251
|
Adams TNG, Turner PA, Janorkar AV, Zhao F, Minerick AR. Characterizing the dielectric properties of human mesenchymal stem cells and the effects of charged elastin-like polypeptide copolymer treatment. BIOMICROFLUIDICS 2014; 8:054109. [PMID: 25332746 PMCID: PMC4191366 DOI: 10.1063/1.4895756] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2014] [Accepted: 09/04/2014] [Indexed: 05/05/2023]
Abstract
HUMAN MESENCHYMAL STEM CELLS (HMSCS) HAVE THREE KEY PROPERTIES THAT MAKE THEM DESIRABLE FOR STEM CELL THERAPEUTICS: differentiation capacity, trophic activity, and ability to self-renew. However, current separation techniques are inefficient, time consuming, expensive, and, in some cases, alter hMSCs cellular function and viability. Dielectrophoresis (DEP) is a technique that uses alternating current electric fields to spatially separate biological cells based on the dielectric properties of their membrane and cytoplasm. This work implements the first steps toward the development of a continuous cell sorting microfluidic device by characterizing native hMSCs dielectric signatures and comparing them to hMSCs morphologically standardized with a polymer. A quadrapole Ti-Au electrode microdevice was used to observe hMSC DEP behaviors, and quantify frequency spectra and cross-over frequency of hMSCs from 0.010-35 MHz in dextrose buffer solutions (0.030 S/m and 0.10 S/m). This combined approach included a systematic parametric study to fit a core-shell model to the DEP spectra over the entire tested frequency range, adding robustness to the analysis technique. The membrane capacitance and permittivity were found to be 2.2 pF and 2.0 in 0.030 S/m and 4.5 pF and 4.1 in 0.10 S/m, respectively. Elastin-like polypeptide (ELP-) polyethyleneimine (PEI) copolymer was used to control hMSCs morphology to spheroidal cells and aggregates. Results demonstrated that ELP-PEI treatment controlled hMSCs morphology, increased experiment reproducibility, and concurrently increased hMSCs membrane permittivity to shift the cross-over frequency above 35 MHz. Therefore, ELP-PEI treatment may serve as a tool for the eventual determination of biosurface marker-dependent DEP signatures and hMSCs purification.
Collapse
|
252
|
Lim S, Lee YH, Igori D, Zhao F, Yoo RH, Lee SH, Baek IY, Moon JS. First Report of Peanut mottle virus Infecting Soybean in South Korea. PLANT DISEASE 2014; 98:1285. [PMID: 30699670 DOI: 10.1094/pdis-04-14-0356-pdn] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
In July 2013, soybean (Glycine max) plants at the research field in Daegu, South Korea, showed virus-like symptoms, such as mosaic, mottle, yellowing, and stunting. Overall, there were approximately 1% of soybean plants that showed these symptoms. Sixteen soybean samples were collected based on visual symptoms and subjected to laboratory characterization. Total RNA was extracted from each sample with the Tri Reagent (Molecular Research Center, Cincinnati, OH) and cDNA was synthesized using random N25 primer with RevertAid Reverse Transcriptase (Thermo Scientific, Waltham, MA), according to the manufacturers' instructions. All samples were tested by PCR with Prime Taq Premix (2X) (GeNet Bio, Daejeon, Korea) and primer sets specific to Soybean mosaic virus (SMV; 5'-CATATCAGTTTGTTGGGCA-3' and 5'-TGCCTATACCCTCAACAT-3'), Peanut stunt virus (PSV; 5'-TGACCGCGTGCCAGTAGGAT-3' and 5'-AGGTDGCTTTCTWTTGRATTTA-3'), Soybean yellow mottle mosaic virus (SYMMV; 5'-CAACCCTCAGCCACATTCAACTAT-3' and 5'-TCTAACCACCCCACCCGAAGGATT-3'), and Soybean yellow common mosaic virus (SYCMV; 5'-TTGGCTGAGAGGAGTGGCTT-3' and 5'-TGCGGTCGTGTAGTCAGTG-3'). Among 16 samples tested, five were positive for SMV and two for SYMMV. Three samples were found infected by both SMV and SYMMV and four by both SMV and PSV. Since two of the symptomatic samples were not infected by viruses described above, a pair of primers specific to Peanut mottle virus (PeMoV; 5'-GCTGTGAATTGTTGTTGAGAA-3' and 5'-ACAATGATGAAGTTCGTTAC-3') was tested (1). All 16 samples were subjected to RT-PCR with primers specific to PeMoV. Four were found positive for PeMoV. Two of them were already found infected with SYMMV. In order to identify the complete nucleotide sequences of PeMoV coat protein (CP), another primer set (5'-TGAGCAGGAAAGAATTGTTTC-3' and 5'-GGAAGCGATATACACACCAAC-3') was used. RT-PCR product was cloned into RBC TA Cloning Vector (RBC Bioscience, Taipei, Taiwan) and the nucleotide sequence of the insert was determined by Macrogen (Seoul, Korea). CP gene of the PeMoV (GenBank Accession No. KJ664838) showed the highest nucleotide sequence identity with PeMoV isolate Habin (KF977830; 99% identity), and the highest amino acid identity with GenBank Accession No. ABI97347 (100% identity). In order to fulfill Koch's postulates, several G. max cv. Williams 82 were inoculated with the extracts of PeMoV-infected leaf tissue. At 14 days post-inoculation, plants showed systemic mottle symptoms. These symptomatic plants were subjected to RT-PCR, and the nucleotide sequences of the PCR product were found identical to that of the virus in the inoculum. To our knowledge, this is the first report of soybean-infecting PeMoV, a member of the genus Potyvirus in the family Potyviridae, in South Korea. Reference: (1) R. G. Dietzgen et al. Plant Dis. 85:989, 2001.
Collapse
|
253
|
Wu S, Zhang X, Xia B, Luo H, Li J, Zheng A, Xie C, Wang L, Hu W, Lian X, Du D, Chen M, Bian X, Tan B, Hui Z, Zhao F, Tian Z, Liu H, Huang K, Hu J. Interim Results of a Randomized Controlled Phase III Trial of Elective Nodal Irradiation Plus Erlotinib Combined with Chemotherapy for Esophageal Squamous Cell Carcinoma (Nct00686114). Ann Oncol 2014. [DOI: 10.1093/annonc/mdu334.5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
|
254
|
Adamczyk L, Adkins JK, Agakishiev G, Aggarwal MM, Ahammed Z, Alekseev I, Alford J, Anson CD, Aparin A, Arkhipkin D, Aschenauer EC, Averichev GS, Balewski J, Banerjee A, Barnovska Z, Beavis DR, Bellwied R, Bhasin A, Bhati AK, Bhattarai P, Bichsel H, Bielcik J, Bielcikova J, Bland LC, Bordyuzhin IG, Borowski W, Bouchet J, Brandin AV, Brovko SG, Bültmann S, Bunzarov I, Burton TP, Butterworth J, Caines H, Calderón de la Barca Sánchez M, Cebra D, Cendejas R, Cervantes MC, Chaloupka P, Chang Z, Chattopadhyay S, Chen HF, Chen JH, Chen L, Cheng J, Cherney M, Chikanian A, Christie W, Chwastowski J, Codrington MJM, Corliss R, Cramer JG, Crawford HJ, Cui X, Das S, Davila Leyva A, De Silva LC, Debbe RR, Dedovich TG, Deng J, Derevschikov AA, Derradi de Souza R, Dhamija S, di Ruzza B, Didenko L, Dilks C, Ding F, Djawotho P, Dong X, Drachenberg JL, Draper JE, Du CM, Dunkelberger LE, Dunlop JC, Efimov LG, Engelage J, Engle KS, Eppley G, Eun L, Evdokimov O, Fatemi R, Fazio S, Fedorisin J, Filip P, Finch E, Fisyak Y, Flores CE, Gagliardi CA, Gangadharan DR, Garand D, Geurts F, Gibson A, Girard M, Gliske S, Grosnick D, Guo Y, Gupta A, Gupta S, Guryn W, Haag B, Hajkova O, Hamed A, Han LX, Haque R, Harris JW, Hays-Wehle JP, Heppelmann S, Hirsch A, Hoffmann GW, Hofman DJ, Horvat S, Huang B, Huang HZ, Huck P, Humanic TJ, Igo G, Jacobs WW, Jang H, Judd EG, Kabana S, Kalinkin D, Kang K, Kauder K, Ke HW, Keane D, Kechechyan A, Kesich A, Khan ZH, Kikola DP, Kisel I, Kisiel A, Koetke DD, Kollegger T, Konzer J, Koralt I, Korsch W, Kotchenda L, Kravtsov P, Krueger K, Kulakov I, Kumar L, Kycia RA, Lamont MAC, Landgraf JM, Landry KD, Lauret J, Lebedev A, Lednicky R, Lee JH, Leight W, LeVine MJ, Li C, Li W, Li X, Li X, Li Y, Li ZM, Lima LM, Lisa MA, Liu F, Ljubicic T, Llope WJ, Longacre RS, Luo X, Ma GL, Ma YG, Madagodagettige Don DMMD, Mahapatra DP, Majka R, Margetis S, Markert C, Masui H, Matis HS, McDonald D, McShane TS, Minaev NG, Mioduszewski S, Mohanty B, Mondal MM, Morozov DA, Munhoz MG, Mustafa MK, Nandi BK, Nasim M, Nayak TK, Nelson JM, Nogach LV, Noh SY, Novak J, Nurushev SB, Odyniec G, Ogawa A, Oh K, Ohlson A, Okorokov V, Oldag EW, Oliveira RAN, Pachr M, Page BS, Pal SK, Pan YX, Pandit Y, Panebratsev Y, Pawlak T, Pawlik B, Pei H, Perkins C, Peryt W, Peterson A, Pile P, Planinic M, Pluta J, Plyku D, Poljak N, Porter J, Poskanzer AM, Pruthi NK, Przybycien M, Pujahari PR, Qiu H, Quintero A, Ramachandran S, Raniwala R, Raniwala S, Ray RL, Riley CK, Ritter HG, Roberts JB, Rogachevskiy OV, Romero JL, Ross JF, Roy A, Ruan L, Rusnak J, Sahoo NR, Sahu PK, Sakrejda I, Salur S, Sandacz A, Sandweiss J, Sangaline E, Sarkar A, Schambach J, Scharenberg RP, Schmah AM, Schmidke WB, Schmitz N, Seger J, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao M, Sharma B, Shen WQ, Shi SS, Shou QY, Sichtermann EP, Singaraju RN, Skoby MJ, Smirnov D, Smirnov N, Solanki D, Sorensen P, deSouza UG, Spinka HM, Srivastava B, Stanislaus TDS, Stevens JR, Stock R, Strikhanov M, Stringfellow B, Suaide AAP, Sumbera M, Sun X, Sun XM, Sun Y, Sun Z, Surrow B, Svirida DN, Symons TJM, Szanto de Toledo A, Takahashi J, Tang AH, Tang Z, Tarnowsky T, Thomas JH, Timmins AR, Tlusty D, Tokarev M, Trentalange S, Tribble RE, Tribedy P, Trzeciak BA, Tsai OD, Turnau J, Ullrich T, Underwood DG, Van Buren G, van Nieuwenhuizen G, Vanfossen JA, Varma R, Vasconcelos GMS, Vasiliev AN, Vertesi R, Videbæk F, Viyogi YP, Vokal S, Vossen A, Wada M, Walker M, Wang F, Wang G, Wang H, Wang JS, Wang XL, Wang Y, Wang Y, Webb G, Webb JC, Westfall GD, Wieman H, Wissink SW, Witt R, Wu YF, Xiao Z, Xie W, Xin K, Xu H, Xu N, Xu QH, Xu Y, Xu Z, Yan W, Yang C, Yang Y, Yang Y, Ye Z, Yepes P, Yi L, Yip K, Yoo IK, Zawisza Y, Zbroszczyk H, Zha W, Zhang JB, Zhang S, Zhang XP, Zhang Y, Zhang ZP, Zhao F, Zhao J, Zhong C, Zhu X, Zhu YH, Zoulkarneeva Y, Zyzak M. Beam energy dependence of moments of the net-charge multiplicity distributions in Au+Au collisions at RHIC. PHYSICAL REVIEW LETTERS 2014; 113:092301. [PMID: 25215979 DOI: 10.1103/physrevlett.113.092301] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2014] [Indexed: 06/03/2023]
Abstract
We report the first measurements of the moments--mean (M), variance (σ(2)), skewness (S), and kurtosis (κ)--of the net-charge multiplicity distributions at midrapidity in Au+Au collisions at seven energies, ranging from sqrt[sNN]=7.7 to 200 GeV, as a part of the Beam Energy Scan program at RHIC. The moments are related to the thermodynamic susceptibilities of net charge, and are sensitive to the location of the QCD critical point. We compare the products of the moments, σ(2)/M, Sσ, and κσ(2), with the expectations from Poisson and negative binomial distributions (NBDs). The Sσ values deviate from the Poisson baseline and are close to the NBD baseline, while the κσ(2) values tend to lie between the two. Within the present uncertainties, our data do not show nonmonotonic behavior as a function of collision energy. These measurements provide a valuable tool to extract the freeze-out parameters in heavy-ion collisions by comparing with theoretical models.
