3601
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Cao HM, Wang ZY, Zhang GW, Liu CF, Pan CM, Zhao SX, Song ZY, Song HD, Zhang L. Identification of a locus (DSP2) for disseminated superficial porokeratosis at chromosome 12q21.2-24.21. Clin Exp Dermatol 2012; 37:672-6. [PMID: 22680787 DOI: 10.1111/j.1365-2230.2012.04380.x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
Porokeratosis is a rare disorder of epidermal keratinization that is characterized by the presence of a border called the cornoid lamella. Disseminated superficial porokeratosis (DSP) is a subtype of porokeratosis, which is inherited as an autosomal trait. The first locus for DSP was localized to chromosome 18p11.3, but no causative gene has yet been identified. In this study, we recruited and analysed a large six-generation Chinese family with autosomal dominant DSP. The genome-wide screening identified a maximum two-point LOD score of 3.06 at θ = 0.00 with the microsatellite marker D12S78. Fine mapping and haplotype analysis defined a critical region of 38 Mb between D12S326 and D12S79 on chromosome 12q21.2-24.21, which is a probable second locus identified for DSP (DSP2). We sequenced 50 candidate genes in this region, but no causative mutation was found. This study provides a map location for isolation of a gene causing DSP.
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Aaij R, Abellan Beteta C, Adametz A, Adeva B, Adinolfi M, Adrover C, Affolder A, Ajaltouni Z, Albrecht J, Alessio F, Alexander M, Ali S, Alkhazov G, Alvarez Cartelle P, Alves AA, Amato S, Amhis Y, Anderson J, Appleby RB, Aquines Gutierrez O, Archilli F, Artamonov A, Artuso M, Aslanides E, Auriemma G, Bachmann S, Back JJ, Balagura V, Baldini W, Barlow RJ, Barschel C, Barsuk S, Barter W, Bates A, Bauer C, Bauer T, Bay A, Beddow J, Bediaga I, Belogurov S, Belous K, Belyaev I, Ben-Haim E, Benayoun M, Bencivenni G, Benson S, Benton J, Bernet R, Bettler MO, van Beuzekom M, Bien A, Bifani S, Bird T, Bizzeti A, Bjørnstad PM, Blake T, Blanc F, Blanks C, Blouw J, Blusk S, Bobrov A, Bocci V, Bondar A, Bondar N, Bonivento W, Borghi S, Borgia A, Bowcock TJV, Bozzi C, Brambach T, van den Brand J, Bressieux J, Brett D, Britsch M, Britton T, Brook NH, Brown H, Büchler-Germann A, Burducea I, Bursche A, Buytaert J, Cadeddu S, Callot O, Calvi M, Calvo Gomez M, Camboni A, Campana P, Carbone A, Carboni G, Cardinale R, Cardini A, Carson L, Carvalho Akiba K, Casse G, Cattaneo M, Cauet C, Charles M, Charpentier P, Chiapolini N, Chrzaszcz M, Ciba K, Cid Vidal X, Ciezarek G, Clarke PEL, Clemencic M, Cliff HV, Closier J, Coca C, Coco V, Cogan J, Cogneras E, Collins P, Comerma-Montells A, Contu A, Cook A, Coombes M, Corti G, Couturier B, Cowan GA, Currie R, D'Ambrosio C, David P, David PNY, De Bonis I, De Bruyn K, De Capua S, De Cian M, De Miranda JM, De Paula L, De Simone P, Decamp D, Deckenhoff M, Degaudenzi H, Del Buono L, Deplano C, Derkach D, Deschamps O, Dettori F, Dickens J, Dijkstra H, Diniz Batista P, Domingo Bonal F, Donleavy S, Dordei F, Dornan P, Dosil Suárez A, Dossett D, Dovbnya A, Dupertuis F, Dzhelyadin R, Dziurda A, Dzyuba A, Easo S, Egede U, Egorychev V, Eidelman S, van Eijk D, Eisele F, Eisenhardt S, Ekelhof R, Eklund L, Elsasser C, Elsby D, Esperante Pereira D, Falabella A, Färber C, Fardell G, Farinelli C, Farry S, Fave V, Fernandez Albor V, Ferro-Luzzi M, Filippov S, Fitzpatrick C, Fontana M, Fontanelli F, Forty R, Francisco O, Frank M, Frei C, Frosini M, Furcas S, Gallas Torreira A, Galli D, Gandelman M, Gandini P, Gao Y, Garnier JC, Garofoli J, Garra Tico J, Garrido L, Gascon D, Gaspar C, Gauld R, Gauvin N, Gersabeck M, Gershon T, Ghez P, Gibson V, Gligorov VV, Göbel C, Golubkov D, Golutvin A, Gomes A, Gordon H, Grabalosa Gándara M, Graciani Diaz R, Granado Cardoso LA, Graugés E, Graziani G, Grecu A, Greening E, Gregson S, Grünberg O, Gui B, Gushchin E, Guz Y, Gys T, Hadjivasiliou C, Haefeli G, Haen C, Haines SC, Hampson T, Hansmann-Menzemer S, Harnew N, Harrison J, Harrison PF, Hartmann T, He J, Heijne V, Hennessy K, Henrard P, Hernando Morata JA, van Herwijnen E, Hicks E, Holubyev K, Hopchev P, Hulsbergen W, Hunt P, Huse T, Huston RS, Hutchcroft D, Hynds D, Iakovenko V, Ilten P, Imong J, Jacobsson R, Jaeger A, Jahjah Hussein M, Jans E, Jansen F, Jaton P, Jean-Marie B, Jing F, John M, Johnson D, Jones CR, Jost B, Kaballo M, Kandybei S, Karacson M, Karbach TM, Keaveney J, Kenyon IR, Kerzel U, Ketel T, Keune A, Khanji B, Kim YM, Knecht M, Komarov I, Koopman RF, Koppenburg P, Korolev M, Kozlinskiy A, Kravchuk L, Kreplin K, Kreps M, Krocker G, Krokovny P, Kruse F, Kruzelecki K, Kucharczyk M, Kudryavtsev V, Kvaratskheliya T, La Thi VN, Lacarrere D, Lafferty G, Lai A, Lambert D, Lambert RW, Lanciotti E, Lanfranchi G, Langenbruch C, Latham T, Lazzeroni C, Le Gac R, van Leerdam J, Lees JP, Lefèvre R, Leflat A, Lefrançois J, Leroy O, Lesiak T, Li L, Li Y, Li Gioi L, Lieng M, Liles M, Lindner R, Linn C, Liu B, Liu G, von Loeben J, Lopes JH, Lopez Asamar E, Lopez-March N, Lu H, Luisier J, Mac Raighne A, Machefert F, Machikhiliyan IV, Maciuc F, Maev O, Magnin J, Malde S, Mamunur RMD, Manca G, Mancinelli G, Mangiafave N, Marconi U, Märki R, Marks J, Martellotti G, Martens A, Martin L, Martín Sánchez A, Martinelli M, Martinez Santos D, Massafferri A, Mathe Z, Matteuzzi C, Matveev M, Maurice E, Maynard B, Mazurov A, McGregor G, McNulty R, Meissner M, Merk M, Merkel J, Miglioranzi S, Milanes DA, Minard MN, Molina Rodriguez J, Monteil S, Moran D, Morawski P, Mountain R, Mous I, Muheim F, Müller K, Muresan R, Muryn B, Muster B, Mylroie-Smith J, Naik P, Nakada T, Nandakumar R, Nasteva I, Needham M, Neufeld N, Nguyen AD, Nguyen-Mau C, Nicol M, Niess V, Nikitin N, Nikodem T, Nomerotski