• Training & Outreach

Training & Outreach

The Netherlands X-omics Initiative will have a strong focus on training and outreach. To support all researchers interested in X-omics, we will set up several training schools to educate about omics. These trainings and other suggested events will show in the event calendar. Our event calendar will have a strong focus on X-omics events in Europe. Supported by events related to one of the pillars in the Netherlands. The X-omics community will make it possible to communicate with other users of the X-omics infrastructure.

Training schools

We will develop a portfolio of user trainings, in particular to educate new omics users in experimental design, sampling and data integration and interpretation. At the same time we will develop and provide trainings for omics practitioners including young talent and technicians at the different sites on understanding better the other omics techniques, on the implementation of (quality) protocols and FAIR data standards and on biostatistics, data integration, and modelling.

X-omics events

The X-omics consortium will organise different type of meetings in the coming 5 years. All meetings will be listed here. At least once a year a symposium will be organised to present the latest developments in the area of X-omics. You can register here:

Register for an event

X-omics festivals

  • September 28th 2020: X-omics festival (RESCHEDULED)
  • April 16th 2019: X-omics festival

X-omics Workshops

  • September 2020: Strategies to overcome your challenges in X-omics data integration. (To be rescheduled)

X-omics meetings (consortium members only)

  • September 29th 2020: X-omics General Assembly meeting (RESCHEDULED)
  • November 12th 2019: X-omics General Assembly meeting
  • April 15th 2019: X-omics General Assembly meeting
  • September 14th 2018: X-omics consortium kick off meeting

Event calender

Will be added soon

X-omics community

The X-omics infrastructure will be accessible to all researchers. To allow communication between the users of the infrastructure a X-omics community will be established.

This community will interact via:
● Meetings
● Newsletters
Social media

If you would like to join the X-omics community, feel free to follow us on LinkedIn or send an e-mail to This email address is being protected from spambots. You need JavaScript enabled to view it. and we will at you to our mailing list.


The publications of the X-omics consortium will be listed here!

  • < 2018

    Van Damme, T. et al. (2017). Mutations in ATP6V1E1 or ATP6V1A …. Am. J. Hum. Genet. 100, 216–227.
    van Gool, A. J. et al. (2017). Bridging the translational innovation gap …. Nat. Rev. Drug Discov.  
    Snijder, J. et al. (2017). Structures of the cyanobacterial circadian oscillator …. Science 355, 1181–1184.

    Blokzijl, F. et al. (2016). Tissue-specific mutation accumulation in human …. Nature 538, 260–264.
    Jansen, E. J. R. et al. (2016). ATP6AP1 deficiency causes an immunodeficiency …. Nat. Commun. 7, 11600.
    Liepe, J. et al. (2016). A large fraction of HLA class I ligands are …. Science 354, 354–358.
    Tarailo-Graovac, M. et al. (2016). Exome Sequencing and the … .N. Engl. J. Med. 374, 2246–2255.
    van Karnebeek, C. D. M. et al. (2016). NANS-mediated synthesis of sialic acid …. Nat. Genet. 48, 777–784.
    Heijs, B. et al. (2016). Multimodal mass spectrometry imaging of N-glycans …. Anal Chem. 88, 7745 – 7753.
    Holst, S. et al. (2016). Linkage-specific in-situ sialic acid derivatization …. Anal Chem. 88, 5904 – 5913.

    Huch, M. et al. (2015). Long-term culture of genome-stable bipotent stem cells…. Cell 160, 299–312.
    Liu, F., Rijkers, et. al. (2015). Proteome-wide profiling of protein a…. Nat. Methods 12, 1179–84.
    Heijs, B. et al. (2015). Comprehensive characterization of the mouse brain …. Anal Chem. 87, 1867 – 1875.

    Dane, A. D. et al. (2014). Integrating metabolomics profiling …. Anal. Chem. 86, 4110–4.
    Hussein, S. M. I. et al. (2014). Genome-wide characterization of…. Nature 516, 198–206.
    Tegtmeyer, L. C. et al. (2014). Multiple Phenotypes in … N. Engl. J. Med. 370, 533–542.
    van Heesch, S. et al. (2014). Genomic and functional overlap between somatic and …. Cell Rep. 9, 2001–10.