Collapse
|
255
|
Adamczyk L, Adkins JK, Agakishiev G, Aggarwal MM, Ahammed Z, Alekseev I, Alford J, Anson CD, Aparin A, Arkhipkin D, Aschenauer EC, Averichev GS, Balewski J, Banerjee A, Beavis DR, Bellwied R, Bhasin A, Bhati AK, Bhattarai P, Bichsel H, Bielcik J, Bielcikova J, Bland LC, Bordyuzhin IG, Borowski W, Bouchet J, Brandin AV, Brovko SG, Bültmann S, Bunzarov I, Burton TP, Butterworth J, Caines H, Calderón de la Barca Sánchez M, Campbell JM, Cebra D, Cendejas R, Cervantes MC, Chaloupka P, Chang Z, Chattopadhyay S, Chen HF, Chen JH, Chen L, Cheng J, Cherney M, Chikanian A, Christie W, Chwastowski J, Codrington MJM, Contin G, Cramer JG, Crawford HJ, Cui X, Das S, Davila Leyva A, De Silva LC, Debbe RR, Dedovich TG, Deng J, Derevschikov AA, Derradi de Souza R, Dhamija S, di Ruzza B, Didenko L, Dilks C, Ding F, Djawotho P, Dong X, Drachenberg JL, Draper JE, Du CM, Dunkelberger LE, Dunlop JC, Efimov LG, Engelage J, Engle KS, Eppley G, Eun L, Evdokimov O, Eyser O, Fatemi R, Fazio S, Fedorisin J, Filip P, Finch E, Fisyak Y, Flores CE, Gagliardi CA, Gangadharan DR, Garand D, Geurts F, Gibson A, Girard M, Gliske S, Greiner L, Grosnick D, Gunarathne DS, Guo Y, Gupta A, Gupta S, Guryn W, Haag B, Hamed A, Han LX, Haque R, Harris JW, Heppelmann S, Hirsch A, Hoffmann GW, Hofman DJ, Horvat S, Huang B, Huang HZ, Huang X, Huck P, Humanic TJ, Igo G, Jacobs WW, Jang H, Judd EG, Kabana S, Kalinkin D, Kang K, Kauder K, Ke HW, Keane D, Kechechyan A, Kesich A, Khan ZH, Kikola DP, Kisel I, Kisiel A, Koetke DD, Kollegger T, Konzer J, Koralt I, Kosarzewski LK, Kotchenda L, Kraishan AF, Kravtsov P, Krueger K, Kulakov I, Kumar L, Kycia RA, Lamont MAC, Landgraf JM, Landry KD, Lauret J, Lebedev A, Lednicky R, Lee JH, LeVine MJ, Li C, Li W, Li X, Li X, Li Y, Li ZM, Lisa MA, Liu F, Ljubicic T, Llope WJ, Lomnitz M, Longacre RS, Luo X, Ma GL, Ma YG, Madagodagettige Don DMMD, Mahapatra DP, Majka R, Margetis S, Markert C, Masui H, Matis HS, McDonald D, McShane TS, Minaev NG, Mioduszewski S, Mohanty B, Mondal MM, Morozov DA, Mustafa MK, Nandi BK, Nasim M, Nayak TK, Nelson JM, Nigmatkulov G, Nogach LV, Noh SY, Novak J, Nurushev SB, Odyniec G, Ogawa A, Oh K, Ohlson A, Okorokov V, Oldag EW, Olvitt DL, Pachr M, Page BS, Pal SK, Pan YX, Pandit Y, Panebratsev Y, Pawlak T, Pawlik B, Pei H, Perkins C, Peryt W, Pile P, Planinic M, Pluta J, Poljak N, Poniatowska K, Porter J, Poskanzer AM, Pruthi NK, Przybycien M, Pujahari PR, Putschke J, Qiu H, Quintero A, Ramachandran S, Raniwala R, Raniwala S, Ray RL, Riley CK, Ritter HG, Roberts JB, Rogachevskiy OV, Romero JL, Ross JF, Roy A, Ruan L, Rusnak J, Rusnakova O, Sahoo NR, Sahu PK, Sakrejda I, Salur S, Sandweiss J, Sangaline E, Sarkar A, Schambach J, Scharenberg RP, Schmah AM, Schmidke WB, Schmitz N, Seger J, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao M, Sharma B, Shen WQ, Shi SS, Shou QY, Sichtermann EP, Singaraju RN, Skoby MJ, Smirnov D, Smirnov N, Solanki D, Sorensen P, Spinka HM, Srivastava B, Stanislaus TDS, Stevens JR, Stock R, Strikhanov M, Stringfellow B, Sumbera M, Sun X, Sun XM, Sun Y, Sun Z, Surrow B, Svirida DN, Symons TJM, Szelezniak MA, Takahashi J, Tang AH, Tang Z, Tarnowsky T, Thomas JH, Timmins AR, Tlusty D, Tokarev M, Trentalange S, Tribble RE, Tribedy P, Trzeciak BA, Tsai OD, Turnau J, Ullrich T, Underwood DG, Van Buren G, van Nieuwenhuizen G, Vandenbroucke M, Vanfossen JA, Varma R, Vasconcelos GMS, Vasiliev AN, Vertesi R, Videbæk F, Viyogi YP, Vokal S, Vossen A, Wada M, Wang F, Wang G, Wang H, Wang JS, Wang XL, Wang Y, Wang Y, Webb G, Webb JC, Westfall GD, Wieman H, Wissink SW, Witt R, Wu YF, Xiao Z, Xie W, Xin K, Xu H, Xu J, Xu N, Xu QH, Xu Y, Xu Z, Yan W, Yang C, Yang Y, Yang Y, Ye Z, Yepes P, Yi L, Yip K, Yoo IK, Yu N, Zawisza Y, Zbroszczyk H, Zha W, Zhang JB, Zhang JL, Zhang S, Zhang XP, Zhang Y, Zhang ZP, Zhao F, Zhao J, Zhong C, Zhu X, Zhu YH, Zoulkarneeva Y, Zyzak M. Measurement of longitudinal spin asymmetries for weak boson production in polarized proton-proton collisions at RHIC. PHYSICAL REVIEW LETTERS 2014; 113:072301. [PMID: 25170701 DOI: 10.1103/physrevlett.113.072301] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2014] [Indexed: 06/03/2023]
Abstract
We report measurements of single- and double-spin asymmetries for W^{±} and Z/γ^{*} boson production in longitudinally polarized p+p collisions at sqrt[s]=510 GeV by the STAR experiment at RHIC. The asymmetries for W^{±} were measured as a function of the decay lepton pseudorapidity, which provides a theoretically clean probe of the proton's polarized quark distributions at the scale of the W mass. The results are compared to theoretical predictions, constrained by polarized deep inelastic scattering measurements, and show a preference for a sizable, positive up antiquark polarization in the range 0.05<x<0.2.