A, Novoselov A, Oblakowska-Mucha A, Obraztsov V, Oggero S, Ogilvy S, Okhrimenko O, Oldeman R, Orlandea M, Otalora Goicochea JM, Owen P, Pal BK, Palacios J, Palano A, Palutan M, Panman J, Papanestis A, Pappagallo M, Parkes C, Parkinson CJ, Passaleva G, Patel GD, Patel M, Paterson SK, Patrick GN, Patrignani C, Pavel-Nicorescu C, Pazos Alvarez A, Pellegrino A, Penso G, Pepe Altarelli M, Perazzini S, Perego DL, Perez Trigo E, Pérez-Calero Yzquierdo A, Perret P, Perrin-Terrin M, Pessina G, Petrolini A, Phan A, Picatoste Olloqui E, Pie Valls B, Pietrzyk B, Pilař T, Pinci D, Plackett R, Playfer S, Plo Casasus M, Polok G, Poluektov A, Polycarpo E, Popov D, Popovici B, Potterat C, Powell A, Prisciandaro J, Pugatch V, Puig Navarro A, Qian W, Rademacker JH, Rakotomiaramanana B, Rangel MS, Raniuk I, Raven G, Redford S, Reid MM, dos Reis AC, Ricciardi S, Richards A, Rinnert K, Roa Romero DA, Robbe P, Rodrigues E, Rodrigues F, Rodriguez Perez P, Rogers GJ, Roiser S, Romanovsky V, Rosello M, Rouvinet J, Ruf T, Ruiz H, Sabatino G, Saborido Silva JJ, Sagidova N, Sail P, Saitta B, Salzmann C, Sannino M, Santacesaria R, Santamarina Rios C, Santinelli R, Santovetti E, Sapunov M, Sarti A, Satriano C, Satta A, Savrie M, Savrina D, Schaack P, Schiller M, Schindler H, Schleich S, Schlupp M, Schmelling M, Schmidt B, Schneider O, Schopper A, Schune MH, Schwemmer R, Sciascia B, Sciubba A, Seco M, Semennikov A, Senderowska K, Sepp I, Serra N, Serrano J, Seyfert P, Shapkin M, Shapoval I, Shatalov P, Shcheglov Y, Shears T, Shekhtman L, Shevchenko O, Shevchenko V, Shires A, Silva Coutinho R, Skwarnicki T, Smith NA, Smith E, Smith M, Sobczak K, Soler FJP, Solomin A, Soomro F, Souza De Paula B, Spaan B, Sparkes A, Spradlin P, Stagni F, Stahl S, Steinkamp O, Stoica S, Stone S, Storaci B, Straticiuc M, Straumann U, Subbiah VK, Swientek S, Szczekowski M, Szczypka P, Szumlak T, T'Jampens S, Teodorescu E, Teubert F, Thomas C, Thomas E, van Tilburg J, Tisserand V, Tobin M, Tolk S, Topp-Joergensen S, Torr N, Tournefier E, Tourneur S, Tran MT, Tsaregorodtsev A, Tuning N, Ubeda Garcia M, Ukleja A, Uwer U, Vagnoni V, Valenti G, Vazquez Gomez R, Vazquez Regueiro P, Vecchi S, Velthuis JJ, Veltri M, Viaud B, Videau I, Vieira D, Vilasis-Cardona X, Visniakov J, Vollhardt A, Volyanskyy D, Voong D, Vorobyev A, Vorobyev V, Voß C, Voss H, Waldi R, Wallace R, Wandernoth S, Wang J, Ward DR, Watson NK, Webber AD, Websdale D, Whitehead M, Wicht J, Wiedner D, Wiggers L, Wilkinson G, Williams MP, Williams M, Wilson FF, Wishahi J, Witek M, Witzeling W, Wotton SA, Wright S, Wu S, Wyllie K, Xie Y, Xing F, Xing Z, Yang Z, Young R, Yuan X, Yushchenko O, Zangoli M, Zavertyaev M, Zhang F, Zhang L, Zhang WC, Zhang Y, Zhelezov A, Zhong L, Zvyagin A. Strong constraints on the rare decays B(s)(0) → μ+ μ- and B0 → μ+ μ-. PHYSICAL REVIEW LETTERS 2012; 108:231801. [PMID: 23003947 DOI: 10.1103/physrevlett.108.231801] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2012] [Indexed: 06/01/2023]
Abstract
A search for B(s)(0) → μ+ μ- and B0 → μ+ μ decays is performed using 1.0 fb(-1) of pp collision data collected at sqrt[s] = 7 TeV with the LHCb experiment at the Large Hadron Collider. For both decays, the number of observed events is consistent with expectation from background and standard model signal predictions. Upper limits on the branching fractions are determined to be B(B(s)(0) → μ+ μ-) < 4.5(3.8)×10(-9) and B(B0 → μ+ μ-) < 1.0(0.81)×10(-9) at 95% (90%) confidence level.
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3603
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Aaij R, Abellan Beteta C, Adeva B, Adinolfi M, Adrover C, Affolder A, Ajaltouni Z, Albrecht J, Alessio F, Alexander M, Alkhazov G, Alvarez Cartelle P, Alves AA, Amato S, Amhis Y, Anderson J, Appleby RB, Aquines Gutierrez O, Archilli F, Arrabito L, Artamonov A, Artuso M, Aslanides E, Auriemma G, Bachmann S, Back JJ, Bailey DS, Balagura V, Baldini W, Barlow RJ, Barschel C, Barsuk S, Barter W, Bates A, Bauer C, Bauer T, Bay A, Bediaga I, Belogurov S, Belous K, Belyaev I, Ben-Haim E, Benayoun M, Bencivenni G, Benson S, Benton J, Bernet R, Bettler MO, van Beuzekom M, Bien A, Bifani S, Bird T, Bizzeti A, Bjørnstad PM, Blake T, Blanc F, Blanks C, Blouw J, Blusk S, Bobrov A, Bocci V, Bondar A, Bondar N, Bonivento W, Borghi S, Borgia A, Bowcock TJV, Bozzi C, Brambach T, van den Brand J, Bressieux J, Brett D, Britsch M, Britton T, Brook NH, Brown H, de Bruyn K, Büchler-Germann A, Burducea I, Bursche A, Buytaert J, Cadeddu S, Callot O, Calvi M, Calvo Gomez M, Camboni A, Campana P, Carbone A, Carboni G, Cardinale R, Cardini A, Carson L, Carvalho Akiba K, Casse G, Cattaneo M, Cauet C, Charles M, Charpentier P, Chiapolini N, Ciba K, Cid Vidal X, Ciezarek G, Clarke PEL, Clemencic M, Cliff HV, Closier J, Coca C, Coco V, Cogan J, Collins P, Comerma-Montells A, Constantin F, Contu A, Cook A, Coombes M, Corti G, Couturier B, Cowan GA, Currie R, D’Ambrosio C, David P, David PNY, De Bonis I, De Capua S, De Cian M, De Lorenzi F, De Miranda JM, De Paula L, De Simone P, Decamp D, Deckenhoff M, Degaudenzi H, Del Buono L, Deplano C, Derkach D, Deschamps O, Dettori F, Dickens J, Dijkstra H, Diniz Batista P, Domingo Bonal F, Donleavy S, Dordei F, Dosil Suárez A, Dossett D, Dovbnya A, Dupertuis F, Dzhelyadin R, Dziurda A, Easo S, Egede U, Egorychev V, Eidelman S, van Eijk D, Eisele F, Eisenhardt S, Ekelhof R, Eklund L, Elsasser C, Elsby D, Esperante Pereira D, Falabella A, Fanchini E, Färber C, Fardell G, Farinelli C, Farry S, Fave V, Fernandez Albor V, Ferro-Luzzi M, Filippov S, Fitzpatrick C, Fontana M, Fontanelli F, Forty R, Francisco O, Frank M, Frei C, Frosini M, Furcas S, Gallas Torreira A, Galli D, Gandelman M, Gandini