Bende, R. J., Slot, L. M., Kwakkenbos, M. J., Wormhoudt, T. A. M., Jongejan, A., Verstappen, G. M., van Kampen, A. C. M., Guikema, J. E. J., Kroese, F. G. M., & van Noesel, C. J. M. (2023). Lymphoma-associated mutations in autoreactive memory B cells of patients with Sjögren's syndrome. Journal of Pathology, 259(3), 264-275. https://doi.org/10.1002/path.6039[details]
García-Valiente, R., Merino Tejero, E., Stratigopoulou, M., Balashova, D., Jongejan, A., Lashgari, D., Pélissier, A., Caniels, T. G., Claireaux, M. A. F., Musters, A., van Gils, M. J., Rodríguez Martínez, M., de Vries, N., Meyer-Hermann, M., Guikema, J. E. J., Hoefsloot, H., & van Kampen, A. H. C. (2023). Understanding repertoire sequencing data through a multiscale computational model of the germinal center. Npj Systems Biology and Applications, 9, Article 8. https://doi.org/10.1038/s41540-023-00271-y[details]
Lashgari, D., Merino Tejero, E., Meyer-Hermann, M., Claireaux, M. A. F., van Gils, M. J., Hoefsloot, H. C. J., & Van Kampen, A. H. C. (2022). From affinity selection to kinetic selection in Germinal Centre modelling. PLoS Computational Biology, 18(6), Article e1010168. https://doi.org/10.1371/journal.pcbi.1010168[details]
Merino Tejero, E., Lashgari, D., García-Valiente, R., Gao, X., Crauste, F., Robert, P. A., Meyer-Hermann, M., Rodríguez Martínez, M., van Ham, S. M., Guikema, J. E. J., Hoefsloot, H., & van Kampen, A. H. C. (2021). Multiscale Modeling of Germinal Center Recapitulates the Temporal Transition From Memory B Cells to Plasma Cells Differentiation as Regulated by Antigen Affinity-Based Tfh Cell Help. Frontiers in Immunology, 11, Article 620716. https://doi.org/10.3389/fimmu.2020.620716[details]
Merino Tejero, E., Lashgari, D., García-Valiente, R., He, J., Robert, P. A., Meyer-Hermann, M., Guikema, J. E. J., Hoefsloot, H., & van Kampen, A. H. C. (2021). Coupled Antigen and BLIMP1 Asymmetric Division With a Large Segregation Between Daughter Cells Recapitulates the Temporal Transition From Memory B Cells to Plasma Cells and a DZ-to-LZ Ratio in the Germinal Center. Frontiers in Immunology, 12, Article 716240. https://doi.org/10.3389/fimmu.2021.716240[details]
Borgoni, S., Sofyali, E., Soleimani, M., Wilhelm, H., Müller-Decker, K., Will, R., Noronha, A., Beumers, L., Verschure, P. J., Yarden, Y., Magnani, L., van Kampen, A. H. C., Moerland, P. D., & Wiemann, S. (2020). Time-Resolved Profiling Reveals ATF3 as a Novel Mediator of Endocrine Resistance in Breast Cancer. Cancers, 12(10), Article 2918. https://doi.org/10.3390/cancers12102918[details]
Hasdemir, D., van den Berg, R. A., van Kampen, A., & Smilde, A. K. (2020). Modeling adaptive response profiles in a vaccine clinical trial. BMC Medical Research Methodology, 20, Article 191. https://doi.org/10.1186/s12874-020-01070-3[details]
Richmond, P., van der Kloet, F. M., Vaz, F., Lin, D., Uzozie, A., Graham, E., Kobor, M., Mostafavi, S., Moerland, P., van Kampen, A., Wasserman, W., Engelen, M., Kemp, S., & van Karnebeek, C. (2020). Multi-Omic Approach to Identify Phenotypic Modifiers Underlying Cerebral Demyelination in X-Linked Adrenoleukodystrophy. Frontiers in cell and developmental biology, 8, Article 520. https://doi.org/10.3389/fcell.2020.00520
Soleimani Dodaran, M., Borgoni, S., Sofyali, E., Verschure, P. J., Wiemann, S., Moerland, P. D., & van Kampen, A. H. C. (2020). Candidate methylation sites associated with endocrine therapy resistance in ER+/HER2-breast cancer. BMC Cancer, 20, Article 676. https://doi.org/10.1186/s12885-020-07100-z[details]
Soleimani Dodaran, M., Sofyall, E., Verschure, P. J., Van Kampen, A. H. C., Borgoni, S., Wiemann, S. & Moerland, P. (2020). Additional file 8 of Candidate methylation sites associated with endocrine therapy resistance in ER+/HER2- breast cancer. Figshare. https://doi.org/10.6084/m9.figshare.12673833.v1
Soleimani Dodaran, M., Sofyall, E., Verschure, P. J., Van Kampen, A. H. C., Borgoni, S., Wiemann, S. & Moerland, P. (2020). Additional file 7 of Candidate methylation sites associated with endocrine therapy resistance in ER+/HER2- breast cancer. Figshare. https://doi.org/10.6084/m9.figshare.12673830.v1
