1. Bonzanni, N., Garg, A., Feenstra, K.A., Schütte, J., Kinston, S., Miranda-Saavedra, D., Heringa, J., Xenarios, I., Göttgens, B. Hard-wired heterogeneity in blood stem cells revealed using a dynamic regulatory network model. Bioinformatics. 2013 Jul 1;29(13):i80-8.

2. Bredenkamp, N., Ulyanchenko, S., O'Neill, K.E., Manley, N.R., Vaidya, H.J., Blackburn, C.C. An organized and functional thymus generated from FOXN1-reprogrammed fibroblasts. Nat Cell Biol. 2014;16(9):902-8.

3. Chang, R., Shoemaker, R., Wang, W.  A novel knowledge-driven systems biology approach for phenotype prediction upon genetic intervention. IEEE/ACM Trans Comput Biol Bioinform. 2011 Sep-Oct;8(5):1170-82. doi: 10.1109/TCBB.2011.18.

4. Di Maggio, N., Piccinini, E., Jaworski, M., Trumpp, A., Wendt, D.J., Martin, I. Toward modeling the bone marrow niche using scaffold-based 3D culture systems. Biomaterials. 2011;32(2):321-9.

5. Giese, C., Lubitz, A., Demmler, C.D., Reuschel, J., Bergner, K., Marx, U. Immunological substance testing on human lymphatic micro-organoids in vitro. J Biotechnol. 2010 Jul 1;148(1):38-45. doi: 10.1016/j.jbiotec.2010.03.001. Epub 2010 Apr 21.

6. Giese, C., Marx, U. Human immunity in vitro - solving immunogenicity and more. Adv Drug Deliv Rev. 2014 Apr;69-70:103-22. doi: 10.1016/j.addr.2013.12.011. Epub 2014 Jan 19.

7. Kim, H.J., Cantor, H2. The Path to Reactivation of Antitumor Immunity and Checkpoint Immunotherapy. Cancer Immunol Res. 2014 Oct;2(10):926-936.

8. Sachs, K*., Perez, O*., Pe'er D*., Lauffenburger, D., and Nolan, G., (*equal contribution), Causal protein-signaling networks derived from multiparameter single-cell data, Science 2005; 308:523-529

9. Torisawa, Y.S., Spina, C.S., Mammoto, T., Mammoto, A., Weaver, J.C., Tat, T., Collins, J.J,, Ingber, D.E.  Bone marrow-on-a-chip replicates hematopoietic niche physiology in vitro. Nat Methods. 2014 Jun;11(6):663-9.

10. Verhaegh, W., van Ooijen, H., Inda, M.A.,  Hatzis, P., Versteeg, R., Smid, M., Martens, J.,  Foekens, J., Clevers, H., van de Stolpe, A. Selection of personalized patient therapy through the use of knowledge-based computational models that identify tumor-driving signal transduction pathways, Cancer Res 2014 Jun 1;74(11):2936-45.

11. Verhaegh, W. and van de Stolpe, A.  Editorial, Oncotarget, in press

12. Weigelt, B., Ghajar, C.M., Bissell, M.J. The need for complex 3D culture models to unravel novel pathways and identify accurate biomarkers in breast cancer. Adv Drug Deliv Rev. 2014 Apr;69-70:42-51. doi: 10.1016/j.addr.2014.01.001. Epub 2014 Jan 9.