Collapse
|
256
|
Adamczyk L, Adkins JK, Agakishiev G, Aggarwal MM, Ahammed Z, Alekseev I, Alford J, Anson CD, Aparin A, Arkhipkin D, Aschenauer EC, Averichev GS, Banerjee A, Beavis DR, Bellwied R, Bhasin A, Bhati AK, Bhattarai P, Bichsel H, Bielcik J, Bielcikova J, Bland LC, Bordyuzhin IG, Borowski W, Bouchet J, Brandin AV, Brovko SG, Bültmann S, Bunzarov I, Burton TP, Butterworth J, Caines H, Calderón de la Barca Sánchez M, Cebra D, Cendejas R, Cervantes MC, Chaloupka P, Chang Z, Chattopadhyay S, Chen HF, Chen JH, Chen L, Cheng J, Cherney M, Chikanian A, Christie W, Chwastowski J, Codrington MJM, Contin G, Cramer JG, Crawford HJ, Cui X, Das S, Davila Leyva A, De Silva LC, Debbe RR, Dedovich TG, Deng J, Derevschikov AA, Derradi de Souza R, Dhamija S, di Ruzza B, Didenko L, Dilks C, Ding F, Djawotho P, Dong X, Drachenberg JL, Draper JE, Du CM, Dunkelberger LE, Dunlop JC, Efimov LG, Engelage J, Engle KS, Eppley G, Eun L, Evdokimov O, Eyser O, Fatemi R, Fazio S, Fedorisin J, Filip P, Finch E, Fisyak Y, Flores CE, Gagliardi CA, Gangadharan DR, Garand D, Geurts F, Gibson A, Girard M, Gliske S, Greiner L, Grosnick D, Gunarathne DS, Guo Y, Gupta A, Gupta S, Guryn W, Haag B, Hamed A, Han LX, Haque R, Harris JW, Heppelmann S, Hirsch A, Hoffmann GW, Hofman DJ, Horvat S, Huang B, Huang HZ, Huang X, Huck P, Humanic TJ, Igo G, Jacobs WW, Jang H, Judd EG, Kabana S, Kalinkin D, Kang K, Kauder K, Ke HW, Keane D, Kechechyan A, Kesich A, Khan ZH, Kikola DP, Kisel I, Kisiel A, Koetke DD, Kollegger T, Konzer J, Koralt I, Kotchenda L, Kraishan AF, Kravtsov P, Krueger K, Kulakov I, Kumar L, Kycia RA, Lamont MAC, Landgraf JM, Landry KD, Lauret J, Lebedev A, Lednicky R, Lee JH, LeVine MJ, Li C, Li W, Li X, Li X, Li Y, Li ZM, Lisa MA, Liu F, Ljubicic T, Llope WJ, Lomnitz M, Longacre RS, Luo X, Ma GL, Ma YG, Madagodagettige Don DMMD, Mahapatra DP, Majka R, Margetis S, Markert C, Masui H, Matis HS, McDonald D, McShane TS, Minaev NG, Mioduszewski S, Mohanty B, Mondal MM, Morozov DA, Mustafa MK, Nandi BK, Nasim M, Nayak TK, Nelson JM, Nigmatkulov G, Nogach LV, Noh SY, Novak J, Nurushev SB, Odyniec G, Ogawa A, Oh K, Ohlson A, Okorokov V, Oldag EW, Olvitt DL, Pachr M, Page BS, Pal SK, Pan YX, Pandit Y, Panebratsev Y, Pawlak T, Pawlik B, Pei H, Perkins C, Peryt W, Pile P, Planinic M, Pluta J, Poljak N, Porter J, Poskanzer AM, Pruthi NK, Przybycien M, Pujahari PR, Putschke J, Qiu H, Quintero A, Ramachandran S, Raniwala R, Raniwala S, Ray RL, Riley CK, Ritter HG, Roberts JB, Rogachevskiy OV, Romero JL, Ross JF, Roy A, Ruan L, Rusnak J, Rusnakova O, Sahoo NR, Sahu PK, Sakrejda I, Salur S, Sandweiss J, Sangaline E, Sarkar A, Schambach J, Scharenberg RP, Schmah AM, Schmidke WB, Schmitz N, Seger J, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao M, Sharma B, Shen WQ, Shi SS, Shou QY, Sichtermann EP, Singaraju RN, Skoby MJ, Smirnov D, Smirnov N, Solanki D, Sorensen P, Spinka HM, Srivastava B, Stanislaus TDS, Stevens JR, Stock R, Strikhanov M, Stringfellow B, Sumbera M, Sun X, Sun XM, Sun Y, Sun Z, Surrow B, Svirida DN, Symons TJM, Szelezniak MA, Takahashi J, Tang AH, Tang Z, Tarnowsky T, Thomas JH, Timmins AR, Tlusty D, Tokarev M, Trentalange S, Tribble RE, Tribedy P, Trzeciak BA, Tsai OD, Turnau J, Ullrich T, Underwood DG, Van Buren G, van Nieuwenhuizen G, Vandenbroucke M, Vanfossen JA, Varma R, Vasconcelos GMS, Vasiliev AN, Vertesi R, Videbæk F, Viyogi YP, Vokal S, Voloshin SA, Vossen A, Wada M, Wang F, Wang G, Wang H, Wang JS, Wang XL, Wang Y, Wang Y, Webb G, Webb JC, Westfall GD, Wieman H, Wissink SW, Witt R, Wu YF, Xiao Z, Xie W, Xin K, Xu H, Xu J, Xu N, Xu QH, Xu Y, Xu Z, Yan W, Yang C, Yang Y, Yang Y, Ye Z, Yepes P, Yi L, Yip K, Yoo IK, Yu N, Zawisza Y, Zbroszczyk H, Zha W, Zhang JB, Zhang JL, Zhang S, Zhang XP, Zhang Y, Zhang ZP, Zhao F, Zhao J, Zhong C, Zhu X, Zhu YH, Zoulkarneeva Y, Zyzak M. Beam-energy dependence of charge separation along the magnetic field in Au+Au collisions at RHIC. PHYSICAL REVIEW LETTERS 2014; 113:052302. [PMID: 25126911 DOI: 10.1103/physrevlett.113.052302] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2014] [Indexed: 06/03/2023]
Abstract
Local parity-odd domains are theorized to form inside a quark-gluon plasma which has been produced in high-energy heavy-ion collisions. The local parity-odd domains manifest themselves as charge separation along the magnetic field axis via the chiral magnetic effect. The experimental observation of charge separation has previously been reported for heavy-ion collisions at the top RHIC energies. In this Letter, we present the results of the beam-energy dependence of the charge correlations in Au+Au collisions at midrapidity for center-of-mass energies of 7.7, 11.5, 19.6, 27, 39, and 62.4 GeV from the STAR experiment. After background subtraction, the signal gradually reduces with decreased beam energy and tends to vanish by 7.7 GeV. This implies the dominance of hadronic interactions over partonic ones at lower collision energies.
Collapse
|
257
|
Ai JG, Zhao F, Gao ZM, Dai W, Zhang L, Chen HB, Zhou JG. Treatment of seawater immersion-complicated open-knee joint fracture. GENETICS AND MOLECULAR RESEARCH 2014; 13:5523-33. [PMID: 25117308 DOI: 10.4238/2014.july.25.6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
The current study aimed to select suitable remedies for seawater immersion-complicated open-knee joint fracture by exploring the effects of different treatment methods. Forty adult rabbits weighing 2.20 ± 0.25 kg were divided equally into internal fracture fixation group (A), seawater-immersed group with primary internal fixation (B), seawater-immersed group with secondary internal fixation (C), and seawater-immersed group with external fixation (D), using the random-digit table method. Open-femoral internal condylar fracture models were established. Group A was left untreated for 2 h, whereas the other three groups were subjected to seawater immersion for 2 h. Afterwards, groups A and B underwent debridement and steel plate and screw internal fixation. Group C underwent debridement and external fixation, which was followed by secondary steel plate and screw internal fixation after the wound healed. Group D underwent transarticular arthrodesis. Wound infection, joint functional rehabilitation, and radiological and histopathological changes in fracture healing in each group were assessed. The results showed that delayed internal fixation effectively reduces the infection rate of seawater immersion-complicated open fracture and benefits joint function rehabilitation.
