BM, Athar M, Al-Allaf FA, Taher MM, Khan W, Bouazzaoui A, Harbi NA, Safar R, Al-Edressi H, Anazi A, Altayeb N, Ahmed MA, Alansary K, Abduljaleel Z, Kratz A, Beguin P, Poulain S, Kaneko M, Takahiko C, Matsunaga A, Kato S, Suzuki AM, Bertin N, Lassmann T, Vigot R, Carninci P, Plessy C, Launey T, Graur D, Lee D, Kapoor A, Chakravarti A, Friis-Nielsen J, Izarzugaza JM, Brunak S, Chakraborty A, Basak J, Mukhopadhyay A, Soibam BS, Das D, Biswas N, Das S, Sarkar S, Maitra A, Panda C, Majumder P, Morsy H, Gaballah A, Samir M, Shamseya M, Mahrous H, Ghazal A, Arafat W, Hashish M, Gruber JJ, Jaeger N, Snyder M, Patel K, Bowman S, Davis T, Kraushaar D, Emerman A, Russello S, Henig N, Hendrickson C, Zhang K, Rodriguez-Dorantes M, Cruz-Hernandez CD, Garcia-Tobilla CDP, Solorzano-Rosales S, Jäger N, Chen J, Haile R, Hitchins M, Brooks JD, Snyder M, Jiménez-Morales S, Ramírez M, Nuñez J, Bekker V, Leal Y, Jiménez E, Medina A, Hidalgo A, Mejía J, Halytskiy V, Naggert J, Collin GB, DeMauro K, Hanusek R, Nishina PM, Belhassa K, Belhassan K, Bouguenouch L, Samri I, Sayel H, moufid FZ, El Bouchikhi I, Trhanint S, Hamdaoui H, Elotmani I, Khtiri I, Kettani O, Quibibo L, Ahagoud M, Abbassi M, Ouldim K, Marusin AV, Kornetov AN, Swarovskaya M, Vagaiceva K, Stepanov V, De La Paz EMC, Sy R, Nevado J, Reganit P, Santos L, Magno JD, Punzalan FE, Ona D, Llanes E, Santos-Cortes RL, Tiongco R, Aherrera J, Abrahan L, Pagauitan-Alan P, Morelli KH, Domire JS, Pyne N, Harper S, Burgess R, Zhalbinova M, Akilzhanova A, Rakhimova S, Bekbosynova M, Myrzakhmetova S, Gari MA, Dallol A, Alsehli H, Gari A, Gari M, Abuzenadah A, Thomas M, Sukhai M, Garg S, Misyura M, Zhang T, Schuh A, Stockley T, Kamel-Reid S, Sherry S, Xiao C, Slotta D, Rodarmer K, Feolo M, Kimelman M, Godynskiy G, O’Sullivan C, Yaschenko E, Xiao C, Yaschenko E, Sherry S, Rangel-Escareño C, Rueda-Zarate H, Tayubi IA, Mohammed R, Ahmed I, Ahmed T, Seth S, Amin S, Song X, Mao X, Sun H, Verhaak RG, Futreal A, Zhang J, Whiite SJ, Chiang T, English A, Farek J, Kahn Z, Salerno W, Veeraraghavan N, Boerwinkle E, Gibbs R, Kasukawa T, Lizio M, Harshbarger J, Hisashi S, Severin J, Imad A, Sahin S, Freeman TC, Baillie K, Sandelin A, Carninci P, Forrest ARR, Kawaji H, Salerno W, English A, Shekar SN, Mangubat A, Bruestle J, Boerwinkle E, Gibbs RA, Salem AH, Ali M, Ibrahim A, Ibrahim M, Barrera HA, Garza L, Torres JA, Barajas V, Ulloa-Aguirre A, Kershenobich D, Mortaji S, Guizar P, Loera E, Moreno K, De León A, Monsiváis D, Gómez J, Cardiel R, Fernandez-Lopez JC, Bonifaz-Peña V, Rangel-Escareño C, Hidalgo-Miranda A, Contreras AV, Polfus L, Wang X, Philip V, Carter G, Abuzenadah AA, Gari M, Turki R, Dallol A, Uyar A, Kaygun A, Zaman S, Marquez E, George J, Ucar D, Hendrickson CL, Emerman A, Kraushaar D, Bowman S, Henig N, Davis T, Russello S, Patel K, Starr DB, Baird M, Kirkpatrick B, Sheets K, Nitsche R, Prieto-Lafuente L, Landrum M, Lee J, Rubinstein W, Maglott D, Thavanati PKR, de Dios AE, Hernandez REN, Aldrate MEA, Mejia MRR, Kanala KRR, Abduljaleel Z, Khan W, Al-Allaf FA, Athar M, Taher MM, Shahzad N, Bouazzaoui A, Huber E, Dan A, Al-Allaf FA, Herr W, Sprotte G, Köstler J, Hiergeist A, Gessner A, Andreesen R, Holler E, Al-Allaf F, Alashwal A, Abduljaleel Z, Taher M, Bouazzaoui A, Abalkhail H, Al-Allaf A, Bamardadh R, Athar M, Filiptsova O, Kobets M, Kobets Y, Burlaka I, Timoshyna I, Filiptsova O, Kobets MN, Kobets Y, Burlaka I, Timoshyna I, Filiptsova O, Kobets MN, Kobets Y, Burlaka I, Timoshyna I, Al-allaf FA, Mohiuddin MT, Zainularifeen A, Mohammed A, Abalkhail H, Owaidah T, Bouazzaoui A. Human genome meeting 2016 : Houston, TX, USA. 28 February - 2 March 2016. Hum Genomics 2016; 10 Suppl 1:12. [PMID: 27294413 PMCID: PMC4896275 DOI: 10.1186/s40246-016-0063-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
O1 The metabolomics approach to autism: identification of biomarkers for early detection of autism spectrum disorder A. K. Srivastava, Y. Wang, R. Huang, C. Skinner, T. Thompson, L. Pollard, T. Wood, F. Luo, R. Stevenson O2 Phenome-wide association study for smoking- and drinking-associated genes in 26,394 American women with African, Asian, European, and Hispanic descents R. Polimanti, J. Gelernter O3 Effects of prenatal environment, genotype and DNA methylation on birth weight and subsequent postnatal outcomes: findings from GUSTO, an Asian birth cohort X. Lin, I. Y. Lim, Y. Wu, A. L. Teh, L. Chen, I. M. Aris, S. E. Soh, M. T. Tint, J. L. MacIsaac, F. Yap, K. Kwek, S. M. Saw, M. S. Kobor, M. J. Meaney, K. M. Godfrey, Y. S. Chong, J. D. Holbrook, Y. S. Lee, P. D. Gluckman, N. Karnani, GUSTO study group O4 High-throughput identification of specific qt interval modulating enhancers at the SCN5A locus A. Kapoor, D. Lee, A. Chakravarti O5 Identification of extracellular matrix components inducing cancer cell migration in the supernatant of cultivated mesenchymal stem cells C. Maercker, F. Graf, M. Boutros O6 Single cell allele specific expression (ASE) IN T21 and common trisomies: a novel approach to understand DOWN syndrome and other aneuploidies G. Stamoulis, F. Santoni, P. Makrythanasis, A. Letourneau, M. Guipponi, N. Panousis, M. Garieri, P. Ribaux, E. Falconnet, C. Borel, S. E. Antonarakis O7 Role of microRNA in LCL to IPSC reprogramming S. Kumar, J. Curran, J. Blangero O8 Multiple enhancer variants disrupt gene regulatory network in Hirschsprung disease S. Chatterjee, A. Kapoor, J. Akiyama, D. Auer, C. Berrios, L. Pennacchio, A. Chakravarti O9 Metabolomic profiling for the diagnosis of neurometabolic disorders T. R. Donti, G. Cappuccio, M. Miller, P. Atwal, A. Kennedy, A. Cardon, C. Bacino, L. Emrick, J. Hertecant, F. Baumer, B. Porter, M. Bainbridge, P. Bonnen, B. Graham, R. Sutton, Q. Sun, S. Elsea O10 A novel causal methylation network approach to Alzheimer’s disease Z. Hu, P. Wang, Y. Zhu, J. Zhao, M. Xiong, David A Bennett O11 A microRNA signature identifies subtypes of triple-negative breast cancer and reveals MIR-342-3P as regulator of a lactate metabolic pathway A. Hidalgo-Miranda, S. Romero-Cordoba, S. Rodriguez-Cuevas, R. Rebollar-Vega, E. Tagliabue, M. Iorio, E. D’Ippolito, S. Baroni O12 Transcriptome analysis identifies genes, enhancer RNAs and repetitive elements that are recurrently deregulated across multiple cancer types B. Kaczkowski, Y. Tanaka, H. Kawaji, A. Sandelin, R. Andersson, M. Itoh, T. Lassmann, the FANTOM5 consortium, Y. Hayashizaki, P. Carninci, A. R. R. Forrest O13 Elevated mutation and widespread loss of constraint at regulatory and architectural binding sites across 11 tumour types C. A. Semple O14 Exome sequencing provides evidence of pathogenicity for genes implicated in colorectal cancer E. A. Rosenthal, B. Shirts, L. Amendola, C. Gallego, M. Horike-Pyne, A. Burt, P. Robertson, P. Beyers, C. Nefcy, D. Veenstra, F. Hisama, R. Bennett, M. Dorschner, D. Nickerson, J. Smith, K. Patterson, D. Crosslin, R. Nassir, N. Zubair, T. Harrison, U. Peters, G. Jarvik, NHLBI GO Exome Sequencing Project O15 The tandem duplicator phenotype as a distinct genomic configuration in cancer F. Menghi, K. Inaki, X. Woo, P. Kumar, K. Grzeda, A. Malhotra, H. Kim, D. Ucar, P. Shreckengast, K. Karuturi, J. Keck, J. Chuang, E. T. Liu O16 Modeling genetic interactions associated with molecular subtypes of breast cancer B. Ji, A. Tyler, G. Ananda, G. Carter O17 Recurrent somatic mutation in the MYC associated factor X in brain tumors H. Nikbakht, M. Montagne, M. Zeinieh, A. Harutyunyan, M. Mcconechy, N. Jabado, P. Lavigne, J. Majewski O18 Predictive biomarkers to metastatic pancreatic cancer treatment J. B. Goldstein, M. Overman, G. Varadhachary, R. Shroff, R. Wolff, M. Javle, A. Futreal, D. Fogelman O19 DDIT4 gene expression as a prognostic marker in several malignant tumors L. Bravo, W. Fajardo, H. Gomez, C. Castaneda, C. Rolfo, J. A. Pinto