PV-1: Leukocyte trafficking molecule and vascular marker

The distinction between lymphatic vessels and blood vessels is a crucial factor in many studies in immunology, vascular biology and cancer biology. They both share several characteristics and perform related, though different functions. They are equally important for the performance of the human immune system with the continuous recirculation of leukocytes from the tissues via lymphatics to the blood vessels and back into the tissue presenting the link between both systems. This study was undertaken to elucidate the differences in the gene expression between primary blood- and lymphatic endothelial cells as well as the two immortalized cell lines HMEC-1 (human microvascular endothelial cell line 1) and TIME (telomerase immortalized microvascular endothelial cell line). Furthermore, we wanted to investigate the mystery surrounding the identity of the antigen recognized by the prototype blood vascular marker PAL-E. In the last step we wanted to study whether the PAL-E antigen would be involved in the process of leukocyte migration from the bloodstream into the surrounding tissue. Our results clearly show that the gene expression in primary blood endothelial cells (BEC), lymphatic endothelial cells (LEC) and the cell lines HMEC-1 and TIME is plastic. Comparison of a large set of BEC- and LEC datasets allowed us to assemble a catalog of new, stable BEC- or LEC specific markers, which we verified in independent experiments. Additionally, several lines of evidence demonstrated that PAL-E recognizes plasmalemma vesicle associated protein 1 (PV-1), which can form complexes with vimentin and neuropilin-1. Finally, numerous in vitro and in vivo experiments identify the first function of the protein PV-1 during leukocyte trafficking, where it acts as regulatory molecule.

Vesicular Trafficking in Osteoclasts

Osteoclasts are multinucleated bone-degrading cells that undergo large changes in their polarisation and vesicular trafficking during the bone resorption cycle. Rab proteins are small GTPases that offer both temporal and spatial regulation to the transport between membranous organelles. Previously the presence and function of only few of the currently known 60 Rab proteins in osteoclasts have been reported. In this study, the expression of 26 Rab genes in bone-resorbing osteoclasts was demonstrated with gene-specific primer pairs. The further analysis of three Rab genes during human osteoclast differentiation revealed that Rab13 gene is highly induced during osteoclastogenesis. The presence of Rab13 protein in the secretory vesicles directed towards the ruffled border and in the endocytotic or transcytotic pathways in resorbing osteoclasts was excluded. The localisation of Rab13 suggests that that it is associated with a previously unknown vesicle population travelling between the trans-Golgi network and the basolateral membrane in bone resorbing osteoclasts. Rab proteins convey their functions by binding to specific effector proteins. We found a novel Rab13 interaction with endospanins-1 and -2 that are yet poorly characterised small transmembrane proteins. The Rab13 subfamily member Rab8 also bound to endospanins, while Rab10 and unrelated Rabs did not. Rab13 and endospanin-2 co-localised in perinuclear vesicles in transfected cells, demonstrating the interaction also in vivo. The inhibition of Rab13 did not interfere with the localisation of endospanin-2 nor did it affect the cell surface expression of growth hormone receptor, as has been previously described for endospanins. The physiological role of this novel protein-protein interaction thus remains to be clarified. The analysis of the transcytotic route in bone resorbing osteoclasts revealed that multiple vesicle populations arise from the ruffled border and transport the bone degradation products for exocytosis. These vesicles are directed to the functional secretory domain that is encircled by an actin-based molecular barrier. Furthermore, the transcytotic vesicles contain abundant Helix pomatia lectin binding sites and represent lipid raft concentrates. Finally, autophagosomal compartments may also be involved in the transcytosis.

GIS-based approach for optimization of onshore wind park infrastructure alignment in Finland

Wind power is a rapidly developing, low-emission form of energy production. In Fin-land, the official objective is to increase wind power capacity from the current 1 005 MW up to 3 500–4 000 MW by 2025. By the end of April 2015, the total capacity of all wind power project being planned in Finland had surpassed 11 000 MW. As the amount of projects in Finland is record high, an increasing amount of infrastructure is also being planned and constructed. Traditionally, these planning operations are conducted using manual and labor-intensive work methods that are prone to subjectivity. This study introduces a GIS-based methodology for determining optimal paths to sup-port the planning of onshore wind park infrastructure alignment in Nordanå-Lövböle wind park located on the island of Kemiönsaari in Southwest Finland. The presented methodology utilizes a least-cost path (LCP) algorithm for searching of optimal paths within a high resolution real-world terrain dataset derived from airborne lidar scannings. In addition, planning data is used to provide a realistic planning framework for the anal-ysis. In order to produce realistic results, the physiographic and planning datasets are standardized and weighted according to qualitative suitability assessments by utilizing methods and practices offered by multi-criteria evaluation (MCE). The results are pre-sented as scenarios to correspond various different planning objectives. Finally, the methodology is documented by using tools of Business Process Management (BPM). The results show that the presented methodology can be effectively used to search and identify extensive, 20 to 35 kilometers long networks of paths that correspond to certain optimization objectives in the study area. The utilization of high-resolution terrain data produces a more objective and more detailed path alignment plan. This study demon-strates that the presented methodology can be practically applied to support a wind power infrastructure alignment planning process. The six-phase structure of the method-ology allows straightforward incorporation of different optimization objectives. The methodology responds well to combining quantitative and qualitative data. Additional-ly, the careful documentation presents an example of how the methodology can be eval-uated and developed as a business process. This thesis also shows that more emphasis on the research of algorithm-based, more objective methods for the planning of infrastruc-ture alignment is desirable, as technological development has only recently started to realize the potential of these computational methods.