P, Gao Y, Garnier JC, Garofoli J, Garra Tico J, Garrido L, Gascon D, Gaspar C, Gauld R, Gauvin N, Gersabeck M, Gershon T, Ghez P, Gibson V, Gligorov VV, Göbel C, Golubkov D, Golutvin A, Gomes A, Gordon H, Grabalosa Gándara M, Graciani Diaz R, Granado Cardoso LA, Graugés E, Graziani G, Grecu A, Greening E, Gregson S, Gui B, Gushchin E, Guz Y, Gys T, Hadjivasiliou C, Haefeli G, Haen C, Haines SC, Hampson T, Hansmann-Menzemer S, Harji R, Harnew N, Harrison J, Harrison PF, Hartmann T, He J, Heijne V, Hennessy K, Henrard P, Hernando Morata JA, van Herwijnen E, Hicks E, Holubyev K, Hopchev P, Hulsbergen W, Hunt P, Huse T, Huston RS, Hutchcroft D, Hynds D, Iakovenko V, Ilten P, Imong J, Jacobsson R, Jaeger A, Jahjah Hussein M, Jans E, Jansen F, Jaton P, Jean-Marie B, Jing F, John M, Johnson D, Jones CR, Jost B, Kaballo M, Kandybei S, Karacson M, Karbach TM, Keaveney J, Kenyon IR, Kerzel U, Ketel T, Keune A, Khanji B, Kim YM, Knecht M, Koopman RF, Koppenburg P, Korolev M, Kozlinskiy A, Kravchuk L, Kreplin K, Kreps M, Krocker G, Krokovny P, Kruse F, Kruzelecki K, Kucharczyk M, Kvaratskheliya T, La Thi VN, Lacarrere D, Lafferty G, Lai A, Lambert D, Lambert RW, Lanciotti E, Lanfranchi G, Langenbruch C, Latham T, Lazzeroni C, Le Gac R, van Leerdam J, Lees JP, Lefèvre R, Leflat A, Lefrançois J, Leroy O, Lesiak T, Li L, Li Gioi L, Lieng M, Liles M, Lindner R, Linn C, Liu B, Liu G, von Loeben J, Lopes JH, Lopez Asamar E, Lopez-March N, Lu H, Luisier J, Mac Raighne A, Machefert F, Machikhiliyan IV, Maciuc F, Maev O, Magnin J, Malde S, Mamunur RMD, Manca G, Mancinelli G, Mangiafave N, Marconi U, Märki R, Marks J, Martellotti G, Martens A, Martin L, Martín Sánchez A, Martinez Santos D, Massafferri A, Mathe Z, Matteuzzi C, Matveev M, Maurice E, Maynard B, Mazurov A, McGregor G, McNulty R, Meissner M, Merk M, Merkel J, Messi R, Miglioranzi S, Milanes DA, Minard MN, Molina Rodriguez J, Monteil S, Moran D, Morawski P, Mountain R, Mous I, Muheim F, Müller K, Muresan R, Muryn B, Muster B, Musy M, Mylroie-Smith J, Naik P, Nakada T, Nandakumar R, Nasteva I, Nedos M, Needham M, Neufeld N, Nguyen AD, Nguyen-Mau C, Nicol M, Niess V, Nikitin N, Nomerotski A, Novoselov A, Oblakowska-Mucha A, Obraztsov V, Oggero S, Ogilvy S, Okhrimenko O, Oldeman R, Orlandea M, Otalora Goicochea JM, Owen P, Pal K, Palacios J, Palano A, Palutan M, Panman J, Papanestis A, Pappagallo M, Parkes C, Parkinson CJ, Passaleva G, Patel GD, Patel M, Paterson SK, Patrick GN, Patrignani C, Pavel-Nicorescu C, Pazos Alvarez A, Pellegrino A, Penso G, Pepe Altarelli M, Perazzini S, Perego DL, Perez Trigo E, Pérez-Calero Yzquierdo A, Perret P, Perrin-Terrin M, Pessina G, Petrella A, Petrolini A, Phan A, Picatoste Olloqui E, Pie Valls B, Pietrzyk B, Pilař T, Pinci D, Plackett R, Playfer S, Plo Casasus M, Polok G, Poluektov A, Polycarpo E, Popov D, Popovici B, Potterat C, Powell A, Prisciandaro J, Pugatch V, Puig Navarro A, Qian W, Rademacker JH, Rakotomiaramanana B, Rangel MS, Raniuk I, Raven G, Redford S, Reid MM, dos Reis AC, Ricciardi S, Richards A, Rinnert K, Roa Romero DA, Robbe P, Rodrigues E, Rodrigues F, Rodriguez Perez P, Rogers GJ, Roiser S, Romanovsky V, Rosello M, Rouvinet J, Ruf T, Ruiz H, Sabatino G, Saborido Silva JJ, Sagidova N, Sail P, Saitta B, Salzmann C, Sannino M, Santacesaria R, Santamarina Rios C, Santinelli R, Santovetti E, Sapunov M, Sarti A, Satriano C, Satta A, Savrie M, Savrina D, Schaack P, Schiller M, Schleich S, Schlupp M, Schmelling M, Schmidt B, Schneider O, Schopper A, Schune MH, Schwemmer R, Sciascia B, Sciubba A, Seco M, Semennikov A, Senderowska K, Sepp I, Serra N, Serrano J, Seyfert P, Shapkin M, Shapoval I, Shatalov P, Shcheglov Y, Shears T, Shekhtman L, Shevchenko O, Shevchenko V, Shires A, Silva Coutinho R, Skwarnicki T, Smith NA, Smith E, Sobczak K, Soler FJP, Solomin A, Soomro F, Souza De Paula B, Spaan B, Sparkes A, Spradlin P, Stagni F, Stahl S, Steinkamp O, Stoica S, Stone S, Storaci B, Straticiuc M, Straumann U, Subbiah VK, Swientek S, Szczekowski M, Szczypka P, Szumlak T, T’Jampens S, Teodorescu E, Teubert F, Thomas C, Thomas E, van Tilburg J, Tisserand V, Tobin M, Topp-Joergensen S, Torr N, Tournefier E, Tourneur S, Tran MT, Tsaregorodtsev A, Tuning N, Ubeda Garcia M, Ukleja A, Urquijo P, Uwer U, Vagnoni V, Valenti G, Vazquez Gomez R, Vazquez Regueiro P, Vecchi S, Velthuis JJ, Veltri M, Viaud B, Videau I, Vieira D, Vilasis-Cardona X, Visniakov J, Vollhardt A, Volyanskyy D, Voong D, Vorobyev A, Voss H, Wandernoth S, Wang J, Ward DR, Watson NK, Webber AD, Websdale D, Whitehead M, Wiedner D, Wiggers L, Wilkinson G, Williams MP, Williams M, Wilson FF, Wishahi J, Witek M, Witzeling W, Wotton SA, Wyllie K, Xie Y, Xing F, Xing Z, Yang Z, Young R, Yushchenko O, Zangoli M, Zavertyaev M, Zhang F, Zhang L, Zhang WC, Zhang Y, Zhelezov A, Zhong L, Zvyagin A. Opposite-side flavour tagging of B mesons at the LHCb experiment. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2012; 72:2022. [PMID: 25814835 PMCID: PMC4371096 DOI: 10.1140/epjc/s10052-012-2022-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2012] [Revised: 04/26/2012] [Indexed: 05/28/2023]
Abstract
The calibration and performance of the opposite-side flavour tagging algorithms used for the measurements of time-dependent asymmetries at the LHCb experiment are described. The algorithms have been developed using simulated events and optimized and calibrated with B+→J/ψK+, B0→J/ψK∗0 and B0→D∗-μ+νμ decay modes with 0.37 fb-1 of data collected in pp collisions at [Formula: see text] during the 2011 physics run. The opposite-side tagging power is determined in the B+→J/ψK+ channel to be (2.10±0.08±0.24) %, where the first uncertainty is statistical and the second is systematic.
