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57. Fractionation of Moderate Molecular Weight Polysiloxanes by Centrifugal TLC

Author

Gupta, Shashi K., Sargent, Jonathan R., and Weber, William P.

Subjects
Chemistry, Analytic -- Research, Chromatography -- Usage, Chemistry
Abstract

Fractionation of polydispersed polysiloxanes (1-2 g) into narrow molecular weight fractions has been achieved by a rapid (30-60 min) convenient process, using the Cyclograph Centrifugal Chromatography System. These narrow molecular weight poly(dimethylsiloxane) fractions can be used as secondary standards for GPC.

Published
2001

58. Validating the New Results from the Next Generation of the NASA GEWEX SRB against the BSRN, GEBA, WRDC as well as the PMEL Data.

Author

Taiping Zhang, Stackhouse, Jr., Paul W., Gupta, Shashi K., Cox, Stephen J., and Mikovitz, J. Colleen

Subjects
RADIATION measurements, MICROWAVE measurements, MATHEMATICAL models, RADIATIVE transfer, FLUX (Energy), ATMOSPHERIC models, SURFACE of the earth
Abstract

The NASA GEWEX SRB project is moving toward the next generation, or Release 4, of its products as its algorithms are updated and new inputs from the ISCCP become available. This paper compares its early shortwave/longwave results with the surface-based BSRN, GEBA, WRDC as well as the PMEL data. The comparison statistics show that the new algorithms along with the new inputs appreciably improve the quality of the products. [ABSTRACT FROM AUTHOR]

Published
2017
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59. NASA/GEWEX Shortwave Surface Radiation Budget: Integrated Data Product with Reprocessed Radiance, Cloud, and Meteorology Inputs, and New Surface Albedo Treatment.

Author

Cox, Stephen J., Stackhouse Jr., Paul W., Gupta, Shashi K., Mikovitz, J. Colleen, and Taiping Zhang

Subjects
ATMOSPHERIC radiation, ALBEDO, ATMOSPHERIC aerosols, ICE clouds
Abstract

The NASA/GEWEX Surface Radiation Budget (SRB) project produces shortwave and longwave surface and top of atmosphere radiative fluxes for the 1983-near present time period. Spatial resolution is 1 degree. The current Release 3.0 (available at gewex-srb.larc.nasa.gov) uses the International Satellite Cloud Climatology Project (ISCCP) DX product for pixel level radiance and cloud information. This product is subsampled to 30 km. ISCCP is currently recalibrating and recomputing their entire data series, to be released as the H product, at 10km resolution. The ninefold increase in pixel number will allow SRB a higher resolution gridded product (e.g. 0.5 degree), as well as the production of pixel-level fluxes. Other key input improvements include a detailed aerosol history using the Max Planck Institute Aerosol Climatology (MAC), and temperature and moisture profiles from nnHIRS. [ABSTRACT FROM AUTHOR]

Published
2017
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60. State of the Climate in 2012