O20 Spatial organization of the genome and genomic alterations in human cancers K. C. Akdemir, L. Chin, A. Futreal, ICGC PCAWG Structural Alterations Group O21 Landscape of targeted therapies in solid tumors S. Patterson, C. Statz, S. Mockus O22 Genomic analysis reveals novel drivers and progression pathways in skin basal cell carcinoma S. N. Nikolaev, X. I. Bonilla, L. Parmentier, B. King, F. Bezrukov, G. Kaya, V. Zoete, V. Seplyarskiy, H. Sharpe, T. McKee, A. Letourneau, P. Ribaux, K. Popadin, N. Basset-Seguin, R. Ben Chaabene, F. Santoni, M. Andrianova, M. Guipponi, M. Garieri, C. Verdan, K. Grosdemange, O. Sumara, M. Eilers, I. Aifantis, O. Michielin, F. de Sauvage, S. Antonarakis O23 Identification of differential biomarkers of hepatocellular carcinoma and cholangiocarcinoma via transcriptome microarray meta-analysis S. Likhitrattanapisal O24 Clinical validity and actionability of multigene tests for hereditary cancers in a large multi-center study S. Lincoln, A. Kurian, A. Desmond, S. Yang, Y. Kobayashi, J. Ford, L. Ellisen O25 Correlation with tumor ploidy status is essential for correct determination of genome-wide copy number changes by SNP array T. L. Peters, K. R. Alvarez, E. F. Hollingsworth, D. H. Lopez-Terrada O26 Nanochannel based next-generation mapping for interrogation of clinically relevant structural variation A. Hastie, Z. Dzakula, A. W. Pang, E. T. Lam, T. Anantharaman, M. Saghbini, H. Cao, BioNano Genomics O27 Mutation spectrum in a pulmonary arterial hypertension (PAH) cohort and identification of associated truncating mutations in TBX4 C. Gonzaga-Jauregui, L. Ma, A. King, E. Berman Rosenzweig, U. Krishnan, J. G. Reid, J. D. Overton, F. Dewey, W. K. Chung O28 NORTH CAROLINA macular dystrophy (MCDR1): mutations found affecting PRDM13 K. Small, A. DeLuca, F. Cremers, R. A. Lewis, V. Puech, B. Bakall, R. Silva-Garcia, K. Rohrschneider, M. Leys, F. S. Shaya, E. Stone O29 PhenoDB and genematcher, solving unsolved whole exome sequencing data N. L. Sobreira, F. Schiettecatte, H. Ling, E. Pugh, D. Witmer, K. Hetrick, P. Zhang, K. Doheny, D. Valle, A. Hamosh O30 Baylor-Johns Hopkins Center for Mendelian genomics: a four year review S. N. Jhangiani, Z. Coban Akdemir, M. N. Bainbridge, W. Charng, W. Wiszniewski, T. Gambin, E. Karaca, Y. Bayram, M. K. Eldomery, J. Posey, H. Doddapaneni, J. Hu, V. R. Sutton, D. M. Muzny, E. A. Boerwinkle, D. Valle, J. R. Lupski, R. A. Gibbs O31 Using read overlap assembly to accurately identify structural genetic differences in an ashkenazi jewish trio S. Shekar, W. Salerno, A. English, A. Mangubat, J. Bruestle O32 Legal interoperability: a sine qua non for international data sharing A. Thorogood, B. M. Knoppers, Global Alliance for Genomics and Health - Regulatory and Ethics Working Group O33 High throughput screening platform of competent sineups: that can enhance translation activities of therapeutic target H. Takahashi, K. R. Nitta, A. Kozhuharova, A. M. Suzuki, H. Sharma, D. Cotella, C. Santoro, S. Zucchelli, S. Gustincich, P. Carninci O34 The undiagnosed diseases network international (UDNI): clinical and laboratory research to meet patient needs J. J. Mulvihill, G. Baynam, W. Gahl, S. C. Groft, K. Kosaki, P. Lasko, B. Melegh, D. Taruscio O36 Performance of computational algorithms in pathogenicity predictions for activating variants in oncogenes versus loss of function mutations in tumor suppressor genes R. Ghosh, S. Plon O37 Identification and electronic health record incorporation of clinically actionable pharmacogenomic variants using prospective targeted sequencing S. Scherer, X. Qin, R. Sanghvi, K. Walker, T. Chiang, D. Muzny, L. Wang, J. Black, E. Boerwinkle, R. Weinshilboum, R. Gibbs O38 Melanoma reprogramming state correlates with response to CTLA-4 blockade in metastatic melanoma T. Karpinets, T. Calderone, K. Wani, X. Yu, C. Creasy, C. Haymaker, M. Forget, V. Nanda, J. Roszik, J. Wargo, L. Haydu, X. Song, A. Lazar, J. Gershenwald, M. Davies, C. Bernatchez, J. Zhang, A. Futreal, S. Woodman O39 Data-driven refinement of complex disease classification from integration of heterogeneous functional genomics data in GeneWeaver E. J. Chesler, T. Reynolds, J. A. Bubier, C. Phillips, M. A. Langston, E. J. Baker O40 A general statistic framework for genome-based disease risk prediction M. Xiong, L. Ma, N. Lin, C. Amos O41 Integrative large-scale causal network analysis of imaging and genomic data and its application in schizophrenia studies N. Lin, P. Wang, Y. Zhu, J. Zhao, V. Calhoun, M. Xiong O42 Big data and NGS data analysis: the cloud to the rescue O. Dobretsberger, M. Egger, F. Leimgruber O43 Cpipe: a convergent clinical exome pipeline specialised for targeted sequencing S. Sadedin, A. Oshlack, Melbourne Genomics Health Alliance O44 A Bayesian classification of biomedical images using feature extraction from deep neural networks implemented on lung cancer data V. A. A. Antonio, N. Ono, Clark Kendrick C. Go O45 MAV-SEQ: an interactive platform for the Management, Analysis, and Visualization of sequence data Z. Ahmed, M. Bolisetty, S. Zeeshan, E. Anguiano, D. Ucar O47 Allele specific enhancer in EPAS1 intronic regions may contribute to high altitude adaptation of Tibetans C. Zeng, J. Shao O48 Nanochannel based next-generation mapping for structural variation detection and comparison in trios and populations H. Cao, A. Hastie, A. W. Pang, E. T. Lam, T. Liang, K. Pham, M. Saghbini, Z. Dzakula O49 Archaic introgression in indigenous populations of Malaysia revealed by whole genome sequencing Y. Chee-Wei, L. Dongsheng, W. Lai-Ping, D. Lian, R. O. Twee Hee, Y. Yunus, F. Aghakhanian, S. S. Mokhtar, C. V. Lok-Yung, J. Bhak, M. Phipps, X. Shuhua, T. Yik-Ying, V. Kumar, H. Boon-Peng O50 Breast and ovarian cancer prevention: is it time for population-based mutation screening of high risk genes? I. Campbell, M.-A. Young, P. James, Lifepool O53 Comprehensive coverage from low DNA input using novel NGS library preparation methods for WGS and WGBS C. Schumacher, S. Sandhu, T. Harkins, V. Makarov O54 Methods for large scale construction of robust PCR-free libraries for sequencing on Illumina HiSeqX platform H. DoddapaneniR. Glenn, Z. Momin, B. Dilrukshi, H. Chao, Q. Meng, B. Gudenkauf, R. Kshitij, J. Jayaseelan, C. Nessner, S. Lee, K. Blankenberg, L. Lewis, J. Hu, Y. Han, H. Dinh, S. Jireh, K. Walker, E. Boerwinkle, D. Muzny, R. Gibbs O55 Rapid capture methods for clinical sequencing J. Hu, K. Walker, C. Buhay, X. Liu, Q. Wang, R. Sanghvi, H. Doddapaneni, Y. Ding, N. Veeraraghavan, Y. Yang, E. Boerwinkle, A. L. Beaudet, C. M. Eng, D. M. Muzny, R. A. Gibbs O56 A diploid personal human genome model for better genomes from diverse sequence data K. C. C. Worley, Y. Liu, D. S. T. Hughes, S. C. Murali, R. A. Harris, A. C. English, X. Qin, O. A. Hampton, P. Larsen, C. Beck, Y. Han, M. Wang, H. Doddapaneni, C. L. Kovar, W. J. Salerno, A. Yoder, S. Richards, J. Rogers, J. R. Lupski, D. M. Muzny, R. A. Gibbs O57 Development of PacBio long range capture for detection of pathogenic structural variants Q. Meng, M. Bainbridge, M. Wang, H. Doddapaneni, Y. Han, D. Muzny, R. Gibbs O58 Rhesus macaques exhibit more non-synonymous variation but greater impact of purifying selection than humans R. A. Harris, M. Raveenedran, C. Xue, M. Dahdouli, L. Cox, G. Fan, B. Ferguson, J. Hovarth, Z. Johnson, S. Kanthaswamy, M. Kubisch, M. Platt, D. Smith, E. Vallender, R. Wiseman, X. Liu, J. Below, D. Muzny, R. Gibbs, F. Yu, J. Rogers O59 Assessing RNA structure disruption induced by single-nucleotide variation J. Lin, Y. Zhang, Z. Ouyang P1 A meta-analysis of genome-wide association studies of mitochondrial dna copy number A. Moore, Z. Wang, J. Hofmann, M. Purdue, R. Stolzenberg-Solomon, S. Weinstein, D. Albanes, C.-S. Liu, W.-L. Cheng, T.