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486 results on '"Bader, David A."'

2. The fully coupled regionally refined model of E3SM version 2: overview of the atmosphere, land, and river results

Author

Tang, Qi, Golaz, Jean-Christophe, Van Roekel, Luke P, Taylor, Mark A, Lin, Wuyin, Hillman, Benjamin R, Ullrich, Paul A, Bradley, Andrew M, Guba, Oksana, Wolfe, Jonathan D, Zhou, Tian, Zhang, Kai, Zheng, Xue, Zhang, Yunyan, Zhang, Meng, Wu, Mingxuan, Wang, Hailong, Tao, Cheng, Singh, Balwinder, Rhoades, Alan M, Qin, Yi, Li, Hong-Yi, Feng, Yan, Zhang, Yuying, Zhang, Chengzhu, Zender, Charles S, Xie, Shaocheng, Roesler, Erika L, Roberts, Andrew F, Mametjanov, Azamat, Maltrud, Mathew E, Keen, Noel D, Jacob, Robert L, Jablonowski, Christiane, Hughes, Owen K, Forsyth, Ryan M, Di Vittorio, Alan V, Caldwell, Peter M, Bisht, Gautam, McCoy, Renata B, Leung, L Ruby, and Bader, David C

Subjects
Earth Sciences, Oceanography, Atmospheric Sciences, Climate Action, Earth sciences
Abstract

This paper provides an overview of the United States (US) Department of Energy's (DOE's) Energy Exascale Earth System Model version 2 (E3SMv2) fully coupled regionally refined model (RRM) and documents the overall atmosphere, land, and river results from the Coupled Model Intercomparison Project 6 (CMIP6) DECK (Diagnosis, Evaluation, and Characterization of Klima) and historical simulations - a first-of-its-kind set of climate production simulations using RRM. The North American (NA) RRM (NARRM) is developed as the high-resolution configuration of E3SMv2 with the primary goal of more explicitly addressing DOE's mission needs regarding impacts to the US energy sector facing Earth system changes. The NARRM features finer horizontal resolution grids centered over NA, consisting of 25→100¯km atmosphere and land, a 0.125 river-routing model, and 14→60¯km ocean and sea ice. By design, the computational cost of NARRM is 1/43× of the uniform low-resolution (LR) model at 100¯km but only 1/4¯10¯%-20¯% of a globally uniform high-resolution model at 25¯km. A novel hybrid time step strategy for the atmosphere is key for NARRM to achieve improved climate simulation fidelity within the high-resolution patch without sacrificing the overall global performance. The global climate, including climatology, time series, sensitivity, and feedback, is confirmed to be largely identical between NARRM and LR as quantified with typical climate metrics. Over the refined NA area, NARRM is generally superior to LR, including for precipitation and clouds over the contiguous US (CONUS), summertime marine stratocumulus clouds off the coast of California, liquid and ice phase clouds near the North Pole region, extratropical cyclones, and spatial variability in land hydrological processes. The improvements over land are related to the better-resolved topography in NARRM, whereas those over ocean are attributable to the improved air-sea interactions with finer grids for both atmosphere and ocean and sea ice. Some features appear insensitive to the resolution change analyzed here, for instance the diurnal propagation of organized mesoscale convective systems over CONUS and the warm-season land-atmosphere coupling at the southern Great Plains. In summary, our study presents a realistically efficient approach to leverage the fully coupled RRM framework for a standard Earth system model release and high-resolution climate production simulations.

Published
2023

3. Biological and Environmental Research Exascale Requirements Review. An Office of Science review sponsored jointly by Advanced Scientific Computing Research and Biological and Environmental Research, March 28-31, 2016, Rockville, Maryland

Author

Arkin, Adam, Bader, David C, Coffey, Richard, Antypas, Katie, Bard, Deborah, Dart, Eli, Dosanjh, Sudip, Gerber, Richard, Hack, James, Monga, Inder, Papka, Michael E, Riley, Katherine, Rotman, Lauren, Straatsma, Tjerk, Wells, Jack, Aluru, Srinivas, Andersen, Amity, Aprá, Edoardo, Azad, Ariful, Bates, Susan, Blaby, Ian, Blaby-Haas, Crysten, Bonneau, Rich, Bowen, Ben, Bradford, Mark A, Brodie, Eoin, Brown, James Ben, Buluc, Aydin, Bernholdt, David, Bylaska, Eric, Calvin, Kate, Cannon, Bill, Chen, Xingyuan, Cheng, Xiaolin, Cheung, Margaret, Chowdhary, Kenny, Colella, Phillip, Collins, Bill, Compo, Gil, Crowley, Mike, Debusschere, Bert, D’Imperio, Nicholas, Dror, Ron, Egan, Rob, Evans, Katherine, Friedberg, Iddo, Fyke, Jeremy, Gao, Zheng, Georganas, Evangelos, Giraldo, Frank, Gnanakaran, Gnana, Govind, Niri, Grandy, Stuart, Gustafson, Bill, Hammond, Glenn, Hargrove, William, Heroux, Michael, Hoffman, Forrest, Hofmeyr, Steven, Hunke, Elizabeth, Jackson, Charles, Jacob, Rob, Jacobson, Dan, Jacobson, Matt, Jain, Chirag, Johansen, Hans, Johnson, Jeff, Jones, Andy, Jones, Phil, Kalyanaraman, Ananth, Kang, Senghwa, King, Eric, Koanantakool, Penporn, Kollias, Pavlos, Kopera, Michal, Kotamarthi, Rao, Kowalski, Karol, Kumar, Jitendra, Kyrpides, Nikos, Leung, Ruby, Li, Xiaolin, Lin, Wuyin, Link, Robert, Liu, Yangang, Loew, Leslie, Luke, Edward, Ma, Hsi-Yen, Mahadevan, Radhakrishnan, Maranas, Costas, Martin, Daniel, Maslowski, Wieslaw, McCue, Lee Ann, McInnes, Lois Curfman, Mills, Richard, Molins Rafa, Sergi, Morozov, Dmitriy, Mostafavi, Sara, Moulton, David J, Mourao, Zenaida, and Najm, Habib

Published
2022

4. The rheumatoid arthritis drug auranofin lowers leptin levels and exerts antidiabetic effects in obese mice.

Author

Cox, Aaron, Masschelin, Peter, Saha, Pradip, Felix, Jessica, Sharp, Robert, Lian, Zeqin, Xia, Yan, Chernis, Natasha, Bader, David, Kim, Kang, Li, Xin, Yoshino, Jun, Li, Gang, Sun, Zheng, Wu, Huaizhu, Coarfa, Cristian, Moore, David, Klein, Samuel, Sun, Kai, and Hartig, Sean

Subjects
auranofin, inflammation, insulin sensitivity, leptin reduction, obesity, Animals, Mice, Mice, Obese, Hypoglycemic Agents, Auranofin, Diabetes Mellitus, Type 2, Arthritis, Rheumatoid, Obesity
Abstract

Low-grade, sustained inflammation in white adipose tissue (WAT) characterizes obesity and coincides with type 2 diabetes mellitus (T2DM). However, pharmacological targeting of inflammation lacks durable therapeutic effects in insulin-resistant conditions. Through a computational screen, we discovered that the FDA-approved rheumatoid arthritis drug auranofin improved insulin sensitivity and normalized obesity-associated abnormalities, including hepatic steatosis and hyperinsulinemia in mouse models of T2DM. We also discovered that auranofin accumulation in WAT depleted inflammatory responses to a high-fat diet without altering body composition in obese wild-type mice. Surprisingly, elevated leptin levels and blunted beta-adrenergic receptor activity achieved by leptin receptor deletion abolished the antidiabetic effects of auranofin. These experiments also revealed that the metabolic benefits of leptin reduction were superior to immune impacts of auranofin in WAT. Our studies uncover important metabolic properties of anti-inflammatory treatments and contribute to the notion that leptin reduction in the periphery can be accomplished to treat obesity and T2DM.

Published
2022

5. The DOE E3SM Model Version 2: Overview of the Physical Model and Initial Model Evaluation

Author

Golaz, Jean‐Christophe, Van Roekel, Luke P, Zheng, Xue, Roberts, Andrew F, Wolfe, Jonathan D, Lin, Wuyin, Bradley, Andrew M, Tang, Qi, Maltrud, Mathew E, Forsyth, Ryan M, Zhang, Chengzhu, Zhou, Tian, Zhang, Kai, Zender, Charles S, Wu, Mingxuan, Wang, Hailong, Turner, Adrian K, Singh, Balwinder, Richter, Jadwiga H, Qin, Yi, Petersen, Mark R, Mametjanov, Azamat, Ma, Po‐Lun, Larson, Vincent E, Krishna, Jayesh, Keen, Noel D, Jeffery, Nicole, Hunke, Elizabeth C, Hannah, Walter M, Guba, Oksana, Griffin, Brian M, Feng, Yan, Engwirda, Darren, Di Vittorio, Alan V, Dang, Cheng, Conlon, LeAnn M, Chen, Chih‐Chieh‐Jack, Brunke, Michael A, Bisht, Gautam, Benedict, James J, Asay‐Davis, Xylar S, Zhang, Yuying, Zhang, Meng, Zeng, Xubin, Xie, Shaocheng, Wolfram, Phillip J, Vo, Tom, Veneziani, Milena, Tesfa, Teklu K, Sreepathi, Sarat, Salinger, Andrew G, Eyre, JE Jack Reeves, Prather, Michael J, Mahajan, Salil, Li, Qing, Jones, Philip W, Jacob, Robert L, Huebler, Gunther W, Huang, Xianglei, Hillman, Benjamin R, Harrop, Bryce E, Foucar, James G, Fang, Yilin, Comeau, Darin S, Caldwell, Peter M, Bartoletti, Tony, Balaguru, Karthik, Taylor, Mark A, McCoy, Renata B, Leung, L Ruby, and Bader, David C