Soleimani Dodaran, M., Sofyall, E., Verschure, P. J., Van Kampen, A. H. C., Borgoni, S., Wiemann, S. & Moerland, P. (2020). Additional file 4 of Candidate methylation sites associated with endocrine therapy resistance in ER+/HER2- breast cancer. Figshare. https://doi.org/10.6084/m9.figshare.12673821.v1
Soleimani Dodaran, M., Sofyall, E., Verschure, P. J., Van Kampen, A. H. C., Borgoni, S., Wiemann, S. & Moerland, P. D. (2020). Additional file 3 of Candidate methylation sites associated with endocrine therapy resistance in ER+/HER2- breast cancer. Figshare. https://doi.org/10.6084/m9.figshare.12673818.v1
Soleimani Dodaran, M., Sofyall, E., Verschure, P. J., Van Kampen, A. H. C., Borgoni, S., Wiemann, S. & Moerland, P. D. (2020). Additional file 14 of Candidate methylation sites associated with endocrine therapy resistance in ER+/HER2- breast cancer. Figshare. https://doi.org/10.6084/m9.figshare.12673806.v1
Soleimani Dodaran, M., Sofyall, E., Verschure, P. J., Van Kampen, A. H. C., Borgoni, S., Wiemann, S. & Moerland, P. D. (2020). Additional file 2 of Candidate methylation sites associated with endocrine therapy resistance in ER+/HER2- breast cancer. Figshare. https://doi.org/10.6084/m9.figshare.12673815.v1
Soleimani Dodaran, M., Sofyall, E., Verschure, P. J., Van Kampen, A. H. C., Borgoni, S., Wiemann, S. & Moerland, P. D. (2020). Additional file 10 of Candidate methylation sites associated with endocrine therapy resistance in ER+/HER2- breast cancer. Figshare. https://doi.org/10.6084/m9.figshare.12673794.v1
Soleimani Dodaran, M., Sofyall, E., Verschure, P. J., Van Kampen, A. H. C., Borgoni, S., Wiemann, S. & Moerland, P. D. (2020). Additional file 13 of Candidate methylation sites associated with endocrine therapy resistance in ER+/HER2- breast cancer. Figshare. https://doi.org/10.6084/m9.figshare.12673803.v1
Soleimani Dodaran, M., Sofyall, E., Verschure, P. J., Van Kampen, A. H. C., Borgoni, S., Wiemann, S. & Moerland, P. D. (2020). Additional file 1 of Candidate methylation sites associated with endocrine therapy resistance in ER+/HER2- breast cancer. Figshare. https://doi.org/10.6084/m9.figshare.12673812.v1
Soleimani Dodaran, M., Sofyall, E., Verschure, P. J., Van Kampen, A. H. C., Borgoni, S., Wiemann, S. & Moerland, P. D. (2020). Additional file 3 of Candidate methylation sites associated with endocrine therapy resistance in ER+/HER2- breast cancer. Figshare. https://doi.org/10.6084/m9.figshare.12673818.v1
Soleimani Dodaran, M., Sofyall, E., Verschure, P. J., Van Kampen, A. H. C., Borgoni, S., Wiemann, S. & Moerland, P. D. (2020). Additional file 14 of Candidate methylation sites associated with endocrine therapy resistance in ER+/HER2- breast cancer. Figshare. https://doi.org/10.6084/m9.figshare.12673806.v1
Soleimani Dodaran, M., Sofyall, E., Verschure, P. J., Van Kampen, A. H. C., Borgoni, S., Wiemann, S. & Moerland, P. D. (2020). Additional file 2 of Candidate methylation sites associated with endocrine therapy resistance in ER+/HER2- breast cancer. Figshare. https://doi.org/10.6084/m9.figshare.12673815.v1
Soleimani Dodaran, M., Sofyall, E., Verschure, P. J., Van Kampen, A. H. C., Borgoni, S., Wiemann, S. & Moerland, P. D. (2020). Additional file 10 of Candidate methylation sites associated with endocrine therapy resistance in ER+/HER2- breast cancer. Figshare. https://doi.org/10.6084/m9.figshare.12673794.v1
Soleimani Dodaran, M., Sofyall, E., Verschure, P. J., Van Kampen, A. H. C., Borgoni, S., Wiemann, S. & Moerland, P. (2020). Additional file 8 of Candidate methylation sites associated with endocrine therapy resistance in ER+/HER2- breast cancer. Figshare. https://doi.org/10.6084/m9.figshare.12673833.v1
Soleimani Dodaran, M., Sofyall, E., Verschure, P. J., Van Kampen, A. H. C., Borgoni, S., Wiemann, S. & Moerland, P. D. (2020). Additional file 13 of Candidate methylation sites associated with endocrine therapy resistance in ER+/HER2- breast cancer. Figshare. https://doi.org/10.6084/m9.figshare.12673803.v1