-T. Lin, Q. Lan, N. Rothman, S. Berndt P2 Missense polymorphic genetic combinations underlying down syndrome susceptibility E. S. Chen P4 The evaluation of alteration of ELAM-1 expression in the endometriosis patients H. Bahrami, A. Khoshzaban, S. Heidari Keshal P5 Obesity and the incidence of apolipoprotein E polymorphisms in an assorted population from Saudi Arabia population K. K. R. Alharbi P6 Genome-associated personalized antithrombotical therapy for patients with high risk of thrombosis and bleeding M. Zhalbinova, A. Akilzhanova, S. Rakhimova, M. Bekbosynova, S. Myrzakhmetova P7 Frequency of Xmn1 polymorphism among sickle cell carrier cases in UAE population M. Matar P8 Differentiating inflammatory bowel diseases by using genomic data: dimension of the problem and network organization N. Mili, R. Molinari, Y. Ma, S. Guerrier P9 Vulnerability of genetic variants to the risk of autism among Saudi children N. Elhawary, M. Tayeb, N. Bogari, N. Qotb P10 Chromatin profiles from ex vivo purified dopaminergic neurons establish a promising model to support studies of neurological function and dysfunction S. A. McClymont, P. W. Hook, L. A. Goff, A. McCallion P11 Utilization of a sensitized chemical mutagenesis screen to identify genetic modifiers of retinal dysplasia in homozygous Nr2e3rd7 mice Y. Kong, J. R. Charette, W. L. Hicks, J. K. Naggert, L. Zhao, P. M. Nishina P12 Ion torrent next generation sequencing of recessive polycystic kidney disease in Saudi patients B. M. Edrees, M. Athar, F. A. Al-Allaf, M. M. Taher, W. Khan, A. Bouazzaoui, N. A. Harbi, R. Safar, H. Al-Edressi, A. Anazi, N. Altayeb, M. A. Ahmed, K. Alansary, Z. Abduljaleel P13 Digital expression profiling of Purkinje neurons and dendrites in different subcellular compartments A. Kratz, P. Beguin, S. Poulain, M. Kaneko, C. Takahiko, A. Matsunaga, S. Kato, A. M. Suzuki, N. Bertin, T. Lassmann, R. Vigot, P. Carninci, C. Plessy, T. Launey P14 The evolution of imperfection and imperfection of evolution: the functional and functionless fractions of the human genome D. Graur P16 Species-independent identification of known and novel recurrent genomic entities in multiple cancer patients J. Friis-Nielsen, J. M. Izarzugaza, S. Brunak P18 Discovery of active gene modules which are densely conserved across multiple cancer types reveal their prognostic power and mutually exclusive mutation patterns B. S. Soibam P19 Whole exome sequencing of dysplastic leukoplakia tissue indicates sequential accumulation of somatic mutations from oral precancer to cancer D. Das, N. Biswas, S. Das, S. Sarkar, A. Maitra, C. Panda, P. Majumder P21 Epigenetic mechanisms of carcinogensis by hereditary breast cancer genes J. J. Gruber, N. Jaeger, M. Snyder P22 RNA direct: a novel RNA enrichment strategy applied to transcripts associated with solid tumors K. Patel, S. Bowman, T. Davis, D. Kraushaar, A. Emerman, S. Russello, N. Henig, C. Hendrickson P23 RNA sequencing identifies gene mutations for neuroblastoma K. Zhang P24 Participation of SFRP1 in the modulation of TMPRSS2-ERG fusion gene in prostate cancer cell lines M. Rodriguez-Dorantes, C. D. Cruz-Hernandez, C. D. P. Garcia-Tobilla, S. Solorzano-Rosales P25 Targeted Methylation Sequencing of Prostate Cancer N. Jäger, J. Chen, R. Haile, M. Hitchins, J. D. Brooks, M. Snyder P26 Mutant TPMT alleles in children with acute lymphoblastic leukemia from México City and Yucatán, Mexico S. Jiménez-Morales, M. Ramírez, J. Nuñez, V. Bekker, Y. Leal, E. Jiménez, A. Medina, A. Hidalgo, J. Mejía P28 Genetic modifiers of Alström syndrome J. Naggert, G. B. Collin, K. DeMauro, R. Hanusek, P. M. Nishina P31 Association of genomic variants with the occurrence of angiotensin-converting-enzyme inhibitor (ACEI)-induced coughing among Filipinos E. M. Cutiongco De La Paz, R. Sy, J. Nevado, P. Reganit, L. Santos, J. D. Magno, F. E. Punzalan , D. Ona , E. Llanes, R. L. Santos-Cortes , R. Tiongco, J. Aherrera, L. Abrahan, P. Pagauitan-Alan; Philippine Cardiogenomics Study Group P32 The use of “humanized” mouse models to validate disease association of a de novo GARS variant and to test a novel gene therapy strategy for Charcot-Marie-Tooth disease type 2D K. H. Morelli, J. S. Domire, N. Pyne, S. Harper, R. Burgess P34 Molecular regulation of chondrogenic human induced pluripotent stem cells M. A. Gari, A. Dallol, H. Alsehli, A. Gari, M. Gari, A. Abuzenadah P35 Molecular profiling of hematologic malignancies: implementation of a variant assessment algorithm for next generation sequencing data analysis and clinical reporting M. Thomas, M. Sukhai, S. Garg, M. Misyura, T. Zhang, A. Schuh, T. Stockley, S. Kamel-Reid P36 Accessing genomic evidence for clinical variants at NCBI S. Sherry, C. Xiao, D. Slotta, K. Rodarmer, M. Feolo, M. Kimelman, G. Godynskiy, C. O’Sullivan, E. Yaschenko P37 NGS-SWIFT: a cloud-based variant analysis framework using control-accessed sequencing data from DBGAP/SRA C. Xiao, E. Yaschenko, S. Sherry P38 Computational assessment of drug induced hepatotoxicity through gene expression profiling C. Rangel-Escareño, H. Rueda-Zarate P40 Flowr: robust and efficient pipelines using a simple language-agnostic approach;ultraseq; fast modular pipeline for somatic variation calling using flowr S. Seth, S. Amin, X. Song, X. Mao, H. Sun, R. G. Verhaak, A. Futreal, J. Zhang P41 Applying “Big data” technologies to the rapid analysis of heterogenous large cohort data S. J. Whiite, T. Chiang, A. English, J. Farek, Z. Kahn, W. Salerno, N. Veeraraghavan, E. Boerwinkle, R. Gibbs P42 FANTOM5 web resource for the large-scale genome-wide transcription start site activity profiles of wide-range of mammalian cells T. Kasukawa, M. Lizio, J. Harshbarger, S. Hisashi, J. Severin, A. Imad, S. Sahin, T. C. Freeman, K. Baillie, A. Sandelin, P. Carninci, A. R. R. Forrest, H. Kawaji, The FANTOM Consortium P43 Rapid and scalable typing of structural variants for disease cohorts W. Salerno, A. English, S. N. Shekar, A. Mangubat, J. Bruestle, E. Boerwinkle, R. A. Gibbs P44 Polymorphism of glutathione S-transferases and sulphotransferases genes in an Arab population A. H. Salem, M. Ali, A. Ibrahim, M. Ibrahim P46 Genetic divergence of CYP3A5*3 pharmacogenomic marker for native and admixed Mexican populations J. C. Fernandez-Lopez, V. Bonifaz-Peña, C. Rangel-Escareño, A. Hidalgo-Miranda, A. V. Contreras P47 Whole exome sequence meta-analysis of 13 white blood cell, red blood cell, and platelet traits L. Polfus, CHARGE and NHLBI Exome Sequence Project Working Groups P48 Association of adipoq gene with type 2 diabetes and related phenotypes in african american men and women: The jackson heart study S. Davis, R. Xu, S. Gebeab, P Riestra, A Gaye, R. Khan, J. Wilson, A. Bidulescu P49 Common variants in casr gene are associated with serum calcium levels in koreans S. H. Jung, N. Vinayagamoorthy, S. H. Yim, Y. J. Chung P50 Inference of multiple-wave population admixture by modeling decay of linkage disequilibrium with multiple exponential functions Y. Zhou, S. Xu P51 A Bayesian framework for generalized linear mixed models in genome-wide association studies X. Wang, V. Philip, G. Carter P52 Targeted sequencing approach for the identification of the genetic causes of hereditary hearing impairment A. A. Abuzenadah, M. Gari, R. Turki, A. Dallol P53 Identification of enhancer sequences by ATAC-seq open chromatin profiling A. Uyar, A. Kaygun, S. Zaman, E. Marquez, J. George, D. Ucar P54 Direct enrichment for the rapid preparation of targeted NGS libraries C. L. Hendrickson, A. Emerman, D. Kraushaar, S. Bowman, N. Henig, T. Davis, S. Russello, K. Patel P56 Performance of the Agilent D5000 and High Sensitivity D5000 ScreenTape assays for the Agilent 4200 Tapestation System R. Nitsche, L. Prieto-Lafuente P57 ClinVar: a multi-source archive for variant interpretation M. Landrum, J. Lee, W. Rubinstein, D. Maglott P59 Association of functional variants and protein physical interactions of human MUTY homolog linked with familial adenomatous polyposis and colorectal cancer syndrome Z. Abduljaleel, W. Khan, F. A. Al-Allaf, M. Athar , M. M. Taher, N. Shahzad P60 Modification of the microbiom constitution in the gut using chicken IgY antibodies resulted in a reduction of acute graft-versus-host disease after experimental bone marrow transplantation A. Bouazzaoui, E. Huber, A. Dan, F. A. Al-Allaf, W. Herr, G. Sprotte, J. Köstler, A. Hiergeist, A. Gessner, R. Andreesen, E. Holler P61 Compound heterozygous mutation in the LDLR gene in Saudi patients suffering severe hypercholesterolemia F. Al-Allaf, A. Alashwal, Z. Abduljaleel, M. Taher, A. Bouazzaoui, H. Abalkhail, A. Al-Allaf, R. Bamardadh, M. Athar