Author

Blunden, Jessica, Arndt, Derek S., Achberger, Christine, Ackerman, Stephen A., Albanil, Adelina, Alexander, P., Alfaro, Eric J., Allan, Rob, Alves, Lincoln M., Amador, Jorge A., Ambenje, Peter, Andrianjafinirina, Solonomenjanahary, Antonov, John, Aravequia, Jose A., Arendt, A., Arevalo, Juan, Ashik, I., Atheru, Zachary, Banzon, Viva, Baringer, Molly O., Barreira, Sandra, Barriopedro, David E., Beard, Grant, Becker, Andreas, Behrenfeld, Michael J., Bell, Gerald D., Benedetti, Angela, Bernhard, Germar, Berrisford, Paul, Berry, David I., Bhatt, U., Bidegain, Mario, Bindoff, Nathan, Bissolli, Peter, Blake, Eric S., Booneeady, Raj, Bosilovich, Michael, Box, J. E., Boyer, Tim, Braathen, Geir O., Bromwich, David H., Brown, R., Brown, L., Bruhwiler, Lori, Bulygina, Olga N., Burgess, D., Burrows, John, Calderon, Blanca, Camargo, Suzana J., Campbell, Jayaka, Cao, Y., Cappelen, J., Carrasco, Gualberto, Chambers, Don P., Chang A, L., Chappell, Petra, Chehade, Wissam, Cheliah, Muthuvel, Christiansen, Hanne H., Christy, John R., Ciais, Phillipe, Coelho, Caio A. S., Cogley, J. G., Colwell, Steve, Cross, J. N., Crouch, Jake, Cunningham, Stuart A., Dacic, Milan, Jeu, Richard A. M., Dekaa, Francis S., Demircan, Mesut, Derksen, C., Diamond, Howard J., Dlugokencky, Ed J., Dohan, Kathleen, Dolman, A. Johannes, Domingues, Catia M., Dong Shenfu, Dorigo, Wouter A., Drozdov, D. S., Duguay, Claude R., Dunn, Robert J. H., Duran-Quesada, Ana M., Dutton, Geoff S., Ehmann, Christian, Elkins, James W., Euscategui, Christian, Famiglietti, James S., Fang Fan, Fauchereau, Nicolas, Feely, Richard A., Fekete, Balazs M., Fenimore, Chris, Fioletov, Vitali E., Fogarty, Chris T., Fogt, Ryan L., Folland, Chris K., Foster, Michael J., Frajka-Williams, Eleanor, Franz, Bryan A., Frith, Stacey H., Frolov, I., Ganter, Catherine, Garzoli, Silvia, Geai, M. -L, Gerland, S., Gitau, Wilson, Gleason, Karin L., Gobron, Nadine, Goldenberg, Stanley B., Goni, Gustavo, Good, Simon A., Gottschalck, Jonathan, Gregg, Margarita C., Griffiths, Georgina, Grooss, Jens-Uwe, Guard, Charles Chip, Gupta, Shashi K., Hall, Bradley D., Halpert, Michael S., Harada, Yayoi, Hauri, C., Heidinger, Andrew K., Heikkila, Anu, Heim, Richard R., Heimbach, Patrick, Hidalgo, Hugo G., Hilburn, Kyle, Ho, Shu-Peng, Hobbs, Will R., Holgate, Simon, Hovsepyan, Anahit, Hu Zeng-Zhen, Hughes, P., Hurst, Dale F., Ingvaldsen, R., Inness, Antje, Jaimes, Ena, Jakobsson, Martin, James, Adamu I., Jeffries, Martin O., Johns, William E., Johnsen, Bjorn, Johnson, Gregory C., Johnson, Bryan, Jones, Luke T., Jumaux, Guillaume, Kabidi, Khadija, Kaiser, Johannes W., Kamga, Andre, Kang, Kyun-Kuk, Kanzow, Torsten O., Kao, Hsun-Ying, Keller, Linda M., Kennedy, John J., Key, J., Khatiwala, Samar, Pour, H. Kheyrollah, Kholodov, A. L., Khoshkam, Mahbobeh, Kijazi, Agnes, Kikuchi, T., Kim, B. -M, Kim, S. -J, Kimberlain, Todd B., Knaff, John A., Korshunova, Natalia N., Koskela, T., Kousky, Vernon E., Kramarova, Natalya, Kratz, David P., Krishfield, R., Kruger, Andries, Kruk, Michael C., Kumar, Arun, Lagerloef, Gary S. E., Lakkala, K., Lander, Mark A., Landsea, Chris W., Lankhorst, Matthias, Laurila, T., Lazzara, Matthew A., Lee, Craig, Leuliette, Eric, Levitus, Sydney, L Heureux, Michelle, Lieser, Jan, Lin, I-I, Liu, Y. Y., Liu, Y., Liu Hongxing, Liu Yanju, Lobato-Sanchez, Rene, Locarnini, Ricardo, Loeb, Norman G., Loeng, H., Long, Craig S., Lorrey, Andrew M., Luhunga, P., Lumpkin, Rick, Luo Jing-Jia, Lyman, John M., Macdonald, Alison M., Maddux, Brent C., Malekela, C., Manney, Gloria, Marchenko, S. S., Marengo, Jose A., Marotzke, Jochem, Marra, John J., Martinez-Gueingla, Rodney, Massom, Robert A., Mathis, Jeremy T., Mcbride, Charlotte, Mccarthy, Gerard, Mcvicar, Tim R., Mears, Carl, Meier, W., Meinen, Christopher S., Menendez, Melisa, Merrifield, Mark A., Mitchard, Edward, Mitchum, Gary T., Montzka, Stephen A., Morcrette, Jean-Jacques, Mote, Thomas, Muehle, Jens, Muehr, Bernhard, Mullan, A. Brett, Mueller, Rolf, Nash, Eric R., Nerem, R. Steven, Newlin, Michele L., Newman, Paul A., Ng Ongolo, H., Nieto, Juan Jose, Nishino, S., Nitsche, Helga, Noetzli, Jeannette, Oberman, N. G., Obregon, Andre, Ogallo, Laban A., Oludhe, Christopher S., Omar, Mohamed I., Overland, James, Oyunjargal, Lamjav, Parinussa, Robert M., Park, Geun-Ha, Park, E-Hyung, David Berry, Pasch, Richard J., Pascual-Ramirez, Reynaldo, Pelto, Mauri S., Penalba, Olga, Peng, L., Perovich, Don K., Pezza, Alexandre B., Phillips, David, Pickart, R., Pinty, Bernard, Pitts, Michael C., Purkey, Sarah G., Quegan, Shaun, Quintana, Juan, Rabe, B., Rahimzadeh, Fatemeh, Raholijao, Nirivololona, Raiva, I., Rajeevan, Madhavan, Ramiandrisoa, Voahanginirina, Ramos, Alexandre, Ranivoarissoa, Sahondra, Rayner, Nick A., Rayner, Darren, Razuveav, Vyacheslav N., Reagan, James, Reid, Phillip, Renwick, James, Revedekar, Jayashree, Richter-Menge, Jacqueline, Rivera, Ingrid L., Robinson, David A., Rodell, Matthew, Romanovsky, Vladimir E., Ronchail, Josyane, Rosenlof, Karen H., Sabine, Christopher L., Salvador, Mozar A., Sanchez-Lugo, Ahira, Santee, Michelle L., Sasgen, I., Sawaengphokhai, P., Sayouri, Amal, Scambos, Ted A., Schauer, U., Schemm, Jae, Schlosser, P., Schmid, Claudia, Schreck, Carl, Semiletov, Igor, Send, Uwe, Sensoy, Serhat, Setzer, Alberto, Severinghaus, Jeffrey, Shakhova, Natalia, Sharp, M., Shiklomanov, Nicolai I., Siegel, David A., Silva, Viviane B. S., Silva, Frabricio D. S., Sima, Fatou, Simeonov, Petio, Simmonds, I., Simmons, Adrian, Skansi, Maria, Smeed, David A., Smethie, W. M., Smith, Adam B., Smith, Cathy, Smith, Sharon L., Smith, Thomas M., Sokolov, V., Srivastava, A. K., Stackhouse, Paul W., Stammerjohn, Sharon, Steele, M., Steffen, Konrad, Steinbrecht, Wolfgang, Stephenson, Tannecia, Su, J., Svendby, T., Sweet, William, Takahashi, Taro, Tanabe, Raymond M., Taylor, Michael A., Tedesco, Marco, Teng, William L., Thepaut, Jean-Noel, Thiaw, Wassila M., Thoman, R., Thompson, Philip, Thorne, Peter W., Timmermans, M. -L, Tobin, Skie, Toole, J., Trewin, Blair C., Trigo, Ricardo M., Trotman, Adrian, Tschudi, M., Wal, Roderik S. W., Werf, Guido R., Vautard, Robert, Vazquez, J. L., Vieira, Goncalo, Vincent, Lucie, Vose, Russ S., Wagner, Wolfgang W., Wahr, John, Walsh, J., Wang Junhong, Wang Chunzai, Wang, M., Wang Sheng-Hung, Wang Lei, Wanninkhof, Rik, Weaver, Scott, Weber, Mark, Werdell, P. Jeremy, Whitewood, Robert, Wijffels, Susan, Wilber, Anne C., Wild, J. D., Willett, Kate M., Williams, W., Willis, Joshua K., Wolken, G., Wong, Takmeng, Woodgate, R., Worthy, D., Wouters, B., Wovrosh, Alex J., Xue Yan, Yamada, Ryuji, Yin Zungang, Yu Lisan, Zhang Liangying, Zhang Peiqun, Zhao Lin, Zhao, J., Zhong, W., Ziemke, Jerry, Zimmermann, S., ICOS-ATC (ICOS-ATC), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Extrèmes : Statistiques, Impacts et Régionalisation (ESTIMR), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), and Repositório da Universidade de Lisboa