Soleimani Dodaran, M., Sofyall, E., Verschure, P. J., Van Kampen, A. H. C., Borgoni, S., Wiemann, S. & Moerland, P. D. (2020). Additional file 1 of Candidate methylation sites associated with endocrine therapy resistance in ER+/HER2- breast cancer. Figshare. https://doi.org/10.6084/m9.figshare.12673812.v1
Soleimani Dodaran, M., Sofyall, E., Verschure, P. J., Van Kampen, A. H. C., Borgoni, S., Wiemann, S. & Moerland, P. (2020). Additional file 4 of Candidate methylation sites associated with endocrine therapy resistance in ER+/HER2- breast cancer. Figshare. https://doi.org/10.6084/m9.figshare.12673821.v1
Soleimani Dodaran, M., Sofyall, E., Verschure, P. J., Van Kampen, A. H. C., Borgoni, S., Wiemann, S. & Moerland, P. (2020). Additional file 7 of Candidate methylation sites associated with endocrine therapy resistance in ER+/HER2- breast cancer. Figshare. https://doi.org/10.6084/m9.figshare.12673830.v1
Soleimani Dodaran, M., Borgoni, S., Sofyall, E., Verschure, P. J., Wiemann, S., Moerland, P. D. & Van Kampen, A. H. C. (2020). Candidate methylation sites associated with endocrine therapy resistance in ER+/HER2- breast cancer. Springer Nature. https://doi.org/10.6084/m9.figshare.c.5067306.v1
2018
Herzog, K., Pras-Raves, M. L., Ferdinandusse, S., Vervaart, M. A. T., Luyf, A. C. M., van Kampen, A. H. C., Wanders, R. J. A., Waterham, H. R., & Vaz, F. M. (2018). Functional characterisation of peroxisomal β-oxidation disorders in fibroblasts using lipidomics. Journal of inherited metabolic disease, 41(3), 479-487. Advance online publication. https://doi.org/10.1007/s10545-017-0076-9[details]
Herzog, K., Pras-Raves, M. L., Ferdinandusse, S., Vervaart, M. A. T., Luyf, A. C. M., van Kampen, A. H. C., Wanders, R. J. A., Waterham, H. R., & Vaz, F. M. (2018). Plasma lipidomics as a diagnostic tool for peroxisomal disorders. Journal of inherited metabolic disease, 41(3), 489-498. Advance online publication. https://doi.org/10.1007/s10545-017-0114-7[details]
Smith, R. L., Tan, J. M. E., Jonker, M. J., Jongejan, A., Buissink, T., Veldhuijzen, S., van Kampen, A. H. C., Brul, S., & van der Spek, H. (2017). Beyond the polymerase-γ theory: Production of ROS as a mode of NRTI-induced mitochondrial toxicity. PLoS ONE, 12(11), Article e0187424. https://doi.org/10.1371/journal.pone.0187424[details]
Harwig, A., Jongejan, A., van Kampen, A. H. C., Berkhout, B., & Das, A. T. (2016). Tat-dependent production of an HIV-1 TAR-encoded miRNA-like small RNA. Nucleic Acids Research, 44(9), 4340-4353. https://doi.org/10.1093/nar/gkw167[details]
Herzog, K., Pras-Raves, M. L., Vervaart, M. A. T., Luyf, A. C. M., van Kampen, A. H. C., Wanders, R. J. A., Waterham, H. R., & Vaz, F. M. (2016). Lipidomic analysis of fibroblasts from Zellweger spectrum disorder patients identifies disease-specific phospholipid ratios. Journal of Lipid Research, 57(8), 1447-1454. https://doi.org/10.1194/jlr.M067470[details]
Nandal, U. K., van Kampen, A. H. C., & Moerland, P. D. (2016). compendiumdb: an R package for retrieval and storage of functional genomics data. Bioinformatics, 32(18), 2856-2857. https://doi.org/10.1093/bioinformatics/btw335[details]
Potze, L., Franco, S., Grandela, C., Pras-Raves, M. L., Picavet, D. I., van Veen, H. A., van Lenthe, H., Mullauer, F. B., van der Wel, N. N., Luyf, A., Van Kampen, A. H. C., Kemp, S., Everts, V., Kessler, J. H., Vaz, F. M., & Medema, J. P. (2016). Betulinic acid induces a novel cell death pathway that depends on cardiolipin modification. Oncogene, 35(4), 427-437. https://doi.org/10.1038/onc.2015.102[details]
Raemy, E., Montessuit, S., Pierredon, S., van Kampen, A. H., Vaz, F. M., & Martinou, J. C. (2016). Cardiolipin or MTCH2 can serve as tBID receptors during apoptosis. Cell Death & Differentiation, 23(7), 1165-1174. https://doi.org/10.1038/cdd.2015.166[details]