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3604
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Aaij R, Abellan Beteta C, Adeva B, Adinolfi M, Adrover C, Affolder A, Ajaltouni Z, Albrecht J, Alessio F, Alexander M, Alkhazov G, Alvarez Cartelle P, Alves AA, Amato S, Amhis Y, Anderson J, Appleby RB, Aquines Gutierrez O, Archilli F, Arrabito L, Artamonov A, Artuso M, Aslanides E, Auriemma G, Bachmann S, Back JJ, Bailey DS, Balagura V, Baldini W, Barlow RJ, Barschel C, Barsuk S, Barter W, Bates A, Bauer C, Bauer T, Bay A, Bediaga I, Belogurov S, Belous K, Belyaev I, Ben-Haim E, Benayoun M, Bencivenni G, Benson S, Benton J, Bernet R, Bettler MO, van Beuzekom M, Bien A, Bifani S, Bird T, Bizzeti A, Bjørnstad PM, Blake T, Blanc F, Blanks C, Blouw J, Blusk S, Bobrov A, Bocci V, Bondar A, Bondar N, Bonivento W, Borghi S, Borgia A, Bowcock TJV, Bozzi C, Brambach T, van den Brand J, Bressieux J, Brett D, Britsch M, Britton T, Brook NH, Brown H, de Bruyn K, Büchler-Germann A, Burducea I, Bursche A, Buytaert J, Cadeddu S, Callot O, Calvi M, Calvo Gomez M, Camboni A, Campana P, Carbone A, Carboni G, Cardinale R, Cardini A, Carson L, Carvalho Akiba K, Casse G, Cattaneo M, Cauet C, Charles M, Charpentier P, Chiapolini N, Ciba K, Cid Vidal X, Ciezarek G, Clarke PEL, Clemencic M, Cliff HV, Closier J, Coca C, Coco V, Cogan J, Collins P, Comerma-Montells A, Constantin F, Contu A, Cook A, Coombes M, Corti G, Couturier B, Cowan GA, Currie R, D’Ambrosio C, David P, David PNY, De Bonis I, De Capua S, De Cian M, De Lorenzi F, De Miranda JM, De Paula L, De Simone P, Decamp D, Deckenhoff M, Degaudenzi H, Del Buono L, Deplano C, Derkach D, Deschamps O, Dettori F, Dickens J, Dijkstra H, Diniz Batista P, Domingo Bonal F, Donleavy S, Dordei F, Dosil Suárez A, Dossett D, Dovbnya A, Dupertuis F, Dzhelyadin R, Dziurda A, Easo S, Egede U, Egorychev V, Eidelman S, van Eijk D, Eisele F, Eisenhardt S, Ekelhof R, Eklund L, Elsasser C, Elsby D, Esperante Pereira D, Falabella A, Fanchini E, Färber C, Fardell G, Farinelli C, Farry S, Fave V, Fernandez Albor V, Ferro-Luzzi M, Filippov S, Fitzpatrick C, Fontana M, Fontanelli F, Forty R, Francisco O, Frank M, Frei C, Frosini M, Furcas S, Gallas Torreira A, Galli D, Gandelman M, Gandini P, Gao Y, Garnier JC, Garofoli J, Garra Tico J, Garrido L, Gascon D, Gaspar C, Gauld R, Gauvin N, Gersabeck M, Gershon T, Ghez P, Gibson V, Gligorov VV, Göbel C, Golubkov D, Golutvin A, Gomes A, Gordon H, Grabalosa Gándara M, Graciani Diaz R, Granado Cardoso LA, Graugés E, Graziani G, Grecu A, Greening E, Gregson S, Gui B, Gushchin E, Guz Y, Gys T, Hadjivasiliou C, Haefeli G, Haen C, Haines SC, Hampson T, Hansmann-Menzemer S, Harji R, Harnew N, Harrison J, Harrison PF, Hartmann T, He J, Heijne V, Hennessy K, Henrard P, Hernando Morata JA, van Herwijnen E, Hicks E, Holubyev K, Hopchev P, Hulsbergen W, Hunt P, Huse T, Huston RS, Hutchcroft D, Hynds D, Iakovenko V, Ilten P, Imong J, Jacobsson R, Jaeger A, Jahjah Hussein M, Jans E, Jansen F, Jaton P, Jean-Marie B, Jing F, John M, Johnson D, Jones CR, Jost B, Kaballo M, Kandybei S, Karacson M, Karbach TM, Keaveney J, Kenyon IR, Kerzel U, Ketel T, Keune A, Khanji B, Kim YM, Knecht M, Koopman RF, Koppenburg P, Korolev M, Kozlinskiy A, Kravchuk L, Kreplin K, Kreps M, Krocker G, Krokovny P, Kruse F, Kruzelecki K, Kucharczyk M, Kvaratskheliya T, La Thi VN, Lacarrere D, Lafferty G, Lai A, Lambert D, Lambert RW, Lanciotti E, Lanfranchi G, Langenbruch C, Latham T, Lazzeroni C, Le Gac R, van Leerdam J, Lees JP, Lefèvre R, Leflat A, Lefrançois J, Leroy O, Lesiak T, Li L, Li Gioi L, Lieng M, Liles M, Lindner R, Linn C, Liu B, Liu G, von Loeben J, Lopes JH, Lopez Asamar E, Lopez-March N, Lu H, Luisier J, Mac Raighne A, Machefert F, Machikhiliyan IV, Maciuc F, Maev O, Magnin J, Malde S, Mamunur RMD, Manca G, Mancinelli G, Mangiafave N, Marconi U, Märki R, Marks J, Martellotti G, Martens A, Martin L, Martín Sánchez A, Martinez Santos D, Massafferri A, Mathe Z, Matteuzzi C, Matveev M, Maurice E, Maynard B, Mazurov A, McGregor G, McNulty R, Meissner M, Merk M, Merkel J, Messi R, Miglioranzi S, Milanes DA, Minard MN, Molina Rodriguez J, Monteil S, Moran D, Morawski P, Mountain R, Mous I, Muheim F, Müller K, Muresan R, Muryn B, Muster B, Musy M, Mylroie-Smith J, Naik P, Nakada T, Nandakumar R, Nasteva I, Nedos M, Needham M, Neufeld N, Nguyen AD, Nguyen-Mau C, Nicol M, Niess V, Nikitin N, Nomerotski A, Novoselov A, Oblakowska-Mucha A, Obraztsov V, Oggero S, Ogilvy S, Okhrimenko O, Oldeman R, Orlandea M, Otalora Goicochea JM, Owen P, Pal K, Palacios J, Palano A, Palutan M, Panman J, Papanestis A, Pappagallo M, Parkes C, Parkinson CJ, Passaleva G, Patel GD, Patel M, Paterson SK, Patrick GN, Patrignani C, Pavel-Nicorescu C, Pazos Alvarez A, Pellegrino A, Penso G, Pepe Altarelli M, Perazzini S, Perego DL, Perez Trigo E, Pérez-Calero Yzquierdo A, Perret P, Perrin-Terrin M, Pessina G, Petrella A, Petrolini A, Phan A, Picatoste Olloqui E, Pie Valls B, Pietrzyk B, Pilař T, Pinci D, Plackett R, Playfer S, Plo Casasus M, Polok G, Poluektov A, Polycarpo E, Popov D, Popovici B, Potterat C, Powell A, Prisciandaro J, Pugatch V, Puig Navarro A, Qian W, Rademacker JH, Rakotomiaramanana B, Rangel MS, Raniuk I, Raven G, Redford S, Reid MM, dos Reis AC, Ricciardi S, Richards A, Rinnert K, Roa Romero DA, Robbe P, Rodrigues E, Rodrigues F, Rodriguez Perez P, Rogers GJ, Roiser S, Romanovsky V, Rosello M, Rouvinet J, Ruf T, Ruiz H, Sabatino G, Saborido Silva JJ, Sagidova N, Sail P, Saitta B, Salzmann C, Sannino M, Santacesaria R, Santamarina Rios C, Santinelli R, Santovetti E, Sapunov M, Sarti A, Satriano C, Satta A, Savrie M, Savrina D, Schaack P, Schiller M, Schleich S, Schlupp M, Schmelling M, Schmidt B, Schneider O, Schopper A, Schune MH, Schwemmer