Subjects
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Atmospheric Science, 13. Climate action, Photosynthetically active radiation, Climate, Dynamics (mechanics), Data_FILES, Environmental science, Fraction (chemistry), 14. Life underwater, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, Remote sensing
Abstract

For the first time in serveral years, the El Nino-Southern Oscillation did not dominate regional climate conditions around the globe. A weak La Ni a dissipated to ENSOneutral conditions by spring, and while El Nino appeared to be emerging during summer, this phase never fully developed as sea surface temperatures in the eastern conditions. Nevertheless, other large-scale climate patterns and extreme weather events impacted various regions during the year. A negative phase of the Arctic Oscillation from mid-January to early February contributed to frigid conditions in parts of northern Africa, eastern Europe, and western Asia. A lack of rain during the 2012 wet season led to the worst drought in at least the past three decades for northeastern Brazil. Central North America also experienced one of its most severe droughts on record. The Caribbean observed a very wet dry season and it was the Sahel's wettest rainy season in 50 years. Overall, the 2012 average temperature across global land and ocean surfaces ranked among the 10 warmest years on record. The global land surface temperature alone was also among the 10 warmest on record. In the upper atmosphere, the average stratospheric temperature was record or near-record cold, depending on the dataset. After a 30-year warming trend from 1970 to 1999 for global sea surface temperatures, the period 2000-12 had little further trend. This may be linked to the prevalence of La Ni a-like conditions during the 21st century. Heat content in the upper 700 m of the ocean remained near record high levels in 2012. Net increases from 2011 to 2012 were observed at 700-m to 2000-m depth and even in the abyssal ocean below. Following sharp decreases in to the effects of La Ni a, sea levels rebounded to reach records highs in 2012. The increased hydrological cycle seen in recent years continued, with more evaporation in drier locations and more precipitation in rainy areas. In a pattern that has held since 2004, salty areas of the ocean surfaces and subsurfaces were anomalously salty on average, while fresher areas were anomalously fresh. Global tropical cyclone activity during 2012 was near average, with a total of 84 storms compared with the 1981-2010 average of 89. Similar to 2010 and 2011, the North Atlantic was the only hurricane basin that experienced above-normal activity. In this basin, Sandy brought devastation to Cuba and parts of the eastern North American seaboard. All other basins experienced either near-or below-normal tropical cyclone activity. Only three tropical cyclones reached Category 5 intensity-all in Bopha became the only storm in the historical record to produce winds greater than 130 kt south of 7 N. It was also the costliest storm to affect the Philippines and killed more than 1000 residents. Minimum Arctic sea ice extent in September and Northern Hemisphere snow cover extent in June both reached new record lows. June snow cover extent is now declining at a faster rate (-17.6% per decade) than September sea ice extent (-13.0% per decade). Permafrost temperatures reached record high values in northernmost Alaska. A new melt extent record occurred on 11-12 July on the Greenland ice sheet; 97% of the ice sheet showed some form of melt, four times greater than the average melt for this time of year. The climate in Antarctica was relatively stable overall. The largest maximum sea ice extent since records begain in 1978 was observed in September 2012. In the stratosphere, warm air led to the second smallest ozone hole in the past two decades. Even so, the springtime ozone layer above Antarctica likely will not return to its early 1980s state until about 2060. Following a slight decline associated with the global 2 emissions from fossil fuel combustion and cement production reached a record 9.5 +/- 0.5 Pg C in 2011 and a new record of 9.7 +/- 0.5 Pg C is estimated for 2012. Atmospheric CO2 concentrations increased by 2.1 ppm in 2012, to 392.6 ppm. In spring 2012, 2 concentration exceeded 400 ppm at 7 of the 13 Arctic observation sites. Globally, other greenhouse gases including methane and nitrous oxide also continued to rise in concentration and the combined effect now represents a 32% increase in radiative forcing over a 1990 baseline. Concentrations of most ozone depleting substances continued to fall.