Slot, L. M., Hoogeboom, R., Smit, L. A., Wormhoudt, T. A. M., Biemond, B. J., Oud, M. E. C. M., Schilder-Tol, E. J. M., Mulder, A. B., Jongejan, A., van Kampen, A. H. C., Kluin, P. M., Guikema, J. E. J., Bende, R. J., & van Noesel, C. J. M. (2016). B-Lymphoblastic Lymphomas Evolving from Follicular Lymphomas Co-Express Surrogate Light Chains and Mutated Gamma Heavy Chains. The American Journal of Pathology, 186(12), 3273-3284. Advance online publication. https://doi.org/10.1016/j.ajpath.2016.07.027[details]
Zhao, J., Hakvoort, T. B. M., Willemsen, A. M., Jongejan, A., Sokolovic, M., Bradley, E. J., de Boer, V. C. J., Baas, F., van Kampen, A. H. C., & Lamers, W. H. (2016). Effect of Hyperglycemia on Gene Expression during Early Organogenesis in Mice. PLoS ONE, 11(7), Article e0158035. https://doi.org/10.1371/journal.pone.0158035[details]
te Velde, A. A., Bezema, T., van Kampen, A. H. C., Kraneveld, A. D., 't Hart, B. A., van Middendorp, H., Hack, E. C., van Montfrans, J. M., Belzer, C., Jans-Beken, L., Pieters, R. H., Knipping, K., Huber, M., Boots, A. M. H., Garssen, J., Radstake, T. R., Evers, A. W. M., Prakken, B. J., & Joosten, I. (2016). Embracing Complexity beyond Systems Medicine: A New Approach to Chronic Immune Disorders. Frontiers in Immunology, 7, Article 587. https://doi.org/10.3389/fimmu.2016.00587[details]
van Kampen, A. H. C., & Moerland, P. D. (2016). Taking Bioinformatics to Systems Medicine. In U. Schmitz, & O. Wolkenhauer (Eds.), Systems Medicine (pp. 17-41). (Methods in Molecular Biology; Vol. 1386). Humana Press. https://doi.org/10.1007/978-1-4939-3283-2_2[details]
2015
Harwig, A., Herrera-Carrillo, E., Jongejan, A., van Kampen, A. H. C., & Berkhout, B. (2015). Deep Sequence Analysis of AgoshRNA Processing Reveals 3' A Addition and Trimming. Molecular Therapy. Nucleic Acids, 4, e247. https://doi.org/10.1038/mtna.2015.19[details]
Nandal, U. K., Vlietstra, W. J., Byrman, C., Jeeninga, R. E., Ringrose, J. H., van Kampen, A. H. C., Speijer, D., & Moerland, P. D. (2015). Candidate prioritization for low-abundant differentially expressed proteins in 2D-DIGE datasets. BMC Bioinformatics, 16, Article 25. https://doi.org/10.1186/s12859-015-0455-x[details]
Reshetova, P., Smilde, A. K., Westerhuis, J. A., & van Kampen, A. H. C. (2015). Using Petri nets for experimental design in a multi-organ elimination pathway. Computers in Biology and Medicine, 63, 19-27. https://doi.org/10.1016/j.compbiomed.2015.05.001[details]
Vaz, F. M., Pras-Raves, M., Bootsma, A. H., & van Kampen, A. H. C. (2015). Principles and practice of lipidomics. Journal of inherited metabolic disease, 38(1), 41-52. Advance online publication. https://doi.org/10.1007/s10545-014-9792-6[details]
Willemsen, A. M., Hendrickx, D. M., Hoefsloot, H. C. J., Hendriks, M. M. W. B., Wahl, S. A., Teusink, B., Smilde, A. K., & van Kampen, A. H. C. (2015). MetDFBA: incorporating time-resolved metabolomics measurements into dynamic flux balance analysis. Molecular BioSystems, 11(1), 137-145. Advance online publication. https://doi.org/10.1039/c4mb00510d[details]
Cobos Jiménez, V., Bradley, E. J., Willemsen, A. M., van Kampen, A. H. C., Baas, F., & Kootstra, N. A. (2014). Next-generation sequencing of microRNAs uncovers expression signatures in polarized macrophages. Physiological Genomics, 46(3), 91-103. Advance online publication. https://doi.org/10.1152/physiolgenomics.00140.2013[details]
Doorenspleet, M. E., Klarenbeek, P. L., de Hair, M. J. H., van Schaik, B. D. C., Esveldt, R. E. E., van Kampen, A. H. C., Gerlag, D. M., Musters, A., Baas, F., Tak, P. P., & de Vries, N. (2014). Rheumatoid arthritis synovial tissue harbours dominant B-cell and plasma-cell clones associated with autoreactivity. Annals of the Rheumatic Diseases, 73(4), 756-762. https://doi.org/10.1136/annrheumdis-2012-202861[details]
Houten, S. M., Denis, S., te Brinke, H., Jongejan, A., van Kampen, A. H. C., Bradley, E. J., Baas, F., Hennekam, R. C. M., Millington, D. S., Young, S. P., Frazier, D. M., Gucsavas-Calikoglu, M., & Wanders, R. J. A. (2014). Mitochondrial NADP(H) deficiency due to a mutation in NADK2 causes dienoyl-CoA reductase deficiency with hyperlysinemia. Human Molecular Genetics, 23(18), 5009-5016. https://doi.org/10.1093/hmg/ddu218[details]