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Yue M, Liu XJ, Ding Y, Wang XL, Yang HC, Liu YP. [Effect of bufalin on proliferation and apoptosis through ERK/RSK2 pathway in human esophageal carcinoma cell line xenografts in nude mice]. ZHONGHUA ZHONG LIU ZA ZHI [CHINESE JOURNAL OF ONCOLOGY] 2016; 38:325-32. [PMID: 27188603 DOI: 10.3760/cma.j.issn.0253-3766.2016.05.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
OBJECTIVE To investigate the effect of bufalin on proliferation and apoptosis through ERK/RSK2 pathway in esophageal squamous cell carcinoma xenografts in nude mice. METHODS The subcutaneous xenograft model of esophageal cancer ECA109 cells in nude mice was established. The mice were divided into the model group, low-dose bufalin group, medium-dose bufalin group, high-dose bufalin group, PD98059 group and combination group to evaluate the effect of bufalin on the xenografts. The morphology of xenografts was observed by microscopy. The cell apoptosis index of xenografts was detected by TUNEL assay. The expression of ERK and RSK2 mRNA of human ECA109 cell transplantation tumor in nude mice was examined by real-time quantitative PCR. The protein levels of ERK, p-ERK, RSK2, p-RSK2, GSK3β, p-GSK3β, Bad and p-Bad in the xenografts were examined by Western blot and Immunohistochemistry. RESULTS The tumor size of nude mice in the model group, low-dose bufalin group (BL), medium -dose bufalin group (BM), high-dose bufalin group (BH), PD98059 group and combined therapy group (BP) was (1.758±0.181) cm(3,) (1.680±0.150) cm(3,) (1.285±0.134) cm(3,) (0.873±0.095) cm(3,) (0.815±0.108) cm(3) and (0.530±0.104) cm(3,) respectively. Histological examination showed that the xenografts of each group had varying degrees of necrosis, and the most extensive necrosis was observed in the BP group. The TUNEL assay showed that the cell apoptosis index of xenografts in the model, BL, BM, BH, PD98059 and BP groups was (6.0±0.6)%, (11.0±0.7)%, (19.1±0.9)%, (25.1±1.4)%, (20.0±1.2)% and (17.1±0.7)%, respectively, which is highest in the BH group. The real-time quantitative PCR results showed that the ΔCT values of ERK mRNA in the model, BL, BM, BH, PD98059 and BP groups were 0.270±0.084, 0.293±0.081, 0.596±0.224, 0.857±0.183, 0.868±0.187 and 1.313±0.282, respectively. The ΔCT values of RSK2 mRNA in the model, BL, BM, BH, PD98059 and BP groups were 0.340±0.062, 0.337±0.071, 0.642±0.226, 0.915±0.170, 0.923±0.176 and 1.413±0.269, respectively. The relative expression of ERK and RSK2 mRNA was gradually decreased. Western blot and immunohistochemistry results showed that the protein levels of ERK, RSK2 and Bad in each group were not significantly different (P>0.05). The protein levels of p-ERK in the model, BL, BM, BH, PD98059 and BP groups were 0.721±0.094, 0.695±0.095, 0.555±0.080, 0.388±0.052, 0.341±0.060, 0.235± 0.056, respectively. The median immunoreactivity scores of p-ERK in each group were 8, 8, 6, 4, 5 and 3. The protein levels of p-RSK2 in the model, BL, BM, BH, PD98059 and BP groups were 0.613±0.085, 0.612±0.084, 0.427±0.089, 0.305±0.056, 0.258±0.051, 0.158±0.058, respectively. The median immunoreactivity scores of p-RSK in each group were 8, 8, 5, 3, 3 and 1. The protein level of GSK3β in the model, BL, BM, BH, PD98059 and BP groups were increased gradually, while the protein level of p-GSK3β and p-Bad were decreased gradually. CONCLUSIONS Bufalin exerts significant inhibitory effect on the esophageal squamous cell carcinoma xenogragts in nude mice. Bufalin may suppress the growth of xenogragts in nude mice by down-regulating the level of ERK and RSK2 phosphorylation, inhibit the proliferation of xenogragts via inactivating GSK3β and promote apoptosis through down-regulation of p-Bad.
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Liu YP, Li XY, Ding Y, Wang Q, Song JQ, Zhang Y, Li DX, Qin YP, Yang YL. [Clinical and laboratory studies on four Chinese patients with succinate-CoA ligase deficiency noticed by mild methylmalonic aciduria]. ZHONGHUA ER KE ZA ZHI = CHINESE JOURNAL OF PEDIATRICS 2016; 54:365-9. [PMID: 27143079 DOI: 10.3760/cma.j.issn.0578-1310.2016.05.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
OBJECTIVE To study the clinical and genetic features of the patients with secondary methylmalonic aciduria due to succinate-CoA ligase deficiency. METHOD From February 2011 to April 2014, 4 Chinese patients with succinate-CoA ligase deficiency and mild methylmalonic aciduria were enrolled in this study. The clinical course, biochemical features, brain MRI findings, and mutations were analyzed. RESULT Four patients presented with severe psychomotor retardation, hypotonia, seizures, feeding problems and failure to thrive from the age of one day to 6 months. Three of them had intractable epilepsies. One had hearing defect. Mild methylmalonic aciduria was detected by elevated urine methylmalonic acid and blood propionylcarnitine at the age of 6 months to 2 years and 8 months. Five mutations, c. 550G>A, c. 751C>T, c. 809A>C, c. 961C>G and c. 826-2A>G in SUCLG1 of three patients were identified. On SUCLA2, one novel mutation, c. 970C>T, was found in one patient. After treatment, the disease in all four patients was improved. CONCLUSION Four Chinese patients with succinyl-CoA ligase deficiency caused by SUCLG1 and SUCLA2 mutations were noticed by mild methylmalonic aciduria and diagnosed using high-throughput genomic sequencing. Succinate-CoA ligase deficiency is a rare cause of methylmalonic aciduria. Biochemical and gene studies are necessary for the differential diagnoses.
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434
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Ding Y, Waedt K. Safety and security aspects in design of digital safety I&C in nuclear power plants. KERNTECHNIK 2016. [DOI: 10.3139/124.110690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Abstract
The paper describes a safety objective oriented systematic design approach of digital (computerized) safety I&C in modern nuclear power plants which considers the plant safety requirements as well as cybersecurity needs. The defence in depth philosophy is applied by using different defence lines in the I&C architecture and protection zones in the plant IT environment.
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435
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Zhang L, Ding Y, Rao GZ, Miao D. Effects of IL-10 and glucose on expression of OPG and RANKL in human periodontal ligament fibroblasts. Braz J Med Biol Res 2016; 49:e4324. [PMID: 27074164 PMCID: PMC4828925 DOI: 10.1590/1414-431x20154324] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2015] [Accepted: 09/08/2015] [Indexed: 11/22/2022] Open
Abstract
The effects of interleukin-10 (IL-10) and glucose on mRNA and protein expression of
osteoprotegerin (OPG), and its ligand, receptor activator of nuclear factor-κB ligand
(RANKL), were investigated in human periodontal ligament fibroblasts (HPDLFs).