Published
2013
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61. Phenotypic Data from Inbred Parents Can Improve Genomic Prediction in Pearl Millet Hybrids.

Author

Zhikai Liang, Gupta, Shashi K., Cheng-Ting Yeh, Yang Zhang, Ngu, Daniel W., Kumar, Ramesh, Patil, Hemant T., Mungra, Kanulal D., Dev Vart Yadav, Rathore, Abhishek, Srivastava, Rakesh K., Gupta, Rajeev, Jinliang Yang, Varshney, Rajeev K., Schnable, Patrick S., and Schnable, James C.

Subjects
*PEARL millet genetics, *CROPS, *PLANT breeding, *PHENOLOGY
Abstract

Pearl millet is a non-model grain and fodder crop adapted to extremely hot and dry environments globally. In India, a great deal of public and private sectors' investment has focused on developing pearl millet single cross hybrids based on the cytoplasmic-genetic male sterility (CMS) system, while in Africa most pearl millet production relies on open pollinated varieties. Pearl millet lines were phenotyped for both the inbred parents and hybrids stage. Many breeding efforts focus on phenotypic selection of inbred parents to generate improved parental lines and hybrids. This study evaluated two genotyping techniques and four genomic selection schemes in pearl millet. Despite the fact that 6x more sequencing data were generated per sample for RAD-seq than for tGBS, tGBS yielded more than 2x as many informative SNPs (defined as those having MAF > 0.05) than RAD-seq. A genomic prediction scheme utilizing only data from hybrids generated prediction accuracies (median) ranging from 0.73-0.74 (1000-grain weight), 0.87-0.89 (days to flowering time), 0.48-0.51 (grain yield) and 0.72-0.73 (plant height). For traits with little to no heterosis, hybrid only and hybrid/inbred prediction schemes performed almost equivalently. For traits with significant mid-parent heterosis, the direct inclusion of phenotypic data from inbred lines significantly (P < 0.05) reduced prediction accuracy when all lines were analyzed together. However, when inbreds and hybrid trait values were both scored relative to the mean trait values for the respective populations, the inclusion of inbred phenotypic datasets moderately improved genomic predictions of the hybrid genomic estimated breeding values. Here we show that modern approaches to genotyping by sequencing can enable genomic selection in pearl millet. While historical pearl millet breeding records include a wealth of phenotypic data from inbred lines, we demonstrate that the naive incorporation of this data into a hybrid breeding program can reduce prediction accuracy, while controlling for the effects of heterosis per se allowed inbred genotype and trait data to improve the accuracy of genomic estimated breeding values for pearl millet hybrids. [ABSTRACT FROM AUTHOR]

Published
2018
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65. Circulating Long Noncoding RNA TapSAKI Is a Predictor of Mortality in Critically Ill Patients with Acute Kidney Injury

Author

Lorenzen, Johan M, primary, Schauerte, Celina, primary, Kielstein, Jan T, primary, Hübner, Anika, primary, Martino, Filippo, primary, Fiedler, Jan, primary, Gupta, Shashi K, primary, Faulhaber-Walter, Robert, primary, Kumarswamy, Regalla, primary, Hafer, Carsten, primary, Haller, Hermann, primary, Fliser, Danilo, primary, and Thum, Thomas, primary

Published
2015
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68. The miRNA-212/132 family regulates both cardiac hypertrophy and cardiomyocyte autophagy

Author

Ucar, Ahmet, primary, Gupta, Shashi K., additional, Fiedler, Jan, additional, Erikci, Erdem, additional, Kardasinski, Michal, additional, Batkai, Sandor, additional, Dangwal, Seema, additional, Kumarswamy, Regalla, additional, Bang, Claudia, additional, Holzmann, Angelika, additional, Remke, Janet, additional, Caprio, Massimiliano, additional, Jentzsch, Claudia, additional, Engelhardt, Stefan, additional, Geisendorf, Sabine, additional, Glas, Carolina, additional, Hofmann, Thomas G., additional, Nessling, Michelle, additional, Richter, Karsten, additional, Schiffer, Mario, additional, Carrier, Lucie, additional, Napp, L. Christian, additional, Bauersachs, Johann, additional, Chowdhury, Kamal, additional, and Thum, Thomas, additional

Published
2012
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73. MicroRNA-24 Regulates Vascularity After Myocardial Infarction

Author

Fiedler, Jan, primary, Jazbutyte, Virginija, additional, Kirchmaier, Bettina C., additional, Gupta, Shashi K., additional, Lorenzen, Johan, additional, Hartmann, Dorothee, additional, Galuppo, Paolo, additional, Kneitz, Susanne, additional, Pena, John T.G., additional, Sohn-Lee, Cherin, additional, Loyer, Xavier, additional, Soutschek, Juergen, additional, Brand, Thomas, additional, Tuschl, Thomas, additional, Heineke, Joerg, additional, Martin, Ulrich, additional, Schulte-Merker, Stefan, additional, Ertl, Georg, additional, Engelhardt, Stefan, additional, Bauersachs, Johann, additional, and Thum, Thomas, additional

