Genomics
Proteomics
Metabolomics
Data analysis, integration & stewardship
Lifelines COVID-19 cohort; investigating COVID-19 infection and its health and societal impacts in a Dutch population-based cohort
Mc Intyre, K. et al. (2021). BMJ Open.
Associations between the CADM2 gene, substance use, risky sexual behavior, and self-control: A phenome-wide association study
Arends RM, Pasman JA, Verweij KJH, Derks EM, Gordon SD, Hickie I, Thomas NS, Aliev F, Zietsch BP, van der Zee MD, Mitchell BL, Martin NG, Dick DM, Gillespie NA, de Geus EJC, Boomsma DI, Schellekens AFA, Vink JM.Addict Biol. 2021 Feb 18:e13015. doi: 10.1111/adb.13015. Online ahead of print.
Special Issue on Software Tools and Resources: Acknowledging the Toolmakers of Science.
Weintraub, ST. et al. (2019). J Proteome Res. 18, 575.
PaDuA: A Python Library for High-Throughput (Phospho)proteomics Data Analysis.
Ressa, A. et al. (2019). J Proteome Res. 18, 576-584.
Long-read trio sequencing of individuals with unsolved intellectual disability
Pauper, M. et al. (2021). Eur J Hum Genet. 637 – 648.
Presence of Genetic Variants Among Young Men With COVID-19.
Van der Made, Cl. (2020). JAMA.
Mutational signature in colorectal cancer caused by genotoxic pks + E. coli.
Pleguezuelos-Manzano, C. et al. (2020). Nature.
SARS-CoV-2 productively infects human gut enterocytes.
Lamers, MM. et al. (2020). Science.
Effect of metabolic genetic variants on long-term disease comorbidity in patients with type 2 diabetes
Abedian S et al. 2021. Sci Rep 11(1):2794.
Reproducibility of Targeted Lipidome Analyses (Lipidyzer) in Plasma and Erythrocytes over a 6-Week Period
Loef, M. et al. (2020). Metabolites.
Inhibition of ∆24-dehydrocholesterol reductase activates pro-resolving lipid mediator biosynthesis and inflammation resolution.
Körner, A. et al. (2019). Proc Natl Acad Sci U S A. 116, 20623 – 20634.
Cholesterol Metabolism Is a Druggable Axis that Independently Regulates Tau and Amyloid-β in iPSC-Derived Alzheimer’s Disease Neurons.
van der Kant, R. et al. (2019). Cell Stem Cell. 24, 363-275.
Fast LC-ESI-MS/MS analysis and influence of sampling conditions for gut metabolites in plasma and serum.
van der Laan, T. et al. (2019). Sci Rep. 9, 12370.
Adeno-associated virus capsid assembly is divergent and stochastic
Wörner, TP. et al. (2021). Nat Commun. 1642.
Clonotypic Features of Rearranged Immunoglobulin Genes Yield Personalized Biomarkers for Minimal Residual Disease Monitoring in Multiple Myeloma
Langerhorst, P. et al. (2021). Clin Chem.
Profiling the proteoforms of urinary prostate-specific antigen by capillary electrophoresis - mass spectrometry
Moran AB, Domínguez-Vega E, Nouta J, Pongracz T, de Reijke TM, Wuhrer M, Lageveen-Kammeijer GSM.J Proteomics. 2021 Feb 19;238:104148. doi: 10.1016/j.jprot.2021.104148. Online ahead of print.
Combined kinesin-1 and kinesin-3 activity drives axonal trafficking of TrkB receptors in Rab6 carriers
Zahavi EE et al. (2021). Dev Cell. S1534-5807(21)00068-X. Online ahead of print.
High-Resolution mRNA and Secretome Atlas of Human Enteroendocrine Cells.
Beumer, J. et al. (2020). Cell.
Metabolic changes related to the IDH1 mutation in gliomas preserve TCA-cycle activity: An investigation at the protein level.
Dekker, LJM. et al. (2020). FASEB J. 34, 3646 – 3657.
SARS-CoV-2 productively infects human gut enterocytes.
Lamers, MM. et al. (2020). Science.
Integrating Serum Protein Electrophoresis with Mass Spectrometry, A New Workflow for M-Protein Detection and Quantification.
Zajec, M. et al. (2020). J Proteome Res.
Highly sensitive CE-ESI-MS analysis of N-glycans from complex biological samples.
Lageveen-Kammeijer, GSM. et al. (2019). Nat Commun. 10, 2137.
Automated workflow composition in mass spectrometry-based proteomics.
Palmblad, M. et al. (2019). Bioinformatics. 35, 656 – 664.
Special Issue on Software Tools and Resources: Acknowledging the Toolmakers of Science.
Weintraub, ST. et al. (2019). J Proteome Res. 18, 575.
First Community-Wide, Comparative Cross-Linking Mass Spectrometry Study.
Lacobucci, C. et al. (2019). Anal Chem. 91, 6953-6961.
Recommendations for performing, interpreting and reporting hydrogen deuterium exchange mass spectrometry (HDX-MS) experiments.
Masson, GR. et al. (2019). Nat Methods. 16, 595-602.
PaDuA: A Python Library for High-Throughput (Phospho)proteomics Data Analysis.
Ressa, A. et al. (2019). J Proteome Res. 18, 576-584.
Expanding the mass range for UVPD-based native top-down mass spectrometry.
Greisch, JF. et al. (2019). Chem Sci. 10, 7163-7171.
Targeting proline in (phospho)proteomics.
van der Laarse, SAM. et al. (2019). FEBS J.
This research was (partially) funded by NWO, project 184.034.019