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.
We are excited to announce that our X-omics Genomics core UMC Utrecht has been selected as one of the eight global GeoMx Premier Access Sites. Under this agreement, Edwin Cuppen, Ies Nijman and their team will enable a broader user base to try the Cancer Transcriptome Atlas and evaluate the applicability of GeoMX Digital Spatial Profiler in their research.
NanoString Technologies, a leading provider of life science tools for discovery and translational research, announced the establishment of the GeoMx Premier Access Sites, a global service network that will provide access to the GeoMx Cancer Transcriptome Atlas and future GeoMx commercial assays. The company also announced the availability of the new GeoMx Whole Transcriptome Atlas through the Technology Access Program for the GeoMx Digital Spatial Profiler (DSP). Together these initiatives provide expanded access to next generation sequencing readout on GeoMx DSP.
As a result of the current coronavirus measures, the maximum number of participants that could join the festival in person is limited.
Therefore, X-omics has decided to organize this year’s festival as an online event on the same date: September 28th 2020.
If you would like to participate in this online edition of the X-omics festival then please register yourself again, so you will receive the new details including a link to participate. Registration is open via the button below.
The program has slightly changed. Here you can find the adapted version. Unfortunately, we no longer offer the possibility to display scientific posters.
We hope to see you all during the online edition of our X-omics festival on September 28th 2020.
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!
Van der Made, Cl. (2020). Presence of Genetic Variants Among Young Men With COVID-19. JAMA.
Beumer, J. et al. (2020). High-Resolution mRNA and Secretome Atlas of Human Enteroendocrine Cells. Cell.
Pleguezuelos-Manzano, C. et al. (2020). Mutational signature in colorectal cancer caused by genotoxic pks + E. coli. Nature.
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.
|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.|
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.
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.
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.