Published
2011
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76. Short Communication: Asymmetric Dimethylarginine Impairs Angiogenic Progenitor Cell Function in Patients With Coronary Artery Disease Through a MicroRNA-21–Dependent Mechanism

Author

Fleissner, Felix, primary, Jazbutyte, Virginija, additional, Fiedler, Jan, additional, Gupta, Shashi K., additional, Yin, Xiaoke, additional, Xu, Qingbo, additional, Galuppo, Paolo, additional, Kneitz, Susanne, additional, Mayr, Manuel, additional, Ertl, Georg, additional, Bauersachs, Johann, additional, and Thum, Thomas, additional

Published
2010
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79. The NASA GEWEX surface radiation budget project: Dataset validation and climatic signal identification.

Author

Zhang, Taiping, Stackhouse, Jr., Paul W., Gupta, Shashi K., Cox, Stephen J., and Mikovitz, J. Colleen

Subjects
CLIMATE change, SOUTHERN oscillation, GLOBAL dimming, HYDROLOGIC cycle, RADIATIVE transfer, SURFACE of the earth, EL Nino
Abstract

The NASA GEWEX-SRB (Global Energy and Water cycle Experiment - Surface Radiation Budget) project has produced and archived shortwave and longwave radiative fluxes at the top of atmosphere (TOA) and the Earth's surface at a 1° × 1° resolution continuously for a time span of 24.5 years from July 1983 to December 2007. The latest version of the data in archive is Release 3.0 and is available as 3-hourly, daily and monthly means. Through August, 2011, the Baseline Surface Radiation Network (BSRN) archive has 5969 site-months of ground-measured data from 52 sites around the globe. We first performed quality-check on the original BSRN data and, then processed the data to produce 3-hourly, 3-hourly-monthly, daily and monthly means. The SRB-BSRN comparisons show generally good agreement for both the shortwave and longwave downward fluxes at the Earth's surface. It is found that signals of large-scale climatic variation, such as El Niño Southern Oscillation, can be identified through EOF analysis. Polynomial fitting of order 3 for Southern and Northern Hemispheric and global mean downward shortwave fluxes from 1984 to 2007 shows variability consistent with global dimming through 1980s and brightening thereafter. [ABSTRACT FROM AUTHOR]

Published
2013
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81. Validation and Analysis of the Release 3.0 of the NASA GEWEX Surface Radiation Budget Dataset.

Author

Taiping Zhang, Stackhouse Jr., Paul W., Gupta, Shashi K., Cox, Stephen J., and Mikovitz, J. Colleen

Subjects
DATA libraries, OCEAN-atmosphere interaction, ATMOSPHERIC pressure, BIOENERGETICS
Abstract

The Release 3.0 of the NASA GEWEX Surface Radiation Budget (SRB) dataset is described and validated against the Baseline Surface Radiation Network (BSRN) data, the World Radiation Data Centre (WRDC) data, and the Global Energy Balance Archive (GEBA) data. The validation shows generally good agreement. The EOF analysis of the dataset shows that signals of large scale climate variations, such as El Niño Southern Oscillation (ENSO), can be identified from the GEWEX SRB dataset. [ABSTRACT FROM AUTHOR]

Published
2009
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86. Asymmetric Dimethylarginine Impairs Angiogenic Progenitor Cell Function in Patients With Coronary Artery Disease Through a MicroRNA-21-Dependent Mechanism.

Author

Fleissner, Felix, Jazbutyte, Virginija, Fiedler, Jan, Gupta, Shashi K., Xiaoke Yin, Qingbo Xu, Galuppo, Paolo, Kneitz, Susanne, Mayr, Manuel, Ertl, Georg, Bauersachs, Johann, and Thum, Thomas

Subjects
SUPEROXIDES, ARGININE, SUPEROXIDE dismutase, CORONARY disease, GENE transfection
Abstract

The article discusses a research study which investigated the role of microRNA in asymmetrical dimethylarginine (ADMA)-mediated impairment of angiogenic progenitor cells (APC). A review of the related literature on ADMA is given. It briefly describes the methods employed by the research authors. Findings of the study demonstrated that transfection of miR-21 precursors significantly suppressed superoxide dismutase 2 in APC, and that patients with coronary artery disease have an elevated ADMA plasma levels.

Published
2010
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88. Inheritance of foliar blast resistance in pearl millet ( Pennisetum glaucum).

Author

Gupta, Shashi K., Sharma, Rajan, Rai, Kedar N., and Thakur, Ram P.

Subjects
*PEARL millet, *PYRICULARIA grisea, *DISEASE resistance of plants, *MILLET diseases & pests, *PLANT genetics, *PENNISETUM
Abstract

With 1 table Abstract Foliar blast, caused by Pyricularia grisea (Cooke) Sacc, has recently emerged as a serious disease of pearl millet in India. To study the inheritance of resistance to this disease, two resistant restorer lines (ICMR 06222 and ICMR 07555) and two susceptible maintainer lines (ICMB 95444 and ICMB 89111) were selected on the basis of foliar blast reaction in tests conducted under field and greenhouse conditions. Each of the two resistant parents was crossed with two susceptible parents to generate four sets of F1s, F2s and their backcrosses with both resistant and susceptible parental lines. These were evaluated for disease reaction with artificial inoculation under both field and greenhouse conditions. The disease reaction of the F1s, and the segregation patterns of resistance in the F2s and backcross generations, showed that resistance to foliar blast in pearl millet is controlled by a single dominant gene. [ABSTRACT FROM AUTHOR]

Published
2012
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89. A radiative transfer model for surface radiation budget studies

Author

Gupta, Shashi K.