R, Sciascia B, Sciubba A, Seco M, Semennikov A, Senderowska K, Sepp I, Serra N, Serrano J, Seyfert P, Shapkin M, Shapoval I, Shatalov P, Shcheglov Y, Shears T, Shekhtman L, Shevchenko O, Shevchenko V, Shires A, Silva Coutinho R, Skwarnicki T, Smith NA, Smith E, Sobczak K, Soler FJP, Solomin A, Soomro F, Souza De Paula B, Spaan B, Sparkes A, Spradlin P, Stagni F, Stahl S, Steinkamp O, Stoica S, Stone S, Storaci B, Straticiuc M, Straumann U, Subbiah VK, Swientek S, Szczekowski M, Szczypka P, Szumlak T, T’Jampens S, Teodorescu E, Teubert F, Thomas C, Thomas E, van Tilburg J, Tisserand V, Tobin M, Topp-Joergensen S, Torr N, Tournefier E, Tourneur S, Tran MT, Tsaregorodtsev A, Tuning N, Ubeda Garcia M, Ukleja A, Urquijo P, Uwer U, Vagnoni V, Valenti G, Vazquez Gomez R, Vazquez Regueiro P, Vecchi S, Velthuis JJ, Veltri M, Viaud B, Videau I, Vieira D, Vilasis-Cardona X, Visniakov J, Vollhardt A, Volyanskyy D, Voong D, Vorobyev A, Voss H, Wandernoth S, Wang J, Ward DR, Watson NK, Webber AD, Websdale D, Whitehead M, Wiedner D, Wiggers L, Wilkinson G, Williams MP, Williams M, Wilson FF, Wishahi J, Witek M, Witzeling W, Wotton SA, Wyllie K, Xie Y, Xing F, Xing Z, Yang Z, Young R, Yushchenko O, Zangoli M, Zavertyaev M, Zhang F, Zhang L, Zhang WC, Zhang Y, Zhelezov A, Zhong L, Zvyagin A. Measurement of ϒ production in pp collisions at [Formula: see text]. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2012; 72:2025. [PMID: 25814836 PMCID: PMC4370820 DOI: 10.1140/epjc/s10052-012-2025-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/29/2012] [Revised: 04/20/2012] [Indexed: 05/28/2023]
Abstract
The production of ϒ(1S), ϒ(2S) and ϒ(3S) mesons in proton-proton collisions at the centre-of-mass energy of [Formula: see text] is studied with the LHCb detector. The analysis is based on a data sample of 25 pb-1 collected at the Large Hadron Collider. The ϒ mesons are reconstructed in the decay mode ϒ→μ+μ- and the signal yields are extracted from a fit to the μ+μ- invariant mass distributions. The differential production cross-sections times dimuon branching fractions are measured as a function of the ϒ transverse momentum pT and rapidity y, over the range pT <15 GeV/c and 2.0
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Zhang L, Li LL, Liu NJ, Chen HL, Pan ZR, Lue SJ. Pervaporation behavior of PVA membrane containing β-cyclodextrin for separating xylene isomeric mixtures. AIChE J 2012. [DOI: 10.1002/aic.13835] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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3606
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Li H, Zhang L, Balter P, Dong L, Gillin M, Zhu X. SU-E-J-29: Evaluation of Effectiveness of Immobilization Devices for Radiation Therapy with Repeated CBCT Studies. Med Phys 2012; 39:3658. [DOI: 10.1118/1.4734862] [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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3607
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Zhang Y, Yang J, Zhang L, Court L, Balter P, Dong L. TH-E-218-05: Prediction of Respiratory Motion from Single Daily 3D Image Using Prior Model of Motion and Anatomic Variations. Med Phys 2012. [DOI: 10.1118/1.4736391] [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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Ablikim M, Achasov MN, Alberto D, Ambrose DJ, An FF, An Q, An ZH, Bai JZ, Ferroli RB, Ban Y, Becker J, Berger N, Bertani MB, Bian JM, Boger E, Bondarenko O, Boyko I, Briere RA, Bytev V, Cai X, Calcaterra AC, Cao GF, Chang JF, Chelkov G, Chen G, Chen HS, Chen HX, Chen JC, Chen ML, Chen SJ, Chen Y, Chen YB, Cheng HP, Chu YP, Cronin-Hennessy D, Dai HL, Dai JP, Dedovich D, Deng ZY, Denysenko I, Destefanis M, Ding WL, Ding Y, Dong LY, Dong MY, Du SX, Fang J, Fang SS, Feng CQ, Fu CD, Fu JL, Gao Y, Geng C, Goetzen K, Gong WX, Greco M, Gu MH, Gu YT, Guan YH, Guo AQ, Guo LB, Guo YP, Han YL, Hao XQ, Harris FA, He KL, He M, He ZY, Heng YK, Hou ZL, Hu HM, Hu JF, Hu T, Huang B, Huang GM, Huang JS, Huang XT, Huang YP, Hussain T, Ji CS, Ji Q, Ji XB, Ji XL, Jia LK, Jiang LL, Jiang XS, Jiao JB, Jiao Z, Jin DP, Jin S, Jing FF, Kalantar-Nayestanaki N, Kavatsyuk M, Kuehn W, Lai W, Lange JS, Leung JKC, Li CH, Li C, Li C, Li DM, Li F, Li G, Li HB, Li JC, Li K, Li L, Li NB, Li QJ, Li SL, Li WD, Li WG, Li XL, Li XN, Li XQ, Li XR, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Liao XT, Liu BJ, Liu CL, Liu CX, Liu CY, Liu FH, Liu F, Liu F, Liu H, Liu HB, Liu HH, Liu HM, Liu HW, Liu JP, Liu K, Liu K, Liu KY, Liu Q, Liu SB, Liu X, Liu XH, Liu YB, Liu Y, Liu ZA, Liu Z, Liu Z, Loehner H, Lu GR, Lu HJ, Lu JG, Lu QW, Lu XR, Lu YP, Luo CL, Luo MX, Luo T, Luo XL, Lv M, Ma CL, Ma FC, Ma HL, Ma QM, Ma S, Ma T, Ma XY, Maggiora M, Malik QA, Mao H, Mao YJ, Mao ZP, Messchendorp JG, Min J, Min TJ, Mitchell RE, Mo XH, Muchnoi NY, Nefedov Y, Nikolaev IB, Ning Z, Olsen SL, Ouyang Q, Pacetti SP, Park JW, Pelizaeus M, Peters K, Ping JL, Ping RG, Poling R, Pun CSJ, Qi M, Qian S, Qiao CF, Qin XS, Qiu JF, Rashid KH, Rong G, Ruan XD, Sarantsev A, Schulze J, Shao M, Shen CP, Shen XY, Sheng HY, Shepherd MR, Song XY, Spataro S, Spruck B, Sun DH, Sun GX, Sun JF, Sun SS, Sun XD, Sun YJ, Sun YZ, Sun ZJ, Sun ZT, Tang CJ, Tang X, Thorndike EH, Tian HL, Toth D, Varner GS, Wang B, Wang BQ, Wang K, Wang LL, Wang LL, Wang LS, Wang M, Wang P, Wang PL, Wang Q, Wang QJ, Wang SG, Wang XF, Wang XL, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZY, Wei DH, Wen QG, Wen SP, Wiedner U, Wu LH, Wu N, Wu W, Wu Z, Xiao ZJ, Xie YG, Xiu QL, Xu GF, Xu GM, Xu H, Xu QJ, Xu XP, Xu Y, Xu ZR, Xue Z, Yan L, Yan WB, Yan YH, Yang HX, Yang T, Yang Y, Yang YX, Ye H, Ye M, Ye MH, Yu BX, Yu CX, Yu SP, Yuan CZ, Yuan WL, Yuan Y, Zafar AA, Zallo AZ, Zeng Y, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang L, Zhang SH, Zhang TR, Zhang XJ, Zhang XY, Zhang Y, Zhang YH, Zhang YS, Zhang ZP, Zhang ZY, Zhao G, Zhao HS, Zhao J, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao XH, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zheng ZP, Zhong B, Zhong J, Zhou L, Zhou XK, Zhou XR, Zhu C, Zhu K, Zhu KJ, Zhu SH, Zhu XL, Zhu XW, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH, Zuo JX. Measurements of the mass and width of the η(c) using the decay ψ(3686)→γη(c). PHYSICAL REVIEW LETTERS 2012; 108:222002. [PMID: 23003588 DOI: 10.1103/physrevlett.108.222002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2011] [Indexed: 06/01/2023]