Subjects
Climate Action, DOE E3SM, climate modeling, Atmospheric Sciences
Abstract

This work documents version two of the Department of Energy's Energy Exascale Earth System Model (E3SM). E3SMv2 is a significant evolution from its predecessor E3SMv1, resulting in a model that is nearly twice as fast and with a simulated climate that is improved in many metrics. We describe the physical climate model in its lower horizontal resolution configuration consisting of 110 km atmosphere, 165 km land, 0.5° river routing model, and an ocean and sea ice with mesh spacing varying between 60 km in the mid-latitudes and 30 km at the equator and poles. The model performance is evaluated with Coupled Model Intercomparison Project Phase 6 Diagnosis, Evaluation, and Characterization of Klima simulations augmented with historical simulations as well as simulations to evaluate impacts of different forcing agents. The simulated climate has many realistic features of the climate system, with notable improvements in clouds and precipitation compared to E3SMv1. E3SMv1 suffered from an excessively high equilibrium climate sensitivity (ECS) of 5.3 K. In E3SMv2, ECS is reduced to 4.0 K which is now within the plausible range based on a recent World Climate Research Program assessment. However, a number of important biases remain including a weak Atlantic Meridional Overturning Circulation, deficiencies in the characteristics and spectral distribution of tropical atmospheric variability, and a significant underestimation of the observed warming in the second half of the historical period. An analysis of single-forcing simulations indicates that correcting the historical temperature bias would require a substantial reduction in the magnitude of the aerosol-related forcing.

Published
2022

7. Mitophagy deficiency increases NLRP3 to induce brown fat dysfunction in mice

Author

Ko, Myoung Seok, Yun, Ji Young, Baek, In-Jeoung, Jang, Jung Eun, Hwang, Jung Jin, Lee, Seung Eun, Heo, Seung-Ho, Bader, David A, Lee, Chul-Ho, Han, Jaeseok, Moon, Jong-Seok, Lee, Jae Man, Hong, Eun-Gyoung, Lee, In-Kyu, Kim, Seong Who, Park, Joong Yeol, Hartig, Sean M, Kang, Un Jung, Moore, David D, Koh, Eun Hee, and Lee, Ki-up

Subjects
Biochemistry and Cell Biology, Biological Sciences, Genetics, Nutrition, Obesity, Aetiology, 1.1 Normal biological development and functioning, 2.1 Biological and endogenous factors, Underpinning research, Metabolic and endocrine, Cardiovascular, Adipocytes, Adipose Tissue, Brown, Animals, Autophagy, Energy Metabolism, Inflammasomes, Mice, Knockout, Mitochondria, Mitophagy, NLR Family, Pyrin Domain-Containing 3 Protein, Reactive Oxygen Species, Brown adipocyte, inflammasome, pink1, transcriptional activation, white adipocyte, Biochemistry & Molecular Biology, Biochemistry and cell biology
Abstract

Although macroautophagy/autophagy deficiency causes degenerative diseases, the deletion of essential autophagy genes in adipocytes paradoxically reduces body weight. Brown adipose tissue (BAT) plays an important role in body weight regulation and metabolic control. However, the key cellular mechanisms that maintain BAT function remain poorly understood. in this study, we showed that global or brown adipocyte-specific deletion of pink1, a Parkinson disease-related gene involved in selective mitochondrial autophagy (mitophagy), induced BAT dysfunction, and obesity-prone type in mice. Defective mitochondrial function is among the upstream signals that activate the NLRP3 inflammasome. NLRP3 was induced in brown adipocyte precursors (BAPs) from pink1 knockout (KO) mice. Unexpectedly, NLRP3 induction did not induce canonical inflammasome activity. Instead, NLRP3 induction led to the differentiation of pink1 KO BAPs into white-like adipocytes by increasing the expression of white adipocyte-specific genes and repressing the expression of brown adipocyte-specific genes. nlrp3 deletion in pink1 knockout mice reversed BAT dysfunction. Conversely, adipose tissue-specific atg7 KO mice showed significantly lower expression of Nlrp3 in their BAT. Overall, our data suggest that the role of mitophagy is different from general autophagy in regulating adipose tissue and whole-body energy metabolism. Our results uncovered a new mitochondria-NLRP3 pathway that induces BAT dysfunction. The ability of the nlrp3 knockouts to rescue BAT dysfunction suggests the transcriptional function of NLRP3 as an unexpected, but a quite specific therapeutic target for obesity-related metabolic diseases.Abbreviations: ACTB: actin, beta; BAPs: brown adipocyte precursors; BAT: brown adipose tissue; BMDMs: bone marrow-derived macrophages; CASP1: caspase 1; CEBPA: CCAAT/enhancer binding protein (C/EBP), alpha; ChIP: chromatin immunoprecipitation; EE: energy expenditure; HFD: high-fat diet; IL1B: interleukin 1 beta; ITT: insulin tolerance test; KO: knockout; LPS: lipopolysaccharide; NLRP3: NLR family, pyrin domain containing 3; PINK1: PTEN induced putative kinase 1; PRKN: parkin RBR E3 ubiquitin protein ligase; RD: regular diet; ROS: reactive oxygen species; RT: room temperature; UCP1: uncoupling protein 1 (mitochondrial, proton carrier); WT: wild-type.

Published
2021

8. Unintended Consequence: Diversity as a Casualty of Eliminating United States Medical Licensing Examination Step 1 Scores

Author

Amin, Sabina, Bader, David, Beckett, Brooke, Carter, Kevin, Chapman, Teresa, Chow, Bernard, Derylo, Amanda, Flaherty, Francis, Fox, Michael, Gould, Jennifer, Groves, Robert, Heitkamp, Darel, Heymann, John, Ho, Christopher, Hughes, Marion, Hull, Nathan, Jafroodifar, Abtin, Jay, Ann, Kamer, Aaron, Kelly, Hillary, Kennedy, Tabassum, Knippa, Emily, Koontz, Nicholas, Marx, Mary, Milburn, James, Mills, Megan, Molina, Marco, Morgan, Desiree, Morgan, Rustain, Omofoye, Toma, Peterson, Ryan, Romanelli, Donald, Schubert, Johanna, Schweitzer, Andrew, Seekins, Jayne, Stanfill, John, Udager, Kara, Vatakencherry, Geogy, Wang, Morlie, Weidenhaft, Mandy, Williamson, Clint, Wojtowycz, Andrij, Zarzour, Jessica, Campos, Felipe M., Grimm, Lars J., and Maxfield, Charles M.

Published
2023
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9. The DOE E3SM Coupled Model Version 1: Description and Results at High Resolution

Author

Caldwell, Peter M, Mametjanov, Azamat, Tang, Qi, Van Roekel, Luke P, Golaz, Jean‐Christophe, Lin, Wuyin, Bader, David C, Keen, Noel D, Feng, Yan, Jacob, Robert, Maltrud, Mathew E, Roberts, Andrew F, Taylor, Mark A, Veneziani, Milena, Wang, Hailong, Wolfe, Jonathan D, Balaguru, Karthik, Cameron‐Smith, Philip, Dong, Lu, Klein, Stephen A, Leung, L Ruby, Li, Hong‐Yi, Li, Qing, Liu, Xiaohong, Neale, Richard B, Pinheiro, Marielle, Qian, Yun, Ullrich, Paul A, Xie, Shaocheng, Yang, Yang, Zhang, Yuying, Zhang, Kai, and Zhou, Tian

Subjects
Earth Sciences, Oceanography, Atmospheric Sciences, Climate Action, Atmospheric sciences, Geoinformatics
Abstract

This study provides an overview of the coupled high-resolution Version 1 of the Energy Exascale Earth System Model (E3SMv1) and documents the characteristics of a 50-year-long high-resolution control simulation with time-invariant 1950 forcings following the HighResMIP protocol. In terms of global root-mean-squared error metrics, this high-resolution simulation is generally superior to results from the low-resolution configuration of E3SMv1 (due to resolution, tuning changes, and possibly initialization procedure) and compares favorably to models in the CMIP5 ensemble. Ocean and sea ice simulation is particularly improved, due to better resolution of bathymetry, the ability to capture more variability and extremes in winds and currents, and the ability to resolve mesoscale ocean eddies. The largest improvement in this regard is an ice-free Labrador Sea, which is a major problem at low resolution. Interestingly, several features found to improve with resolution in previous studies are insensitive to resolution or even degrade in E3SMv1. Most notable in this regard are warm bias and associated stratocumulus deficiency in eastern subtropical oceans and lack of improvement in El Niño. Another major finding of this study is that resolution increase had negligible impact on climate sensitivity (measured by net feedback determined through uniform +4K prescribed sea surface temperature increase) and aerosol sensitivity. Cloud response to resolution increase consisted of very minor decrease at all levels. Large-scale patterns of precipitation bias were also relatively unaffected by grid spacing.