Abstract

A high resolution spectral radiative transfer model of the troposphere for computing downwelling radiance and flux density at the surface in the 5–200 μm region has been developed. The model is fast and accurate and takes into consideration all major and minor constituents active in this region, namely, water vapor, carbon dioxide, ozone, nitrous oxide, and methane. It uses the quasi-random band model of absorption for computing atmospheric transmittances due to various bands. Continuum absorption by water vapor in the 8–14 μm region has also been taken into account.

Published
1983
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90. State of the Climate in 2012 INTRODUCTION

Author

Achberger, Christine, Ackerman, Stephen A., Albanil, Adelina, Alexander, P., Alfaro, Eric J., Allan, Rob, Alves, Lincoln M., Amador, Jorge A., Ambenje, Peter, Andrianjafinirina, Solonomenjanahary, Antonov, John, Aravequia, Jose A., Arendt, A., Arevalo, Juan, Arndt, Derek S., Ashik, I., Atheru, Zachary, Banzon, Viva, Baringer, Molly O., Barreira, Sandra, Barriopedro, David E., Beard, Grant, Becker, Andreas, Behrenfeld, Michael J., Bell, Gerald D., Benedetti, Angela, Bernhard, Germar, Berrisford, Paul, Berry, David I., Bhatt, U., Bidegain, Mario, Bindoff, Nathan, Bissolli, Peter, Blake, Eric S., Blunden, Jessica, Booneeady, Raj, Bosilovich, Michael, Box, J. E., Boyer, Tim, Braathen, Geir O., Bromwich, David H., Brown, R., Brown, L., Bruhwiler, Lori, Bulygina, Olga N., Burgess, D., Burrows, John, Calderon, Blanca, Camargo, Suzana J., Campbell, Jayaka, Cao, Y., Cappelen, J., Carrasco, Gualberto, Chambers, Don P., Chang A, L., Chappell, Petra, Chehade, Wissam, Cheliah, Muthuvel, Christiansen, Hanne H., Christy, John R., Ciais, Phillipe, Coelho, Caio A. S., Cogley, J. G., Colwell, Steve, Cross, J. N., Crouch, Jake, Cunningham, Stuart A., Dacic, Milan, Jeu, Richard A. M., Dekaa, Francis S., Demircan, Mesut, Derksen, C., Diamond, Howard J., Dlugokencky, Ed J., Dohan, Kathleen, Dolman, A. Johannes, Domingues, Catia M., Dong Shenfu, Dorigo, Wouter A., Drozdov, D. S., Duguay, Claude R., Dunn, Robert J. H., Duran-Quesada, Ana M., Dutton, Geoff S., Ehmann, Christian, Elkins, James W., Euscategui, Christian, Famiglietti, James S., Fang Fan, Fauchereau, Nicolas, Feely, Richard A., Fekete, Balazs M., Fenimore, Chris, Fioletov, Vitali E., Fogarty, Chris T., Fogt, Ryan L., Folland, Chris K., Foster, Michael J., Frajka-Williams, Eleanor, Franz, Bryan A., Frith, Stacey H., Frolov, I., Ganter, Catherine, Garzoli, Silvia, Geai, M. -L, Gerland, S., Gitau, Wilson, Gleason, Karin L., Gobron, Nadine, Goldenberg, Stanley B., Goni, Gustavo, Good, Simon A., Gottschalck, Jonathan, Gregg, Margarita C., Griffiths, Georgina, Grooss, Jens-Uwe, Guard, Charles Chip, Gupta, Shashi K., Hall, Bradley D., Halpert, Michael S., Harada, Yayoi, Hauri, C., Heidinger, Andrew K., Heikkila, Anu, Heim, Richard R., Heimbach, Patrick, Hidalgo, Hugo G., Hilburn, Kyle, Ho, Shu-Peng, Hobbs, Will R., Holgate, Simon, Hovsepyan, Anahit, Hu Zeng-Zhen, Hughes, P., Hurst, Dale F., Ingvaldsen, R., Inness, Antje, Jaimes, Ena, Jakobsson, Martin, James, Adamu I., Jeffries, Martin O., Johns, William E., Johnsen, Bjorn, Johnson, Gregory C., Johnson, Bryan, Jones, Luke T., Jumaux, Guillaume, Kabidi, Khadija, Kaiser, Johannes W., Kamga, Andre, Kang, Kyun-Kuk, Kanzow, Torsten O., Kao, Hsun-Ying, Keller, Linda M., Kennedy, John J., Key, J., Khatiwala, Samar, Pour, H. Kheyrollah, Kholodov, A. L., Khoshkam, Mahbobeh, Kijazi, Agnes, Kikuchi, T., Kim, B. -M, Kim, S. -J, Kimberlain, Todd B., Knaff, John A., Korshunova, Natalia N., Koskela, T., Kousky, Vernon E., Kramarova, Natalya, Kratz, David