Piet, J. R., Geldhoff, M., van Schaik, B. D. C., Brouwer, M. C., Valls Seron, M., Jakobs, M. E., Schipper, K., Pannekoek, Y., Zwinderman, A. H., van der Poll, T., van Kampen, A. H. C., Baas, F., van der Ende, A., & van de Beek, D. (2014). Streptococcus pneumoniae arginine synthesis genes promote growth and virulence in pneumococcal meningitis. The Journal of Infectious Diseases, 209(11), 1781-1791. https://doi.org/10.1093/infdis/jit818[details]
Reshetova, P., Smilde, A. K., van Kampen, A. H. C., & Westerhuis, J. A. (2014). Use of prior knowledge for the analysis of high-throughput transcriptomics and metabolomics data. BMC Systems Biology, 8(suppl 2), S2. https://doi.org/10.1186/1752-0509-8-S2-S2[details]
Stobbe, M. D., Jansen, G. A., Moerland, P. D., & van Kampen, A. H. C. (2014). Knowledge representation in metabolic pathway databases. Briefings in Bioinformatics, 15(3), 455-470. https://doi.org/10.1093/bib/bbs060[details]
2013
Madougou, S., Shahand, S., Santcroos, M., van Schaik, B., Benabdelkader, A., van Kampen, A., & Olabarriaga, S. (2013). Characterizing workflow-based activity on a production e-infrastructure using provenance data. Future Generation Computer Systems, 29(8), 1931-1942. https://doi.org/10.1016/j.future.2013.04.019[details]
Stobbe, M. D., Swertz, M. A., Thiele, I., Rengaw, T., van Kampen, A. H. C., & Moerland, P. D. (2013). Consensus and conflict cards for metabolic pathway databases. BMC Systems Biology, 7, 50. https://doi.org/10.1186/1752-0509-7-50[details]
Caan, M. W. A., Shahand, S., Vos, F. M., van Kampen, A. H. C., & Olabarriaga, S. D. (2012). Evolution of grid-based services for Diffusion Tensor Image analysis. Future Generation Computer Systems, 28(8), 1194-1204. https://doi.org/10.1016/j.future.2012.03.007[details]
Klarenbeek, P. L., de Hair, M. J. H., Doorenspleet, M. E., van Schaik, B. D. C., Esveldt, R. E. E., van de Sande, M. G. H., Cantaert, T., Gerlag, D. M., Baeten, D., van Kampen, A. H. C., Baas, F., Tak, P. P., & de Vries, N. (2012). Inflamed target tissue provides a specific niche for highly expanded T-cell clones in early human autoimmune disease. Annals of the Rheumatic Diseases, 71(6), 1088-1093. Advance online publication. https://doi.org/10.1136/annrheumdis-2011-200612[details]
Madougou, S., Santcroos, M., Benabdelkader, A., van Schaik, B. D., Shahand, S., Korkhov, V., van Kampen, A. H. C., & Olabarriaga, S. D. (2012). Provenance for distributed biomedical workflow execution. Studies in Health Technology and Informatics, 175, 91-100. https://doi.org/10.3233/978-1-61499-054-3-91[details]
Shahand, S., Caan, M. W. A., van Kampen, A. H. C., & Olabarriaga, S. D. (2012). Integrated support for neuroscience research: from study design to publication. In S. Gesing, T. Glatard, J. Krüger, S. Delgado Olabarriaga, T. Solomonides, J. C. Silverstein, J. Montagnat, A. Gaignard, & D. Krefting (Eds.), HealthGrid Applications and Technologies Meet Science Gateways for Life Sciences (pp. 195-204). (Studies in Health Technology and Informatics; Vol. 175). IOS Press. https://doi.org/10.3233/978-1-61499-054-3-195[details]
Stobbe, M. D., Houten, S. M., van Kampen, A. H. C., Wanders, R. J. A., & Moerland, P. D. (2012). Improving the description of metabolic networks: the TCA cycle as example. The FASEB Journal, 26(9), 3625-3636. Advance online publication. https://doi.org/10.1096/fj.11-203091[details]
de Vries, M., Oude Munnink, B. B., Deijs, M., Canuti, M., Koekkoek, S. M., Molenkamp, R., Bakker, M., Jurriaans, S., van Schaik, B. D. C., Luyf, A. C., Olabarriaga, S. D., van Kampen, A. H. C., & van der Hoek, L. (2012). Performance of VIDISCA-454 in feces-suspensions and serum. Viruses, 4(8), 1328-1334. Advance online publication. https://doi.org/10.3390/v4081328[details]