Abstract
The mass and width of the lowest-lying S-wave spin singlet charmonium state, the η(c), are measured using a data sample of 1.06×10(8) ψ(3686) decays collected with the BESIII detector at the BEPCII storage ring. We use a model that incorporates full interference between the signal reaction, ψ(3686)→γη(c), and a nonresonant radiative background to describe the line shape of the η(c) successfully. We measure the η(c) mass to be 2984.3±0.6±0.6 MeV/c(2) and the total width to be 32.0±1.2±1.0 MeV, where the first errors are statistical and the second are systematic.
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Adelman ZN, Anderson MAE, Liu M, Zhang L, Myles KM. Sindbis virus induces the production of a novel class of endogenous siRNAs in Aedes aegypti mosquitoes. INSECT MOLECULAR BIOLOGY 2012; 21:357-68. [PMID: 22458920 PMCID: PMC3386798 DOI: 10.1111/j.1365-2583.2012.01141.x] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
Small RNA regulatory pathways are used to control the activity of transposons, regulate gene expression and resist infecting viruses. We examined the biogenesis of mRNA-derived endogenous short-interfering RNAs (endo-siRNAs) in the disease vector mosquito Aedes aegypti. Under standard conditions, mRNA-derived endo-siRNAs were produced from the bidirectional transcription of tail-tail overlapping gene pairs. Upon infection with the alphavirus, Sindbis virus (SINV), another class of mRNA-derived endo-siRNAs was observed. Genes producing SINV-induced endo-siRNAs were not enriched for overlapping partners or nearby genes, but were enriched for transcripts with long 3' untranslated regions. Endo-siRNAs from this class derived uniformly from the entire length of the target transcript, and were found to regulate the transcript levels of the genes from which they were derived. Strand-specific quantitative PCR experiments demonstrated that antisense strands of targeted mRNA genes were produced to exonic, but not intronic regions. Finally, small RNAs mapped to both sense and antisense strands of exon-exon junctions, suggesting double-stranded RNA precursors to SINV-induced endo-siRNAs may be synthesized from mature mRNA templates. These results suggest additional complexity in small RNA pathways and gene regulation in the presence of an infecting virus in disease vector mosquitoes.
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Carroll M, Cheung J, Zhang L, Court L. SU-E-T-560: Inter- and Intra-Fraction Variations in Esophageal Dose for Lung Cancer Patients, and the Impact of Setup Technique and Treatment Modality. Med Phys 2012; 39:3834. [DOI: 10.1118/1.4735649] [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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Zhang L, Zhang J, Wu Z, Jia G. Myxoma of Cranial Base: Study of 23 Cases. Skull Base Surg 2012. [DOI: 10.1055/s-0032-1314110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Chen Y, Zhang L, Court L, Liao Z, Zhu X, Mohan R, Dong L. SU-E-T-394: Comparison of Planned Dose Distribution Vs. Delivered Dose Distribution for Both IMRT and Proton Therapy Using Weekly Repeat 4DCT Data Sets. Med Phys 2012; 39:3795. [PMID: 28517186 DOI: 10.1118/1.4735483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
PURPOSE To evaluate treatment deviations and the impact of treatment modality in the presence of breathing motion and anatomical changes during the course of lung cancer radiotherapy. METHODS Two non-small cell lung cancer patients were enrolled in a randomized clinical trial to compare IMRT and proton therapy. To rigorously evaluate the impact of motion and anatomical changes, we used a '5D' dose accumulation approach to sum dose distributions from phase-to-phase and week-to-week to the reference (end-expiration) phase of the original planning 4DCT data set. Six to eight weekly 4DCT data sets that consisted of 10 breathing phases were acquired during the treatment course. The original plan was re-calculated for each phase and deformably mapped to the reference phase to compare the 'delivered' dose distribution with the planned dose distribution of both the IMRT plan and the proton plan for each patient. DVHs derived from delivered dose distribution were compared to that from the planned dose distribution. RESULTS The delivered dose showed 3% and 2% increase in the dose to the CTV for IMRT and proton plan respectively. Target coverage remained acceptable despite tumor shrinkage from 29% to 49%. The doses to normal structures, such as lung and heart, increased more in the proton plan than in the IMRT plan. The V20 of the total lung volume increased by 4% and 6% from the delivered dose compared to the planned dose for IMRT and proton plan, respectively. CONCLUSIONS The results showed sufficient target coverage was maintained for both modalities. Increases in lung dose were observed in both modalities, but more in the proton arm, perhaps due to weight loss and tumor shrinkage. Adaptive proton therapy strategy is recommended to minimize normal tissue doses. Supported in part by NCI P01 CA021239-29A1.