Published
2019

10. The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution

Author

Golaz, Jean‐Christophe, Caldwell, Peter M, Van Roekel, Luke P, Petersen, Mark R, Tang, Qi, Wolfe, Jonathan D, Abeshu, Guta, Anantharaj, Valentine, Asay‐Davis, Xylar S, Bader, David C, Baldwin, Sterling A, Bisht, Gautam, Bogenschutz, Peter A, Branstetter, Marcia, Brunke, Michael A, Brus, Steven R, Burrows, Susannah M, Cameron‐Smith, Philip J, Donahue, Aaron S, Deakin, Michael, Easter, Richard C, Evans, Katherine J, Feng, Yan, Flanner, Mark, Foucar, James G, Fyke, Jeremy G, Griffin, Brian M, Hannay, Cécile, Harrop, Bryce E, Hoffman, Mattthew J, Hunke, Elizabeth C, Jacob, Robert L, Jacobsen, Douglas W, Jeffery, Nicole, Jones, Philip W, Keen, Noel D, Klein, Stephen A, Larson, Vincent E, Leung, L Ruby, Li, Hong‐Yi, Lin, Wuyin, Lipscomb, William H, Ma, Po‐Lun, Mahajan, Salil, Maltrud, Mathew E, Mametjanov, Azamat, McClean, Julie L, McCoy, Renata B, Neale, Richard B, Price, Stephen F, Qian, Yun, Rasch, Philip J, Eyre, JE Jack Reeves, Riley, William J, Ringler, Todd D, Roberts, Andrew F, Roesler, Erika L, Salinger, Andrew G, Shaheen, Zeshawn, Shi, Xiaoying, Singh, Balwinder, Tang, Jinyun, Taylor, Mark A, Thornton, Peter E, Turner, Adrian K, Veneziani, Milena, Wan, Hui, Wang, Hailong, Wang, Shanlin, Williams, Dean N, Wolfram, Phillip J, Worley, Patrick H, Xie, Shaocheng, Yang, Yang, Yoon, Jin‐Ho, Zelinka, Mark D, Zender, Charles S, Zeng, Xubin, Zhang, Chengzhu, Zhang, Kai, Zhang, Yuying, Zheng, Xue, Zhou, Tian, and Zhu, Qing

Subjects
Earth Sciences, Oceanography, Atmospheric Sciences, Climate Action, Atmospheric sciences, Geoinformatics
Abstract

This work documents the first version of the U.S. Department of Energy (DOE) new Energy Exascale Earth System Model (E3SMv1). We focus on the standard resolution of the fully coupled physical model designed to address DOE mission-relevant water cycle questions. Its components include atmosphere and land (110-km grid spacing), ocean and sea ice (60 km in the midlatitudes and 30 km at the equator and poles), and river transport (55 km) models. This base configuration will also serve as a foundation for additional configurations exploring higher horizontal resolution as well as augmented capabilities in the form of biogeochemistry and cryosphere configurations. The performance of E3SMv1 is evaluated by means of a standard set of Coupled Model Intercomparison Project Phase 6 (CMIP6) Diagnosis, Evaluation, and Characterization of Klima simulations consisting of a long preindustrial control, historical simulations (ensembles of fully coupled and prescribed SSTs) as well as idealized CO2 forcing simulations. The model performs well overall with biases typical of other CMIP-class models, although the simulated Atlantic Meridional Overturning Circulation is weaker than many CMIP-class models. While the E3SMv1 historical ensemble captures the bulk of the observed warming between preindustrial (1850) and present day, the trajectory of the warming diverges from observations in the second half of the twentieth century with a period of delayed warming followed by an excessive warming trend. Using a two-layer energy balance model, we attribute this divergence to the model's strong aerosol-related effective radiative forcing (ERFari+aci = −1.65 W/m2) and high equilibrium climate sensitivity (ECS = 5.3 K).

Published
2019

11. Mitochondrial pyruvate import is a metabolic vulnerability in androgen receptor-driven prostate cancer.

Author

Bader, David, Hartig, Sean, Putluri, Vasanta, Foley, Christopher, Hamilton, Mark, Smith, Eric, Saha, Pradip, Panigrahi, Anil, Walker, Christopher, Zong, Lin, Martini-Stoica, Heidi, Chen, Rui, Rajapakshe, Kimal, Coarfa, Cristian, Sreekumar, Arun, Mitsiades, Nicholas, Bankson, James, Ittmann, Michael, OMalley, Bert, Putluri, Nagireddy, and McGuire, Sean

Subjects
Animals, Biological Transport, Cell Line, Tumor, Disease Models, Animal, Gene Expression Regulation, Neoplastic, Glutamine, Humans, Male, Metabolic Networks and Pathways, Mice, Mice, Transgenic, Mitochondria, Mitochondrial Membrane Transport Proteins, Monocarboxylic Acid Transporters, Prostatic Neoplasms, Prostatic Neoplasms, Castration-Resistant, Protein Binding, Pyruvic Acid, Receptors, Androgen, Signal Transduction
Abstract

Specific metabolic underpinnings of androgen receptor (AR)-driven growth in prostate adenocarcinoma (PCa) are largely undefined, hindering the development of strategies to leverage the metabolic dependencies of this disease when hormonal manipulations fail. Here we show that the mitochondrial pyruvate carrier (MPC), a critical metabolic conduit linking cytosolic and mitochondrial metabolism, is transcriptionally regulated by AR. Experimental MPC inhibition restricts proliferation and metabolic outputs of the citric acid cycle (TCA) including lipogenesis and oxidative phosphorylation in AR-driven PCa models. Mechanistically, metabolic disruption resulting from MPC inhibition activates the eIF2α/ATF4 integrated stress response (ISR). ISR signaling prevents cell cycle progression while coordinating salvage efforts, chiefly enhanced glutamine assimilation into the TCA, to regain metabolic homeostasis. We confirm that MPC function is operant in PCa tumors in-vivo using isotopomeric metabolic flux analysis. In turn, we apply a clinically viable small molecule targeting the MPC, MSDC0160, to pre-clinical PCa models and find that MPC inhibition suppresses tumor growth in hormone-responsive and castrate-resistant conditions. Collectively, our findings characterize the MPC as a tractable therapeutic target in AR-driven prostate tumors.

Published
2019

12. miR-30a Remodels Subcutaneous Adipose Tissue Inflammation to Improve Insulin Sensitivity in Obesity

Author

Koh, Eun-Hee, Chernis, Natasha, Saha, Pradip K, Xiao, Liuling, Bader, David A, Zhu, Bokai, Rajapakshe, Kimal, Hamilton, Mark P, Liu, Xia, Perera, Dimuthu, Chen, Xi, York, Brian, Trauner, Michael, Coarfa, Cristian, Bajaj, Mandeep, Moore, David D, Deng, Tuo, McGuire, Sean E, and Hartig, Sean M

Subjects
Biomedical and Clinical Sciences, Diabetes, Obesity, Biotechnology, Nutrition, Genetics, Aetiology, 2.1 Biological and endogenous factors, Metabolic and endocrine, Oral and gastrointestinal, Cardiovascular, Adipose Tissue, White, Animals, Diabetes Mellitus, Type 2, Diet, High-Fat, Energy Metabolism, Insulin Resistance, Liver, Mice, MicroRNAs, STAT1 Transcription Factor, Subcutaneous Fat, Medical and Health Sciences, Endocrinology & Metabolism, Biomedical and clinical sciences
Abstract

Chronic inflammation accompanies obesity and limits subcutaneous white adipose tissue (WAT) expandability, accelerating the development of insulin resistance and type 2 diabetes mellitus. MicroRNAs (miRNAs) influence expression of many metabolic genes in fat cells, but physiological roles in WAT remain poorly characterized. Here, we report that expression of the miRNA miR-30a in subcutaneous WAT corresponds with insulin sensitivity in obese mice and humans. To examine the hypothesis that restoration of miR-30a expression in WAT improves insulin sensitivity, we injected adenovirus (Adv) expressing miR-30a into the subcutaneous fat pad of diabetic mice. Exogenous miR-30a expression in the subcutaneous WAT depot of obese mice coupled improved insulin sensitivity and increased energy expenditure with decreased ectopic fat deposition in the liver and reduced WAT inflammation. High-throughput proteomic profiling and RNA-Seq suggested that miR-30a targets the transcription factor STAT1 to limit the actions of the proinflammatory cytokine interferon-γ (IFN-γ) that would otherwise restrict WAT expansion and decrease insulin sensitivity. We further demonstrated that miR-30a opposes the actions of IFN-γ, suggesting an important role for miR-30a in defending adipocytes against proinflammatory cytokines that reduce peripheral insulin sensitivity. Together, our data identify a critical molecular signaling axis, elements of which are involved in uncoupling obesity from metabolic dysfunction.

Published
2018

13. Envisioning U.S. Climate Predictions and Projections to Meet New Challenges.

Author

Mariotti, Annarita, Bader, David C., Bauer, Susanne E., Danabasoglu, Gokhan, Dunne, John, Gross, Brian, Leung, L. Ruby, Pawson, Steven, Putman, William R., Ramaswamy, Venkatachalam, Schmidt, Gavin A., and Tallapragada, Vijay

Subjects
CLIMATE change, CLIMATOLOGY, ARTIFICIAL intelligence, DATA warehousing, FORECASTING, MACHINE learning, CLOUD storage
Abstract