P., Krishfield, R., Kruger, Andries, Kruk, Michael C., Kumar, Arun, Lagerloef, Gary S. E., Lakkala, K., Lander, Mark A., Landsea, Chris W., Lankhorst, Matthias, Laurila, T., Lazzara, Matthew A., Lee, Craig, Leuliette, Eric, Levitus, Sydney, L Heureux, Michelle, Lieser, Jan, Lin, I-I, Liu, Y. Y., Liu, Y., Liu Hongxing, Liu Yanju, Lobato-Sanchez, Rene, Locarnini, Ricardo, Loeb, Norman G., Loeng, H., Long, Craig S., Lorrey, Andrew M., Luhunga, P., Lumpkin, Rick, Luo Jing-Jia, Lyman, John M., Macdonald, Alison M., Maddux, Brent C., Malekela, C., Manney, Gloria, Marchenko, S. S., Marengo, Jose A., Marotzke, Jochem, Marra, John J., Martinez-Gueingla, Rodney, Massom, Robert A., Mathis, Jeremy T., Mcbride, Charlotte, Mccarthy, Gerard, Mcvicar, Tim R., Mears, Carl, Meier, W., Meinen, Christopher S., Menendez, Melisa, Merrifield, Mark A., Mitchard, Edward, Mitchum, Gary T., Montzka, Stephen A., Morcrette, Jean-Jacques, Mote, Thomas, Muehle, Jens, Muehr, Bernhard, Mullan, A. Brett, Mueller, Rolf, Nash, Eric R., Nerem, R. Steven, Newlin, Michele L., Newman, Paul A., Ng Ongolo, H., Nieto, Juan Jose, Nishino, S., Nitsche, Helga, Noetzli, Jeannette, Oberman, N. G., Obregon, Andre, Ogallo, Laban A., Oludhe, Christopher S., Omar, Mohamed I., Overland, James, Oyunjargal, Lamjav, Parinussa, Robert M., Park, Geun-Ha, Park, E-Hyung, Parker, David, Pasch, Richard J., Pascual-Ramirez, Reynaldo, Pelto, Mauri S., Penalba, Olga, Peng, L., Perovich, Don K., Pezza, Alexandre B., Phillips, David, Pickart, R., Pinty, Bernard, Pitts, Michael C., Purkey, Sarah G., Quegan, Shaun, Quintana, Juan, Rabe, B., Rahimzadeh, Fatemeh, Raholijao, Nirivololona, Raiva, I., Rajeevan, Madhavan, Ramiandrisoa, Voahanginirina, Ramos, Alexandre, Ranivoarissoa, Sahondra, Rayner, Nick A., Rayner, Darren, Razuveav, Vyacheslav N., Reagan, James, Reid, Phillip, Renwick, James, Revedekar, Jayashree, Richter-Menge, Jacqueline, Rivera, Ingrid L., Robinson, David A., Rodell, Matthew, Romanovsky, Vladimir E., Ronchail, Josyane, Karen Rosenlof, Sabine, Christopher L., Salvador, Mozar A., Sanchez-Lugo, Ahira, Santee, Michelle L., Sasgen, I., Sawaengphokhai, P., Sayouri, Amal, Scambos, Ted A., Schauer, U., Schemm, Jae, Schlosser, P., Schmid, Claudia, Schreck, Carl, Semiletov, Igor, Send, Uwe, Sensoy, Serhat, Setzer, Alberto, Severinghaus, Jeffrey, Shakhova, Natalia, Sharp, M., Shiklomanov, Nicolai I., Siegel, David A., Silva, Viviane B. S., Silva, Frabricio D. S., Sima, Fatou, Simeonov, Petio, Simmonds, I., Simmons, Adrian, Skansi, Maria, Smeed, David A., Smethie, W. M., Smith, Adam B., Smith, Cathy, Smith, Sharon L., Smith, Thomas M., Sokolov, V., Srivastava, A. K., Stackhouse, Paul W., Stammerjohn, Sharon, Steele, M., Steffen, Konrad, Steinbrecht, Wolfgang, Stephenson, Tannecia, Su, J., Svendby, T., Sweet, William, Takahashi, Taro, Tanabe, Raymond M., Taylor, Michael A., Tedesco, Marco, Teng, William L., Thepaut, Jean-Noel, Thiaw, Wassila M., Thoman, R., Thompson, Philip, Thorne, Peter W., Timmermans, M. -L, Tobin, Skie, Toole, J., Trewin, Blair C., Trigo, Ricardo M., Trotman, Adrian, Tschudi, M., Wal, Roderik S. W., Werf, Guido R., Vautard, Robert, Vazquez, J. L., Vieira, Goncalo, Vincent, Lucie, Vose, Russ S., Wagner, Wolfgang W., Wahr, John, Walsh, J., Wang Junhong, Wang Chunzai, Wang, M., Wang Sheng-Hung, Wang Lei, Wanninkhof, Rik, Weaver, Scott, Weber, Mark, Werdell, P. Jeremy, Whitewood, Robert, Wijffels, Susan, Wilber, Anne C., Wild, J. D., Willett, Kate M., Williams, W., Willis, Joshua K., Wolken, G., Wong, Takmeng, Woodgate, R., Worthy, D., Wouters, B., Wovrosh, Alex J., Xue Yan, Yamada, Ryuji, Yin Zungang, Yu Lisan, Zhang Liangying, Zhang Peiqun, Zhao Lin, Zhao, J., Zhong, W., Ziemke, Jerry, and Zimmermann, S.

