
handle: 10852/27931
Cells are directed by signals in their microenvironment. Knowledge about this communication is necessary to understand both normal processes and cancer. This PhD thesis focuses on the human bone marrow microenvironment that governs the generation of B-cells (early B-lymphopoiesis). Multiple environmental elements affecting the maturation process were explored by use of both classical and new technologies. Immunohistochemical investigation of bone marrow biopsies revealed that all stages of differentiating B-cells harbor a niche formed by slender CD10+ stromal cells, suggesting an essential supporting role. A cDNA cloning strategy (signal sequence trap, SST-REX) identified several B-cell surface proteins that may contribute in the crosstalk with the microenvironment. One unknown protein was characterised (TMEM-9), but turned out to have no obvious role in cell communication. Next, classical and new cultivation platforms were developed for assaying the impact of microenvironmental factors on early B-lymphopoiesis. Conventional cultivation based on a feeder layer of stromal cells showed that the morphogen Wnt3a reduced both proliferation of B-cell progenitors and the production of B-cells from hematopoietic stem cells. The existence of an operational Wnt-pathway in B-cell progenitors was verified by detection of central pathway molecules both at protein level (Western blot) and at expression level (RT-PCR). For the purpose of obtaining more advanced models of hematopoietic environments, a microfluidic system (chip) was fabricated by soft lithography. The system was compatible with long-term cultivation and stem cell differentiation, as shown by extensive adipogenic and osteogenic differentiation of mesenchymal stem cells (MSCs), which are reported to provide essential hematopoietic support. Exploitation of the microscale properties of this system can be used for housing hematopoietic cells in more realistic environments than those enabled by existing methods.
VDP::700, 570, 610
VDP::700, 570, 610
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