Hakvoort, T. B. M., Moerland, P. D., Frijters, R., Sokolović, A., Labruyère, W. T., Vermeulen, J. L. M., Ver Loren van Themaat, E., Breit, T. M., Wittink, F. R. A., van Kampen, A. H. C., Verhoeven, A. J., Lamers, W. H., & Sokolović, M. (2011). Interorgan coordination of the murine adaptive response to fasting. The Journal of Biological Chemistry, 286(18), 16332-16343. https://doi.org/10.1074/jbc.M110.216986[details]
Huis in 't Veld, R. A. G., Willemsen, A. M., van Kampen, A. H. C., Bradley, E. J., Baas, F., Pannekoek, Y., & van den Ende, A. (2011). Deep Sequencing Whole Transcriptome Exploration of the σ Regulon in Neisseria meningitidis. PLoS ONE, 6(12), Article e29002. https://doi.org/10.1371/journal.pone.0029002[details]
Klarenbeek, P. L., Tak, P. P., van Schaik, B. D. C., Zwinderman, A. H., Jakobs, M. E., Zhang, Z., van Kampen, A. H. C., van Lier, R. A. W., Baas, F., & de Vries, N. (2010). Human T-cell memory consists mainly of unexpanded clones. Immunology letters, 133(1), 42-48. https://doi.org/10.1016/j.imlet.2010.06.011[details]
Luyf, A. C. M., van Schaik, B. D. C., de Vries, M., Baas, F., van Kampen, A. H. C., & Olabarriaga, S. D. (2010). Initial steps towards a production platform for DNA sequence analysis on the grid. BMC Bioinformatics, 11(1), 598. https://doi.org/10.1186/1471-2105-11-598[details]
van Hooff, S. R., Koster, J., Hulsen, T., van Schaik, B. D. C., Roos, M., van Batenburg, M. F., Versteeg, R., & van Kampen, A. H. C. (2009). The construction of genome-based transcriptional units. Omics, 13(2), 105-114. https://doi.org/10.1089/omi.2008.0036[details]
2008
Inda, M. A., van Batenburg, M. F., Roos, M., Belloum, A. S. Z., Vasunin, D., Wibisono, A., van Kampen, A. H. C., & Breit, T. M. (2008). SigWin-detector: A Grid-enabled workflow for discovering enriched windows of genomic features related to DNA sequences. BMC Research Notes, 1, Article 63. https://doi.org/10.1186/1756-0500-1-63[details]
Willemsen, A. M., Jansen, G. A., Komen, J. C., van Hooff, S., Waterham, H. R., Brites, P. M. T., Wanders, R. J. A., & van Kampen, A. H. C. (2008). Organization and integration of biomedical knowledge with concept maps for key peroxisomal pathways. Bioinformatics, 24(16), i21-i27. https://doi.org/10.1093/bioinformatics/btn274[details]
2006
van Passel, M. W. J., Bart, A., Luyf, A. C. M., van Kampen, A. H. C., & van der Ende, A. (2006). Compositional discordance between prokaryotic plasmids and host chromosomes. BMC Genomics, 7, 26. [details]
van Passel, M. W. J., Bart, A., Thygesen, H. H., Luyf, A. C. M., van Kampen, A. H. C., & van den Ende, A. (2005). An acquisition account of genomic islands based on genome signature comparisons. BMC Genomics, 6(artno163). [details]
van Passel, M. W. J., Bart, A., Waaijer, R. J. A., Luyf, A. C. M., van Kampen, A. H. C., & van der Ende, A. (2004). An in vitro strategy for the selective isolation of anomalous DNA from prokaryotic genomes. Nucleic Acids Research, 32(14), e114. [details]
Pauws, E., van Kampen, A. H. C., van de Graaf, S. A. R., de Vijlder, J. J. M., & Ris-Stalpers, C. (2001). Heterogeneity in polyadenylation cleavage sites in mammalian mRNA sequences: implications for SAGE analysis. Nucleic Acids Research, 29(8), 1690-1694. https://doi.org/10.1093/nar/29.8.1690[details]
Stobbe, M. D., Houten, S. M., Jansen, G. A., van Kampen, A. H. C., & Moerland, P. D. (2011). Critical assessment of human metabolic pathway databases: a stepping stone for future integration. BMC Systems Biology, 5(1), Article 165. https://doi.org/10.1186/1752-0509-5-165[details]
Sloot, P. M. A., Frenkel, D., van der Vorst, H. A., van Kampen, A., Bal, H., Klint, P., Mattheij, R. M. M., van Wijk, J., Schaye, J., Langevelde, H-J., Bisseling, R. H., Smit, B., Valenteyn, E., Sips, H., Roerdink, J. B. T. M., & Langedoen, K. G. (2007). Computational e-Science: Studying complex systems in silico: A National Coordinated Initiative : 'White Paper'. Unknown Publisher. http://www.science.uva.nl/research/scs/papers/archive/Sloot2006d.pdf[details]
van Kampen, A. H. C. (2016-). member of the ZonMW committee for Enabling Technologies, ZonMw.