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Zhang J, Wu Z, Zhang L, Jia G, Tang J, Xiao X, Geng S. Microsurgical Treatment and Classification of Petroclival Meningiomas: Experiences in 471 Patients at a Single Institute for 18 Years. Skull Base Surg 2012. [DOI: 10.1055/s-0032-1314222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Hunter L, Chen Y, Zhang L, Liao Z, Dong L, Court L. SU-E-J-186: CT Textures Can be Predictive for Tumor Shrinkage. Med Phys 2012; 39:3695. [PMID: 28519020 DOI: 10.1118/1.4735027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
PURPOSE To determine if NSCLC GTV CT textures can be predictive for tumor shrinkage after proton therapy with concurrent chemotherapy. METHODS Simulation and weekly 4DCTs were obtained from 25 patients with locally advanced NSCLC treated by proton therapy at a 74 Gy dose level with concurrent chemotherapy. In-house deformable image registration software based on the demons algorithm propagated the physician-generated planning GTV onto each weekly image set. GTV soft tissue volumes were then extracted from CT images by in-house software which pruned out voxels below a cutoff HU threshold. Patients whose normalized end-treatment pruned GTV was less than the group median were classified as 'strong responders.'The remaining patients were classified as 'weak responders.' For each pruned GTV, the MaZda texture analysis software generated quantitative 3D texture features based on the image histogram, absolute gradient, co-occurrence matrix, and run-length matrix. Using the Fisher coefficient, a subset of these texture features that were relevant to distinguishing the two response groups was obtained. In-house software and MaZda were then used to perform neural network data classification with leave-one-out cross-validation based on this texture feature subset. The true positive rate (TPR), false positive rate (FPR), classification accuracy, and one-sided p-values were recorded. RESULTS Six classification models were tested. Each model had a unique combination of feature extraction and analysis parameters. Taking 'strong responders' to be the 'positive' class, the average TPR was 0.66 (0.60 - 0.75), the average FPR was 0.36 (0.31 - 0.40), the average classification accuracy was 64.8% (60.0% - 68.0%), and the average one-sided p-value was 0.118 (0.055 - 0.215). CONCLUSIONS There is some evidence showing that NSCLC GTV CT textures can be predictive for tumor shrinkage after proton therapy. Further work should be done to include more patients, texture metrics, and data analysis techniques. The presenting author receives funding support from a Hertz Foundation Applied Science Fellowship.
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Zhang J, Tang J, Wu Z, Zhang L, Jia G, Xiao X, Zhou D. Microsurgical Treatment for Non-Glomus Tumor of Jugular Foreman. Skull Base Surg 2012. [DOI: 10.1055/s-0032-1314301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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3616
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Yock A, Zhang L, Court L, Garden A, Dong L. TH-A-BRA-06: Optimal PTV Margin Expansions along Six Anatomic Directions in Oropharyngeal IGRT. Med Phys 2012. [DOI: 10.1118/1.4736255] [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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3617
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Xu LY, Zhao FP, Sheng XH, Ren HX, Zhang L, Wei CH, Du LX. Optimal Design for Marker-assisted Gene Pyramiding in Cross Population. ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES 2012; 25:772-84. [PMID: 25049625 PMCID: PMC4093085 DOI: 10.5713/ajas.2011.11239] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/23/2011] [Revised: 11/07/2011] [Accepted: 10/13/2011] [Indexed: 11/27/2022]
Abstract
Marker-assisted gene pyramiding aims to produce individuals with superior economic traits according to the optimal breeding scheme which involves selecting a series of favorite target alleles after cross of base populations and pyramiding them into a single genotype. Inspired by the science of evolutionary computation, we used the metaphor of hill-climbing to model the dynamic behavior of gene pyramiding. In consideration of the traditional cross program of animals along with the features of animal segregating populations, four types of cross programs and two types of selection strategies for gene pyramiding are performed from a practical perspective. Two population cross for pyramiding two genes (denoted II), three population cascading cross for pyramiding three genes(denoted III), four population symmetry (denoted IIII-S) and cascading cross for pyramiding four genes (denoted IIII-C), and various schemes (denoted cross program-A–E) are designed for each cross program given different levels of initial favorite allele frequencies, base population sizes and trait heritabilities. The process of gene pyramiding breeding for various schemes are simulated and compared based on the population hamming distance, average superior genotype frequencies and average phenotypic values. By simulation, the results show that the larger base population size and the higher the initial favorite allele frequency the higher the efficiency of gene pyramiding. Parents cross order is shown to be the most important factor in a cascading cross, but has no significant influence on the symmetric cross. The results also show that genotypic selection strategy is superior to phenotypic selection in accelerating gene pyramiding. Moreover, the method and corresponding software was used to compare different cross schemes and selection strategies.
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Zhang L, Court L, Balter P, Dong L. SU-E-J-52: Validation of 3D Structure Projection Onto 2D DRR in Commercial Treatment Planning Systems. Med Phys 2012; 39:3664. [PMID: 28517582 DOI: 10.1118/1.4734887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
PURPOSE The use of structure overlay on setup DRRs can aid the image alignment procedure for daily image-guided setup procedures. However, the accuracy of a 3D region-of-interest (ROI) projected on a 2D digitally reconstructed radiograph (DRR) has rarely been evaluated quantitatively. The goal of this study is to test the accuracy of two commercial treatment planning systems (TPS) in producing overlay structures on setup DRRs. METHOD AND MATERIALS We designed a novel method to identify landmarks which were on the boundary of the projected ROI on a DRR. The 3D ROIvolume is composed of a stack of 2D curves. We first mathematically project each 2D curve onto a beams-eye-view (BEV) plane. Next, we detectthe boundary points of the projected curves. Those boundary points serve aslandmarks. Finally, we project the binary mask of the 3D ROI volume using ray tracing method onto the BEV plane. This projected binary mask is used to exclude the false landmarks. Once those landmarks are detected, wecompute the distance between the landmarks and ROI outlines from the TPS. RESULTS We applied our validation method to 13 ROIs from a lung patient and 4 simulated ROIs on 2 BEV DRRs for two different TPS (Eclipse and Pinnacle). Average distance between the landmarks and ROIoutlines was 0.5mm for both Eclipse and Pinnacle approaches, which is close to the pixel resolution of the DRR. The maximum distance andaverage maximum distance was 2mm and 1 mm, respectively, for both TPS.The maximum distance occurred at points where the ROI curve has a sharpchange between slices. CONCLUSION The accuracy of Eclipse and Pinnacle ROI projection method seems to be acceptable to within 1mm althoughprojection error can be as large as 2mm when structure shape has a sharp variation from one slice to the next.