In the face of a changing climate, the understanding, predictions, and projections of natural and human systems are increasingly crucial to prepare and cope with extremes and cascading hazards, determine unexpected feedbacks and potential tipping points, inform long‐term adaptation strategies, and guide mitigation approaches. Increasingly complex socio‐economic systems require enhanced predictive information to support advanced practices. Such new predictive challenges drive the need to fully capitalize on ambitious scientific and technological opportunities. These include the unrealized potential for very high‐resolution modeling of global‐to‐local Earth system processes across timescales, reduction of model biases, enhanced integration of human systems and the Earth Systems, better quantification of predictability and uncertainties; expedited science‐to‐service pathways, and co‐production of actionable information with stakeholders. Enabling technological opportunities include exascale computing, advanced data storage, novel observations and powerful data analytics, including artificial intelligence and machine learning. Looking to generate community discussions on how to accelerate progress on U.S. climate predictions and projections, representatives of Federally‐funded U.S. modeling groups outline here perspectives on a six‐pillar national approach grounded in climate science that builds on the strengths of the U.S. modeling community and agency goals. This calls for an unprecedented level of coordination to capitalize on transformative opportunities, augmenting and complementing current modeling center capabilities and plans to support agency missions. Tangible outcomes include projections with horizontal spatial resolutions finer than 10 km, representing extremes and associated risks in greater detail, reduced model errors, better predictability estimates, and more customized projections to support next generation climate services. Plain Language Summary: In the face of a changing climate, the understanding, predictions and projections of natural and human systems are increasingly crucial to prepare and cope with extremes and cascading hazards, determine unexpected feedbacks and potential tipping points, inform long‐term adaptation strategies, and guide mitigation approaches. Increasingly complex socio‐economic systems require enhanced predictive information to support advanced practices. Such new predictive challenges drive the need to fully capitalize on ambitious scientific and technological opportunities currently at hand, and working with stakeholders to co‐produce the information that they require. Looking to generate community discussions on how to accelerate progress on U.S. climate predictions and projections, representatives of Federally‐funded U.S. modeling groups outline here perspectives on a six‐pillar national approach grounded in climate science that builds on the strengths of the U.S. modeling community and agency goals. This calls for an unprecedented level of coordination to capitalize on transformative opportunities, augmenting and complementing current modeling center capabilities and plans to support agency missions. Tangible outcomes include projections with horizontal spatial resolutions finer than 10 km, representing extremes and associated risks in greater detail, reduced model errors, better predictability estimates, and more customized projections to support the next generation of climate services. Key Points: Facing the uncharted territory of a changed climate and increasingly complex socio‐economic systems requires the best possible predictionsScientific and technological opportunities are at hand to accelerate progress on U.S. climate predictions and projectionsCapitalizing on the most transformative opportunities calls for an unprecedented level of coordination and resources [ABSTRACT FROM AUTHOR]

Published
2024
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16. Variations in Neonatal Length of Stay of Babies Born Extremely Preterm: An International Comparison Between iNeo Networks

Author

Lui, Kei, Marshall, Peter, Schmidt, Peter, Dhawan, Anjali, Korostenski, Larissa, Travadi, Javeed Travadi, Sharp, Mary, Gill, Andy, Pillow, Jane, Stack, Jacqueline, Birch, Pita, Nothdurft, Karen, Cooke, Lucy, Casalaz, Dan, Holberton, Jim, Stewart, Alice, Downe, Lyn, Stewart, Michael, Berry, Andrew, Hunt, Rod, Morris, Peter, Paoli, Tony De, Bolisetty, Srinivas, Paradisis, Mary, Greenhalgh, Mark, Koorts, Pieter, Kuschel, Carl, Jacobs, Sue, Doyle, Lex, Craven, John, Numa, Andrew, Carlisle, Hazel, Badawi, Nadia, Popat, Himanshu, Koh, Guan, Davis, Jonathan, Luig, Melissa, Headley, Bevan, Andersen, Chad, Ng, Linda, Chambers, Georgina, Austin, Nicola, Lynn, Adrienne, Darlow, Brian, Edmonds, Liza, Mildenhall, Lindsay, Buksh, Mariam, Battin, Malcolm, Boom, Jutta van den, Richardson, Vaughan, Barker, David, Hammond, Barbara, Rajadurai, Victor Samuel, Lam, Simon, Fung, Genevieve, Shah, Prakesh S., Beltempo, Marc, Kanungo, Jaideep, Ting, Joseph, Cieslak, Zenon, Sherlock, Rebecca, Mehrem, Ayman Abou, Toye, Jennifer, Aziz, Khalid, Fajardo, Carlos, Bodani, Jaya, Strueby, Lannae, Seshia, Mary, Louis, Deepak, Alvaro, Ruben, Mukerji, Amit, Da Silva, Orlando, Adie, Mohammad, Lee, Kyong-Soon, Ng, Eugene, Lemyre, Brigitte, Daboval, Thierry, Khurshid, Faiza, Pelausa, Ermelinda, Barrington, Keith, Lapoint, Anie, Ethier, Guillaume, Drolet, Christine, Piedboeuf, Bruno, Claveau, Martine, St-Hilaire, Marie, Bertelle, Valerie, Masse, Edith, Canning, Roderick, Makary, Hala, Ojah, Cecil, Monterrosa, Luis, Emberley, Julie, Afifi, Jehier, Kajetanowicz, Andrzej, Lee, Shoo K., Metsäranta, Marjo, Lehtonen, Liisa, Tammela, Outi, Sankilampi, Ulla, Saarela, Timo, Morag, Iris, Zangen, Shmuel, Smolkin, Tatyana, Mimouni, Francis, Bader, David, Rothschild, Avi, Strauss, Zipora, Felszer, Clari, Omari, Hussam, Tov-Friedman, Smadar Even, Bar-Oz, Benjamin, Feldman, Michael, Saad, Nizar, Flidel-Rimon, Orna, Weisbrod, Meir, Lubin, Daniel, Litmanovitz, Ita, Kugelman, Amir, Shinwell, Eric, Klinger, Gil, Nijim, Yousif, Bin-Nun, Alona, Golan, Agneta, Mandel, Dror, Fleisher-Sheffer, Vered, Oron, Anat, Bakhrakh, Lev, Hattori, Satoshi, Shirai, Masaru, Ishioka, Toru, Mori, Toshihiko, Amizuka, Takasuke, Huchimukai, Toru, Yoshida, Hiroshi, Sasaki, Ayako, Shimizu, Junichi, Nakamura, Toshihiko, Maruyama, Mami, Matsumoto, Hiroshi, Hosokawa, Shinichi, Taki, Atsuko, Nakagawa, Machiko, Ko, Kyone, Uozumi, Azusa, Nakata, Setsuko, Shimazaki, Akira, Yoda, Tatsuya, Numata, Osamu, Imamura, Hiroaki, Kobayashi, Azusa, Tokuriki, Shuko, Uchida, Yasushi, Arai, Takahiro, Ito, Mitsuhiro, Ieda, Kuniko, Ono, Toshiyuki, Hayashi, Masashi, Maki, Kanemasa, Yamakawa, MieToru, Kawai, Masahiko, Fujii, Noriko, Shiomi, Kozue, Nozaki, Koji, Wada, Hiroshi, Kim, Taho, Tokunaga, Yasuyuki, Takatera, Akihiro, Oshima, Toshio, Sumida, Hiroshi, Michinomae, Yae, Kusumoto, Yoshio, Yoshimoto, Seiji, Morisawa, Takeshi, Ohashi, Tamaki, Takahashi, Yukihiro, Sugimoto, Moriharu, Ono, Noriaki, Miyagawa, Shinichiro, Saijo, Takahiko, Yamagami, Takashi, Koyano, Kosuke, Kobayashi, Shoko, Kanda, Takeshi, Sakemi, Yoshihiro, Aoki, Mikio, Iida, Koichi, Goshi, Mitsushi, Maruyama, Yuko, Avila-Alvarez, Alejandro, Fernandez-Trisac, José Luis, Pico, M<ce:sup loc='post">a</ce:sup> Luz Couce, Fernández Seara, María José, Gutiérrez, Andrés Martínez, Vizcaíno, Carolina, Iglesias, Miriam Salvador, Zaplana, Honorio Sánchez, Colomer, Belén Fernández, García López, José Enrique, Mozo, Rafael García, González Martínez, M. Teresa, Sebastián, M<ce:sup loc='post">a</ce:sup> Dolores Muro, Carbonell, Marta Balart, Barnusell, Joan Badia, Puiggròs, Mònica Domingo, Aloy, Josep Figueras, Mussons, Francesc Botet, Sanz, Israel Anquela, Galiana, Gemma Ginovart, Coroleu, W., Iriondo, Martin, Vilella, Laura Castells, Porta, Roser, Demestre, Xavier, Nadal, Silvia Martínez, de Frutos Martínez, Cristina, López Cuesta, María Jesús, Mora, Dolores Esquivel, Tardío, Joaquín Ortiz, Benavente, Isabel, Alonso, Almudena, Olmos, Ramón Aguilera, García Cabezas, Miguel A., Jiménez, M<ce:sup loc='post">a</ce:sup> Dolores Martínez, Caballero, M<ce:sup loc='post">a</ce:sup> Pilar Jaraba, Díaz, M<ce:sup loc='post">a</ce:sup> Dolores Ordoñez, Fagundo, Alberto Trujillo, Canals, Lluis Mayol, García-Muñoz Rodrigo, Fermín, Martí, Lourdes Urquía, Moreno Galdo, María Fernanda, Suazo, José Antonio Hurtado, López, Eduardo Narbona, Fernández, José Uberos, Cortajarena Altuna, Miguel A., Zuriarrain, Oihana Muga, Navarro, David Mora, Domínguez, María Teresa, Ruiz del Prado, M<ce:sup loc='post">a</ce:sup> Yolanda, Díez, Inés Esteban, Palau Benavides, María Teresa, Lapeña, Santiago, Prada, Teresa, Mir, Eduard Soler, Sánchez, Araceli Corredera, Vega, Enrique Criado, Prado, Náyade del, Fernández, Cristina, Vilaplana, Lucía Cabanillas, Pérez, Irene Cuadrado, Gómez, Luisa López, Comeche, Laura Domingo, Martín, Isabel Llana, Armengod, Carmen González, Labián, Carmen Muñoz, Muñoz, M<ce:sup loc='post">a</ce:sup> José Santos, Bravo, Dorotea Blanco, Pérez, Vicente, Fernández, M<ce:sup loc='post">a</ce:sup> Dolores Elorza, González, Celia Díaz, Segura, Susana Ares, Azorín, Manuela López, Jimenez, Ana Belén, Sánchez-Tamayo, Tomás, Moreno, Elías Tapia, González, María, Sánchez Martínez, José Enrique, Lloreda García, José María, Orayen, Concepción Goñi, González, Javier Vilas, Albo, María Suárez, Colmenero, Eva González, Gutiérrez González, Elena Pilar, Vacas del Arco, Beatriz, Fernández, Josefina Márquez, Gordillo, Laura Acosta, Asensio, Mercedes Granero, Díaz, Carmen Macías, Albújar, Mar, Jorge, Pedro Fuster, Romero, Sabina, Falero, Mónica Rivero, Escobar Izquierdo, Ana Belén, Capell, Javier Estañ, Macián, M<ce:sup loc='post">a</ce:sup> Isabel Izquierdo, Vicente, M<ce:sup loc='post">a</ce:sup> Mar Montejo, Caballero, Raquel Izquierdo, Martínez, M<ce:sup loc='post">a</ce:sup> Mercedes, Euba, Aintzane, Serna, Amaya Rodríguez, López de Heredia Goya, Juan María, Legorburu, Alberto Pérez, Amorós, Ana Gutiérrez, Marugán Isabel, Víctor Manuel, González, Natalio Hernández, Gracia, Segundo Rite, Faci, M<ce:sup loc='post">a</ce:sup> Purificación Ventura, Villagrasa, M<ce:sup loc='post">a</ce:sup> Pilar Samper, Kofron, Jiri, Brodd, Katarina Strand, Odlind, Andreas, Alberg, Lars, Arwehed, Sofia, Hafström, Ola, Kasemo, Anna, Nederman, Karin, Åhman, Lars, Ingemarsson, Fredrik, Petersson, Henrik, Thurn, Pernilla, Albinsson, Eva, Selander, Bo, Abrahamsson, Thomas, Heimdahl, Ingela, Sveinsdottir, Kristbjorg, Wejryd, Erik, Hedlund, Anna, Söderberg, Maria Katarina, Navér, Lars, Brune, Thomas, Bäckström, Jens, Robinson, Johan, Farooqi, Aijaz, Normann, Erik, Fredriksson, Magnus, Palm, Anders, Rosenqvist, Urban, Walde, Bengt, Hagman, Cecilia, Ohlin, Andreas, Florell, Rein, Smedsaas-Löfvenberg, Agneta, Adams, Mark, Meyer, Philipp, Kusche, Rachel, Schulzke, Sven, Nelle, Mathias, Wagner, Bendicht, Riedel, Thomas, Kaczala, Grégoire, Pfister, Riccardo E., Tolsa, Jean-François, Roth, Matthias, Stocker, Martin, Laubscher, Bernhard, Malzacher, Andreas, Micallef, John P., Hegi, Lukas, Bassler, Dirk, Arlettaz, Romaine, Bernet, Vera, Dani, Carlo, Fiorini, Patrizio, Ghirri, Paolo, Tomasini, Barbara, Mittal, Anita, Kefas, Jonathan, Kamalanathan, Anand, Grosdenier, Michael, Dewhurst, Christopher, Bontea, Andreea, Webb, Delyth, Garr, Ross, Hassan, Ahmed, Ambadkar, Priyadarshan, Dyke, Mark, McDevitt, Katharine, Rewitzky, Glynis, D'Amore, Angela, Kamath, P., Settle, Paul, Maddock, Natasha, Edi-Osagie, Ngozi, Zipitis, Christos, Heal, Carrie, Birch, Jacqeline, Hasib, Abdul, Soe, Aung, Abdul-Malik, Bushra, Kisat, Hamudi, Vasu, Vimal, Sivashankar, Savi, Gupta, Richa, Rawlingson, Chris, Wickham, Tim, Theron, Marice, Kendall, Giles, Gupta, Aashish, Aladangady, Narendra, Ali, Imdad, Jain, Neeraj, Mannan, Khalid, Murthy, Vadivelam, Sullivan, Caroline, Chuang, Shu-Ling, Bate, Tristan, Tyszcuzk, Lidia, Lee, Geraint, Obi, Ozioma, Chang, John, Pai, Vinay, Huddy, Charlotte, Yasin, Salim, Nicholl, Richard, Pandey, Poornima, Cusack, Jonathan, Kairamkonda, Venkatesh, Muogbo, Dominic, Harry, Liza, Surana, Pinki, Broggio, Penny, Pillay, Tilly, Deshpande, Sanjeev, Mahadevan, Moore, Alison, Bastani, Porus, Garbash, Mehdi, Lal, Mithilesh, Abu-Harb, Majd, Allwood, Alex, Selter, Michael, Munyard, Paul, Bartle, David, Paul, Siba, Whincup, Graham, Rekha, Sanghavi, Amess, Philip, Obi, Ben, Reynolds, Peter, Misra, Indranil, De Halpert, Peter, Salgia, Sanjay, Sanghavi, Rekha, Paul, Nicola, Deketelaere, Abby, Khashu, Minesh, Johnson, Mark, Groves, Charlotte, Baird, Jim, Brennan, Nick, Vamvakiti, Katia, McIntyre, John, Holman, Jennifer, Jones, Stephen, Pike, Alison, Cairns, Pamela, Eaton, Megan, Schwarz, Karin, Gibson, David, Miall, Lawrence, Krishnamurthy, Dr, Narayanan, Sankara, Seaton, Sarah E., Draper, Elizabeth S., Kusuda, Satoshi, Håkansson, Stellan, Helenius, Kjell, Reichman, Brian, Vento, Maximo, Darlow, Brian A., Rusconi, Franca, Isayama, Tetsuya, Norman, Mikael, Yang, Junmin, and Modi, Neena