van Kampen, A. H. C. (2014-). Principal Investigator, AMC.
van Kampen, A. H. C. (2014). member of the ZonMW committee for Enabling Technologies, ZonMw.
van Kampen, A. H. C. (2014). Chair NVAO visitation committee Gent University Bioinformatics., Gent University Bioinformatics. Gent, Belgium.
van Kampen, A. H. C. (2014). Principal Investigator at the AMC, AMC.
van Kampen, A. H. C. (2014). Chair NVAO visitation committee Hogeschool West Vlaanderen Bioinformatics. Brugge, October 2014, Hogeschool West Vlaanderen Bioinformatics. Brugge, Belgium.
van Kampen, A. H. C. (2009-2016). Scientific Advisory Board, Graduate school Chemical Biology (KoRS-CB), University of Konstanz.
Tijdschriftredactie
van Kampen, A. H. C. (editor) (2010). Advances in Bioinformatics (Journal).
van Kampen, A. H. C. (editor) (2008-2014). Advances in Bioinformatics (Journal).
van Kampen, A. H. C. (editor) (2008). Advances in Bioinformatics (Journal).
Spreker
van Kampen, A. H. C. (speaker) (10-11-2016). Determination of the affinity distribution among B cells measured by repertoire sequencing, 8th Annual Next Generation Sequencing Congress, London.
van Kampen, A. H. C. (invited speaker) (8-11-2016). Affinity of subclones identified in repertoire sequencing. A computational modelling approach., Babraham Institute Cambridge.
van Kampen, A. H. C. (invited speaker) (18-6-2013). Sequencing of the T-cell repertoire in Rheumatoid Arthritis, Next Generation Sequencing Data Congress, London, United Kingdom.
van Kampen, A. H. C. (invited speaker) (29-8-2012). Can we trust public biological pathway databases?, SILS Research Day, University of Amsterdam, Amsterdam, The Netherlands.
van Kampen, A. H. C. (invited speaker) (2012). Using Exome Sequencing to Identify Gene Variants Responsible for Genetic Disorders. Principles, Applications and Pitfalls., KoRS-CB seminar, University of Konstanz, Germany.
van Kampen, A. H. C. (speaker) (16-10-2009). Novel information management approaches for the development of knowledge bases to support systems biology., NCSB: Kick-off Meeting, Noordwijkerhout, the Netherlands.
2024
Pollastro, S. (2024). Understanding response to rituximab treatment in rheumatoid arthritis through immune fingerprinting of T and B cells. [Thesis, fully internal, Universiteit van Amsterdam]. [details]
Chapter 5: T cells clonal responses against rituximab are detected in blood prior to development of anti-rituximab antibodies and can be present before treatment initiation(embargo until 17 May 2026)
Merino Tejero, E. (2022). Multiscale modelling of plasma cell differentiation in the germinal center. [Thesis, fully internal, Universiteit van Amsterdam]. [details]
Sales Barros, R. (2022). Need for speed: Achieving fast image processing in acute stroke care. [Thesis, fully internal, Universiteit van Amsterdam]. [details]
Beckman, W. F. (2021). The role of epigenetics in transcriptional stochasticity and the implications for breast cancer drug resistance. [Thesis, fully internal, Universiteit van Amsterdam]. [details]
van Kampen, A. H. C., Greiff, V., Claireaux, M. A. F., Stratigopoulou, M., van Gils, M. J., van Schaik, B. D. C., Caniels, T. G., Guikema, J. E. J. & Balashova, D. (2024). Additional file 2 of Systematic evaluation of B-cell clonal family inference approaches. Figshare. https://doi.org/10.6084/m9.figshare.25195097.v1
2022
van Schooten, J., Farokhi, E., Schorcht, A., van den Kerkhof, T. L. G. M., Gao, H., van der Woude, P., Burger, J. A., Meesters, T. G. ., Bijl, T., Ghalaiyini, R., Turner, H. L., Dorning, J., van Schaik, B. D. C., van Kampen, A. H. C., Labranche, C. C., Stanfield, R. L., Sok, D., Montefiori, D. C., Burton, D. R., … van Gils, M. J. (24-8-2022). IOMA class antibody ACS101. Protein Data Bank (PDB). https://doi.org/10.2210/pdb7U04/pdb