Collapse
|
258
|
Adamczyk L, Adkins JK, Agakishiev G, Aggarwal MM, Ahammed Z, Alekseev I, Alford J, Anson CD, Aparin A, Arkhipkin D, Aschenauer EC, Averichev GS, Banerjee A, Barnovska Z, Beavis DR, Bellwied R, Bhasin A, Bhati AK, Bhattarai P, Bichsel H, Bielcik J, Bielcikova J, Bland LC, Bordyuzhin IG, Borowski W, Bouchet J, Brandin AV, Brovko SG, Bültmann S, Bunzarov I, Burton TP, Butterworth J, Caines H, Calderón de la Barca Sánchez M, Cebra D, Cendejas R, Cervantes MC, Chaloupka P, Chang Z, Chattopadhyay S, Chen HF, Chen JH, Chen L, Cheng J, Cherney M, Chikanian A, Christie W, Chwastowski J, Codrington MJM, Cramer JG, Crawford HJ, Cui X, Das S, Davila Leyva A, De Silva LC, Debbe RR, Dedovich TG, Deng J, Derevschikov AA, Derradi de Souza R, Dhamija S, di Ruzza B, Didenko L, Dilks C, Ding F, Djawotho P, Dong X, Drachenberg JL, Draper JE, Du CM, Dunkelberger LE, Dunlop JC, Efimov LG, Engelage J, Engle KS, Eppley G, Eun L, Evdokimov O, Fatemi R, Fazio S, Fedorisin J, Filip P, Finch E, Fisyak Y, Flores CE, Gagliardi CA, Gangadharan DR, Garand D, Geurts F, Gibson A, Girard M, Gliske S, Grosnick D, Guo Y, Gupta A, Gupta S, Guryn W, Haag B, Hajkova O, Hamed A, Han LX, Haque R, Harris JW, Heppelmann S, Hirsch A, Hoffmann GW, Hofman DJ, Horvat S, Huang B, Huang HZ, Huang X, Huck P, Humanic TJ, Igo G, Jacobs WW, Jang H, Judd EG, Kabana S, Kalinkin D, Kang K, Kauder K, Ke HW, Keane D, Kechechyan A, Kesich A, Khan ZH, Kikola DP, Kisel I, Kisiel A, Koetke DD, Kollegger T, Konzer J, Koralt I, Korsch W, Kotchenda L, Kravtsov P, Krueger K, Kulakov I, Kumar L, Kycia RA, Lamont MAC, Landgraf JM, Landry KD, Lauret J, Lebedev A, Lednicky R, Lee JH, LeVine MJ, Li C, Li W, Li X, Li X, Li Y, Li ZM, Lima LM, Lisa MA, Liu F, Ljubicic T, Llope WJ, Longacre RS, Luo X, Ma GL, Ma YG, Madagodagettige Don DMMD, Mahapatra DP, Majka R, Margetis S, Markert C, Masui H, Matis HS, McDonald D, McShane TS, Minaev NG, Mioduszewski S, Mohanty B, Mondal MM, Morozov DA, Munhoz MG, Mustafa MK, Nandi BK, Nasim M, Nayak TK, Nelson JM, Nogach LV, Noh SY, Novak J, Nurushev SB, Odyniec G, Ogawa A, Oh K, Ohlson A, Okorokov V, Oldag EW, Oliveira RAN, Pachr M, Page BS, Pal SK, Pan YX, Pandit Y, Panebratsev Y, Pawlak T, Pawlik B, Pei H, Perkins C, Peryt W, Pile P, Planinic M, Pluta J, Plyku D, Poljak N, Porter J, Poskanzer AM, Pruthi NK, Przybycien M, Pujahari PR, Qiu H, Quintero A, Ramachandran S, Raniwala R, Raniwala S, Ray RL, Riley CK, Ritter HG, Roberts JB, Rogachevskiy OV, Romero JL, Ross JF, Roy A, Ruan L, Rusnak J, Sahoo NR, Sahu PK, Sakrejda I, Salur S, Sandacz A, Sandweiss J, Sangaline E, Sarkar A, Schambach J, Scharenberg RP, Schmah AM, Schmidke WB, Schmitz N, Seger J, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao M, Sharma B, Shen WQ, Shi SS, Shou QY, Sichtermann EP, Singaraju RN, Skoby MJ, Smirnov D, Smirnov N, Solanki D, Sorensen P, deSouza UG, Spinka HM, Srivastava B, Stanislaus TDS, Stevens JR, Stock R, Strikhanov M, Stringfellow B, Suaide AAP, Sumbera M, Sun X, Sun XM, Sun Y, Sun Z, Surrow B, Svirida DN, Symons TJM, Szanto de Toledo A, Takahashi J, Tang AH, Tang Z, Tarnowsky T, Thomas JH, Timmins AR, Tlusty D, Tokarev M, Trentalange S, Tribble RE, Tribedy P, Trzeciak BA, Tsai OD, Turnau J, Ullrich T, Underwood DG, Van Buren G, van Nieuwenhuizen G, Vanfossen JA, Varma R, Vasconcelos GMS, Vasiliev AN, Vertesi R, Videbæk F, Viyogi YP, Vokal S, Vossen A, Wada M, Wang F, Wang G, Wang H, Wang JS, Wang XL, Wang Y, Wang Y, Webb G, Webb JC, Westfall GD, Wieman H, Wissink SW, Witt R, Wu YF, Xiao Z, Xie W, Xin K, Xu H, Xu N, Xu QH, Xu Y, Xu Z, Yan W, Yang C, Yang Y, Yang Y, Ye Z, Yepes P, Yi L, Yip K, Yoo IK, Zawisza Y, Zbroszczyk H, Zha W, Zhang JB, Zhang JL, Zhang S, Zhang XP, Zhang Y, Zhang ZP, Zhao F, Zhao J, Zhong C, Zhu X, Zhu YH, Zoulkarneeva Y, Zyzak M. Dielectron mass spectra from Au+Au collisions at √[s(NN)]=200 GeV. PHYSICAL REVIEW LETTERS 2014; 113:022301. [PMID: 25062167 DOI: 10.1103/physrevlett.113.022301] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2013] [Indexed: 06/03/2023]
Abstract
We report the STAR measurements of dielectron (e(+)e(-)) production at midrapidity (|y(ee)|<1) in Au+Au collisions at √[s(NN)]=200 GeV. The measurements are evaluated in different invariant mass regions with a focus on 0.30-0.76 (ρ-like), 0.76-0.80 (ω-like), and 0.98-1.05 (ϕ-like) GeV/c(2). The spectrum in the ω-like and ϕ-like regions can be well described by the hadronic cocktail simulation. In the ρ-like region, however, the vacuum ρ spectral function cannot describe the shape of the dielectron excess. In this range, an enhancement of 1.77±0.11(stat)±0.24(syst)±0.33(cocktail) is determined with respect to the hadronic cocktail simulation that excludes the ρ meson. The excess yield in the ρ-like region increases with the number of collision participants faster than the ω and ϕ yields. Theoretical models with broadened ρ contributions through interactions with constituents in the hot QCD medium provide a consistent description of the dilepton mass spectra for the measurement presented here and the earlier data at the Super Proton Synchrotron energies.
Collapse
|
259
|
Huang X, Zhuang P, Zhang L, Zhao F, Liu J, Feng G, Zhang T. Effects of cryopreservation on motility characteristics and enzyme activity of sperm in a Chinese fish Nibea albiflora. CRYO LETTERS 2014; 35:267-276. [PMID: 25282493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
BACKGROUND Growing evidence suggests that among the causes which deteriorate qualitative and functional characteristics of sperm after freezing and thawing, there are those linked to decrease of sperm motility and release of various enzymes in the cells and seminal plasma. OBJECTIVE In the present study, the motility, fertilization and enzyme activity of sperm were analyzed after cryopreservation. MATERIALS AND METHODS Computer-assisted sperm motility analysis (CASA) was used to evaluate the effect of cryopreservation on sperm motility of Nibea albiflora. RESULTS The activities of total adenosine triphosphatase (ATPase), creatine kinase (CK), succinate dehydrogenase (SDH), lactate dehydrogenase (LDH), superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GSH-Px) and glutathione reductase (GR) in fresh and frozen seminal plasma and spermatozoa were measured respectively. Cryopreservation led to a decline in the percentage of motile sperm, moreover, other parameters of sperm motion, curvilinear and straight line velocities, linearity were changed observably (p < 0.05), the fertilizing capacity of post-thaw sperm was lower than that of the fresh sperm significantly. After cryopreservation, the activities of total ATPase, CK, SDH, LDH, SOD, CAT and GSH-Px increased in seminal plasma and decreased in spermatozoa respectively, but GR activity varied contrarily, GR activity dropped in seminal plasma and increased in spermatozoa. CONCLUSION Cryopreservation had significant effects on the motility characteristics, fertilization ability and enzyme activity of the sperm of Nibea albiflora.
Collapse
|
260
|
Zhao F, Zhang L, Mi B, Zhang H, Hou S, Zhang Z. Using a computer-controlled simulated digestion system to predict the energetic value of corn for ducks. Poult Sci 2014; 93:1410-20. [DOI: 10.3382/ps.2013-03532] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
|
261
|
Zhao F, Bowsher J, Palta M, Czito B, Willett C, Yin F. SU-D-9A-02: Relative Effects of Threshold Choice and Spatial Resolution Modeling On SUV and Volume Quantification in F18-FDG PET Imaging of Anal Cancer Patients. Med Phys 2014. [DOI: 10.1118/1.4887918] [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
|
262
|
Zhao F, Huang X, Hou X, Deng Y, Wu M, Guan F, Liu W, Li Y, Lei J. Schistosoma japonicum: susceptibility of neonate mice born to infected and noninfected mothers following subsequent challenge. Parasite Immunol 2014; 35:157-63. [PMID: 23387533 DOI: 10.1111/pim.12027] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2012] [Accepted: 01/28/2013] [Indexed: 11/28/2022]
Abstract
This study was to investigate the differences between neonate mice born to Schistosoma japonicum-infected mothers and those born to noninfected mothers in subsequent challenge. The intensity of infection (evidenced by worm burden and liver egg burden) and liver immunopathology (number and size of liver granulomas) were significantly reduced in neonates from infected mothers (I.M.) compared with neonates from noninfected mothers (N.M.). Anti-soluble worm antigen of S. japonicum (SWA) IgG could be detected in sera of neonates from I.M. (N.N./I.M.) at 1 week after delivery, remained a plateau for 2 weeks and gradually decreased until 8 weeks of age. Parasite-specific IgM was not detected in sera from N.N./I.M. at any time after delivery. At 6 weeks after infection, the level of anti-SWA IgG in infected neonates from I.M. (I.N./I.M.) was significantly higher than that of infected neonates from N.M. (I.N./N.M.). In addition, production of IFN-γ, IL-12 and TGF-β by cultured splenocytes from I.N./I.M. was significantly increased, while the level of IL-4 was significantly decreased when compared to those from I.N./N.M.. These data demonstrate that congenital exposure to schistosomiasis japonica may render neonatal mice born to I.M. less susceptible to subsequent challenge and result in down-regulation of both infection intensity and immunopathology.
Collapse
|
263
|
Zhao F, Mandlaa M, Hao J, Liang X, Shi R, Han S, Zhang Y. Optimization of culture medium for anaerobic production of rhamnolipid by recombinant Pseudomonas stutzeri Rhl for microbial enhanced oil recovery. Lett Appl Microbiol 2014; 59:231-7. [PMID: 24738996 DOI: 10.1111/lam.12269] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2013] [Revised: 03/23/2014] [Accepted: 04/07/2014] [Indexed: 11/26/2022]
Abstract
UNLABELLED Response surface methodology was employed to enhance the anaerobic production of rhamnolipid by recombinant Pseudomonas stutzeri Rhl. Glycerol is a promising carbon source used to anaerobically produce rhamnolipid. In a Plackett-Burman design, glycerol, KH2 PO4 and yeast extract were significant factors. The proposed optimized medium contained the following: 46·55 g l(-1) glycerol; 3 g l(-1) NaNO3 ; 5·25 g l(-1) K2 HPO4 ·3H2 O; 5·71 g l(-1) KH2 PO4 ; 0·40 g l(-1) MgSO4 ·7H2 O; 0·13 g l(-1) CaCl2 ; 1·0 g l(-1) KCl; 1·0 g l(-1) NaCl; and 2·69 g l(-1) yeast extract. Using this optimized medium, we obtained an anaerobic yield of rhamnolipid of 3·12 ± 0·11 g l(-1) with a 0·85-fold increase. Core flooding test results also revealed that Ps. stutzeri Rhl grown in an optimized medium enhanced the oil recovery efficiency by 15·7%, which was 6·6% higher than in the initial medium. Results suggested that the optimized medium is a promising nutrient source that could effectively mobilize oil by enhancing the in situ production of rhamnolipid. SIGNIFICANCE AND IMPACT OF THE STUDY The ex situ application of rhamnolipid for microbial enhanced oil recovery (MEOR) is costly and complex in terms of rhamnolipid production, purification and transportation. Compared with ex situ applications, the in situ production of rhamnolipid in anaerobic oil reservoir is more advantageous for MEOR. This study is the first to report the anaerobic production optimization of rhamnolipid. Results showed that the optimized medium enhanced not only the anaerobic production of rhamnolipid but also crude oil recovery.