Published
2021
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18. Redefining Professional Learning for Museum Education

Author

Tran, Lynn Uyen, Gupta, Preeti, and Bader, David

Abstract

It is through the collective work of museum educators that an organization grows its social capital in its local community and beyond its physical footprint. Given the significant contributions of museum educators to an institution's outcomes, we argue for a shift in mindset on investing in their growth and development. We share our reasoning for this change through our experiences from the "Reflecting on Practice" program. Two leaders in our community offer their reflections on why they took this leap of faith and the outcomes 5-10 years since their first step.

Published
2019
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19. Neonatal Intensive Care Unit-Level Patent Ductus Arteriosus Treatment Rates and Outcomes in Infants Born Extremely Preterm

Author

Harrison, Adele, Synnes, Anne, Ting, Joseph, Cieslak, Zenon, Sherlock, Rebecca, Yee, Wendy, Aziz, Khalid, Toye, Jennifer, Fajardo, Carlos, Kalapesi, Zarin, Sankaran, Koravangattu, Daspal, Sibasis, Seshia, Mary, Alvaro, Ruben, Mukerji, Amit, Da Silva, Orlando, Nwaesei, Chuks, Lee, Kyong-Soon, Dunn, Michael, Lemyre, Brigitte, Dow, Kimberly, Pelausa, Ermelinda, Barrington, Keith, Drolet, Christine, Piedboeuf, Bruno, Claveau, Martine, Beltempo, Marc, Bertelle, Valerie, Masse, Edith, Canning, Roderick, Makary, Hala, Ojah, Cecil, Monterrosa, Luis, Deshpandey, Akhil, Afifi, Jehier, Kajetanowicz, Andrzej, Andersson, Sture, Tammela, Outi, Sankilampi, Ulla, Saarela, Timo, Heymann, Eli, Zangen, Shmuel, Smolkin, Tatyana, Mimouni, Francis, Bader, David, Rothschild, Avi, Strauss, Zipora, Felszer, Clari, Omari, Hussam, Tov-Friedman, Smadar Even, Bar-Oz, Benjamin, Feldman, Michael, Saad, Nizar, Flidel-Rimon, Orna, Weisbrod, Meir, Lubin, Daniel, Litmanovitz, Ita, Kugelman, Amir, Shinwell, Eric, Klinger, Gil, Nijim, Yousif, Bin-Nun, Alona, Golan, Agneta, Mandel, Dror, Fleisher-Sheffer, Vered, Kohelet, David, Bakhrakh, Lev, Hattori, Satoshi, Shirai, Masaru, Ishioka, Toru, Mori, Toshihiko, Amizuka, Takasuke, Huchimukai, Toru, Yoshida, Hiroshi, Sasaki, Ayako, Shimizu, Junichi, Nakamura, Toshihiko, Maruyama, Mami, Matsumoto, Hiroshi, Hosokawa, Shinichi, Taki, Atsuko, Nakagawa, Machiko, Ko, Kyone, Uozumi, Azusa, Nakata, Setsuko, Shimazaki, Akira, Yoda, Tatsuya, Numata, Osamu, Imamura, Hiroaki, Kobayashi, Azusa, Tokuriki, Shuko, Uchida, Yasushi, Arai, Takahiro, Ito, Mitsuhiro, Ieda, Kuniko, Ono, Toshiyuki, Hayashi, Masashi, Maki, Kanemasa, Yamakawa, Mie- Toru, Kawai, Masahiko, Fujii, Noriko, Shiomi, Kozue, Nozaki, Koji, Wada, Hiroshi, Kim, Taho, Tokunaga, Yasuyuki, Takatera, Akihiro, Oshima, Toshio, Sumida, Hiroshi, Michinomae, Yae, Kusumoto, Yoshio, Yoshimoto, Seiji, Morisawa, Takeshi, Ohashi, Tamaki, Takahashi, Yukihiro, Sugimoto, Moriharu, Ono, Noriaki, Miyagawa, Shinichiro, Saijo, Takahiko, Yamagami, Takashi, Koyano, Kosuke, Kobayashi, Shoko, Kanda, Takeshi, Sakemi, Yoshihiro, Aoki, Mikio, Iida, Koichi, Goshi, Mitsushi, Maruyama, Yuko, Kofron, Jiri, Brodd, Katarina Strand, Odlind, Andreas, Alberg, Lars, Arwehed, Sofia, Hafström, Ola, Kasemo, Anna, Nederman, Karin, Åhman, Lars, Ingemarsson, Fredrik, Petersson, Henrik, Thurn, Pernilla, Albinsson, Eva, Selander, Bo, Abrahamsson, Thomas, Heimdahl, Ingela, Sveinsdottir, Kristbjorg, Wejryd, Erik, Hedlund, Anna, Söderberg, Maria Katarina, Navér, Lars, Brune, Thomas, Bäckström, Jens, Robinson, Johan, Farooqi, Aijaz, Normann, Erik, Fredriksson, Magnus, Palm, Anders, Rosenqvist, Urban, Walde, Bengt, Hagman, Cecilia, Ohlin, Andreas, Florell, Rein, Löfvenberg, Agneta Smedsaas, Meyer, Philipp, Kusche, Rachel, Schulzke, Sven, Nelle, Mathias, Wagner, Bendicht, Riedel, Thomas, Kaczala, Grégoire, Pfister, Riccardo E., Tolsa, Jean-François, Roth, Matthias, Stocker, Martin, Laubscher, Bernhard, Malzacher, Andreas, Micallef, John P., Hegi, Lukas, Arlettaz, Romaine, Bernet, Vera, Isayama, Tetsuya, Kusuda, Satoshi, Reichman, Brian, Lee, Shoo K., Lehtonen, Liisa, Norman, Mikael, Adams, Mark, Bassler, Dirk, Helenius, Kjell, Hakansson, Stellan, Yang, Junmin, Jain, Amish, and Shah, Prakesh S.

