S. Khoomrung

发表

Comparison of the metabolic response to over-production of p-coumaric acid in two yeast strains.

J. Nielsen, Yun Chen, I. Borodina, 2017, Metabolic engineering.

Modular pathway rewiring of Saccharomyces cerevisiae enables high-level production of L-ornithine

B. Jiang, A. Krivoruchko, V. Siewers, 2015, Nature Communications.

Rapid quantification of yeast lipid using microwave-assisted total lipid extraction and HPLC-CAD.

I. Nookaew, J. Borén, Pramote Chumnanpuen, 2013, Analytical chemistry.

Comparative Systems Analyses Reveal Molecular Signatures of Clinically tested Vaccine Adjuvants

Intawat Nookaew, Stefan H. E. Kaufmann, Yuan Zhang, 2016, Scientific Reports.

Expanded metabolite coverage of Saccharomyces cerevisiae extract through improved chloroform/methanol extraction and tert-butyldimethylsilyl derivatization

J. Nielsen, J. Martínez, Marieke F. Buffing, 2015 .

Maternal beef and postweaning herring diets increase bone mineral density and strength in mouse offspring

I. Nookaew, C. Ohlsson, A. Holmäng, 2013, Experimental biology and medicine.

Improved quantification of farnesene during microbial production from Saccharomyces cerevisiae in two-liquid-phase fermentations.

Jens Nielsen, J. Nielsen, Stefan Tippmann, 2016, Talanta.

UPLC-ESI-MRM/MS for Absolute Quantification and MS/MS Structural Elucidation of Six Specialized Pyranonaphthoquinone Metabolites From Ventilago harmandiana

Jonathan L. Robinson, I. Nookaew, S. Khoomrung, 2021, Frontiers in Plant Science.

Identification of arsenolipids with GC/MS.

G. Raber, S. Khoomrung, J. Edmonds, 2009, Talanta.

Effects of Long-Term Supplementation of Eggs on Growth, Biochemical Indices, and Microbiota of Rural Thai Primary School Children

S. Khoomrung, I. Thaipisuttikul, K. Sranacharoenpong, 2022, medRxiv.

GC × GC-TOFMS metabolomics analysis identifies elevated levels of plasma sugars and sugar alcohols in diabetic mellitus patients with kidney failure

S. Khoomrung, Y. Sirivatanauksorn, N. Jariyasopit, 2022, The Journal of biological chemistry.

Metabolic profiles alteration of Southern Thailand traditional sweet pickled mango during the production process

S. Khoomrung, A. Panya, N. Phonsatta, 2022, Frontiers in Nutrition.

Fast and accurate preparation fatty acid methyl esters by microwave-assisted derivatization in the yeast Saccharomyces cerevisiae

I. Nookaew, J. Nielsen, S. Khoomrung, 2012, Applied Microbiology and Biotechnology.

Physiological characterization of the high malic acid-producing Aspergillus oryzae strain 2103a-68

Stephen H. Brown, I. Nookaew, J. Nielsen, 2014, Applied Microbiology and Biotechnology.

Traveling Wave Ion Mobility-Derived Collision Cross Section Database for Plant Specialized Metabolites: An Application to Ventilago harmandiana Pierre

P. Kittakoop, S. Khoomrung, V. Reutrakul, 2022, Journal of proteome research.

Physiological characterization of the high malic acid-producing Aspergillus oryzae strain 2103a-68

I. Nookaew, I. Remmers, J. Nielsen, 2014, Applied Microbiology and Biotechnology.

Revisiting chloroplast genomic landscape and annotation towards comparative chloroplast genomes of Rhamnaceae

I. Nookaew, W. Visessanguan, P. Ajawatanawong, 2023, BMC Plant Biology.

Changes in lipid metabolism convey acid tolerance in Saccharomyces cerevisiae

Lisbeth Olsson, Jens Nielsen, L. Olsson, 2018, Biotechnology for Biofuels.

Reengineering lipid biosynthetic pathways of Aspergillus oryzae for enhanced production of γ-linolenic acid and dihomo-γ-linolenic acid.

K. Laoteng, S. Khoomrung, C. Chutrakul, 2019, Gene.

Volatile and non‐volatile compound profiles of commercial sweet pickled mango and its correlation with consumer preference

S. Khoomrung, A. Panya, N. Phonsatta, 2022, International Journal of Food Science & Technology.

Deep metabolome: Applications of deep learning in metabolomics

Kwanjeera Wanichthanarak, Sakda Khoomrung, Yotsawat Pomyen, 2020, Computational and structural biotechnology journal.

High-Resolution QTOF-MRM for Highly Accurate Identification and Quantification of Trace Levels of Triterpenoids in Ganoderma lucidum Mycelium.