91. Abstract 206.

Author

Thum, Thomas, Gupta, Shashi K, Ucar, Ahmet, Fiedler, Jan, DeWindt, Leon, Engelhardt, Stefan, Bauersachs, Johann, and Chowdhury, Kamal

Published
2012

93. Phenotypic Data from Inbred Parents Can Improve Genomic Prediction in Pearl Millet Hybrids.

Author

Liang Z, Gupta SK, Yeh CT, Zhang Y, Ngu DW, Kumar R, Patil HT, Mungra KD, Yadav DV, Rathore A, Srivastava RK, Gupta R, Yang J, Varshney RK, Schnable PS, and Schnable JC

Subjects
Algorithms, Genotype, Hybridization, Genetic, Models, Genetic, Polymorphism, Single Nucleotide, Reproducibility of Results, Selection, Genetic, Genome, Plant, Genomics methods, Inbreeding, Pennisetum genetics, Phenotype
Abstract

Pearl millet is a non-model grain and fodder crop adapted to extremely hot and dry environments globally. In India, a great deal of public and private sectors' investment has focused on developing pearl millet single cross hybrids based on the cytoplasmic-genetic male sterility (CMS) system, while in Africa most pearl millet production relies on open pollinated varieties. Pearl millet lines were phenotyped for both the inbred parents and hybrids stage. Many breeding efforts focus on phenotypic selection of inbred parents to generate improved parental lines and hybrids. This study evaluated two genotyping techniques and four genomic selection schemes in pearl millet. Despite the fact that 6× more sequencing data were generated per sample for RAD-seq than for tGBS, tGBS yielded more than 2× as many informative SNPs (defined as those having MAF > 0.05) than RAD-seq. A genomic prediction scheme utilizing only data from hybrids generated prediction accuracies (median) ranging from 0.73-0.74 (1000-grain weight), 0.87-0.89 (days to flowering time), 0.48-0.51 (grain yield) and 0.72-0.73 (plant height). For traits with little to no heterosis, hybrid only and hybrid/inbred prediction schemes performed almost equivalently. For traits with significant mid-parent heterosis, the direct inclusion of phenotypic data from inbred lines significantly ( P < 0.05) reduced prediction accuracy when all lines were analyzed together. However, when inbreds and hybrid trait values were both scored relative to the mean trait values for the respective populations, the inclusion of inbred phenotypic datasets moderately improved genomic predictions of the hybrid genomic estimated breeding values. Here we show that modern approaches to genotyping by sequencing can enable genomic selection in pearl millet. While historical pearl millet breeding records include a wealth of phenotypic data from inbred lines, we demonstrate that the naive incorporation of this data into a hybrid breeding program can reduce prediction accuracy, while controlling for the effects of heterosis per se allowed inbred genotype and trait data to improve the accuracy of genomic estimated breeding values for pearl millet hybrids., (Copyright © 2018 Liang et al.)

Published
2018
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94. Circulating long noncoding RNATapSaki is a predictor of mortality in critically ill patients with acute kidney injury.

Author

Lorenzen JM, Schauerte C, Kielstein JT, Hübner A, Martino F, Fiedler J, Gupta SK, Faulhaber-Walter R, Kumarswamy R, Hafer C, Haller H, Fliser D, and Thum T

Subjects
Acute Kidney Injury mortality, Adult, Biomarkers blood, Case-Control Studies, Critical Illness, Female, Gene Expression Profiling, Humans, Kaplan-Meier Estimate, Male, Middle Aged, Predictive Value of Tests, Proportional Hazards Models, Prospective Studies, Real-Time Polymerase Chain Reaction, Reproducibility of Results, Sensitivity and Specificity, Acute Kidney Injury blood, Acute Kidney Injury genetics, RNA, Long Noncoding blood, RNA, Long Noncoding genetics
Abstract

Background: Long noncoding RNAs (lncRNAs) are novel intracellular noncoding ribonucleotides regulating gene expression. Intriguingly, these RNA transcripts are detectable and stable in the blood of patients with cancer and cardiovascular disease. We tested whether circulating lncRNAs in plasma of critically ill patients with acute kidney injury (AKI) at inception of renal replacement therapy were deregulated and might predict survival., Methods: We performed a global lncRNA expression analysis using RNA isolated from plasma of patients with AKI, healthy controls, and ischemic disease controls. This global screen revealed several deregulated lncRNAs in plasma samples of patients with AKI. lncRNA-array-based alterations were confirmed in kidney biopsies of patients as well as in plasma of 109 patients with AKI, 30 age-matched healthy controls, and 30 disease controls by quantitative real-time PCR., Results: Circulating concentrations of the novel intronic antisense lncRNA TrAnscript Predicting Survival in AKI (TapSAKI) (P < 0.0001) were detectable in kidney biopsies and upregulated in plasma of patients with AKI. Cox regression and Kaplan-Meier curve analysis revealed TapSAKI as an independent predictor of 28-day survival (P < 0.01). TapSAKI was enriched in tubular epithelial cells subjected to ATP depletion (P = 0.03)., Conclusions: The alteration of circulating concentrations of lncRNAs in patients with AKI supports TapSAKI as a predictor of mortality in this patient cohort., (© 2014 American Association for Clinical Chemistry.)

Published
2015
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