Primary HPDLFs were treated with different concentrations of IL-10 (0, 1, 10, 25, 50,
and 100 ng/mL) or glucose (0, 5.5, 10, 20, 30, and 40 mmol/L). Changes in mRNA and
protein expression were examined using the reverse-transcription polymerase chain
reaction (RT-PCR) and Western blot analysis, respectively. After IL-10 treatment,
mRNA and protein levels of OPG were increased, while mRNA and protein levels of RANKL
were decreased (P<0.05), both in a concentration-dependent manner. Glucose
stimulation had the opposite concentration-dependent effect to that of IL-10 on OPG
and RANKL expression. IL-10 upregulated OPG expression and downregulated RANKL
expression, whereas high glucose upregulated RANKL and downregulated OPG in HDPLFs.
Abnormal levels of IL-10 and glucose may contribute to the pathogenesis of
periodontal disease.
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Chen CZ, Zhu YN, Chai ML, Dai LS, Gao Y, Jiang H, Zhang LJ, Ding Y, Liu SY, Li QY, Lu WF, Zhang JB. AMFR gene silencing inhibits the differentiation of porcine preadipocytes. GENETICS AND MOLECULAR RESEARCH 2016; 15:gmr7354. [PMID: 27173213 DOI: 10.4238/gmr.15027354] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Our study clarifies the role of the autocrine motility factor receptor (AMFR) gene in porcine preadipocyte differentiation. AMFR-siRNA was transfected into porcine preadipocytes and the preadipocytes were induced to differentiation. Subsequently, qRT-PCR was conducted to examine changes in mRNA expression of a series of genes in porcine preadipocytes, including AMFR, sterol-regulatory element-binding protein-1a (SREBP1a), SREBP2, insulin-induced gene 1 (Insig1), and Insig2. Expression changes in the mRNA of genes regulating adipocyte differentiation were also analyzed using qRT-PCR, including peroxisome proliferator-activated receptor gamma (PPARγ), CCAAT/enhancer-binding protein alpha (C/EBPα), and Kruppel-like factor 2 (KLF2). Western blot analysis was conducted to examine the changes in AMFR protein expression in porcine preadipocytes. Additionally, morphological changes in differentiated porcine preadipocytes were examined by oil red O staining, and changes in optical density (OD) values were measured using an ultraviolet spectrophotometer. At 24 h after transfection with AMFR-siRNA, AMFR mRNA expression significantly reduced (P < 0.01), and AMFR protein expression markedly decreased (P < 0.05). The mRNA expression of SREBP1a, SREBP2, Insig1, and C/EBPα was significantly reduced (P < 0.01), whereas the expression of KLF2 mRNA was significantly elevated (P < 0.01). After induction of preadipocyte differentiation, the number of lipid droplets decreased in the AMFR-silenced group, and the OD value markedly reduced (P < 0.05). In addition, the expression of C/EBPα mRNA significantly decreased (P < 0.05), whereas the expression of KLF2 mRNA considerably increased (P < 0.05). Taken together, silencing of the AMFR gene inhibits the differentiation of porcine preadipocytes.
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Nie Y, Ren J, Ruan X, Bao J, Han R, Zhang S, Huang H, Li X, Ding Y, Wu H, Liu P, Zhou Z. The benchmark experiment on slab beryllium with D–T neutrons for validation of evaluated nuclear data. FUSION ENGINEERING AND DESIGN 2016. [DOI: 10.1016/j.fusengdes.2016.01.049] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Richard-Devantoy S, Ding Y, Lepage M, Turecki G, Jollant F. Cognitive inhibition in depression and suicidal behavior: a neuroimaging study. Psychol Med 2016; 46:933-944. [PMID: 26670261 DOI: 10.1017/s0033291715002421] [Citation(s) in RCA: 80] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND Cognitive inhibition deficits have previously been found in suicide attempters. This study examined the neural basis for these deficits in depressed patients with and without a history of suicidal behavior. METHOD Functional magnetic resonance imaging was used to measure brain activation during the Go/No-Go response inhibition task in 25 unmedicated and depressed middle-aged suicide attempters, 22 unmedicated depressed patient controls with no personal or family history of suicidal behavior, and 27 healthy controls. Whole-brain analyses were conducted with SPM12. RESULTS Suicide attempters exhibited an elevated number of commission errors relative to both control groups. However, suicide attempters did not differ from patient controls in terms of brain activation for any contrast. Analyses showed a significant association between depression and brain activation in the left inferior frontal gyrus and medial thalamus during Go v. No-Go, and in the bilateral parietal cortex and left orbitofrontal cortex during No-Go v. baseline. These regions were correlated with psychological pain, suicidal ideation and global functioning. There was no association between brain activation and personal histories of suicidal act. CONCLUSIONS Our study suggests that deficits in cognitive inhibition, in relation to the inferior frontal gyrus, thalamus, orbitofrontal cortex and parietal cortex, are related to the depressive state and not specifically to suicide vulnerability. We hypothesize that state-related deficits may add to trait-like cognitive impairments to facilitate suicidal acts. These different types of cognitive impairments may necessitate different therapeutic strategies for the prevention of suicide.
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Wu J, Liu CY, Chen WT, Ma WY, Ding Y. A new method for estimating the number of non-differentially expressed genes. GENETICS AND MOLECULAR RESEARCH 2016; 15:gmr7402. [PMID: 27051004 DOI: 10.4238/gmr.15017402] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Control of the false discovery rate is a statistical method that is widely used when identifying differentially expressed genes in high-throughput sequencing assays. It is often calculated using an adaptive linear step-up procedure in which the number of non-differentially expressed genes should be estimated accurately. In this paper, we discuss the estimation of this parameter and point out defects in the original estimation method. We also propose a new estimation method and provide the error estimation. We compared the estimation results from the two methods in a simulation study that produced a mean, standard deviation, range, and root mean square error. The results revealed that there was little difference in the mean between the two methods, but the standard deviation, range, and root mean square error obtained using the new method were much smaller than those produced by the original method, which indicates that the new method is more accurate and robust. Furthermore, we used real microarray data to verify the conclusion. Finally we provide a suggestion when analyzing differentially expressed genes using statistical methods.
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Zhang Y, Deng S, Pan M, Lei M, Kan X, Ding Y, Zhao Y, Köhler J. Preparation and characterization of a possible topological insulator BiYO3: experiment versus theory. Phys Chem Chem Phys 2016; 18:8205-11. [PMID: 26926091 DOI: 10.1039/c5cp07976d] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The Bi-Y-O system has been investigated by X-ray powder diffraction, electron diffraction, UV-vis and IR experiments. A metastable cubic high temperature phase of BiYO3 with fluorite-type structure has been structurally characterized for the first time and shows a large band gap of ∼ 5.9 eV. A unified description for the numerous structural variants discovered in the Bi-Y-O system is established within the symmetry breaking approach. This rich structural phenomenon makes the Bi-Y-O system a promising candidate in the search for new topological insulators for applications. On this basis, a long standing controversy on the phase diagram of the Bi-Y-O system has been solved. Our DFT calculations predict a high pressure phase for BiYO3 with perovskite (ABO3) structure and ordering of Bi and Y on the A and B sites, respectively. However, our analysis of the nature of the low energy electronic structure shows that this phase is not a suitable candidate for a topological insulator.
