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| http://dx.doi.org/10.1007/s11427-020-1717-9 | DOI Listing |
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Immunomodulatory drug (IMiD) resistance is a key clinical challenge in myeloma treatment. Previous data suggests almost one third of myeloma patients acquire mutations in the key IMiD effector cereblon by the time they are pomalidomide refractory. Some events, including stop codons/frameshift mutations and copy loss, having clearly explicable effects on cereblon function.
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Department of Soil Science of Temperate Ecosystems, Department of Agricultural Soil Science, University of Goettingen, Göttingen, Germany.
Carbon use efficiency (CUE) of microbial communities in soil quantifies the proportion of organic carbon (C) taken up by microorganisms that is allocated to growing microbial biomass as well as used for reparation of cell components. This C amount in microbial biomass is subsequently involved in microbial turnover, partly leading to microbial necromass formation, which can be further stabilized in soil. To unravel the underlying regulatory factors and spatial patterns of CUE on a large scale and across biomes (forests, grasslands, croplands), we evaluated 670 individual CUE data obtained by three commonly used approaches: (i) tracing of a substrate C by C (or C) incorporation into microbial biomass and respired CO (hereafter C-substrate), (ii) incorporation of O from water into DNA (O-water), and (iii) stoichiometric modelling based on the activities of enzymes responsible for C and nitrogen (N) cycles.
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Department of Physics and Center for Complexity and Biosystems, Università degli Studi di Milano and INFN, Milano, Italy.
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Water, Health, and Applied Microbiology Lab (WHAM Lab), Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada.
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Water Res
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The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing, China; College of Hydrology and Water Resources, Hohai University, Nanjing, China.
The integrated application of hydrological models and best management practices (BMPs) serves as a pivotal decision-making tool for managing nonpoint source (NPS) pollution in watersheds. Optimizing and selecting BMP options are critical challenges in managing NPS pollution, as these processes are typically computationally expensive and involve mixed discrete-continuous decision variables. Our study integrated a novel method, the multi-objective adaptive surrogate modeling-based optimization for constrained hybrid problems (MO-ASMOCH), with the distributed Soil and Water Assessment Tool (SWAT) model to efficiently optimize the deployment of BMPs in the Four Lakes watershed of China.
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