van Schooten, J., Farokhi, E., Schorcht, A., van den Kerkhof, T. L. G. M., Gao, H., van der Woude, P., Burger, J. A., Meesters, T. G. ., Bijl, T., Ghalaiyini, R., Turner, H. L., Dorning, J., van Schaik, B. D. C., van Kampen, A. H. C., Labranche, C. C., Stanfield, R. L., Sok, D., Montefiori, D. C., Burton, D. R., … van Gils, M. J. (24-8-2022). IOMA class antibody Fab ACS124. Protein Data Bank (PDB). https://doi.org/10.2210/pdb7U0K/pdb
van Schooten, J., Farokhi, E., Schorcht, A., van den Kerkhof, T. L. G. M., Gao, H., van der Woude, P., Burger, J. A., Meesters, T. G. ., Bijl, T., Ghalaiyini, R., Turner, H. L., Dorning, J., van Schaik, B. D. C., van Kampen, A. H. C., Labranche, C. C., Stanfield, R. L., Sok, D., Montefiori, D. C., Burton, D. R., … van Gils, M. J. (10-8-2022). AMC009 SOSIPv5.2 in complex with Fabs ACS101 and ACS124. Protein Data Bank (PDB). https://doi.org/10.2210/pdb7Z3A/pdb
2020
Soleimani Dodaran, M., Sofyall, E., Verschure, P. J., Van Kampen, A. H. C., Borgoni, S., Wiemann, S. & Moerland, P. D. (2020). Additional file 2 of Candidate methylation sites associated with endocrine therapy resistance in ER+/HER2- breast cancer. Figshare. https://doi.org/10.6084/m9.figshare.12673815.v1
Soleimani Dodaran, M., Sofyall, E., Verschure, P. J., Van Kampen, A. H. C., Borgoni, S., Wiemann, S. & Moerland, P. D. (2020). Additional file 14 of Candidate methylation sites associated with endocrine therapy resistance in ER+/HER2- breast cancer. Figshare. https://doi.org/10.6084/m9.figshare.12673806.v1
Soleimani Dodaran, M., Sofyall, E., Verschure, P. J., Van Kampen, A. H. C., Borgoni, S., Wiemann, S. & Moerland, P. D. (2020). Additional file 1 of Candidate methylation sites associated with endocrine therapy resistance in ER+/HER2- breast cancer. Figshare. https://doi.org/10.6084/m9.figshare.12673812.v1
Soleimani Dodaran, M., Borgoni, S., Sofyall, E., Verschure, P. J., Wiemann, S., Moerland, P. D. & Van Kampen, A. H. C. (2020). Candidate methylation sites associated with endocrine therapy resistance in ER+/HER2- breast cancer. Springer Nature. https://doi.org/10.6084/m9.figshare.c.5067306.v1
Soleimani Dodaran, M., Sofyall, E., Verschure, P. J., Van Kampen, A. H. C., Borgoni, S., Wiemann, S. & Moerland, P. D. (2020). Additional file 10 of Candidate methylation sites associated with endocrine therapy resistance in ER+/HER2- breast cancer. Figshare. https://doi.org/10.6084/m9.figshare.12673794.v1
Soleimani Dodaran, M., Sofyall, E., Verschure, P. J., Van Kampen, A. H. C., Borgoni, S., Wiemann, S. & Moerland, P. D. (2020). Additional file 3 of Candidate methylation sites associated with endocrine therapy resistance in ER+/HER2- breast cancer. Figshare. https://doi.org/10.6084/m9.figshare.12673818.v1
Soleimani Dodaran, M., Sofyall, E., Verschure, P. J., Van Kampen, A. H. C., Borgoni, S., Wiemann, S. & Moerland, P. D. (2020). Additional file 13 of Candidate methylation sites associated with endocrine therapy resistance in ER+/HER2- breast cancer. Figshare. https://doi.org/10.6084/m9.figshare.12673803.v1
Soleimani Dodaran, M., Sofyall, E., Verschure, P. J., Van Kampen, A. H. C., Borgoni, S., Wiemann, S. & Moerland, P. (2020). Additional file 4 of Candidate methylation sites associated with endocrine therapy resistance in ER+/HER2- breast cancer. Figshare. https://doi.org/10.6084/m9.figshare.12673821.v1
Soleimani Dodaran, M., Sofyall, E., Verschure, P. J., Van Kampen, A. H. C., Borgoni, S., Wiemann, S. & Moerland, P. (2020). Additional file 8 of Candidate methylation sites associated with endocrine therapy resistance in ER+/HER2- breast cancer. Figshare. https://doi.org/10.6084/m9.figshare.12673833.v1
Soleimani Dodaran, M., Sofyall, E., Verschure, P. J., Van Kampen, A. H. C., Borgoni, S., Wiemann, S. & Moerland, P. (2020). Additional file 7 of Candidate methylation sites associated with endocrine therapy resistance in ER+/HER2- breast cancer. Figshare. https://doi.org/10.6084/m9.figshare.12673830.v1
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