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Ablikim M, Achasov M, Ai X, Albayrak O, Albrecht M, Ambrose D, Amoroso A, An F, An Q, Bai J, Baldini Ferroli R, Ban Y, Bennett D, Bennett J, Bertani M, Bettoni D, Bian J, Bianchi F, Boger E, Boyko I, Briere R, Cai H, Cai X, Cakir O, Calcaterra A, Cao G, Cetin S, Chang J, Chelkov G, Chen G, Chen H, Chen H, Chen J, Chen M, Chen S, Chen X, Chen X, Chen Y, Cheng H, Chu X, Cibinetto G, Dai H, Dai J, Dbeyssi A, Dedovich D, Deng Z, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong L, Dong M, Dou Z, Du S, Duan P, Fan J, Fang J, Fang S, Fang X, Fang Y, Fava L, Feldbauer F, Felici G, Feng C, Fioravanti E, Fritsch M, Fu C, Gao Q, Gao X, Gao X, Gao Y, Gao Z, Garzia I, Goetzen K, Gong W, Gradl W, Greco M, Gu M, Gu Y, Guan Y, Guo A, Guo L, Guo Y, Guo Y, Haddadi Z, Hafner A, Han S, Harris F, He K, Held T, Heng Y, Hou Z, Hu C, Hu H, Hu J, Hu T, Hu Y, Huang G, Huang G, Huang J, Huang X, Huang Y, Hussain T, Ji Q, Ji Q, Ji X, Ji X, Jiang L, Jiang X, Jiang X, Jiao J, Jiao Z, Jin D, Jin S, Johansson T, Julin A, Kalantar-Nayestanaki N, Kang X, Kang X, Kavatsyuk M, Ke B, Kiese P, Kliemt R, Kloss B, Kolcu O, Kopf B, Kornicer M, Kühn W, Kupsc A, Lange J, Lara M, Larin P, Leng C, Li C, Li C, Li D, Li F, Li F, Li G, Li H, Li J, Li J, Li K, Li K, Li L, Li P, Li T, Li W, Li W, Li X, Li X, Li X, Li X, Li Z, Liang H, Liang Y, Liang Y, Liao G, Lin D, Liu B, Liu C, Liu D, Liu F, Liu F, Liu F, Liu H, Liu H, Liu H, Liu H, Liu J, Liu J, Liu J, Liu J, Liu K, Liu K, Liu L, Liu P, Liu Q, Liu S, Liu X, Liu Y, Liu Z, Liu Z, Loehner H, Lou X, Lu H, Lu J, Lu Y, Lu Y, Luo C, Luo M, Luo T, Luo X, Lyu X, Ma F, Ma H, Ma L, Ma Q, Ma T, Ma X, Ma X, Maas F, Maggiora M, Mao Y, Mao Z, Marcello S, Messchendorp J, Min J, Mitchell R, Mo X, Mo Y, Morales Morales C, Muchnoi N, Muramatsu H, Nefedov Y, Nerling F, Nikolaev I, Ning Z, Nisar S, Niu S, Niu X, Olsen S, Ouyang Q, Pacetti S, Pan Y, Patteri P, Pelizaeus M, Peng H, Peters K, Pettersson J, Ping J, Ping R, Poling R, Prasad V, Qi M, Qian S, Qiao C, Qin L, Qin N, Qin X, Qin Z, Qiu J, Rashid K, Redmer C, Ripka M, Rong G, Rosner C, Ruan X, Santoro V, Sarantsev A, Savrié M, Schoenning K, Schumann S, Shan W, Shao M, Shen C, Shen P, Shen X, Sheng H, Song W, Song X, Sosio S, Spataro S, Sun G, Sun J, Sun S, Sun Y, Sun Y, Sun Z, Sun Z, Tang C, Tang X, Tapan I, Thorndike E, Tiemens M, Ullrich M, Uman I, Varner G, Wang B, Wang B, Wang D, Wang D, Wang K, Wang L, Wang L, Wang M, Wang P, Wang P, Wang S, Wang W, Wang W, Wang X, Wang Y, Wang Y, Wang Y, Wang Z, Wang Z, Wang Z, Wang Z, Weber T, Wei D, Wei J, Weidenkaff P, Wen S, Wiedner U, Wolke M, Wu L, Wu Z, Xia L, Xia L, Xia Y, Xiao D, Xiao H, Xiao Z, Xie Y, Xiu Q, Xu G, Xu L, Xu Q, Xu X, Yan L, Yan W, Yan W, Yan Y, Yang H, Yang H, Yang L, Yang Y, Yang Y, Ye M, Ye M, Yin J, Yu B, Yu C, Yu J, Yuan C, Yuan W, Yuan Y, Yuncu A, Zafar A, Zallo A, Zeng Y, Zeng Z, Zhang B, Zhang B, Zhang C, Zhang C, Zhang D, Zhang H, Zhang H, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang K, Zhang L, Zhang X, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Z, Zhang Z, Zhang Z, Zhao G, Zhao J, Zhao J, Zhao J, Zhao L, Zhao L, Zhao M, Zhao Q, Zhao Q, Zhao S, Zhao T, Zhao Y, Zhao Z, Zhemchugov A, Zheng B, Zheng J, Zheng W, Zheng Y, Zhong B, Zhou L, Zhou X, Zhou X, Zhou X, Zhou X, Zhu K, Zhu K, Zhu S, Zhu S, Zhu X, Zhu Y, Zhu Y, Zhu Z, Zhuang J, Zotti L, Zou B, Zou J. Search for a lightCP-odd Higgs boson in radiative decays ofJ/ψ. Int J Clin Exp Med 2016. [DOI: 10.1103/physrevd.93.052005] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Sandulache V, Hobbs B, Mohamed A, Frank S, Hazle J, Awan M, Rosenthal D, Garden A, Gunn G, Ding Y, Wang J, Colen R, Hutcheson K, Lewin J, Chambers M, Hofstede T, Weber R, Lai S, Fuller C. Dynamic Contrast-Enhanced MRI Detects Acute Radiation Therapy–Induced Alterations in Mandibular Microvasculature: Prospective Assessment of Imaging Biomarkers of Normal Tissue Injury. Int J Radiat Oncol Biol Phys 2016. [DOI: 10.1016/j.ijrobp.2015.12.173] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Messer J, Mohamed A, Hutcheson K, Ding Y, Wang J, Eichelberger H, French C, Rosenthal D, Gunn G, Fuller C. Longitudinal Characterization of MRI Kinetics in Irradiated Dysphagia-Related Structures for Nasopharyngeal Carcinoma Patients Receiving IMRT. Int J Radiat Oncol Biol Phys 2016. [DOI: 10.1016/j.ijrobp.2015.12.161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Ding Y, Dai D, Kallmes DF, Schroeder D, Kealey CP, Gupta V, Johnson AD, Kadirvel R. Preclinical Testing of a Novel Thin Film Nitinol Flow-Diversion Stent in a Rabbit Elastase Aneurysm Model. AJNR Am J Neuroradiol 2016; 37:497-501. [PMID: 26494695 DOI: 10.3174/ajnr.a4568] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2015] [Accepted: 08/12/2015] [Indexed: 12/23/2022]
Abstract
BACKGROUND AND PURPOSE Thin film nitinol can be processed to produce a thin microporous sheet with a low percentage of metal coverage (<20%) and high pore attenuation (∼70 pores/mm(2)) for flow diversion. We present in vivo results from the treatment of experimental rabbit aneurysms by using a thin film nitinol-based flow-diversion device. MATERIALS AND METHODS Nineteen aneurysms in the rabbit elastase aneurysm model were treated with a single thin film nitinol flow diverter. Devices were also placed over 17 lumbar arteries to model perianeurysmal branch arteries of the intracranial circulation. Angiography was performed at 2 weeks (n = 7), 1 month (n = 8), and 3 months (n = 4) immediately before sacrifice. Aneurysm occlusion was graded on a 3-point scale (grade I, complete occlusion; grade II, near-complete occlusion; grade III, incomplete occlusion). Toluidine blue staining was used for histologic evaluation. En face CD31 immunofluorescent staining was performed to quantify neck endothelialization. RESULTS Markedly reduced intra-aneurysmal flow was observed on angiography immediately after device placement in all aneurysms. Grade I or II occlusion was noted in 4 (57%) aneurysms at 2-week, in 6 (75%) aneurysms at 4-week, and in 3 (75%) aneurysms at 12-week follow-up. All 17 lumbar arteries were patent. CD31 staining showed that 75% ± 16% of the aneurysm neck region was endothelialized. Histopathology demonstrated incorporation of the thin film nitinol flow diverter into the vessel wall and no evidence of excessive neointimal hyperplasia. CONCLUSIONS In this rabbit model, the thin film nitinol flow diverter achieved high rates of aneurysm occlusion and promoted tissue in-growth and aneurysm neck healing, even early after implantation.