Published
2020
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20. Inhibition of the hexosamine biosynthetic pathway promotes castration-resistant prostate cancer.

Author

Kaushik, Akash, Shojaie, Ali, Panzitt, Katrin, Sonavane, Rajni, Venghatakrishnan, Harene, Manikkam, Mohan, Zaslavsky, Alexander, Putluri, Vasanta, Vasu, Vihas, Zhang, Yiqing, Khan, Ayesha, Lloyd, Stacy, Szafran, Adam, Dasgupta, Subhamoy, Bader, David, Stossi, Fabio, Li, Hangwen, Samanta, Susmita, Cao, Xuhong, Tsouko, Efrosini, Huang, Shixia, Frigo, Daniel, Chan, Lawrence, Edwards, Dean, Kaipparettu, Benny, Mitsiades, Nicholas, Weigel, Nancy, Mancini, Michael, McGuire, Sean, Mehra, Rohit, Ittmann, Michael, Chinnaiyan, Arul, Putluri, Nagireddy, Palapattu, Ganesh, Michailidis, George, and Sreekumar, Arun

Subjects
Animals, Basic Helix-Loop-Helix Leucine Zipper Transcription Factors, Cell Line, Hexosamines, Humans, Male, Mice, Mice, SCID, Phosphatidylinositol 3-Kinases, Prostatic Neoplasms, Castration-Resistant, Proto-Oncogene Proteins c-akt
Abstract

The precise molecular alterations driving castration-resistant prostate cancer (CRPC) are not clearly understood. Using a novel network-based integrative approach, here, we show distinct alterations in the hexosamine biosynthetic pathway (HBP) to be critical for CRPC. Expression of HBP enzyme glucosamine-phosphate N-acetyltransferase 1 (GNPNAT1) is found to be significantly decreased in CRPC compared with localized prostate cancer (PCa). Genetic loss-of-function of GNPNAT1 in CRPC-like cells increases proliferation and aggressiveness, in vitro and in vivo. This is mediated by either activation of the PI3K-AKT pathway in cells expressing full-length androgen receptor (AR) or by specific protein 1 (SP1)-regulated expression of carbohydrate response element-binding protein (ChREBP) in cells containing AR-V7 variant. Strikingly, addition of the HBP metabolite UDP-N-acetylglucosamine (UDP-GlcNAc) to CRPC-like cells significantly decreases cell proliferation, both in-vitro and in animal studies, while also demonstrates additive efficacy when combined with enzalutamide in-vitro. These observations demonstrate the therapeutic value of targeting HBP in CRPC.

Published
2016

21. Mathematical foundations of the GraphBLAS

Author

Kepner, Jeremy, Meyerhenke, Henning, McMillan, Scott, Yang, Carl, Owens, John D, Zalewski, Marcin, Mattson, Timothy, Moreira, Jose, Aaltonen, Peter, Bader, David, Buluc, Aydin, Franchetti, Franz, Gilbert, John, Hutchison, Dylan, Kumar, Manoj, and Lumsdaine, Andrew

Subjects
Applied Mathematics, Pure Mathematics, Mathematical Sciences, cs.MS, astro-ph.IM, cs.DC, cs.DS, Matrices, Sparse matrices, Finite element analysis, Standards, Additives
Abstract

The GraphBLAS standard (GraphBlas.org) is being developed to bring the potential of matrix-based graph algorithms to the broadest possible audience. Mathematically, the GraphBLAS defines a core set of matrix-based graph operations that can be used to implement a wide class of graph algorithms in a wide range of programming environments. This paper provides an introduction to the mathematics of the GraphBLAS. Graphs represent connections between vertices with edges. Matrices can represent a wide range of graphs using adjacency matrices or incidence matrices. Adjacency matrices are often easier to analyze while incidence matrices are often better for representing data. Fortunately, the two are easily connected by matrix multiplication. A key feature of matrix mathematics is that a very small number of matrix operations can be used to manipulate a very wide range of graphs. This composability of a small number of operations is the foundation of the GraphBLAS. A standard such as the GraphBLAS can only be effective if it has low performance overhead. Performance measurements of prototype GraphBLAS implementations indicate that the overhead is low.

Published
2016

22. Epigenetic loss of AOX1 expression via EZH2 leads to metabolic deregulations and promotes bladder cancer progression

Author

Vantaku, Venkatrao, Putluri, Vasanta, Bader, David A., Maity, Suman, Ma, Jing, Arnold, James M., Rajapakshe, Kimal, Donepudi, Sri Ramya, von Rundstedt, Friedrich-Carl, Devarakonda, Vaishnavi, Dubrulle, Julien, Karanam, Balasubramanyam, McGuire, Sean E., Stossi, Fabio, Jain, Abhinav K., Coarfa, Cristian, Cao, Qi, Sikora, Andrew G., Villanueva, Hugo, Kavuri, Shyam M., Lotan, Yair, Sreekumar, Arun, and Putluri, Nagireddy

Published
2020
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23. Correction: Epigenetic loss of AOX1 expression via EZH2 leads to metabolic deregulations and promotes bladder cancer progression

Author

Vantaku, Venkatrao, Putluri, Vasanta, Bader, David A., Maity, Suman, Ma, Jing, Arnold, James M., Rajapakshe, Kimal, Donepudi, Sri Ramya, von Rundstedt, Friedrich-Carl, Devarakonda, Vaishnavi, Dubrulle, Julien, Karanam, Balasubramanyam, McGuire, Sean E., Stossi, Fabio, Jain, Abhinav K., Coarfa, Cristian, Cao, Qi, Sikora, Andrew G., Villanueva, Hugo, Kavuri, Shyam M., Lotan, Yair, Sreekumar, Arun, and Putluri, Nagireddy

Published
2020
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27. The kinetochore protein, CENPF, is mutated in human ciliopathy and microcephaly phenotypes

Author

Waters, Aoife M, Asfahani, Rowan, Carroll, Paula, Bicknell, Louise, Lescai, Francesco, Bright, Alison, Chanudet, Estelle, Brooks, Anthony, Christou-Savina, Sonja, Osman, Guled, Walsh, Patrick, Bacchelli, Chiara, Chapgier, Ariane, Vernay, Bertrand, Bader, David M, Deshpande, Charu, O' Sullivan, Mary, Ocaka, Louise, Stanescu, Horia, Stewart, Helen S, Hildebrandt, Friedhelm, Otto, Edgar, Johnson, Colin A, Szymanska, Katarzyna, Katsanis, Nicholas, Davis, Erica, Kleta, Robert, Hubank, Mike, Doxsey, Stephen, Jackson, Andrew, Stupka, Elia, Winey, Mark, and Beales, Philip L

Subjects
Biological Sciences, Bioinformatics and Computational Biology, Biomedical and Clinical Sciences, Genetics, Rare Diseases, Pediatric, Human Genome, Congenital Structural Anomalies, Aetiology, 2.1 Biological and endogenous factors, Animals, Centrioles, Chromosomal Proteins, Non-Histone, Cilia, Exome, Female, Fetus, Genetics, Medical, HEK293 Cells, High-Throughput Nucleotide Sequencing, Humans, Male, Mice, Microcephaly, Microfilament Proteins, Mutation, NIH 3T3 Cells, Pedigree, Pregnancy, Zebrafish, CENPF, Ciliopathy, Clinical genetics, Molecular genetics, Medical and Health Sciences, Genetics & Heredity, Clinical sciences
Abstract

BackgroundMutations in microtubule-regulating genes are associated with disorders of neuronal migration and microcephaly. Regulation of centriole length has been shown to underlie the pathogenesis of certain ciliopathy phenotypes. Using a next-generation sequencing approach, we identified mutations in a novel centriolar disease gene in a kindred with an embryonic lethal ciliopathy phenotype and in a patient with primary microcephaly.Methods and resultsWhole exome sequencing data from a non-consanguineous Caucasian kindred exhibiting mid-gestation lethality and ciliopathic malformations revealed two novel non-synonymous variants in CENPF, a microtubule-regulating gene. All four affected fetuses showed segregation for two mutated alleles [IVS5-2A>C, predicted to abolish the consensus splice-acceptor site from exon 6; c.1744G>T, p.E582X]. In a second unrelated patient exhibiting microcephaly, we identified two CENPF mutations [c.1744G>T, p.E582X; c.8692 C>T, p.R2898X] by whole exome sequencing. We found that CENP-F colocalised with Ninein at the subdistal appendages of the mother centriole in mouse inner medullary collecting duct cells. Intraflagellar transport protein-88 (IFT-88) colocalised with CENP-F along the ciliary axonemes of renal epithelial cells in age-matched control human fetuses but did not in truncated cilia of mutant CENPF kidneys. Pairwise co-immunoprecipitation assays of mitotic and serum-starved HEKT293 cells confirmed that IFT88 precipitates with endogenous CENP-F.ConclusionsOur data identify CENPF as a new centriolar disease gene implicated in severe human ciliopathy and microcephaly related phenotypes. CENP-F has a novel putative function in ciliogenesis and cortical neurogenesis.