Collapse
|
264
|
Adamczyk L, Adkins JK, Agakishiev G, Aggarwal MM, Ahammed Z, Alekseev I, Alford J, Anson CD, Aparin A, Arkhipkin D, Aschenauer EC, Averichev GS, Banerjee A, Beavis DR, Bellwied R, Bhasin A, Bhati AK, Bhattarai P, Bichsel H, Bielcik J, Bielcikova J, Bland LC, Bordyuzhin IG, Borowski W, Bouchet J, Brandin AV, Brovko SG, Bültmann S, Bunzarov I, Burton TP, Butterworth J, Caines H, Calderón de la Barca Sánchez M, Cebra D, Cendejas R, Cervantes MC, Chaloupka P, Chang Z, Chattopadhyay S, Chen HF, Chen JH, Chen L, Cheng J, Cherney M, Chikanian A, Christie W, Chwastowski J, Codrington MJM, Contin G, Cramer JG, Crawford HJ, Cui X, Das S, Davila Leyva A, De Silva LC, Debbe RR, Dedovich TG, Deng J, Derevschikov AA, Derradi de Souza R, Dhamija S, di Ruzza B, Didenko L, Dilks C, Ding F, Djawotho P, Dong X, Drachenberg JL, Draper JE, Du CM, Dunkelberger LE, Dunlop JC, Efimov LG, Engelage J, Engle KS, Eppley G, Eun L, Evdokimov O, Eyser O, Fatemi R, Fazio S, Fedorisin J, Filip P, Finch E, Fisyak Y, Flores CE, Gagliardi CA, Gangadharan DR, Garand D, Geurts F, Gibson A, Girard M, Gliske S, Greiner L, Grosnick D, Gunarathne DS, Guo Y, Gupta A, Gupta S, Guryn W, Haag B, Hamed A, Han LX, Haque R, Harris JW, Heppelmann S, Hirsch A, Hoffmann GW, Hofman DJ, Horvat S, Huang B, Huang HZ, Huang X, Huck P, Humanic TJ, Igo G, Jacobs WW, Jang H, Judd EG, Kabana S, Kalinkin D, Kang K, Kauder K, Ke HW, Keane D, Kechechyan A, Kesich A, Khan ZH, Kikola DP, Kisel I, Kisiel A, Koetke DD, Kollegger T, Konzer J, Koralt I, Kotchenda L, Kraishan AF, Kravtsov P, Krueger K, Kulakov I, Kumar L, Kycia RA, Lamont MAC, Landgraf JM, Landry KD, Lauret J, Lebedev A, Lednicky R, Lee JH, Levine MJ, Li C, Li W, Li X, Li X, Li Y, Li ZM, Lisa MA, Liu F, Ljubicic T, Llope WJ, Lomnitz M, Longacre RS, Luo X, Ma GL, Ma YG, Madagodagettige Don DMMD, Mahapatra DP, Majka R, Margetis S, Markert C, Masui H, Matis HS, McDonald D, McShane TS, Minaev NG, Mioduszewski S, Mohanty B, Mondal MM, Morozov DA, Mustafa MK, Nandi BK, Nasim M, Nayak TK, Nelson JM, Nigmatkulov G, Nogach LV, Noh SY, Novak J, Nurushev SB, Odyniec G, Ogawa A, Oh K, Ohlson A, Okorokov V, Oldag EW, Olvitt DL, Pachr M, Page BS, Pal SK, Pan YX, Pandit Y, Panebratsev Y, Pawlak T, Pawlik B, Pei H, Perkins C, Peryt W, Pile P, Planinic M, Pluta J, Poljak N, Porter J, Poskanzer AM, Pruthi NK, Przybycien M, Pujahari PR, Putschke J, Qiu H, Quintero A, Ramachandran S, Raniwala R, Raniwala S, Ray RL, Riley CK, Ritter HG, Roberts JB, Rogachevskiy OV, Romero JL, Ross JF, Roy A, Ruan L, Rusnak J, Rusnakova O, Sahoo NR, Sahu PK, Sakrejda I, Salur S, Sandweiss J, Sangaline E, Sarkar A, Schambach J, Scharenberg RP, Schmah AM, Schmidke WB, Schmitz N, Seger J, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao M, Sharma B, Shen WQ, Shi SS, Shou QY, Sichtermann EP, Singaraju RN, Skoby MJ, Smirnov D, Smirnov N, Solanki D, Sorensen P, Spinka HM, Srivastava B, Stanislaus TDS, Stevens JR, Stock R, Strikhanov M, Stringfellow B, Sumbera M, Sun X, Sun XM, Sun Y, Sun Z, Surrow B, Svirida DN, Symons TJM, Szelezniak MA, Takahashi J, Tang AH, Tang Z, Tarnowsky T, Thomas JH, Timmins AR, Tlusty D, Tokarev M, Trentalange S, Tribble RE, Tribedy P, Trzeciak BA, Tsai OD, Turnau J, Ullrich T, Underwood DG, Van Buren G, van Nieuwenhuizen G, Vandenbroucke M, Vanfossen JA, Varma R, Vasconcelos GMS, Vasiliev AN, Vertesi R, Videbæk F, Viyogi YP, Vokal S, Vossen A, Wada M, Wang F, Wang G, Wang H, Wang JS, Wang XL, Wang Y, Wang Y, Webb G, Webb JC, Westfall GD, Wieman H, Wissink SW, Witt R, Wu YF, Xiao Z, Xie W, Xin K, Xu H, Xu J, Xu N, Xu QH, Xu Y, Xu Z, Yan W, Yang C, Yang Y, Yang Y, Ye Z, Yepes P, Yi L, Yip K, Yoo IK, Yu N, Zawisza Y, Zbroszczyk H, Zha W, Zhang JB, Zhang JL, Zhang S, Zhang XP, Zhang Y, Zhang ZP, Zhao F, Zhao J, Zhong C, Zhu X, Zhu YH, Zoulkarneeva Y, Zyzak M. Beam-energy dependence of the directed flow of protons, antiprotons, and pions in Au+Au collisions. PHYSICAL REVIEW LETTERS 2014; 112:162301. [PMID: 24815640 DOI: 10.1103/physrevlett.112.162301] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2014] [Indexed: 06/03/2023]
Abstract
Rapidity-odd directed flow (v1) measurements for charged pions, protons, and antiprotons near midrapidity (y=0) are reported in sNN=7.7, 11.5, 19.6, 27, 39, 62.4, and 200 GeV Au+Au collisions as recorded by the STAR detector at the Relativistic Heavy Ion Collider. At intermediate impact parameters, the proton and net-proton slope parameter dv1/dy|y=0 shows a minimum between 11.5 and 19.6 GeV. In addition, the net-proton dv1/dy|y=0 changes sign twice between 7.7 and 39 GeV. The proton and net-proton results qualitatively resemble predictions of a hydrodynamic model with a first-order phase transition from hadronic matter to deconfined matter, and differ from hadronic transport calculations.
Collapse
|
265
|
Wei C, Lu J, Xu L, Liu G, Wang Z, Zhao F, Zhang L, Han X, Du L, Liu C. Genetic structure of Chinese indigenous goats and the special geographical structure in the Southwest China as a geographic barrier driving the fragmentation of a large population. PLoS One 2014; 9:e94435. [PMID: 24718092 PMCID: PMC3981790 DOI: 10.1371/journal.pone.0094435] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2013] [Accepted: 03/17/2014] [Indexed: 01/02/2023] Open
Abstract
Background China has numerous native domestic goat breeds, however, extensive studies are focused on the genetic diversity within the fewer breeds and limited regions, the population demograogic history and origin of Chinese goats are still unclear. The roles of geographical structure have not been analyzed in Chinese goat domestic process. In this study, the genetic relationships of Chinese indigenous goat populations were evaluated using 30 microsatellite markers. Methodology/Principal Findings Forty Chinese indigenous populations containing 2078 goats were sampled from different geographic regions of China. Moderate genetic diversity at the population level (HS of 0.644) and high population diversity at the species level (HT value of 0.737) were estimated. Significant moderate population differentiation was detected (FST value of 0.129). Significant excess homozygosity (FIS of 0.105) and recent population bottlenecks were detected in thirty-six populations. Neighbour-joining tree, principal components analysis and Bayesian clusters all revealed that Chinese goat populations could be subdivided into at least four genetic clusters: Southwest China, South China, Northwest China and East China. It was observed that the genetic diversity of Northern China goats was highest among these clusters. The results here suggested that the goat populations in Southwest China might be the earliest domestic goats in China. Conclusions/Significance Our results suggested that the current genetic structure of Chinese goats were resulted from the special geographical structure, especially in the Western China, and the Western goat populations had been separated by the geographic structure (Hengduan Mountains and Qinling Mountains-Huaihe River Line) into two clusters: the Southwest and Northwest. It also indicated that the current genetic structure was caused by the geographical origin mainly, in close accordance with the human’s migration history throughout China. This study provides a fundamental genetic profile for the conservation of these populations and better to understand the domestication process and origin of Chinese goats.
