Similar articles for PMID: 29761429

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1857	1
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1

Guidelines for Sample Normalization to Minimize Batch Variation for Large-Scale Metabolic Profiling of Plant Natural Genetic Variance.

Alseekh S, Wu S, Brotman Y, Fernie AR. Alseekh S, et al. Methods Mol Biol. 2018;1778:33-46. doi: 10.1007/978-1-4939-7819-9_3. Methods Mol Biol. 2018. PMID: 29761429

2

Using Metabolomics to Assist Plant Breeding.

Alseekh S, Fernie AR. Alseekh S, et al. Methods Mol Biol. 2021;2264:33-46. doi: 10.1007/978-1-0716-1201-9_3. Methods Mol Biol. 2021. PMID: 33263901

3

Metabolomic Analysis of Natural Variation in Arabidopsis.

Wu S, Alseekh S, Brotman Y, Fernie AR. Wu S, et al. Methods Mol Biol. 2021;2200:393-411. doi: 10.1007/978-1-0716-0880-7_19. Methods Mol Biol. 2021. PMID: 33175389

4

LC-MS profiling to link metabolic and phenotypic diversity in plant mapping populations.

Hill CB, Bacic A, Roessner U. Hill CB, et al. Methods Mol Biol. 2014;1198:29-41. doi: 10.1007/978-1-4939-1258-2_3. Methods Mol Biol. 2014. PMID: 25270921

5

Translational Metabolomics of Head Injury: Exploring Dysfunctional Cerebral Metabolism with Ex Vivo NMR Spectroscopy-Based Metabolite Quantification.

Wolahan SM, Hirt D, Glenn TC. Wolahan SM, et al. In: Kobeissy FH, editor. Brain Neurotrauma: Molecular, Neuropsychological, and Rehabilitation Aspects. Boca Raton (FL): CRC Press/Taylor & Francis; 2015. Chapter 25. In: Kobeissy FH, editor. Brain Neurotrauma: Molecular, Neuropsychological, and Rehabilitation Aspects. Boca Raton (FL): CRC Press/Taylor & Francis; 2015. Chapter 25. PMID: 26269925 Free Books & Documents. Review.

6

Mixture model normalization for non-targeted gas chromatography/mass spectrometry metabolomics data.

Reisetter AC, Muehlbauer MJ, Bain JR, Nodzenski M, Stevens RD, Ilkayeva O, Metzger BE, Newgard CB, Lowe WL Jr, Scholtens DM. Reisetter AC, et al. BMC Bioinformatics. 2017 Feb 2;18(1):84. doi: 10.1186/s12859-017-1501-7. BMC Bioinformatics. 2017. PMID: 28153035 Free PMC article.

7

Optimal inter-batch normalization method for GC/MS/MS-based targeted metabolomics with special attention to centrifugal concentration.

Zaitsu K, Noda S, Ohara T, Murata T, Funatsu S, Ogata K, Ishii A, Iguchi A. Zaitsu K, et al. Anal Bioanal Chem. 2019 Oct;411(26):6983-6994. doi: 10.1007/s00216-019-02073-w. Epub 2019 Aug 28. Anal Bioanal Chem. 2019. PMID: 31463516

8

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization.

Bulut M, Fernie AR, Alseekh S. Bulut M, et al. J Vis Exp. 2021 Jul 27;(173). doi: 10.3791/62732. J Vis Exp. 2021. PMID: 34398159

9

The combination of four analytical methods to explore skeletal muscle metabolomics: Better coverage of metabolic pathways or a marketing argument?

Bruno C, Patin F, Bocca C, Nadal-Desbarats L, Bonnier F, Reynier P, Emond P, Vourc'h P, Joseph-Delafont K, Corcia P, Andres CR, Blasco H. Bruno C, et al. J Pharm Biomed Anal. 2018 Jan 30;148:273-279. doi: 10.1016/j.jpba.2017.10.013. Epub 2017 Oct 18. J Pharm Biomed Anal. 2018. PMID: 29059617

10

Untargeted GC-MS Metabolomics.

Papadimitropoulos MP, Vasilopoulou CG, Maga-Nteve C, Klapa MI. Papadimitropoulos MP, et al. Methods Mol Biol. 2018;1738:133-147. doi: 10.1007/978-1-4939-7643-0_9. Methods Mol Biol. 2018. PMID: 29654587

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