Published
2015

28. Graphs, Matrices, and the GraphBLAS: Seven Good Reasons

Author

Kepner, Jeremy, Bader, David, Buluç, Aydın, Gilbert, John, Mattson, Timothy, and Meyerhenke, Henning

Subjects
Networking and Information Technology R&D (NITRD), graphs, algorithms, matrices, linear algebra, software standards, cs.DC, Information and Computing Sciences, Technology
Abstract

The analysis of graphs has become increasingly important to a wide range of applications. Graph analysis presents a number of unique challenges in the areas of (1) software complexity, (2) data complexity, (3) security, (4) mathematical complexity, (5) theoretical analysis, (6) serial performance, and (7) parallel performance. Implementing graph algorithms using matrix-based approaches provides a number of promising solutions to these challenges. The GraphBLAS standard (istcbigdata.org/GraphBlas) is being developed to bring the potential of matrix based graph algorithms to the broadest possible audience. The GraphBLAS mathematically defines a core set of matrix-based graph operations that can be used to implement a wide class of graph algorithms in a wide range of programming environments. This paper provides an introduction to the GraphBLAS and describes how the GraphBLAS can be used to address many of the challenges associated with analysis of graphs.

Published
2015

29. Representation of atmosphere-induced heterogeneity in land–atmosphere interactions in E3SM–MMFv2.

Author

Lee, Jungmin, Hannah, Walter M., and Bader, David C.

Subjects
LAND-atmosphere interactions, MULTISCALE modeling, HETEROGENEITY, LEAD in soils, HEAT flux
Abstract

In the Energy Exascale Earth System Model (E3SM) Multi-scale Modeling Framework (MMF), where parameterizations of convection and turbulence are replaced by a 2-D cloud-resolving model (CRM), there are multiple options to represent land–atmosphere interactions. Here, we propose three different coupling strategies, namely the (1) coupling of a single land surface model to the global grid (MMF), (2) coupling a single land copy directly to the embedded CRM (SFLX2CRM), and (3) coupling a single copy of land model to each column of the CRM grid (MAML). In the MAML (Multi-Atmosphere Multi-Land) framework, a land model is coupled to CRM at the CRM-grid scale by coupling an individual copy of a land model to each CRM grid. Therefore, we can represent intra-CRM heterogeneity in the land–atmosphere interaction processes. There are 5-year global simulations run using these three coupling strategies, and we find some regional differences but overall small changes with respect to whether a land model is coupled to CRM or a global atmosphere. In MAML, the spatial heterogeneity within CRM induces stronger turbulence, which leads to the changes in soil moisture, surface heat fluxes, and precipitation. However, the differences in the MAML from the other two cases are rather weak, suggesting that the impact of using MAML does not justify the increase in cost. [ABSTRACT FROM AUTHOR]

Published
2023
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32. Rehospitalization Through Childhood and Adolescence: Association with Neonatal Morbidities in Infants of Very Low Birth Weight

Author

Heymann, Eli, Zangen, Shmuel, Smolkin, Tatyana, Mimouni, Francis, Bader, David, Rothschild, Avi, Strauss, Zipora, Felszer, Clari, Jeryes, Jamalia, Tov-Friedman, Smadar Even, Bar-Oz, Benjamin, Feldman, Michael, Saad, Nizar, Flidel-Rimon, Orna, Weisbrod, Meir, Lubin, Daniel, Litmanovitz, Ita, Kugelman, Amir, Shinwell, Eric, Klinger, Gil, Nijim, Yousif, Golan, Agneta, Mandel, Dror, Fleisher-Sheffer, Vered, Kohelet, David, Bakhrakh, Lev, Lerner-Geva, Liat, Kuint, Jacob, Chodick, Gabriel, Boyko, Valentina, Shalev, Varda, and Reichman, Brian

Published
2017
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34. Evaluation of a WRF dynamical downscaling simulation over California

Author

Caldwell, Peter, Chin, Hung-Neng S., Bader, David C., and Bala, Govindasamy

Subjects
Earth Sciences, Meteorology/Climatology
Abstract

This paper presents results from a 40 year Weather Research and Forecasting (WRF) based dynamical downscaling experiment performed at 12 km horizontal grid spacing, centered on the state of California, and forced by a 1° × 1.25° finite-volume current-climate Community Climate System Model ver. 3 (CCSM3) simulation. In-depth comparisons between modeled and observed regional-average precipitation, 2 m temperature, and snowpack are performed. The regional model reproduces the spatial distribution of precipitation quite well, but substantially overestimates rainfall along windward slopes. This is due to strong overprediction of precipitation intensity; precipitation frequency is actually underpredicted by the model. Moisture fluxes impinging on the coast seem to be well-represented over California, implying that precipitation bias is caused by processes internal to WRF. Positive-definite moisture advection and use of the Grell cumulus parameterization result in some decrease in precipitation bias, but other sources are needed to explain the full bias magnitude. Surface temperature is well simulated in all seasons except summer, when overly-dry soil moisture results in a several degree warm bias in both CCSM3 and WRF. Additionally, coastal temperatures appear to be too warm due to a coastal sea surface temperature bias inherited from CCSM3. Modeled snowfall/snowmelt agrees quite well with observations, but snow water equivalent is found to be much too low due to monthly reinitialization of all regional model fields from CCSM3 values.

Published
2009

37. Assessment of Warm and Dry Bias over ARM SGP Site in E3SMv2 and E3SM-MMF.

Author

LEE, JUNGMIN M., CHENG TAO, HANNAH, WALTER M., SHAOCHENG XIE, and BADER, DAVID C.

Subjects
ATMOSPHERIC radiation measurement, ATMOSPHERIC models, MULTISCALE modeling, LAND-atmosphere interactions, SOLAR radiation
Abstract

Many climate models exhibit a dry and warm bias over the central United States during the summer months, including the Energy Exascale Earth System Model (E3SM) and its Multiscale Modeling Framework (MMF) configuration. Understanding the causes of this bias is important to shine a light on this common model error and reduce the uncertainty in future projections. In this study, we use E3SMv2 and E3SM-MMF to assess how parameterized and resolved convection affect temperature and precipitation biases over the Southern Great Plains site of the Atmospheric Radiation Measurement program. Both configurations overestimate near-surface temperature and underestimate precipitation at the ARM SGP site. The bias is associated with a lack of low-level clouds during days without precipitation and too much incoming solar radiation causing the surface to warm. Low-level cloud fraction in E3SM-MMF during the nonprecipitating days is lower in comparison to E3SMv2 and observation, consistent with the larger warm bias. We also find that the underestimated precipitation can be characterized as "too frequent, too weak" in E3SMv2 and "too rare, too intense" in E3SM-MMF. These deficiencies conspire to sustain the warm and dry bias over the central United States. [ABSTRACT FROM AUTHOR]

Published
2023
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38. Neonatal Outcomes of Very Low Birth Weight and Very Preterm Neonates: An International Comparison

