The Netherlands X-omics Initiative will have a strong focus on training and outreach and in this respect, will organize different types of events & activities in the coming 5 years. You can register for these events and activities at this website.
In June, X-omics organized its first online workshop series. Different aspects of challenges and solutions related to multi-omics data integration were addressed in four workshops:
#1 Data standards and multi-omics data integration
#2 Linked data in practice: An RDF based-approach with SPARQLing-genomics
#3 Showcases of multi-omics data integration
#4 Pitch your own multi-omics project
The workshop series was a success and we want to thank all those who participated, the speakers, the invited experts and the workshop organizing committee.
An overview of all workshop highlights, key take-home messages, presentations and a link to the workshop recordings has been compiled and can be found in the training schools section.
We hope to see you again during future X-omics events.
Researchers from our partner institution Utrecht University have worked together with researchers from the Hubrecht Institute and in collaboration with other research teams and generated an in-depth description of the hormone-producing cells in the human gut.
These are very rare and unique cells to different species of animals which makes them difficult to study. An extensive toolbox has been developed by the researchers to study human hormone-producing cells in tiny versions of the gut grown in the lab (organoids). These tools allowed them to uncover secrets of the human gut.
The study findings and results are presented in the scientific journal Cell.
We will keep an archive available of the webinars that we have given. In this archive you will find highlights of every webinar, including the key take-home messages, presentations and recordings.
The publications of the X-omics consortium will be listed here!
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|Lamers, MM. et al. (2020). SARS-CoV-2 productively infects human gut enterocytes. Science.
|Zajec, M. et al. (2020). Integrating Serum Protein Electrophoresis with Mass Spectrometry, A New Workflow for M-Protein Detection and Quantification. J Proteome Res.
|Körner, A. et al. (2019). Inhibition of ∆24-dehydrocholesterol reductase activates pro-resolving lipid mediator biosynthesis and inflammation resolution. Proc Natl Acad Sci U S A. 116, 20623 – 20634. |
|Lageveen-Kammeijer, GSM. et al. (2019). Highly sensitive CE-ESI-MS analysis of N-glycans from complex biological samples. Nat Commun. 10, 2137.|
|Palmblad, M. et al. (2019). Automated workflow composition in mass spectrometry-based proteomics. Bioinformatics. 35, 656 – 664.|
|van der Kant, R. et al. (2019). Cholesterol Metabolism Is a Druggable Axis that Independently Regulates Tau and Amyloid-β in iPSC-Derived Alzheimer’s Disease Neurons. Cell Stem Cell. 24, 363-275. |
|Weintraub, ST. et al. (2019). Special Issue on Software Tools and Resources: Acknowledging the Toolmakers of Science. J Proteome Res. 18, 575.|
|Lacobucci, C. et al. (2019). First Community-Wide, Comparative Cross-Linking Mass Spectrometry Study. Anal Chem. 91, 6953-6961.|
Masson, GR. et al. (2019). Recommendations for performing, interpreting and reporting hydrogen deuterium exchange mass spectrometry (HDX-MS) experiments. Nat Methods. 16, 595-602.|
|Ressa, A. et al. (2019). PaDuA: A Python Library for High-Throughput (Phospho)proteomics Data Analysis. J Proteome Res. 18, 576-584. |
|Greisch, JF. et al. (2019). Expanding the mass range for UVPD-based native top-down mass spectrometry. Chem Sci. 10, 7163-7171. |
|van der Laarse, SAM. et al. (2019). Targeting proline in (phospho)proteomics. FEBS J.|
|van der Laan, T. et al. (2019). Fast LC-ESI-MS/MS analysis and influence of sampling conditions for gut metabolites in plasma and serum. Sci Rep. 9, 12370.|
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