Publications
2024
Deorphanizing solute carriers in <i>Saccharomyces cerevisiae</i> for secondary uptake of xenobiotic compounds.
Møller-Hansen, I., Sáez-Sáez, J., van der Hoek, S. A., Dyekjær, J. D., Christensen, H. B., Wright Muelas, M., . . . Borodina, I. (2024). Deorphanizing solute carriers in <i>Saccharomyces cerevisiae</i> for secondary uptake of xenobiotic compounds.. Frontiers in microbiology, 15, 1376653. doi:10.3389/fmicb.2024.1376653
2023
Quantitative LC-MS study of compounds found predictive of COVID-19 severity and outcome.
Roberts, I., Wright Muelas, M., Taylor, J. M., Davison, A. S., Winder, C. L., Goodacre, R., & Kell, D. B. (2023). Quantitative LC-MS study of compounds found predictive of COVID-19 severity and outcome.. Metabolomics : Official journal of the Metabolomic Society, 19(11), 87. doi:10.1007/s11306-023-02048-0
2022
Harmonizing Labeling and Analytical Strategies to Obtain Protein Turnover Rates in Intact Adult Animals
Hammond, D. E., Simpson, D. M., Franco, C., Muelas, M. W., Waters, J., Ludwig, R. W., . . . Lau, E. (2022). Harmonizing Labeling and Analytical Strategies to Obtain Protein Turnover Rates in Intact Adult Animals. MOLECULAR & CELLULAR PROTEOMICS, 21(7). doi:10.1016/j.mcpro.2022.100252
Untargeted metabolomics of COVID-19 patient serum reveals potential prognostic markers of both severity and outcome
Roberts, I., Muelas, M. W., Taylor, J. M., Davison, A. S., Xu, Y., Grixti, J. M., . . . Kell, D. B. (2022). Untargeted metabolomics of COVID-19 patient serum reveals potential prognostic markers of both severity and outcome. METABOLOMICS, 18(1). doi:10.1007/s11306-021-01859-3
2021
MassGenie: A Transformer-Based Deep Learning Method for Identifying Small Molecules from Their Mass Spectra
Shrivastava, A. D., Swainston, N., Samanta, S., Roberts, I., Wright Muelas, M., & Kell, D. B. (2021). MassGenie: A Transformer-Based Deep Learning Method for Identifying Small Molecules from Their Mass Spectra. BIOMOLECULES, 11(12). doi:10.3390/biom11121793
MassGenie: A Transformer-Based Deep Learning Method for Identifying Small Molecules From Their Mass Spectra
An Overview of Cell-Based Assay Platforms for the Solute Carrier Family of Transporters
Dvorak, V., Wiedmer, T., Ingles-Prieto, A., Altermatt, P., Batoulis, H., Baerenz, F., . . . Superti-Furga, G. (2021). An Overview of Cell-Based Assay Platforms for the Solute Carrier Family of Transporters. FRONTIERS IN PHARMACOLOGY, 12. doi:10.3389/fphar.2021.722889
MassGenie: a transformer-based deep learning method for identifying small molecules from their mass spectra
2020
An untargeted metabolomics strategy to measure differences in metabolite uptake and excretion by mammalian cell lines
Muelas, M. W., Roberts, I., Mughal, F., O'Hagan, S., Day, P. J., & Kell, D. B. (2020). An untargeted metabolomics strategy to measure differences in metabolite uptake and excretion by mammalian cell lines. METABOLOMICS, 16(10). doi:10.1007/s11306-020-01725-8
The RESOLUTE consortium: unlocking SLC transporters for drug discovery
Superti-Furga, G., Lackner, D., Wiedmer, T., Ingles-Prieto, A., & Steppan, C. M. (2020). The RESOLUTE consortium: unlocking SLC transporters for drug discovery. NATURE REVIEWS DRUG DISCOVERY, 19(7), 429-430. doi:10.1038/d41573-020-00056-6
An untargeted metabolomics strategy to measure differences in metabolite uptake and excretion by mammalian cell lines
Muelas, M. W., Roberts, I., Mughal, F., O’Hagan, S., Day, P., & Kell, D. (2020). An untargeted metabolomics strategy to measure differences in metabolite uptake and excretion by mammalian cell lines. doi:10.1101/2020.06.02.129239
2019
The role and robustness of the Gini coefficient as an unbiased tool for the selection of Gini genes for normalising expression profiling data
Muelas, M. W., Mughal, F., O'Hagan, S., Day, P. J., & Kell, D. B. (2019). The role and robustness of the Gini coefficient as an unbiased tool for the selection of Gini genes for normalising expression profiling data. SCIENTIFIC REPORTS, 9. doi:10.1038/s41598-019-54288-7
The role and robustness of the Gini coefficient as an unbiased tool for the selection of Gini genes for normalising expression profiling data
Muelas, M. W., Mughal, F., O’Hagan, S., Day, P. J., & Kell, D. B. (2019). The role and robustness of the Gini coefficient as an unbiased tool for the selection of Gini genes for normalising expression profiling data. doi:10.1101/718007
A brain-permeable inhibitor of the neurodegenerative disease target kynurenine 3-monooxygenase prevents accumulation of neurotoxic metabolites
Zhang, S., Sakuma, M., Deora, G. S., Levy, C. W., Klausing, A., Breda, C., . . . Scrutton, N. S. (2019). A brain-permeable inhibitor of the neurodegenerative disease target kynurenine 3-monooxygenase prevents accumulation of neurotoxic metabolites. COMMUNICATIONS BIOLOGY, 2. doi:10.1038/s42003-019-0520-5
2018
GeneGini: Assessment via the Gini Coefficient of Reference “Housekeeping” Genes and Diverse Human Transporter Expression Profiles
O'Hagan, S., Muelas, M. W., Day, P. J., Lundberg, E., & Kell, D. B. (2018). GeneGini: Assessment via the Gini Coefficient of Reference “Housekeeping” Genes and Diverse Human Transporter Expression Profiles. Cell Systems, 6(2), 230-244.E1. doi:10.1016/j.cels.2018.01.003
Rational cell culture optimization enhances experimental reproducibility in cancer cells
Muelas, M. W., Ortega, F., Breitling, R., Bendtsen, C., & Westerhoff, H. V. (2018). Rational cell culture optimization enhances experimental reproducibility in cancer cells. SCIENTIFIC REPORTS, 8. doi:10.1038/s41598-018-21050-4
2017
Rational cell culture optimization enhances experimental reproducibility in cancer cells
Muelas, M. W., Ortega, F., Breitling, R., Bendtsen, C., & Westerhoff, H. (2017). Rational cell culture optimization enhances experimental reproducibility in cancer cells. doi:10.1101/167148
Novel ‘housekeeping’ genes and an unusually heterogeneous distribution of transporter expression profiles in human tissues and cell lines, assessed using the Gini coefficient
O’Hagan, S., Muelas, M. W., Day, P., Lundberg, E., & Kell, D. (2017). Novel ‘housekeeping’ genes and an unusually heterogeneous distribution of transporter expression profiles in human tissues and cell lines, assessed using the Gini coefficient. doi:10.1101/155697