W. Visessanguan, S. C. C. Wong, S. Khoomrung, 2021, Journal of the American Society for Mass Spectrometry.

Quantitative analysis of nutrient metabolite compositions of retail cow’s milk and milk alternatives in Thailand using GC-MS

W. Visessanguan, S. Khoomrung, A. Panya, 2021 .

Significance of fatty acid supplementation on profiles of cell growth, fatty acid, and gene expression of three desaturases in Mucor rouxii

S. Cheevadhanarak, K. Laoteng, S. Khoomrung, 2008, Applied Microbiology and Biotechnology.

Rise of Deep Learning for Genomic, Proteomic, and Metabolomic Data Integration in Precision Medicine

Kwanjeera Wanichthanarak, Dmitry Grapov, Sakda Khoomrung, 2018, Omics : a journal of integrative biology.

Deep learning meets metabolomics: a methodological perspective

Partho Sen, Santosh Lamichhane, Vivek B Mathema, 2020, Briefings Bioinform..

Evolutionary engineering reveals divergent paths when yeast is adapted to different acidic environments.

Amir Feizi, Jens Nielsen, Eugene Fletcher, 2017, Metabolic engineering.

Metabolic profiling and compound-class identification reveal alterations in serum triglyceride levels in mice immunized with human vaccine adjuvant Alum.

I. Nookaew, J. Nielsen, T. Moritz, 2019, Journal of proteome research.

Deep Proteomic Deconvolution of Interferons and HBV Transfection Effects on a Hepatoblastoma Cell Line

Jonathan L. Robinson, T. Pisitkun, S. Khoomrung, 2020, ACS omega.

Enhanced amino acid utilization sustains growth of cells lacking Snf1/AMPK.

L. Alberghina, J. Nielsen, F. Tripodi, 2015, Biochimica et biophysica acta.

Polycyclic aromatic compounds in urban air and associated inhalation cancer risks: A case study targeting distinct source sectors.

G. Evans, S. Halappanavar, K. Su, 2019, Environmental pollution.

Accounting for biological variation with linear mixed-effects modelling improves the quality of clinical metabolomics data

Natapol Pornputtapong, Kwanjeera Wanichthanarak, Saharuetai Jeamsripong, 2019, Computational and structural biotechnology journal.

Deep learning facilitates multi-data type analysis and predictive biomarker discovery in cancer precision medicine

M. Orešič, S. Lamichhane, Partho Sen, 2023, Computational and structural biotechnology journal.

Identification and characterization of fish oil supplements based on fatty acid analysis combined with a hierarchical clustering algorithm

G. Raber, K. Laoteng, S. Khoomrung, 2014 .

Prolonged Egg Supplement Advances Growing Child’s Growth and Gut Microbiota

S. Khoomrung, P. Akarasereenont, B. Suktitipat, 2023, Nutrients.

Functional expression and characterization of five wax ester synthases in Saccharomyces cerevisiae and their utility for biodiesel production

Jens Nielsen, Verena Siewers, J. Nielsen, 2012, Biotechnology for Biofuels.

A maternal diet of fatty fish reduces body fat of offspring compared with a maternal diet of beef and a post‐weaning diet of fish improves insulin sensitivity and lipid profile in adult C57BL/6 male mice

I. Nookaew, J. Nielsen, A. Holmäng, 2013, Acta physiologica.

Metabolomics and Integrative Omics for the Development of Thai Traditional Medicine

I. Nookaew, S. Khoomrung, P. Akarasereenont, 2017, Front. Pharmacol..

CRISP: a deep learning architecture for GC × GC–TOFMS contour ROI identification, simulation and analysis in imaging metabolomics

S. Khoomrung, V. B. Mathema, Y. Sirivatanauksorn, 2022, Briefings Bioinform..

Predicting lupus membranous nephritis using reduced picolinic acid to tryptophan ratio as a urinary biomarker

Y. Pomyen, W. Visessanguan, S. Khoomrung, 2021, iScience.

Engineering yeast phospholipid metabolism for de novo oleoylethanolamide production

J. Nielsen, A. Krivoruchko, Quanli Liu, 2019, Nature Chemical Biology.

Fast and accurate preparation fatty acid methyl esters by microwave-assisted derivatization in the yeast Saccharomyces cerevisiae

Intawat Nookaew, Jens Nielsen, Pramote Chumnanpuen, 2012, Applied Microbiology and Biotechnology.

Evolutionary engineering reveals divergent paths when yeast is adapted to different acidic environments.

V. Siewers, A. Feizi, S. Khoomrung, 2017, Metabolic engineering.

I. Nookaew, A. Holmäng, S. Khoomrung, 2013, Acta physiologica.

Accurate Prediction of Ion Mobility Collision Cross-Section Using Ion’s Polarizability and Molecular Mass with Limited Data

W. Visessanguan, S. Khoomrung, Pattipong Wisanpitayakorn, 2024, J. Chem. Inf. Model..

Mass spectrometry-based analysis of gut microbial metabolites of aromatic amino acids

S. Khoomrung, N. Jariyasopit, 2023, Computational and structural biotechnology journal.