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3619
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Wu Z, Zhang J, Zhang L, Jia G, Tang J, Xiao X. Microsurgical Treatment for Trigeminal Schwannoma. Skull Base Surg 2012. [DOI: 10.1055/s-0032-1314270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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3620
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Zhang L, Lan Q, Ji Z, Li G, Shen M, Vermeulen R, Guo W, Hubbard AE, McHale CM, Rappaport SM, Hayes RB, Linet MS, Yin S, Smith MT, Rothman N. Leukemia-related chromosomal loss detected in hematopoietic progenitor cells of benzene-exposed workers. Leukemia 2012; 26:2494-8. [PMID: 22643707 PMCID: PMC3472034 DOI: 10.1038/leu.2012.143] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Benzene exposure causes acute myeloid leukemia and hematotoxicity, shown as suppression of mature blood and myeloid progenitor cell numbers. As the leukemia-related aneuploidies monosomy 7 and trisomy 8 previously had been detected in the mature peripheral blood cells of exposed workers, we hypothesized that benzene could cause leukemia through the induction of these aneuploidies in hematopoietic stem and progenitor cells. We measured loss and gain of chromosomes 7 and 8 by fluorescence in situ hybridization in interphase colony-forming unit-granulocyte-macrophage (CFU-GM) cells cultured from otherwise healthy benzene-exposed (n=28) and unexposed (n=14) workers. CFU-GM monosomy 7 and 8 levels (but not trisomy) were significantly increased in subjects exposed to benzene overall, compared with levels in the control subjects (P=0.0055 and P=0.0034, respectively). Levels of monosomy 7 and 8 were significantly increased in subjects exposed to <10 p.p.m. (20%, P=0.0419 and 28%, P=0.0056, respectively) and ≥ 10 p.p.m. (48%, P=0.0045 and 32%, 0.0354) benzene, compared with controls, and significant exposure-response trends were detected (P(trend)=0.0033 and 0.0057). These data show that monosomies 7 and 8 are produced in a dose-dependent manner in the blood progenitor cells of workers exposed to benzene, and may be mechanistically relevant biomarkers of early effect for benzene and other leukemogens.
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3621
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Buchmann LF, Zhang L, Chiruvelli A, Meystre P. Macroscopic tunneling of a membrane in an optomechanical double-well potential. PHYSICAL REVIEW LETTERS 2012; 108:210403. [PMID: 23003223 DOI: 10.1103/physrevlett.108.210403] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2011] [Indexed: 06/01/2023]
Abstract
The macroscopic tunneling of an optomechanical membrane is considered. A cavity mode which couples quadratically to the membranes position can create highly tunable adiabatic double-well potentials, which together with the high Q factors of such membranes render the observation of macroscopic tunneling possible. A suitable, pulsed measurement scheme using a linearly coupled mode of the cavity for the verification of the effect is studied.
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3622
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Zhang L, Yang M, Liu D, Guo C, Li L, Yang G. The rhPTH (1–34), But not Elcatonin, Increases Bone Anabolic Efficacy in Postmenopausal Women with Osteoporosis. Exp Clin Endocrinol Diabetes 2012; 120:361-6. [PMID: 22639400 DOI: 10.1055/s-0032-1309009] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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3623
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Zhang G, Wang Y, Zhang Y, Wan X, Li J, Liu K, Wang F, Liu K, Liu Q, Yang C, Yu P, Huang Y, Wang S, Jiang P, Qu Z, Luan J, Duan H, Zhang L, Hou A, Jin S, Hsieh TC, Wu E. Anti-cancer activities of tea epigallocatechin-3-gallate in breast cancer patients under radiotherapy. Curr Mol Med 2012; 12:163-76. [PMID: 22280355 DOI: 10.2174/156652412798889063] [Citation(s) in RCA: 105] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2011] [Revised: 10/09/2011] [Accepted: 10/10/2011] [Indexed: 12/31/2022]
Abstract
The purpose of this study was to test the hypothesis that administration of epigallocatechin-3-gallate (EGCG), a polyphenol present in abundance in widely consumed tea, inhibits cell proliferation, invasion, and angiogenesis in breast cancer patients. EGCG in 400 mg capsules was orally administered three times daily to breast cancer patients undergoing treatment with radiotherapy. Parameters related to cell proliferation, invasion, and angiogenesis were analyzed while blood samples were collected at different time points to determine efficacy of the EGCG treatment. Compared to patients who received radiotherapy alone, those given radiotherapy plus EGCG for an extended time period (two to eight weeks) showed significantly lower serum levels of vascular endothelial growth factor (VEGF), hepatocyte growth factor (HGF), and reduced activation of metalloproteinase-9 and metalloproteinase-2 (MMP9/MMP2). Addition of sera obtained from patients treated with combination of radiotherapy and EGCG feeding for 2-8 weeks to in vitro cultures of highly-metastatic human MDA-MB-231 breast cancer cells resulted in the following significant changes: (1) suppression of cell proliferation and invasion; (2) arrest of cell cycles at the G0/G1 phase; (3) reduction of activation of MMP9/MMP2, expressions of Bcl-2/Bax, c-Met receptor, NF-κB, and the phosphorylation of Akt. MDA-MB-231 cells exposed to 5-10 µM EGCG also showed significant augmentation of the apoptosis inducing effects of γ-radiation, concomitant with reduced NF-κB protein level and AKT phosphorylation. These results provide hitherto unreported evidence that EGCG potentiated efficacy of radiotherapy in breast cancer patients, and raise the possibility that this tea polyphenol has potential to be a therapeutic adjuvant against human metastatic breast cancer.
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3624
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Hu WF, Gong L, Cao Z, Ma H, Ji W, Deng M, Liu M, Hu XH, Chen P, Yan Q, Chen HG, Liu J, Sun S, Zhang L, Liu JP, Wawrousek E, Li DWC. αA- and αB-crystallins interact with caspase-3 and Bax to guard mouse lens development. Curr Mol Med 2012; 12:177-87. [PMID: 22280356 DOI: 10.2174/156652412798889036] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2011] [Revised: 11/22/2011] [Accepted: 11/23/2011] [Indexed: 11/22/2022]
Abstract
The small heat shock protein, α-crystallin, exists in two isoforms, αA and αB, and displays strong ability against stress-induced apoptosis. Regarding their functional mechanisms, we and others have demonstrated that they are able to regulate members in both caspase and Bcl-2 families. In addition, we have also shown that αA and αB may display differential anti-apoptotic mechanisms under certain stress conditions. While αA-crystallin regulates activation of the AKT signaling pathway, αB negatively regulates the MAPK pathway to suppress apoptosis induced by UV and oxidative stress. Although previous studies revealed that αA and αB could regulate members in both caspase and Bcl-2 families, the molecular mechanism, especially the in vivo regulation still waits to be elucidated. In the present communication, we present both in vitro and in vivo evidence to further demonstrate the regulation of caspase-3 and Bax by αA and αB. First, Surface Plasmon Resonance (SPR) and yeast two-hybrid selection analysis demonstrate that αA and αB directly bind to caspase-3 and Bax with differential affinities. Second, immunohistochemistry reveals that αA and αB regulate caspase-3 and Bax at different developmental stages of mouse embryo. Third, coimmunoprecipitation shows that αA and αB form in vivo interacting complexes with caspase-3 and Bax. Together, our results further confirm that αA and αB regulate caspase-3 and Bax in vitro and in vivo to regulate lens differentiation.
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3625
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Zhang L, Sankaran VG, Lodish HF. MicroRNAs in erythroid and megakaryocytic differentiation and megakaryocyte-erythroid progenitor lineage commitment. Leukemia 2012; 26:2310-6. [PMID: 22617791 DOI: 10.1038/leu.2012.137] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
MicroRNAs (miRNAs) are a class of small regulatory noncoding RNAs that modulate the expression of their target genes through either mRNA degradation or inhibition of protein translation. In recent years, miRNAs have been shown to be critical regulators of hematopoiesis and have important roles in the differentiation of specific lineages. Here, we summarize our current understanding of miRNAs involved in hematopoiesis with a focus on the role of miRNAs in regulating erythroid and megakaryocytic differentiation and megakaryocyte-erythroid progenitor lineage commitment.
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