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Ablikim M, Achasov MN, Ai XC, Albayrak O, Albrecht M, Ambrose DJ, Amoroso A, An FF, An Q, Bai JZ, Baldini Ferroli R, Ban Y, Bennett DW, Bennett JV, Bertani M, Bettoni D, Bian JM, Bianchi F, Boger E, Boyko I, Briere RA, Cai H, Cai X, Cakir O, Calcaterra A, Cao GF, Cetin SA, Chang JF, Chelkov G, Chen G, Chen HS, Chen HY, Chen JC, Chen ML, Chen S, Chen SJ, Chen X, Chen XR, Chen YB, Cheng HP, Chu XK, Cibinetto G, Dai HL, Dai JP, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Dou ZL, Du SX, Duan PF, Fan JZ, Fang J, Fang SS, Fang X, Fang Y, Fava L, Feldbauer F, Felici G, Feng CQ, Fioravanti E, Fritsch M, Fu CD, Gao Q, Gao XL, Gao XY, Gao Y, Gao Z, Garzia I, Goetzen K, Gong WX, Gradl W, Greco M, Gu MH, Gu YT, Guan YH, Guo AQ, Guo LB, Guo RP, Guo Y, Guo YP, Haddadi Z, Hafner A, Han S, Harris FA, He KL, Held T, Heng YK, Hou ZL, Hu C, Hu HM, Hu JF, Hu T, Hu Y, Huang GM, Huang GS, Huang JS, Huang XT, Huang XZ, Huang Y, Hussain T, Ji Q, Ji QP, Ji XB, Ji XL, Jiang LW, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Johansson T, Julin A, Kalantar-Nayestanaki N, Kang XL, Kang XS, Kavatsyuk M, Ke BC, Kiese P, Kliemt R, Kloss B, Kolcu OB, Kopf B, Kornicer M, Kuehn W, Kupsc A, Lange JS, Lara M, Larin P, Leng C, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li J, Li K, Li K, Li L, Li PR, Li T, Li WD, Li WG, Li XL, Li XM, Li XN, Li XQ, Li ZB, Liang H, Liang JJ, Liang YF, Liang YT, Liao GR, Lin DX, Liu BJ, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu HB, Liu HH, Liu HH, Liu HM, Liu J, Liu JB, Liu JP, Liu JY, Liu K, Liu KY, Liu LD, Liu PL, Liu Q, Liu SB, Liu X, Liu YB, Liu ZA, Liu Z, Loehner H, Lou XC, Lu HJ, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo T, Luo XL, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma T, Ma XN, Ma XY, Maas FE, Maggiora M, Mao YJ, Mao ZP, Marcello S, Messchendorp JG, Min J, Mitchell RE, Mo XH, Mo YJ, Morales Morales C, Moriya K, Muchnoi NY, Muramatsu H, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Niu XY, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Poling R, Prasad V, Qi M, Qian S, Qiao CF, Qin LQ, Qin N, Qin XS, Qin ZH, Qiu JF, Rashid KH, Redmer CF, Ripka M, Rong G, Rosner C, Ruan XD, Sarantsev A, Savrié M, Schoenning K, Schumann S, Shan W, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Shi M, Song WM, Song XY, Sosio S, Spataro S, Sun GX, Sun JF, Sun SS, Sun XH, Sun YJ, Sun YZ, Sun ZJ, Sun ZT, Tang CJ, Tang X, Tapan I, Thorndike EH, Tiemens M, Ullrich M, Uman I, Varner GS, Wang B, Wang BL, Wang D, Wang DY, Wang K, Wang LL, Wang LS, Wang M, Wang P, Wang PL, Wang SG, Wang W, Wang WP, Wang XF, Wang Y, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZH, Wang ZY, Wang ZY, Weber T, Wei DH, Wei JB, Weidenkaff P, Wen SP, Wiedner U, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia LG, Xia Y, Xiao D, Xiao H, Xiao ZJ, Xie YG, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu XP, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang Y, Yang YY, Ye M, Ye MH, Yin JH, Yu BX, Yu CX, Yu JS, Yuan CZ, Yuan WL, Yuan Y, Yuncu A, Zafar AA, Zallo A, Zeng Y, Zeng Z, Zhang BX, Zhang BY, Zhang C, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JJ, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang XY, Zhang Y, Zhang YH, Zhang YN, Zhang YT, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao QW, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng WJ, Zheng YH, Zhong B, Zhou L, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhu K, Zhu KJ, Zhu S, Zhu SH, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zotti L, Zou BS, Zou JH. Observation of the Singly Cabibbo-Suppressed Decay D^{+}→ωπ^{+} and Evidence for D^{0}→ωπ^{0}. PHYSICAL REVIEW LETTERS 2016; 116:082001. [PMID: 26967411 DOI: 10.1103/physrevlett.116.082001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/24/2015] [Indexed: 06/05/2023]
Abstract
Based on 2.93 fb^{-1} e^{+}e^{-} collision data taken at center-of-mass energy of 3.773 GeV by the BESIII detector, we report searches for the singly Cabibbo-suppressed decays D^{+}→ωπ^{+} and D^{0}→ωπ^{0}. A double tag technique is used to measure the absolute branching fractions B(D^{+}→ωπ^{+})=(2.79±0.57±0.16)×10^{-4} and B(D^{0}→ωπ^{0})=(1.17±0.34±0.07)×10^{-4}, with statistical significances of 5.5σ and 4.1σ, where the first and second uncertainties are statistical and systematic, respectively.
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Ablikim M, Achasov MN, Ai XC, Albayrak O, Albrecht M, Ambrose DJ, Amoroso A, An FF, An Q, Bai JZ, Baldini Ferroli R, Ban Y, Bennett DW, Bennett JV, Bertani M, Bettoni D, Bian JM, Bianchi F, Boger E, Boyko I, Briere RA, Cai H, Cai X, Cakir O, Calcaterra A, Cao GF, Cetin SA, Chang JF, Chelkov G, Chen G, Chen HS, Chen HY, Chen JC, Chen ML, Chen SJ, Chen X, Chen XR, Chen YB, Cheng HP, Chu XK, Cibinetto G, Dai HL, Dai JP, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Dou ZL, Du SX, Duan PF, Eren EE, Fan JZ, Fang J, Fang SS, Fang X, Fang Y, Farinelli R, Fava L, Fedorov O, Feldbauer F, Felici G, Feng CQ, Fioravanti E, Fritsch M, Fu CD, Gao Q, Gao XL, Gao XY, Gao Y, Gao Z, Garzia I, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu MH, Gu YT, Guan YH, Guo AQ, Guo LB, Guo Y, Guo YP, Haddadi Z, Hafner A, Han S, Hao XQ, Harris FA, He KL, Held T, Heng YK, Hou ZL, Hu C, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang Y, Hussain T, Ji Q, Ji QP, Ji XB, Ji XL, Jiang LW, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Johansson T, Julin A, Kalantar-Nayestanaki N, Kang XL, Kang XS, Kavatsyuk M, Ke BC, Kiese P, Kliemt R, Kloss B, Kolcu OB, Kopf B, Kornicer M, Kuehn W, Kupsc A, Lange JS, Lara M, Larin P, Leng C, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li JC, Li J, Li K, Li K, Li L, Li PR, Li QY, Li T, Li WD, Li WG, Li XL, Li XM, Li XN, Li XQ, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Lin DX, Liu BJ, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu HB, Liu HH, Liu HH, Liu HM, Liu J, Liu JB, Liu JP, Liu JY, Liu K, Liu KY, Liu LD, Liu PL, Liu Q, Liu SB, Liu X, Liu YB, Liu ZA, Liu Z, Loehner H, Lou XC, Lu HJ, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo T, Luo XL, Lyu XR, Ma FC, Ma HL, Ma LL, Ma QM, Ma T, Ma XN, Ma XY, Ma YM, Maas FE, Maggiora M, Mao YJ, Mao ZP, Marcello S, Messchendorp JG, Min J, Mitchell RE, Mo XH, Mo YJ, Morales Morales C, Muchnoi NY, Muramatsu H, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Niu XY, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Poling R, Prasad V, Qi HR, Qi M, Qian S, Qiao CF, Qin LQ, Qin N, Qin XS, Qin ZH, Qiu JF, Rashid KH, Redmer CF, Ripka M, Rong G, Rosner C, Ruan XD, Santoro V, Sarantsev A, Savrié M, Schoenning K, Schumann S, Shan W, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Song WM, Song XY, Sosio S, Spataro S, Sun GX, Sun JF, Sun SS, Sun YJ, Sun YZ, Sun ZJ, Sun ZT, Tang CJ, Tang X, Tapan I, Thorndike EH, Tiemens M, Ullrich M, Uman I, Varner GS, Wang B, Wang BL, Wang D, Wang DY, Wang K, Wang LL, Wang LS, Wang M, Wang P, Wang PL, Wang SG, Wang W, Wang WP, Wang XF, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZH, Wang ZY, Weber T, Wei DH, Wei JB, Weidenkaff P, Wen SP, Wiedner U, Wolke M, Wu LH, Wu Z, Xia L, Xia LG, Xia Y, Xiao D, Xiao H, Xiao ZJ, Xie YG, Xiu QL, Xu GF, Xu L, Xu QJ, Xu QN, Xu XP, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang YX, Ye M, Ye MH, Yin JH, Yu BX, Yu CX, Yu JS, Yuan CZ, Yuan WL, Yuan Y, Yuncu A, Zafar AA, Zallo A, Zeng Y, Zeng Z, Zhang BX, Zhang BY, Zhang C, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang JJ, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang XY, Zhang Y, Zhang YH, Zhang YN, Zhang YT, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao QW, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng WJ, Zheng YH, Zhong B, Zhou L, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhu K, Zhu KJ, Zhu S, Zhu SH, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zotti L, Zou BS, Zou JH. Measurements of Absolute Hadronic Branching Fractions of the Λ_{c}^{+} Baryon. PHYSICAL REVIEW LETTERS 2016; 116:052001. [PMID: 26894702 DOI: 10.1103/physrevlett.116.052001] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/26/2015] [Indexed: 06/05/2023]
Abstract
We report the first measurement of absolute hadronic branching fractions of Λ_{c}^{+} baryon at the Λ_{c}^{+}Λ[over ¯]_{c}^{-} production threshold, in the 30 years since the Λ_{c}^{+} discovery. In total, 12 Cabibbo-favored Λ_{c}^{+} hadronic decay modes are analyzed with a double-tag technique, based on a sample of 567 pb^{-1} of e^{+}e^{-} collisions at sqrt[s]=4.599 GeV recorded with the BESIII detector. A global least-squares fitter is utilized to improve the measured precision. Among the measurements for twelve Λ_{c}^{+} decay modes, the branching fraction for Λ_{c}^{+}→pK^{-}π^{+} is determined to be (5.84±0.27±0.23)%, where the first uncertainty is statistical and the second is systematic. In addition, the measurements of the branching fractions of the other 11 Cabibbo-favored hadronic decay modes are significantly improved.