    Altelaar, A. F. M., et. al. (2013). Next-generation proteomics: …. Nat. Rev. Genet. 14, 35–48.
    Gonzalez-Covarrubias, V. et al. (2013). Lipidomics of familial longevity. Aging Cell 12, 426–34.
    Kettleborough, R. N. W. et al. (2013). A systematic genome-wide analysis of…. Nature 496, 494–7.
    Low, T. Y. et al. (2013). Quantitative and qualitative proteome characteristics. Cell Rep. 5, 1469–78.
    Peironcely, J. E. et al. (2013). Automated pipeline for de novo …. Anal. Chem. 85, 3576–83.
    Raterink, R.-J et. al. (2013). T. Three-phase electroextraction: …. Anal. Chem. 85, 7762–8.

    van der Kloet, F. M. et al. (2012). Discovery of early-stage biomarkers …Metabolomics 8, 109–119.

  • 2018

    Clerc, F. et al. (2018). Plasma N-Glycan Signatures Are Associated With Features of Inflammatory Bowel Diseases. Gastroenterology. 155, 829 – 843.
    Vreeker, GCM. et al. (2018). Automated Plasma Glycomics with Linkage-Specific Sialic Acid Esterification and Ultrahigh Resolution MS. Anal Chem. 90, 11955 – 11961.

  • 2019

    Foudraine, DE. et al. (2019). Accurate Detection of the Four Most Prevalent Carbapenemases in E. coli and K. pneumoniae by High-Resolution Mass Spectrometry. Front Microbiol.
    Kautbally, S. et al. (2019). Platelet Acetyl-CoA Carboxylase Phosphorylation: A Risk Stratification Marker That Reveals Platelet-Lipid Interplay….  JACC Basic Transl. Sci. 4, 596 – 610.
    Körner, A. et al. (2019). Inhibition of ∆24-dehydrocholesterol reductase activates pro-resolving lipid mediator biosynthesis….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.
    Mons, E. et al. (2019).The Alkyne Moiety as a Latent Electrophile in Irreversible Covalent Small Molecule Inhibitors of Cathepsin. J Am Chem Soc. 141, 3507 – 3514.
    Palmblad, M. et al. (2019). Automated workflow composition in mass spectrometry-based proteomics. Bioinformatics. 35, 656 – 664.
    Palmblad, M. (2019). Visual and Semantic Enrichment of Analytical Chemistry Literature Searches by Combining Text Mining and Computational Chemistry. Anal Chem. 91, 4312 – 4316.
    van der Kant, R. et al. (2019). Cholesterol Metabolism Is a Druggable Axis that Independently Regulates Tau and Amyloid-β in…. Cell Stam Cell. 24, 363-275.
    van der Lee, DI. et al. (2019). Mutated nucleophosmin 1 as immunotherapy target in acute myeloid leukemia. J Clin Invest. 129, 774 – 785.
    Weintraub, ST. et al. (2019). Special Issue on Software Tools and Resources: Acknowledging the Toolmakers of Science. J Proteome Res. 18, 575.

  • 2020

    Dekker, LJM. et al. (2020). Metabolic changes related to the IDH1 mutation in gliomas preserve TCA-cycle activity: An investigation at the protein level. FASEB J. 34, 3646 – 3657.
    Kissel, T. et al. (2020). Antibodies and B cells recognising citrullinated proteins display a broad cross-reactivity towards other post-translational modifications. Ann Rheum Dis.
    Nascimento-Carvalho, GC. et al. (2020). Cerebrospinal fluid immunoglobulins are increased in neonates exposed to Zika virus during foetal life. J Infect. 80, 419 – 425.
    van Huizen, NA. et al. (2020). Identification of a Collagen Marker in Urine Improves the Detection of Colorectal Liver Metastases. J Proteome Res. 19, 253-260.
    Zajec, M. et al. (2020). Integrating Serum Protein Electrophoresis with Mass Spectrometry, A New Workflow for M-Protein Detection and Quantification. J Proteome Res.

This research was (partially) funded by NWO, project 184.034.019