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Titlebook: Microbial Metabolomics; Methods and Protocol Edward E.K. Baidoo Book 2019 Springer Science+Business Media, LLC, part of Springer Nature 201

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發(fā)表于 2025-3-23 11:42:12 | 只看該作者
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Determining the Mode of Action of Antimalarial Drugs Using Time-Resolved LC-MS-Based Metabolite Profding of the metabolic perturbations induced by small molecule inhibitors. The protocol provides details on the experimental design, . culture, sample preparation, analytical approaches, and data analysis used in either targeted (pathway focused) or untargeted (all detected metabolites) analysis of d
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發(fā)表于 2025-3-23 22:24:28 | 只看該作者
A High-Throughput Targeted Metabolomics Workflow for the Detection of 200 Polar Metabolites in Centrpes of biological samples such as bacteria, cultured mammalian cells, animal tissues and biofluids (e.g., serum and urine). Finally, the MRMAnalyzer software can automatically process the generated large-scale data set with high efficiency. We hope it is a valuable and efficient workflow for researc
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發(fā)表于 2025-3-24 03:49:53 | 只看該作者
Book 2019readily reproducible protocols, and tips on troubleshooting and avoiding known pitfalls..Authoritative and practical, .Microbial Metabolomics: Methods and Protocols. serves as an ideal reference for both novice and advanced users and can be adapted to similar analytical platforms or customized to su
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發(fā)表于 2025-3-24 06:56:16 | 只看該作者
1064-3745 uthoritative and practical, .Microbial Metabolomics: Methods and Protocols. serves as an ideal reference for both novice and advanced users and can be adapted to similar analytical platforms or customized to su978-1-4939-8757-3Series ISSN 1064-3745 Series E-ISSN 1940-6029
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發(fā)表于 2025-3-24 14:37:50 | 只看該作者
Christiane Gon?alves Campos,José Ant?nio de Aquino Ribeiro,Jo?o Ricardo Moreira de Almeida,Betania F
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發(fā)表于 2025-3-24 15:01:27 | 只看該作者
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發(fā)表于 2025-3-24 20:05:38 | 只看該作者
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發(fā)表于 2025-3-25 02:52:51 | 只看該作者
Exploiting High-Resolution Mass Spectrometry for Targeted Metabolite Quantification and 13C-Labelingscribed. Furthermore, we adapt this new approach to a dynamic .C-labeling experiment and demonstrate its unique advantage in capturing and correcting isotopomer labeling curves to facilitate nonstationary .C-labeling metabolism analysis.
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