Institution
Washington State University
Education•Pullman, Washington, United States•
About: Washington State University is a education organization based out in Pullman, Washington, United States. It is known for research contribution in the topics: Population & Gene. The organization has 26947 authors who have published 57736 publications receiving 2341509 citations. The organization is also known as: WSU & Wazzu.
Topics: Population, Gene, Catalysis, Context (language use), Poison control
Papers published on a yearly basis
Papers
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TL;DR: Theories of the mechanics, thermodynamics, kinetics, and shear strength of shock-loaded materials are described and experimental techniques are briefly reviewed in this paper, and comprehensive tabulations of experimental observations are presented and materials that have been subjected to in-depth study are reviewed in more detail.
Abstract: First-order polymorphic, second-order, melting, and freezing transitions induced by shock-wave loading are reviewed. Comprehensive tabulations of the experimental observations are presented and materials that have been subjected to in-depth study are reviewed in more detail. Theories of the mechanics, thermodynamics, kinetics, and shear strength of shock-loaded materials are described and experimental techniques are briefly reviewed.
518 citations
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TL;DR: Induced oleoresinosis in grand fir (Abies grandis) provides a model system for studying the regulation of defensive terpene biosynthesis and for identifying relevant genes.
517 citations
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TL;DR: The puroindolines represent the molecular-genetic basis of the Hardness locus on chromosome 5DS and the soft (Ha) and hard (ha) alleles present in hexaploid bread wheat varieties.
Abstract: The variation in grain hardness is the single most important trait that determines end-use quality of wheat. Grain texture classification is based primarily on either the resistance of kernels to crushing or the particle size distribution of ground grain or flour. Recently, the molecular genetic basis of grain hardness has become known, and it is the focus of this review. The puroindoline proteins a and b form the molecular basis of wheat grain hardness or texture. When both puroindolines are in their 'functional' wild state, grain texture is soft. When either one of the puroindolines is absent or altered by mutation, then the result is hard texture. In the case of durum wheat which lacks puroindolines, the texture is very hard. Puroindolines represent the molecular-genetic basis of the Hardness locus on chromosome 5DS and the soft (Ha) and hard (ha) alleles present in hexaploid bread wheat varieties. To date, seven discrete hardness alleles have been described for wheat. All involve puroindoline a or b and have been designated Pina-D1b and Pinb-D1b through Pinb-D1g. A direct role of a related protein, grain softness protein (as currently defined), in wheat grain texture has yet to be demonstrated.
516 citations
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Washington State University1, Chinese Academy of Sciences2, United States Environmental Protection Agency3, Swiss Federal Institute of Aquatic Science and Technology4, Universidade Federal de Juiz de Fora5, Universidade Federal de Minas Gerais6, Federal University of Rio de Janeiro7, University of Amsterdam8
TL;DR: In this article, the authors synthesize reservoir CH4, CO2, and N2O emission data with three main objectives: (1) to generate a global estimate of GHG emissions from reservoirs, (2) to identify the best predictors of these emissions, and (3) to consider the effect of methodology on emission estimates.
Abstract: Collectively, reservoirs created by dams are thought to be an important source of greenhouse gases (GHGs) to the atmosphere. So far, efforts to quantify, model, and manage these emissions have been limited by data availability and inconsistencies in methodological approach. Here, we synthesize reservoir CH4, CO2, and N2O emission data with three main objectives: (1) to generate a global estimate of GHG emissions from reservoirs, (2) to identify the best predictors of these emissions, and (3) to consider the effect of methodology on emission estimates. We estimate that GHG emissions from reservoir water surfaces account for 0.8 (0.5-1.2) Pg CO2 equivalents per year, with the majority of this forcing due to CH4. We then discuss the potential for several alternative pathways such as dam degassing and downstream emissions to contribute significantly to overall emissions. Although prior studies have linked reservoir GHG emissions to reservoir age and latitude, we find that factors related to reservoir productivity are better predictors of emission.
515 citations
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TL;DR: It is reported here that a tumour line, modified to be sensitive to NK cytotoxicity by in vitro culture, demonstrated in vivo an increased growth rate, faster induction time and an increased metastatic capability in bg compared to control mice.
Abstract: Although natural killer (NK) cells are thought to give the host a spontaneous resistance against tumours and have been postulated to act in vivo as surveillor cells, definitive data in support of these hypotheses has not been obtained. Recently the beige (bg) mouse, a morphological homologue of the human Chediak-Higashi (CH) syndrome, was shown to be deficient in NK activity. Specifically, spleen cells of bg mice were demonstrated to be incapable of in vitro natural cytotoxicity against tumour cells. We report here that a tumour line, modified to be sensitive to NK cytotoxicity by in vitro culture, demonstrated in vivo an increased growth rate, faster induction time and an increased metastatic capability in bg compared to control mice. This was not found with a tumour line insensitive to NK activity (without in vitro culture). In vivo activation of NK cells in bg and control mice resulted in a decrease in tumour growth rate and metastatic frequency. These results demonstrate that NK cells have an important function in the host's control of tumour growth and metastasis.
513 citations
Authors
Showing all 27183 results
Name | H-index | Papers | Citations |
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Anil K. Jain | 183 | 1016 | 192151 |
Martin Karplus | 163 | 831 | 138492 |
Herbert A. Simon | 157 | 745 | 194597 |
Suvadeep Bose | 154 | 960 | 129071 |
Rajesh Kumar | 149 | 4439 | 140830 |
Kevin Murphy | 146 | 728 | 120475 |
Jonathan D. G. Jones | 129 | 417 | 80908 |
Douglas E. Soltis | 127 | 612 | 67161 |
Peter W. Kalivas | 123 | 428 | 52445 |
Chris Somerville | 122 | 284 | 45742 |
Pamela S. Soltis | 120 | 543 | 61080 |
Yuehe Lin | 118 | 641 | 55399 |
Howard I. Maibach | 116 | 1821 | 60765 |
Jizhong Zhou | 115 | 766 | 48708 |
Farshid Guilak | 110 | 480 | 41327 |