Collapse
|
266
|
Adamczyk L, Adkins JK, Agakishiev G, Aggarwal MM, Ahammed Z, Alekseev I, Alford J, Anson CD, Aparin A, Arkhipkin D, Aschenauer EC, Averichev GS, Banerjee A, Beavis DR, Bellwied R, Bhasin A, Bhati AK, Bhattarai P, Bichsel H, Bielcik J, Bielcikova J, Bland LC, Bordyuzhin IG, Borowski W, Bouchet J, Brandin AV, Brovko SG, Bültmann S, Bunzarov I, Burton TP, Butterworth J, Caines H, Calderón de la Barca Sánchez M, Cebra D, Cendejas R, Cervantes MC, Chaloupka P, Chang Z, Chattopadhyay S, Chen HF, Chen JH, Chen L, Cheng J, Cherney M, Chikanian A, Christie W, Chwastowski J, Codrington MJM, Contin G, Cramer JG, Crawford HJ, Cui X, Das S, Davila Leyva A, De Silva LC, Debbe RR, Dedovich TG, Deng J, Derevschikov AA, Derradi de Souza R, Dhamija S, di Ruzza B, Didenko L, Dilks C, Ding F, Djawotho P, Dong X, Drachenberg JL, Draper JE, Du CM, Dunkelberger LE, Dunlop JC, Efimov LG, Engelage J, Engle KS, Eppley G, Eun L, Evdokimov O, Eyser O, Fatemi R, Fazio S, Fedorisin J, Filip P, Finch E, Fisyak Y, Flores CE, Gagliardi CA, Gangadharan DR, Garand D, Geurts F, Gibson A, Girard M, Gliske S, Greiner L, Grosnick D, Gunarathne DS, Guo Y, Gupta A, Gupta S, Guryn W, Haag B, Hamed A, Han LX, Haque R, Harris JW, Heppelmann S, Hirsch A, Hoffmann GW, Hofman DJ, Horvat S, Huang B, Huang HZ, Huang X, Huck P, Humanic TJ, Igo G, Jacobs WW, Jang H, Judd EG, Kabana S, Kalinkin D, Kang K, Kauder K, Ke HW, Keane D, Kechechyan A, Kesich A, Khan ZH, Kikola DP, Kisel I, Kisiel A, Koetke DD, Kollegger T, Konzer J, Koralt I, Kotchenda L, Kraishan AF, Kravtsov P, Krueger K, Kulakov I, Kumar L, Kycia RA, Lamont MAC, Landgraf JM, Landry KD, Lauret J, Lebedev A, Lednicky R, Lee JH, LeVine MJ, Li C, Li W, Li X, Li X, Li Y, Li ZM, Lisa MA, Liu F, Ljubicic T, Llope WJ, Lomnitz M, Longacre RS, Luo X, Ma GL, Ma YG, Madagodagettige Don DMMD, Mahapatra DP, Majka R, Margetis S, Markert C, Masui H, Matis HS, McDonald D, McShane TS, Minaev NG, Mioduszewski S, Mohanty B, Mondal MM, Morozov DA, Mustafa MK, Nandi BK, Nasim M, Nayak TK, Nelson JM, Nigmatkulov G, Nogach LV, Noh SY, Novak J, Nurushev SB, Odyniec G, Ogawa A, Oh K, Ohlson A, Okorokov V, Oldag EW, Olvitt DL, Pachr M, Page BS, Pal SK, Pan YX, Pandit Y, Panebratsev Y, Pawlak T, Pawlik B, Pei H, Perkins C, Peryt W, Pile P, Planinic M, Pluta J, Poljak N, Porter J, Poskanzer AM, Pruthi NK, Przybycien M, Pujahari PR, Putschke J, Qiu H, Quintero A, Ramachandran S, Raniwala R, Raniwala S, Ray RL, Riley CK, Ritter HG, Roberts JB, Rogachevskiy OV, Romero JL, Ross JF, Roy A, Ruan L, Rusnak J, Rusnakova O, Sahoo NR, Sahu PK, Sakrejda I, Salur S, Sandweiss J, Sangaline E, Sarkar A, Schambach J, Scharenberg RP, Schmah AM, Schmidke WB, Schmitz N, Seger J, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao M, Sharma B, Shen WQ, Shi SS, Shou QY, Sichtermann EP, Singaraju RN, Skoby MJ, Smirnov D, Smirnov N, Solanki D, Sorensen P, Spinka HM, Srivastava B, Stanislaus TDS, Stevens JR, Stock R, Strikhanov M, Stringfellow B, Sumbera M, Sun X, Sun XM, Sun Y, Sun Z, Surrow B, Svirida DN, Symons TJM, Szelezniak MA, Takahashi J, Tang AH, Tang Z, Tarnowsky T, Thomas JH, Timmins AR, Tlusty D, Tokarev M, Trentalange S, Tribble RE, Tribedy P, Trzeciak BA, Tsai OD, Turnau J, Ullrich T, Underwood DG, Van Buren G, van Nieuwenhuizen G, Vandenbroucke M, Vanfossen JA, Varma R, Vasconcelos GMS, Vasiliev AN, Vertesi R, Videbæk F, Viyogi YP, Vokal S, Vossen A, Wada M, Wang F, Wang G, Wang H, Wang JS, Wang XL, Wang Y, Wang Y, Webb G, Webb JC, Westfall GD, Wieman H, Wissink SW, Witt R, Wu YF, Xiao Z, Xie W, Xin K, Xu H, Xu J, Xu N, Xu QH, Xu Y, Xu Z, Yan W, Yang C, Yang Y, Yang Y, Ye Z, Yepes P, Yi L, Yip K, Yoo IK, Yu N, Zawisza Y, Zbroszczyk H, Zha W, Zhang JB, Zhang JL, Zhang S, Zhang XP, Zhang Y, Zhang ZP, Zhao F, Zhao J, Zhong C, Zhu X, Zhu YH, Zoulkarneeva Y, Zyzak M. Jet-hadron correlations in √[s(NN)]=200 GeV p+p and central Au+Au collisions. PHYSICAL REVIEW LETTERS 2014; 112:122301. [PMID: 24724645 DOI: 10.1103/physrevlett.112.122301] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2013] [Indexed: 06/03/2023]
Abstract
Azimuthal angular correlations of charged hadrons with respect to the axis of a reconstructed (trigger) jet in Au+Au and p+p collisions at √[s(NN)]=200 GeV in STAR are presented. The trigger jet population in Au+Au collisions is biased toward jets that have not interacted with the medium, allowing easier matching of jet energies between Au+Au and p+p collisions while enhancing medium effects on the recoil jet. The associated hadron yield of the recoil jet is significantly suppressed at high transverse momentum (pTassoc) and enhanced at low pTassoc in 0%-20% central Au+Au collisions compared to p+p collisions, which is indicative of medium-induced parton energy loss in ultrarelativistic heavy-ion collisions.
Collapse
|
267
|
Guo G, Zhao F, Wang Y, Zhang Y, Du L, Su G. Comparison of single-trait and multiple-trait genomic prediction models. BMC Genet 2014; 15:30. [PMID: 24593261 PMCID: PMC3975852 DOI: 10.1186/1471-2156-15-30] [Citation(s) in RCA: 97] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2013] [Accepted: 02/26/2014] [Indexed: 11/30/2022] Open
Abstract
Background In this study, a single-trait genomic model (STGM) is compared with a multiple-trait genomic model (MTGM) for genomic prediction using conventional estimated breeding values (EBVs) calculated using a conventional single-trait and multiple-trait linear mixed models as the response variables. Three scenarios with and without missing data were simulated; no missing data, 90% missing data in a trait with high heritability, and 90% missing data in a trait with low heritability. The simulated genome had a length of 500 cM with 5000 equally spaced single nucleotide polymorphism markers and 300 randomly distributed quantitative trait loci (QTL). The true breeding values of each trait were determined using 200 of the QTLs, and the remaining 100 QTLs were assumed to affect both the high (trait I with heritability of 0.3) and the low (trait II with heritability of 0.05) heritability traits. The genetic correlation between traits I and II was 0.5, and the residual correlation was zero. Results The results showed that when there were no missing records, MTGM and STGM gave the same reliability for the genomic predictions for trait I while, for trait II, MTGM performed better that STGM. When there were missing records for one of the two traits, MTGM performed much better than STGM. In general, the difference in reliability of genomic EBVs predicted using the EBV response variables estimated from either the multiple-trait or single-trait models was relatively small for the trait without missing data. However, for the trait with missing data, the EBV response variable obtained from the multiple-trait model gave a more reliable genomic prediction than the EBV response variable from the single-trait model. Conclusions These results indicate that MTGM performed better than STGM for the trait with low heritability and for the trait with a limited number of records. Even when the EBV response variable was obtained using the multiple-trait model, the genomic prediction using MTGM was more reliable than the prediction using the STGM.
Collapse
|
268
|
Guo G, Zhao F, Wang Y, Zhang Y, Du L, Su G. Comparison of single-trait and multiple-trait genomic prediction models. BMC Genet 2014; 15:30. [PMID: 24593261 DOI: 10.1186/1471-2156-1115-1130] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2013] [Accepted: 02/26/2014] [Indexed: 05/28/2023] Open
Abstract
BACKGROUND In this study, a single-trait genomic model (STGM) is compared with a multiple-trait genomic model (MTGM) for genomic prediction using conventional estimated breeding values (EBVs) calculated using a conventional single-trait and multiple-trait linear mixed models as the response variables. Three scenarios with and without missing data were simulated; no missing data, 90% missing data in a trait with high heritability, and 90% missing data in a trait with low heritability. The simulated genome had a length of 500 cM with 5000 equally spaced single nucleotide polymorphism markers and 300 randomly distributed quantitative trait loci (QTL). The true breeding values of each trait were determined using 200 of the QTLs, and the remaining 100 QTLs were assumed to affect both the high (trait I with heritability of 0.3) and the low (trait II with heritability of 0.05) heritability traits. The genetic correlation between traits I and II was 0.5, and the residual correlation was zero. RESULTS The results showed that when there were no missing records, MTGM and STGM gave the same reliability for the genomic predictions for trait I while, for trait II, MTGM performed better that STGM. When there were missing records for one of the two traits, MTGM performed much better than STGM. In general, the difference in reliability of genomic EBVs predicted using the EBV response variables estimated from either the multiple-trait or single-trait models was relatively small for the trait without missing data. However, for the trait with missing data, the EBV response variable obtained from the multiple-trait model gave a more reliable genomic prediction than the EBV response variable from the single-trait model. CONCLUSIONS These results indicate that MTGM performed better than STGM for the trait with low heritability and for the trait with a limited number of records. Even when the EBV response variable was obtained using the multiple-trait model, the genomic prediction using MTGM was more reliable than the prediction using the STGM.
