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Year Number of Results
2008 1
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2011 2
2012 5
2013 6
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2015 6
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2017 8
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2020 13
2021 14
2022 10
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Page 1
Systematic analyses of lipid mobilization by human lipid transfer proteins.
Titeca K, Chiapparino A, Hennrich ML, Türei D, Moqadam M, Talandashti R, Cuveillier C, van Ek L, Zukowska J, Triana S, Echelard F, Nielsen IØ, Foged MM, Gehin C, Olechnovic K, Grudinin S, Saez-Rodriguez J, Alexandrov T, Maeda K, Reuter N, Gavin AC. Titeca K, et al. Among authors: alexandrov t. Nature. 2026 Mar;651(8105):511-520. doi: 10.1038/s41586-025-10040-y. Epub 2026 Jan 7. Nature. 2026. PMID: 41501472 Free PMC article.
Spatial metabolomics and multiomics integration for breakthroughs in precision medicine for kidney disease.
Sharma K, Hansen J, Susztak K, Eberlin L, Anderton CR, Alexandrov T, Iyengar R. Sharma K, et al. Among authors: alexandrov t. Nat Rev Nephrol. 2026 Feb;22(2):152-164. doi: 10.1038/s41581-025-01007-3. Epub 2025 Oct 9. Nat Rev Nephrol. 2026. PMID: 41068470 Free PMC article. Review.
With the advent of spatial omics, comprehensive and thorough molecular analysis of biological samples is now possible. In particular, spatial metabolomics analysis of kidney biopsy samples could have an important role in facilitating precision medicine for kidney diseases. …
With the advent of spatial omics, comprehensive and thorough molecular analysis of biological samples is now possible. In particular, …
mzPeak: Designing a Scalable, Interoperable, and Future-Ready Mass Spectrometry Data Format.
Van Den Bossche T, Alexandrov T, Bilbao A, Bittremieux W, Brigante FI, Chambers MC, Charkow J, Deutsch E, Dowsey AW, El Abiead Y, Gabriels R, Hecht H, Heuckeroth S, Klein JA, Knierman M, Martens L, Moritz RL, McCall LI, Neumann S, Perez-Riverol Y, Röst HL, Price EJ, Shofstahl J, Tabb DL, Uszkoreit J, Vizcaíno JA, Wang M, Willems S, Winkelhardt D, Kohlbacher O, Wein SP. Van Den Bossche T, et al. Among authors: alexandrov t. J Proteome Res. 2025 Nov 7;24(11):5329-5335. doi: 10.1021/acs.jproteome.5c00435. Epub 2025 Oct 2. J Proteome Res. 2025. PMID: 41037468 Free PMC article. Review.
Enrichment analysis for spatial and single-cell metabolomics accounting for molecular ambiguity.
Wadie B, Molenaar MR, Vieira LM, Alexandrov T. Wadie B, et al. Among authors: alexandrov t. Bioinform Adv. 2025 May 21;5(1):vbaf100. doi: 10.1093/bioadv/vbaf100. eCollection 2025. Bioinform Adv. 2025. PMID: 40502442 Free PMC article.
SUMMARY: Imaging mass spectrometry (imaging MS) has advanced spatial and single-cell metabolomics, but the reliance on MS1 data complicates the accurate identification of molecular structures, not being able to resolve isomeric and isobar molecules. This prevents applicati …
SUMMARY: Imaging mass spectrometry (imaging MS) has advanced spatial and single-cell metabolomics, but the reliance on MS1 data complicates …
Structural annotation of full-scan MS data: A unified solution for LC-MS and MS imaging analyses.
Xing S, Charron-Lamoureux V, Ekelöf M, Abiead YE, Yu H, Fiehn O, Alexandrov T, Dorrestein PC. Xing S, et al. Among authors: alexandrov t. bioRxiv [Preprint]. 2025 Mar 7:2024.10.14.618269. doi: 10.1101/2024.10.14.618269. bioRxiv. 2025. PMID: 39464143 Free PMC article. Preprint.
This strategy effectively addresses a critical need in metabolomics data reuse by enabling level 2/3 structural annotation of MS1-only data, facilitating new biological insights from existing repository data that was previously only annotated at the molecular formula level …
This strategy effectively addresses a critical need in metabolomics data reuse by enabling level 2/3 structural annotation of MS1-only data, …
How to build the virtual cell with artificial intelligence: Priorities and opportunities.
Bunne C, Roohani Y, Rosen Y, Gupta A, Zhang X, Roed M, Alexandrov T, AlQuraishi M, Brennan P, Burkhardt DB, Califano A, Cool J, Dernburg AF, Ewing K, Fox EB, Haury M, Herr AE, Horvitz E, Hsu PD, Jain V, Johnson GR, Kalil T, Kelley DR, Kelley SO, Kreshuk A, Mitchison T, Otte S, Shendure J, Sofroniew NJ, Theis F, Theodoris CV, Upadhyayula S, Valer M, Wang B, Xing E, Yeung-Levy S, Zitnik M, Karaletsos T, Regev A, Lundberg E, Leskovec J, Quake SR. Bunne C, et al. Among authors: alexandrov t. Cell. 2024 Dec 12;187(25):7045-7063. doi: 10.1016/j.cell.2024.11.015. Cell. 2024. PMID: 39672099 Free PMC article.
How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities.
Bunne C, Roohani Y, Rosen Y, Gupta A, Zhang X, Roed M, Alexandrov T, AlQuraishi M, Brennan P, Burkhardt DB, Califano A, Cool J, Dernburg AF, Ewing K, Fox EB, Haury M, Herr AE, Horvitz E, Hsu PD, Jain V, Johnson GR, Kalil T, Kelley DR, Kelley SO, Kreshuk A, Mitchison T, Otte S, Shendure J, Sofroniew NJ, Theis F, Theodoris CV, Upadhyayula S, Valer M, Wang B, Xing E, Yeung-Levy S, Zitnik M, Karaletsos T, Regev A, Lundberg E, Leskovec J, Quake SR. Bunne C, et al. Among authors: alexandrov t. ArXiv [Preprint]. 2024 Oct 14:arXiv:2409.11654v2. ArXiv. 2024. Update in: Cell. 2024 Dec 12;187(25):7045-7063. doi: 10.1016/j.cell.2024.11.015. PMID: 39398201 Free PMC article. Updated. Preprint.
The cell is arguably the most fundamental unit of life and is central to understanding biology. Accurate modeling of cells is important for this understanding as well as for determining the root causes of disease. ...
The cell is arguably the most fundamental unit of life and is central to understanding biology. Accurate modeling of cells is importa …
EMBL-MCF 2.0: an LC-MS/MS method and corresponding library for high-confidence targeted and untargeted metabolomics using low-adsorption HILIC chromatography.
Dekina S, Alexandrov T, Drotleff B. Dekina S, et al. Among authors: alexandrov t. Metabolomics. 2024 Oct 13;20(6):114. doi: 10.1007/s11306-024-02176-1. Metabolomics. 2024. PMID: 39397202 Free PMC article.
CONCLUSIONS: Our work has resulted in the development of the EMBL-MCF 2.0 library, a powerful resource for sensitive metabolomics analyses and high-confidence MetID. ...query=exists(tags.text:%27EMBL-MCF_2.0_HRMS_Library%27) , EMBL-MCF 2.0 HRMS https://www.embl …
CONCLUSIONS: Our work has resulted in the development of the EMBL-MCF 2.0 library, a powerful resource for sensitive metabolomics ana …
100 results