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Li H, Wang Q, Ding Y, Bao C, Li W. Mangiferin amelioratesPorphyromonas gingivalis-induced experimental periodontitis by inhibiting phosphorylation of nuclear factor-κB and Janus kinase 1-signal transducer and activator of transcription signaling pathways. J Periodontal Res 2016; 52:1-7. [PMID: 26825585 DOI: 10.1111/jre.12360] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/08/2015] [Indexed: 02/05/2023]
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Ablikim M, Achasov MN, Ai XC, Albayrak O, Albrecht M, Ambrose DJ, Amoroso A, An FF, An Q, Bai JZ, Ferroli RB, Ban Y, Bennett DW, Bennett JV, Bertani M, Bettoni D, Bian JM, Bianchi F, Boger E, Boyko I, Briere RA, Cai H, Cai X, Cakir O, Calcaterra A, Cao GF, Cetin SA, Chang JF, Chelkov G, Chen G, Chen HS, Chen HY, Chen JC, Chen ML, Chen SJ, Chen X, Chen XR, Chen YB, Cheng HP, Chu XK, Cibinetto G, Dai HL, Dai JP, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Du SX, Duan PF, Eren EE, Fan JZ, Fang J, Fang SS, Fang X, Fang Y, Fava L, Feldbauer F, Felici G, Feng CQ, Fioravanti E, Fritsch M, Fu CD, Gao Q, Gao XY, Gao Y, Gao Z, Garzia I, Goetzen K, Gong WX, Gradl W, Greco M, Gu MH, Gu YT, Guan YH, Guo AQ, Guo LB, Guo Y, Guo YP, Haddadi Z, Hafner A, Han S, Hao XQ, Harris FA, He KL, He XQ, Held T, Heng YK, Hou ZL, Hu C, Hu HM, Hu JF, Hu T, Hu Y, Huang GM, Huang GS, Huang JS, Huang XT, Huang Y, Hussain T, Ji Q, Ji QP, Ji XB, Ji XL, Jiang LW, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Johansson T, Julin A, Kalantar-Nayestanaki N, Kang XL, Kang XS, Kavatsyuk M, Ke BC, Kiese P, Kliemt R, Kloss B, Kolcu OB, Kopf B, Kornicer M, Kühn W, Kupsc A, Lange JS, Lara M, Larin P, Leng C, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li JC, Li J, Li K, Li K, Li L, Li PR, Li T, Li WD, Li WG, Li XL, Li XM, Li XN, Li XQ, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Lin DX, Liu BJ, Liu CX, Liu FH, Liu F, Liu F, Liu HB, Liu HH, Liu HH, Liu HM, Liu J, Liu JB, Liu JP, Liu JY, Liu K, Liu KY, Liu LD, Liu PL, Liu Q, Liu SB, Liu X, Liu YB, Liu ZA, Liu Z, Loehner H, Lou XC, Lu HJ, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo T, Luo XL, Lyu XR, Ma FC, Ma HL, Ma LL, Ma QM, Ma T, Ma XN, Ma XY, Maas FE, Maggiora M, Mao YJ, Mao ZP, Marcello S, Messchendorp JG, Min J, Mitchell RE, Mo XH, Mo YJ, Morales CM, Moriya K, Muchnoi NY, Muramatsu H, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Niu XY, Olsen SL, Ouyang Q, Pacetti S, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Poling R, Prasad V, Qi M, Qian S, Qiao CF, Qin LQ, Qin N, Qin XS, Qin ZH, Qiu JF, Rashid KH, Redmer CF, Ripka M, Rong G, Rosner C, Ruan XD, Santoro V, Sarantsev A, Savrié M, Schoenning K, Schumann S, Shan W, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Song WM, Song XY, Sosio S, Spataro S, Sun GX, Sun JF, Sun SS, Sun YJ, Sun YZ, Sun ZJ, Sun ZT, Tang CJ, Tang X, Tapan I, Thorndike EH, Tiemens M, Ullrich M, Uman I, Varner GS, Wang B, Wang D, Wang DY, Wang K, Wang LL, Wang LS, Wang M, Wang P, Wang PL, Wang SG, Wang W, Wang XF, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZH, Wang ZY, Weber T, Wei DH, Wei JB, Weidenkaff P, Wen SP, Wiedner U, Wolke M, Wu LH, Wu Z, Xia LG, Xia Y, Xiao D, Xiao H, Xiao ZJ, Xie YG, Xiu QL, Xu GF, Xu L, Xu QJ, Xu XP, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang Y, Yang YX, Ye M, Ye MH, Yin JH, Yu BX, Yu CX, Yu JS, Yuan CZ, Yuan WL, Yuan Y, Yuncu A, Zafar AA, Zallo A, Zeng Y, Zhang BX, Zhang BY, Zhang C, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang JJ, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang XY, Zhang Y, Zhang YN, Zhang YH, Zhang YT, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao QW, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng WJ, Zheng YH, Zhong B, Zhou L, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhu K, Zhu KJ, Zhu S, Zhu SH, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zotti L, Zou BS, Zou JH. Measurement of Azimuthal Asymmetries in Inclusive Charged Dipion Production in e^{+}e^{-} Annihilations at sqrt[s]=3.65 GeV. PHYSICAL REVIEW LETTERS 2016; 116:042001. [PMID: 26871323 DOI: 10.1103/physrevlett.116.042001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2015] [Indexed: 06/05/2023]
Abstract
We present a measurement of the azimuthal asymmetries of two charged pions in the inclusive process e^{+}e^{-}→ππX, based on a data set of 62 pb^{-1} at the center-of-mass energy of 3.65 GeV collected with the BESIII detector. These asymmetries can be attributed to the Collins fragmentation function. We observe a nonzero asymmetry, which increases with increasing pion momentum. As our energy scale is close to that of the existing semi-inclusive deep inelastic scattering experimental data, the measured asymmetries are important inputs for the global analysis of extracting the quark transversity distribution inside the nucleon and are valuable to explore the energy evolution of the spin-dependent fragmentation function.
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Cai L, Stevenson J, Peng C, Xin R, Rastogi R, Liu K, Geng X, Gao Z, Ji X, Rafols JA, Ji Z, Ding Y. Adjuvant therapies using normobaric oxygen with hypothermia or ethanol for reducing hyperglycolysis in thromboembolic cerebral ischemia. Neuroscience 2016; 318:45-57. [PMID: 26794589 DOI: 10.1016/j.neuroscience.2016.01.010] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2015] [Revised: 11/25/2015] [Accepted: 01/06/2016] [Indexed: 01/08/2023]
Abstract
BACKGROUND AND PURPOSE Normobaric oxygen (NBO), ethanol (EtOH), and therapeutic hypothermia (TH) delivered alone or in combination have neuroprotective properties after acute stroke. We used an autologous thromboembolic rat stroke model to assess the additive effects of these treatments for reducing the deleterious effects of hyperglycolysis post-stroke in which reperfusion is induced with recombinant tissue plasminogen activator (rt-PA). METHODS Sprague-Dawley rats were subjected to middle cerebral artery (MCA) occlusion with an autologous embolus. One hour after occlusion, rt-PA was administered alone or with NBO (60%), EtOH (1.0 g/kg), TH (33 °C), either singly or in combination. Infarct volume and neurological deficit were assessed at 24h after rt-PA-induced reperfusion with or without other treatments. The extent of hyperglycolysis, as determined by cerebral glucose and lactate levels was evaluated at 3 and 24h after rt-PA administration. At the same time points, expressions of glucose transporter 1 (Glut1), glucose transporter 3 (Glut3), phosphofructokinase1 (PFK-1), and lactate dehydrogenase were (LDH) measured by Western blotting. RESULTS Following rt-PA in rats with thromboembolic stroke, NBO combined with TH or EtOH most effectively decreased infarct volume and neurological deficit. As compared to rt-PA alone, EtOH or TH but not NBO monotherapies significantly reduced post-stroke hyperglycolysis. The increased utilization of glucose and production of lactate post-stroke was prevented most effectively when NBO was combined with either EtOH or TH after reperfusion with rt-PA, as shown by the significantly decreased Glut1, Glut3, PFK-1, and LDH levels. CONCLUSIONS In a rat thromboembolic stroke model, both EtOH and TH used individually offer neuroprotection after the administration of rt-PA. While NBO monotherapy does not appear to be effective, it significantly potentiates the efficacy of EtOH and TH. The similar neuroprotection and underlying mechanisms pertaining to the attenuation of hyperglycolysis provided by EtOH or TH in combination with NBO suggest a possibility of substituting EtOH for TH. Thus a combination of NBO and EtOH, which are widely available and easily used, could become a novel and effective neuroprotective strategy in the clinical setting.
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Fu LY, Wu CY, Zhou YX, Zuo JE, Ding Y. Treatment of petrochemical secondary effluent by an up-flow biological aerated filter (BAF). WATER SCIENCE AND TECHNOLOGY : A JOURNAL OF THE INTERNATIONAL ASSOCIATION ON WATER POLLUTION RESEARCH 2016; 73:2031-2038. [PMID: 27120658 DOI: 10.2166/wst.2016.049] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
In this study, petrochemical secondary effluent was treated by a 55 cm diameter pilot-scale biological aerated filter (BAF) with a media depth of 220 cm. Volcanic rock grains were filled as the BAF media. Median removal efficiency of chemical oxygen demand (COD) and ammonia nitrogen (NH3-N) was 29.35 and 57.98%, respectively. Moreover, the removal profile of the COD, NH3-N, total nitrogen and total organic carbon demonstrated that the filter height of 140 cm made up to 90% of the total removal efficiency of the final effluent. By gas chromatography-mass spectrometry, removal efficiencies of 2-chloromethyl-1,3-dioxolane, and benzonitrile, indene and naphthalene were obtained, ranging from 30.12 to 63.01%. The biomass and microbial activity of the microorganisms on the filter media were in general reduced with increasing filter height, which is consistent with the removal profile of the contaminants. The detected genera Defluviicoccus, Betaproteobacteria_unclassified and the Blastocatella constituted 1.86-6.75% of the identified gene, enhancing the COD and nitrogen removal in BAF for treating petrochemical secondary effluent.
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