Collapse
|
269
|
Schilling B, Sondermann W, Zhao F, Griewank KG, Livingstone E, Sucker A, Zelba H, Weide B, Trefzer U, Wilhelm T, Loquai C, Berking C, Hassel J, Kähler KC, Utikal J, Al Ghazal P, Gutzmer R, Goldinger SM, Zimmer L, Paschen A, Hillen U, Schadendorf D. Differential influence of vemurafenib and dabrafenib on patients' lymphocytes despite similar clinical efficacy in melanoma. Ann Oncol 2014; 25:747-753. [PMID: 24504444 PMCID: PMC4433519 DOI: 10.1093/annonc/mdt587] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2013] [Revised: 10/21/2013] [Accepted: 12/02/2013] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Since the majority of melanomas eventually become resistant and progress, combining selective BRAF inhibitors (BRAFi) with immunotherapies has been proposed to achieve more durable treatment responses. Here, we explored the impact of selective BRAFi on the hosts' immune system. PATIENTS AND METHODS Clinical data, whole blood counts (WBC) and serum lactate dehydrogenase (LDH) of 277 vemurafenib- and 65 dabrafenib-treated melanoma patients were evaluated. The frequency and phenotype of lymphocyte subpopulations were determined by flow cytometry while T cell cytokine secretion was measured by multiplex assays. RESULTS Progression-free survival (PFS) as well as overall survival (OS) were similar in patients treated with either BRAFi. High pretreatment LDH was associated with shorter PFS and OS in both groups. During therapy, peripheral lymphocytes decreased by 24.3% (median, P < 0.0001) in vemurafenib-treated patients but remained unchanged in dabrafenib-treated patients (+1.2%, P = 0.717). Differentiation of peripheral lymphocytes of vemurafenib-treated patients showed a significant decrease in CD4(+) T cells (P < 0.05). Within CD4(+) T cells obtained during treatment, an increase in CCR7(+)CD45RA(+) (naïve) and a decrease in CCR7(+)CD45RA(-) (central memory) populations were found (P < 0.01 for both). Furthermore, secretion of interferon-γ and interleukin-9 by CD4(+) T cells was significantly lower in samples obtained during vemurafenib treatment compared with baseline samples. CONCLUSION While both compounds have comparable clinical efficacy, vemurafenib but not dabrafenib decreases patients peripheral lymphocyte counts and alters CD4(+) T cell phenotype and function. Thus, selective BRAFi can significantly affect patients' peripheral lymphocyte populations. Fully understanding these effects could be critical for successfully implementing combinatorial therapies of BRAFi with immunomodulatory agents.
Collapse
|
270
|
Zhao F, Ren LQ, Mi BM, Tan HZ, Zhao JT, Li H, Zhang HF, Zhang ZY. Developing a computer-controlled simulated digestion system to predict the concentration of metabolizable energy of feedstuffs for rooster. J Anim Sci 2014; 92:1537-47. [PMID: 24663164 DOI: 10.2527/jas.2013-6636] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Four experiments were conducted to evaluate the effectiveness of a computer-controlled simulated digestion system (CCSDS) for predicting apparent metabolizable energy (AME) and true metabolizable energy (TME) using in vitro digestible energy (IVDE) content of feeds for roosters. In Exp. 1, the repeatability of the IVDE assay was tested in corn, wheat, rapeseed meal, and cottonseed meal with 3 assays of each sample and each with 5 replicates of the same sample. In Exp. 2, the additivity of IVDE concentration in corn, soybean meal, and cottonseed meal was tested by comparing determined IVDE values of the complete diet with values predicted from measurements on individual ingredients. In Exp. 3, linear models to predict AME and TME based on IVDE were developed with 16 calibration samples. In Exp. 4, the accuracy of prediction models was tested by the differences between predicted and determined values for AME or TME of 6 ingredients and 4 diets. In Exp. 1, the mean CV of IVDE was 0.88% (range = 0.20 to 2.14%) for corn, wheat, rapeseed meal, and cottonseed meal. No difference in IVDE was observed between 3 assays of an ingredient, indicating that the IVDE assay is repeatable under these conditions. In Exp. 2, minimal differences (<21 kcal/kg) were observed between determined and calculated IVDE of 3 complete diets formulated with corn, soybean meal, and cottonseed meal, demonstrating that the IVDE values are additive in a complete diet. In Exp. 3, linear relationships between AME and IVDE and between TME and IVDE were observed in 16 calibration samples: AME = 1.062 × IVDE - 530 (R(2) = 0.97, residual standard deviation [RSD] = 146 kcal/kg, P < 0.001) and TME = 1.050 × IVDE - 16 (R(2) = 0.97, RSD = 148 kcal/kg, P < 0.001). Differences of less than 100 kcal/kg were observed between determined and predicted values in 10 and 9 of the 16 calibration samples for AME and TME, respectively. In Exp. 4, differences of less than 100 kcal/kg between determined and predicted values were observed in 3 and 4 of the 6 ingredient samples for AME and TME, respectively, and all 4 diets showed the differences of less than 25 kcal/kg between determined and predicted AME or TME. Our results indicate that the CCSDS is repeatable and additive. This system accurately predicted AME or TME on 17 of the 26 samples and may be a promising method to predict the energetic values of feed for poultry.
Collapse
|
271
|
Zhao F, Stephens SDG, Ishak WS, Meyer-Bisch C. The characteristics of Audioscan and DPOAE measures in tinnitus patients with normal hearing thresholds. Int J Audiol 2014; 53:309-17. [DOI: 10.3109/14992027.2013.868047] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
|
272
|
Yu T, Li J, Yan M, Liu L, Lin H, Zhao F, Sun L, Zhang Y, Cui Y, Zhang F, Li J, He X, Yao M. MicroRNA-193a-3p and -5p suppress the metastasis of human non-small-cell lung cancer by downregulating the ERBB4/PIK3R3/mTOR/S6K2 signaling pathway. Oncogene 2014; 34:413-23. [PMID: 24469061 DOI: 10.1038/onc.2013.574] [Citation(s) in RCA: 208] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2013] [Revised: 12/09/2013] [Accepted: 12/10/2013] [Indexed: 12/13/2022]
Abstract
The metastatic cascade is a complex and multistep process with many potential barriers. Recent evidence has shown that microRNAs (miRNAs) are involved in carcinogenesis and tumor progression in non-small-cell lung cancer (NSCLC). In this study, by comparing the miRNA expression profiles of SPC-A-1sci (high metastatic) and SPC-A-1 (weakly metastatic) cells, we demonstrated that the downregulation and function of miR-193a-3p and miR-193a-5p in NSCLC metastasis and the expression of these miRNAs was suppressed in NSCLC compared with corresponding non-tumorous tissues. Decreased miR-193a-3p/5p expression was significantly associated with tumor node metastasis (TNM) and lymph node metastasis. Furthermore, functional assays showed that the overexpression of miR-193a-3p/5p inhibited NSCLC cell migration, invasion and epithelial-mesenchymal transition (EMT) in vitro and lung metastasis formation in vivo. In addition, we discovered that ERBB4 and S6K2 were the direct targets of miR-193a-3p and that PIK3R3 and mTOR were the direct targets of miR-193a-5p in NSCLC. We also observed that miR-193a-3p/5p could inactivate the AKT/mTOR signaling pathway. Thus, miR-193a-3p/5p functions as a tumor suppressor and has an important role in NSCLC metastasis through ERBB signaling pathway.
Collapse
|
273
|
Adamczyk L, Adkins JK, Agakishiev G, Aggarwal MM, Ahammed Z, Alekseev I, Alford J, Anson CD, Aparin A, Arkhipkin D, Aschenauer EC, Averichev GS, Balewski J, Banerjee A, Barnovska Z, Beavis DR, Bellwied R, Bhasin A, Bhati AK, Bhattarai P, Bichsel H, Bielcik J, Bielcikova J, Bland LC, Bordyuzhin IG, Borowski W, Bouchet J, Brandin AV, Brovko SG, Bültmann S, Bunzarov I, Burton TP, Butterworth J, Caines H, Calderón de la Barca Sánchez M, Cebra D, Cendejas R, Cervantes MC, Chaloupka P, Chang Z, Chattopadhyay S, Chen HF, Chen JH, Chen L, Cheng J, Cherney M, Chikanian A, Christie W, Chwastowski J, Codrington MJM, Corliss R, Cramer JG, Crawford HJ, Cui X, Das S, Davila Leyva A, De Silva LC, Debbe RR, Dedovich TG, Deng J, Derevschikov AA, Derradi de Souza R, Dhamija S, di Ruzza B, Didenko L, Dilks C, Ding F, Djawotho P, Dong X, Drachenberg JL, Draper JE, Du CM, Dunkelberger LE, Dunlop JC, Efimov LG, Engelage J, Engle KS, Eppley G, Eun L, Evdokimov O, Fatemi R, Fazio S, Fedorisin J, Filip P, Finch E, Fisyak Y, Flores CE, Gagliardi CA, Gangadharan DR, Garand D, Geurts F, Gibson A, Girard M, Gliske S, Grosnick D, Guo Y, Gupta A, Gupta S, Guryn W, Haag B, Hajkova O, Hamed A, Han LX, Haque R, Harris JW, Hays-Wehle JP, Heppelmann S, Hirsch A, Hoffmann GW, Hofman DJ, Horvat S, Huang B, Huang HZ, Huck P, Humanic TJ, Igo G, Jacobs WW, Jang H, Judd EG, Kabana S, Kalinkin D, Kang K, Kauder K, Ke HW, Keane D, Kechechyan A, Kesich A, Khan ZH, Kikola DP, Kisel I, Kisiel A, Koetke DD, Kollegger T, Konzer J, Koralt I, Korsch W, Kotchenda L, Kravtsov P, Krueger K, Kulakov I, Kumar L, Kycia RA, Lamont MAC, Landgraf JM, Landry KD, Lauret J, Lebedev A, Lednicky R, Lee JH, Leight W, LeVine MJ, Li C, Li W, Li X, Li X, Li Y, Li ZM, Lima LM, Lisa MA, Liu F, Ljubicic T, Llope WJ, Longacre RS, Luo X, Ma GL, Ma YG, Madagodagettige Don DMMD, Mahapatra DP, Majka R, Margetis S, Markert C, Masui H, Matis HS, McDonald D, McShane TS, Minaev NG, Mioduszewski S, Mohanty B, Mondal MM, Morozov DA, Munhoz MG, Mustafa MK, Nandi BK, Nasim M, Nayak TK, Nelson JM, Nogach LV, Noh SY, Novak J, Nurushev SB, Odyniec G, Ogawa A, Oh K, Ohlson A, Okorokov V, Oldag EW, Oliveira RAN, Pachr M, Page BS, Pal SK, Pan YX, Pandit Y, Panebratsev Y, Pawlak T, Pawlik B, Pei H, Perkins C, Peryt W, Peterson A, Pile P, Planinic M, Pluta J, Plyku D, Poljak N, Porter J, Poskanzer AM, Pruthi NK, Przybycien M, Pujahari PR, Putschke J, Qiu H, Quintero A, Ramachandran S, Raniwala R, Raniwala S, Ray RL, Riley CK, Ritter HG, Roberts JB, Rogachevskiy OV, Romero JL, Ross JF, Roy A, Ruan L, Rusnak J, Sahoo NR, Sahu PK, Sakrejda I, Salur S, Sandacz A, Sandweiss J, Sangaline E, Sarkar A, Schambach J, Scharenberg RP, Schmah AM, Schmidke WB, Schmitz N, Seger J, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao M, Sharma B, Shen WQ, Shi SS, Shou QY, Sichtermann EP, Singaraju RN, Skoby MJ, Smirnov D, Smirnov N, Solanki D, Sorensen P, deSouza UG, Spinka HM, Srivastava B, Stanislaus TDS, Stevens JR, Stock R, Strikhanov M, Stringfellow B, Suaide AAP, Sumbera M, Sun X, Sun XM, Sun Y, Sun Z, Surrow B, Svirida DN, Symons TJM, Szanto de Toledo A, Takahashi J, Tang AH, Tang Z, Tarnowsky T, Thomas JH, Timmins AR, Tlusty D, Tokarev M, Trentalange S, Tribble RE, Tribedy P, Trzeciak BA, Tsai OD, Turnau J, Ullrich T, Underwood DG, Van Buren G, van Nieuwenhuizen G, Vanfossen JA, Varma R, Vasconcelos GMS, Vasiliev AN, Vertesi R, Videbæk F, Viyogi YP, Vokal S, Voloshin SA, Vossen A, Wada M, Walker M, Wang F, Wang G, Wang H, Wang JS, Wang XL, Wang Y, Wang Y, Webb G, Webb JC, Westfall GD, Wieman H, Wissink SW, Witt R, Wu YF, Xiao Z, Xie W, Xin K, Xu H, Xu N, Xu QH, Xu Y, Xu Z, Yan W, Yang C, Yang Y, Yang Y, Ye Z, Yepes P, Yi L, Yip K, Yoo IK, Zawisza Y, Zbroszczyk H, Zha W, Zhang JB, Zhang S, Zhang XP, Zhang Y, Zhang ZP, Zhao F, Zhao J, Zhong C, Zhu X, Zhu YH, Zoulkarneeva Y, Zyzak M. Energy dependence of moments of net-proton multiplicity distributions at RHIC. PHYSICAL REVIEW LETTERS 2014; 112:032302. [PMID: 24484135 DOI: 10.1103/physrevlett.112.032302] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2013] [Indexed: 06/03/2023]
Abstract
We report the beam energy (sqrt[sNN]=7.7-200 GeV) and collision centrality dependence of the mean (M), standard deviation (σ), skewness (S), and kurtosis (κ) of the net-proton multiplicity distributions in Au+Au collisions. The measurements are carried out by the STAR experiment at midrapidity (|y|<0.5) and within the transverse momentum range 0.4<pT<0.8 GeV/c in the first phase of the Beam Energy Scan program at the Relativistic Heavy Ion Collider. These measurements are important for understanding the quantum chromodynamic phase diagram. The products of the moments, Sσ and κσ2, are sensitive to the correlation length of the hot and dense medium created in the collisions and are related to the ratios of baryon number susceptibilities of corresponding orders. The products of moments are found to have values significantly below the Skellam expectation and close to expectations based on independent proton and antiproton production. The measurements are compared to a transport model calculation to understand the effect of acceptance and baryon number conservation and also to a hadron resonance gas model.