Author

Badawi, Nadia, Marshall, Peter, Craven, Paul, Simmer, Karen, Stack, Jacqueline, Casalaz, Dan, Carse, Elizabeth, Cooke, Lucy, Shingde, Vijay, Cartwright, David, Hunt, Rod, Kilburn, Charles, Dargaville, Peter, Lui, Kei, Paradisis, Mary, Rieger, Ingrid, Kuschel, Carl, Numa, Andrew, Carlisle, Hazel, Koh, Guan, Andersen, Chad, Luig, Melissa, Austin, Nicola, Broadbent, Roland, Mildenhall, Lindsay, Battin, Malcolm, Bourchier, David, Richardson, Vaughan, Synnes, Anne, Rouvinez-Bouali, Nicole, Piedboeuf, Bruno, Bulleid, Barbara, Yee, Wendy, Singhal, Nalini, Harrison, Adele, Tan-Dy, Cherrie, Shivananda, Sandesh, Tan, Kenneth, James, Andrew, Seshia, Molly, Barrington, Keith, Lefebvre, Francine, McMillan, Doug, Andrews, Wayne, Kovacs, Lajos, Dow, Kimberly, Clarke, Maxine, Riley, Patricia, Shah, Prakesh, Ohlsson, Arne, Aziz, Khalid, Peliowski, Abraham, Cieslak, Zenon, Sorokan, Todd, Kalapesi, Zarin, Ninan, Abraham, Sankaran, Koravangattu, Faucher, Daniel, Cronin, Gerarda, Canning, Roderick, da Silva, Orlando, Lee, David, Ojah, Cecil, Dunn, Michael, Heymann, Eli, Zangen, Shmuel, Kushnir, Amir, Mimouni, Francis, Bader, David, Rothschild, Avi, Strauss, Zipora, Felszer, Clari, Jeryes, Jamalia, Even Tov-Friedman, Smadar, Bar-Oz, Benjamin, Feldman, Michael, Saad, Nizar, Flidel-Rimon, Orna, Weisbrod, Meir, Lubin, Daniel, Litmanovitz, Ita, Blazer, Shraga, Shinwell, Eric, Sirota, Leah, Nijim, Yousif, Golan, Agneta, Mandel, Dror, Fleisher-Sheffer, Vered, Kohelet, David, Bakhrakh, Lev, Hattori, Satoshi, Konishi, Shohei, Amizuka, Takasuke, Kasai, Takeo, Takahasi, Ritsuko, Arai, Hirokazu, Sato, Maki, Miyazono, Yayoi, Shimizu, Junichi, Suzumura, Hiroshi, Kono, Yumi, Inoue, Takahiro, Miyabayashi, Hiroshi, Sobajima, Hisanori, Ishiguro, Rika, Sato, Hiroyuki, Totsu, Satsuki, Ishii, Nozomi, Hosono, Shigeharu, Shiraishi, Mika, Miura, Humihiro, Nakao, Atsushi, Yoda, Hitoshi, Shimizu, Mitsumasa, Seki, Kazuo, Itani, Yasuhumi, Suzuki, Keiji, Nemoto, Atsushi, Nakamura, Tomohiko, Wada, Masaki, Nagayama, Yoshihisa, Numata, Osamu, Futatani, Takeshi, Ueno, Yasuhisa, Iwai, Kazuyuki, Kono, Yoshinori, Ooki, Shigeru, Nakazawa, Yusuke, Suzuki, Chizuko, Tanaka, Taihei, Bonno, Motoki, Nakamura, Kenji, Kihara, Minako, Sano, Hiroyuki, Shiraishi, Atsushi, Ohashi, Atsushi, Ichiba, Hiroyuki, Sumi, Kiyoaki, Yoshimoto, Seiji, Takahashi, Yukihiro, Okutani, Takahiro, Miura, Masumi, Kato, Fumihide, Watabe, Shinichi, Kageyama, Misao, Fukuhara, Rie, Hayashitani, Michiko, Hasegawa, Keiko, Koyano, Kosuke, Kobayashi, Shoko, Akiyoshi, Shinosuke, Nakata, Yusei, Kanda, Takeshi, Tadashi, Hisano, Kanda, Hiroshi, Nakamura, Masaki, Matsumoto, Naoko, Ochiai, Masayuki, Aoki, Mikihiro, Kawase, Akihiko, Iida, Koichi, Ishihara, Chie, Kohama, Moriyasu, Seara, M<ce:sup loc='post">a</ce:sup> José Fernández, Bermúdez, José M<ce:sup loc='post">a</ce:sup> Fraga, Martínez Gutiérrez, Andrés, Martínez Ayúcar, María Mercedes, Díaz, Carolina Vizcaíno, Quiles Durá, José Luis, González Santacruz, María, Siguile, M<ce:sup loc='post">a</ce:sup> Anne Feret, Fernández, Adela Rodríguez, Fernández Colomer, Belén, García López, Enrique, Figuera Aloy, Josep, Botet Mussons, Francesc, Anquela Sanz, Israel, Galiana, Gemma Ginovart, Moliner Calderon, Elisenda, Pujol, Antonio Natal, Vives, Alicia Mirada, Iriondo Sanz, Martín, Porta, Roser, Cogul, Eva Capdevila, Castells Vilella, Laura, Álvarez, Bruno Alonso, Montero Macarro, José María, Barrio Sacristán, Ana R., Cuesta, M<ce:sup loc='post">a</ce:sup> Jesús López, Tardío, Ortiz, Sánchez Puerta, Eugenia Valls, Benavente Fernández, Isabel, Romero, Juan Mena, Martinez Gimenez, María Dolores, Olmos, Ramón Aguilera, Segura, Ricardo Tosca, Cabañas, Juana M<ce:sup loc='post">a</ce:sup> Guzmán, Muñoz, M<ce:sup loc='post">a</ce:sup> Dolores Huertas, Trujillo, Alberto, Moltó Ripoll, Luis Fidel, Hurtado Suazo, José Antonio, Aldea Romero, Ana Elena, Grisolía, Luis Paisán, Garrido Ocana, Ana Isabel, Soblechero, Eduardo Garcia, Ruiz del Prado, M<ce:sup loc='post">a</ce:sup> Yolanda, Díez, Inés Esteba, González-Luis, Gema E., García-Muñoz Rodrigo, Fermín, Iglesias, Emilio Álvaro, Calvo, Fernando Fernandez, Solé Mir, Eduard, Martí, Jordi Garcia, Ortiz Movilla, Roberto, Vilaplana, Lucía Cabanillas, San Miguel, Marta García, Martín, Isabel Llana, Díaz, María Fernández, Pérez Rodríguez, Jesús, Salas, Sofía, Labian, Carmen Muñoz, González Armengod, Carmen, Comeche, Laura Domingo, Sánchez Tamayo, Tomás, García del Río, Manuel, Alonso Gallego, José Ángel, Lloreda Garcia, José María, González, Javier Vilas, Ocampo, Insunza, Nieves Balado, García González, Pilar, Granero Asencio, Mercedes, Sanz, Antonia López, Díaz, Carmen Macías, Ferrari Cortés, Araceli, Fuster Jorge, Pedro Amadeo, López Mendoza, Santiago, Ramírez, Sabina Romero, Font, M<ce:sup loc='post">a</ce:sup> del Mar Albújar, de Ureta Huertas, Alicia, Plana, Antonio Arroyos, Capell, Javier Estañ, Roqués, Vicente, Morcillo, F., Marín, Sara, Omaña, María Fernanda, Iturriaga, Gabriel Saitua, Kofron, Jiri, Brodd, Katarina Strand, Odlind, Andreas, Alberg, Lars, Arwehed, Sofia, Engström, Eva, Kasemo, Anna, Ekelund, Charlotte, Åhman, Lars, Ingemarsson, Fredrik, Österdahl, Laura, Thurn, Pernilla, Albinsson, Eva, Selander, Bo, Lundberg, Fredrik, Heimdahl, Ingela, Hafström, Ola, Wejryd, Erik, Kuusima-Löfbom, Johanna, Lund, Ellen-Elisabeth, Thorén, Annelie, Hallberg, Boubou, Broström, Eva Berggren, Hertzberg, Torbjörn, Stjernstedt, Björn, Robinson, Johan, Farooqi, Aijaz, Normann, Erik, Fredriksson, Magnus, Palm, Anders, Hedblom, Åsa, Sjöberg, Kenneth, Thorbjörnsson, Leif, Ohlin, Andreas, Florell, Rein, Smedsaas-Löfvenberg, Agneta, Meyer, Philipp, Anderegg, Claudia, Schulzke, Sven, Nelle, Mathias, Wagner, Bendicht, Bär, Walter, Kaczala, Grégoire, Pfister, Riccardo E., Tolsa, Jean-François, Roth, Matthias, Berger, Thomas M., Laubscher, Bernhard, Malzacher, Andreas, Micallef, John P., Hegi, Lukas, Bassler, Dirk, Arlettaz, Romaine, Bernet, Vera, Bag, Santanu, Kefas, Jonathan, Rackham, Oliver, Thirumurgan, Arumugavelu, Yoxall, Bill, McBride, Tim, Webb, Delyth, Amegavie, Laweh, Hassan, Ahmed, Ambadkar, Priyadarshan, Dyke, Mark, Babiker, Seif, Rubin, Susan, Ogilvy-Stuart, Amanda, Panasa, Nagesh, Settle, Paul, Moise, Jonathan, Edi-Osagie, Ngozi, Heal, Carrie, Birch, Jacqeline, Hasib, Abdul, Soe, Aung, Kumar, Niraj, Kisat, Hamudi, Vasu, Vimal, Lama, Meera, Gupta, Richa, Rawlingson, Chris, Wickham, Tim, Schwarz, Karin, Sommen, Van, Watkin, Sara, Gupta, Aashish, Aladangady, Narendra, Ali, Imdad, Alsford, Lesley, Mannan, Khalid, Rainer, Ebel, Wilson, Nicholas, Thomas, Mark, Mathur, Ramnik, Cruwys, Michele, Godambe, Sunit, Watts, Timothy, Kuna, Jauro, Chang, John, Filkin, Jon, Huddy, Charlotte, Shephard, Ruth, Zieba, Krzystof, Rao, Patti, Currie, Andrew, Manzoor, Azhar, Ahmed, Munir, Simmons, Phil, Nycyk, Julie, Gallagher, Andrew, Halahakoon, Chrisantha, Deshpande, Sanjeev, Mohite, Anand, Palmer, Kate, Gibson, Alan, Garbash, Mehdi, Lal, Mithilesh, Abu-Harb, Majd, McKeon-Carter, Róisín, Selter, Michael, Munyard, Paul, Lewis, Vaughan, Raman, Mala, Whincup, Graham, Mallik, Abdus, Amess, Philip, Godden, Charles, Reynolds, Peter, Misra, Indranil, Shettihalli, Naveen, De Halpert, Peter, Salgia, Sanjay, Sanghavi, Rekha, Wigfield, Ruth, Deketelaere, Abby, Khashu, Minesh, Hall, Michael, Groves, Charlotte, Brown, Nick, Brennan, Nick, Vamvakiti, Katia, Ratnayaka, Mal, Pirie, Simon, Jones, Stephen, Mannix, Paul, Harding, David, Eaton, Megan, Gibson, David, Miall, Lawrence, Shah, Prakesh S., Sjörs, Gunnar, Mirea, Lucia, Reichman, Brian, Adams, Mark, Modi, Neena, Darlow, Brian A., Kusuda, Satoshi, San Feliciano, Laura, Yang, Junmin, Håkansson, Stellan, Mori, Rintaro, Figueras-Aloy, Josep, and Lee, Shoo K.

Published
2016
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