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Institution

United States Department of Energy

GovernmentWashington D.C., District of Columbia, United States
About: United States Department of Energy is a government organization based out in Washington D.C., District of Columbia, United States. It is known for research contribution in the topics: Catalysis & Coal. The organization has 13656 authors who have published 14177 publications receiving 556962 citations. The organization is also known as: DOE & Department of Energy.
Topics: Catalysis, Coal, Combustion, Adsorption, Hydrogen


Papers
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Journal ArticleDOI
TL;DR: The report reviews and evaluates the current literature on chemically induced specific locus mutations in the V79 Chinese hamster lung cell line, and discusses the protocols for quantitative mutation studies including measurements of cytotoxicity, mutant expression times, mutant selection agents, cell densities during selection, and the stability and verification of mutant phenotypes.
Abstract: The report reviews and evaluates the current literature (about 125 primary publications) on chemically induced specific locus mutations in the V79 Chinese hamster lung cell line. The V79 cell is convenient to use for mutagenesis studies since it has a rapid growth rate, high plating efficiency, and a stable karyotype. Mutation can be easily measured at either the hypoxanthine-guanine phosphoribosyl transferase or the Na+/K+ ATPase locus, both of which have been well characterized. Other less-studied markers are also described. We discuss the protocols for quantitative mutation studies including measurements of cytotoxicity, mutant expression times, mutant selection agents, cell densities during selection, and the stability and verification of mutant phenotypes. Mutations in the V79 cells by chemicals that require activation can be tested after their metabolism by cell homogenates or by intact cells, and the results with each type of activation are compared. For purposes of analysis, we classified a compound as mutagenic if it induced a mutation frequency that is at least 3 times higher than the spontaneous mutant frequency reported for that specific experiment. By this criterion two-thirds of the chemicals analyzed were mutagenic--; 11% with and 55% without metabolic activation. Of the 191 chemicals examined; 119 were polycyclic aromatic hydrocarbons; 25 were nitro or nitroso compounds, 9 were alkyl halides; 7 were purine or pyrimidine derivatives and the remaining 31 were from other chemical classes. We also defined mutagenic potency as the concentration of a compound that increases the mutant frequency by 10 times the spontaneous frequency. Mutagenic potencies of the compounds examined varied over a range of 5 X 10(6). We have also found large interlaboratory variations in the mutagenic potencies. Such variation in potency could be reduced by normalizing the results to a standard mutagen such as N-methyl-N'-nitro-N-nitrosoguanidine. The role of the V79 assay in mutagenicity and carcinogenicity testing is discussed and recommendations are suggested for future investigation.

293 citations

Journal ArticleDOI
TL;DR: In this article, the core hole Auger decay mechanism of Knotek and Feibelman is applied to the stability of ionic materials in ionizing environments and the main result is that Auger induced decomposition will not occur unless the cation species in the solid is ionized down to a relatively deep filled shell.

291 citations

Journal ArticleDOI
TL;DR: In this article, a wind model is developed for studies of the dynamic interaction between wind farms and the power system to which they are connected, which is based on a power spectral description of the turbulence, including the coherence between wind speeds at different wind turbines in a wind farm, together with the effect of rotational sampling of the wind turbine blades in the rotors of individual wind turbines.

289 citations

Journal ArticleDOI
TL;DR: A similarity-based approach for prognostics of the Remaining Useful Life (RUL) of a system, i.e. the lifetime remaining between the present and the instance when the system can no longer perform its function.

289 citations

Journal ArticleDOI
TL;DR: It is shown that new high-throughput, massively parallel sequencing technologies can completely and accurately characterize a mutant genome relative to a previously sequenced parental (reference) strain and that detecting mutations in evolved and engineered organisms is rapid and cost-effective at the whole-genome level using new sequencing technologies.
Abstract: Forward genetic mutational studies, adaptive evolution, and phenotypic screening are powerful tools for creating new variant organisms with desirable traits. However, mutations generated in the process cannot be easily identified with traditional genetic tools. We show that new high-throughput, massively parallel sequencing technologies can completely and accurately characterize a mutant genome relative to a previously sequenced parental (reference) strain. We studied a mutant strain of Pichia stipitis, a yeast capable of converting xylose to ethanol. This unusually efficient mutant strain was developed through repeated rounds of chemical mutagenesis, strain selection, transformation, and genetic manipulation over a period of seven years. We resequenced this strain on three different sequencing platforms. Surprisingly, we found fewer than a dozen mutations in open reading frames. All three sequencing technologies were able to identify each single nucleotide mutation given at least 10–15-fold nominal sequence coverage. Our results show that detecting mutations in evolved and engineered organisms is rapid and cost-effective at the whole-genome level using new sequencing technologies. Identification of specific mutations in strains with altered phenotypes will add insight into specific gene functions and guide further metabolic engineering efforts.

289 citations


Authors

Showing all 13660 results

NameH-indexPapersCitations
Martin White1962038232387
Paul G. Richardson1831533155912
Jie Zhang1784857221720
Krzysztof Matyjaszewski1691431128585
Yang Gao1682047146301
David Eisenberg156697112460
Marvin Johnson1491827119520
Carlos Escobar148118495346
Joshua A. Frieman144609109562
Paul Jackson141137293464
Greg Landsberg1411709109814
J. Conway1401692105213
Pushpalatha C Bhat1391587105044
Julian Borrill139387102906
Cecilia Elena Gerber1381727106984
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20233
202223
2021633
2020601
2019654
2018598