Collapse
|
274
|
Adamczyk L, Adkins J, Agakishiev G, Aggarwal M, Ahammed Z, Alekseev I, Alford J, Anson C, Aparin A, Arkhipkin D, Aschenauer E, Averichev G, Balewski J, Banerjee A, Barber B, Barnovska Z, Beavis D, Bellwied R, Betancourt M, Bhasin A, Bhati A, Bhattarai P, Bichsel H, Bielcik J, Bielcikova J, Bland L, Bordyuzhin I, Borowski W, Bouchet J, Brandin A, Bridgeman A, Brovko S, Bültmann S, Bunzarov I, Burton T, Butterworth J, Caines H, Calderón de la Barca Sánchez M, Cebra D, Cendejas R, Cervantes M, Chaloupka P, Chang Z, Chattopadhyay S, Chen H, Chen J, Chen L, Cheng J, Cherney M, Chikanian A, Christie W, Chwastowski J, Codrington M, Corliss R, Cramer J, Crawford H, Cui X, Das S, Davila Leyva A, De Silva L, Debbe R, Dedovich T, Deng J, Derevschikov A, Derradi de Souza R, Dhamija S, di Ruzza B, Didenko L, Dilks C, Ding F, Dion A, Djawotho P, Dong X, Drachenberg J, Draper J, Du C, Dunkelberger L, Dunlop J, Efimov L, Engelage J, Engle K, Eppley G, Eun L, Evdokimov O, Fatemi R, Fazio S, Fedorisin J, Fersch R, Filip P, Finch E, Fisyak Y, Flores C, Gagliardi C, Gangadharan D, Garand D, Geurts F, Gibson A, Girard M, Gliske S, Grosnick D, Guo Y, Gupta A, Gupta S, Guryn W, Haag B, Hajkova O, Hamed A, Han LX, Haque R, Harris J, Hays-Wehle J, He W, Heppelmann S, Hirsch A, Hoffmann G, Hofman D, Horvat S, Huang B, Huang H, Huck P, Humanic T, Igo G, Jacobs W, Jang H, Jena C, Judd E, Kabana S, Kalinkin D, Kang K, Kauder K, Ke H, Keane D, Kechechyan A, Kesich A, Khan Z, Kikola D, Kisel I, Kisiel A, Koetke D, Kollegger T, Konzer J, Koralt I, Korsch W, Kotchenda L, Kravtsov P, Krueger K, Kulakov I, Kumar L, Kycia R, Lamont M, Landgraf J, Landry K, Lauret J, Lebedev A, Lednicky R, Lee J, Leight W, LeVine M, Li C, Li W, Li X, Li X, Li Y, Li Z, Lima L, Lisa M, Liu F, Ljubicic T, Llope W, Longacre R, Luo X, Ma G, Ma Y, Madagodagettige Don D, Mahapatra D, Majka R, Manweiler R, Margetis S, Markert C, Masui H, Matis H, McDonald D, McShane T, Minaev N, Mioduszewski S, Mohanty B, Mondal M, Morozov D, Munhoz M, Mustafa M, Naglis M, Nandi B, Nasim M, Nayak T, Nelson J, Nogach L, Noh S, Nord P, Novak J, Nurushev S, Odyniec G, Ogawa A, Oh K, Ohlson A, Okorokov V, Oldag E, Oliveira R, Olson D, Pachr M, Page B, Pal S, Pan Y, Pandit Y, Panebratsev Y, Pawlak T, Pawlik B, Pei H, Perkins C, Peryt W, Peterson A, Pile P, Planinic M, Pluta J, Plyku D, Pochron W, Poljak N, Porter J, Poskanzer A, Powell C, Pruneau C, Pruthi N, Przybycien M, Pujahari P, Putschke J, Qiu H, Ramachandran S, Raniwala R, Raniwala S, Ray R, Riley C, Ritter H, Roberts J, Rogachevskiy O, Romero J, Ross J, Roy A, Ruan L, Rusnak J, Sahoo N, Sahu P, Sakrejda I, Salur S, Sandacz A, Sandweiss J, Sangaline E, Sarkar A, Schambach J, Scharenberg R, Schaub J, Schmah A, Schmidke W, Schmitz N, Seger J, Selyuzhenkov I, Seyboth P, Shah N, Shahaliev E, Shanmuganathan P, Shao M, Sharma B, Shen W, Shi S, Shou Q, Sichtermann E, Singaraju R, Skoby M, Smirnov D, Smirnov N, Solanki D, Sorensen P, deSouza U, Spinka H, Srivastava B, Stanislaus T, Stevens J, Stock R, Strikhanov M, Stringfellow B, Suaide A, Sumbera M, Sun X, Sun X, Sun Y, Sun Z, Surrow B, Svirida D, Symons T, Szanto de Toledo A, Takahashi J, Tang A, Tang Z, Tarnowsky T, Thomas J, Timmins A, Tlusty D, Tokarev M, Trentalange S, Tribble R, Tribedy P, Trzeciak B, Tsai O, Turnau J, Ullrich T, Underwood D, Van Buren G, van Nieuwenhuizen G, Vanfossen J, Varma R, Vasconcelos G, Vasiliev A, Vertesi R, Videbæk F, Viyogi Y, Vokal S, Voloshin S, Vossen A, Wada M, Walker M, Wang F, Wang G, Wang H, Wang J, Wang Q, Wang X, Wang Y, Wang Y, Webb G, Webb J, Westfall G, Wieman H, Wissink S, Witt R, Wu Y, Xiao Z, Xie W, Xin K, Xu H, Xu N, Xu Q, Xu W, Xu Y, Xu Z, Yan W, Yang C, Yang Y, Yang Y, Ye Z, Yepes P, Yi L, Yip K, Yoo IK, Zawisza Y, Zbroszczyk H, Zha W, Zhang J, Zhang S, Zhang X, Zhang Y, Zhang Z, Zhao F, Zhao J, Zhong C, Zhu X, Zhu Y, Zoulkarneeva Y, Zyzak M. Neutral pion cross section and spin asymmetries at intermediate pseudorapidity in polarized proton collisions ats=200 GeV. Int J Clin Exp Med 2014. [DOI: 10.1103/physrevd.89.012001] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
|
275
|
Fan XT, Zhao F, Ai Y, Andersen A, Hardy P, Ling F, Gerhardt GA, Zhang Z, Quintero JE. Cortical glutamate levels decrease in a non-human primate model of dopamine deficiency. Brain Res 2014; 1552:34-40. [PMID: 24398457 DOI: 10.1016/j.brainres.2013.12.035] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2013] [Revised: 12/19/2013] [Accepted: 12/29/2013] [Indexed: 11/28/2022]
Abstract
While Parkinson's disease is the result of dopaminergic dysfunction of the nigrostriatal system, the clinical manifestations of Parkinson's disease are brought about by alterations in multiple neural components, including cortical areas. We examined how 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) administration affected extracellular cortical glutamate levels by comparing glutamate levels in normal and MPTP-lesioned nonhuman primates (Macaca mulatta). Extracellular glutamate levels were measured using glutamate microelectrode biosensors. Unilateral MPTP-administration rendered the animals with hemiparkinsonian symptoms, including dopaminergic deficiencies in the substantia nigra and the premotor and motor cortices, and with statistically significant decreases in basal glutamate levels in the primary motor cortex on the side ipsilateral to the MPTP-lesion. These results suggest that the functional changes of the glutamatergic system, especially in the motor cortex, in models of Parkinson's disease could provide important insights into the mechanisms of this disease.
Collapse
|