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Search Results: 1 - 10 of 9845 matches for " Stefan Kaluza "
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A Robust High Throughput Platform to Generate Functional Recombinant Monoclonal Antibodies Using Rabbit B Cells from Peripheral Blood
Stefan Seeber, Francesca Ros, Irmgard Thorey, Georg Tiefenthaler, Klaus Kaluza, Valeria Lifke, Jens André Alexander Fischer, Stefan Klostermann, Josef Endl, Erhard Kopetzki, Achal Pashine, Basile Siewe, Brigitte Kaluza, Josef Platzer, Sonja Offner
PLOS ONE , 2014, DOI: 10.1371/journal.pone.0086184
Abstract: We have developed a robust platform to generate and functionally characterize rabbit-derived antibodies using B cells from peripheral blood. The rapid high throughput procedure generates a diverse set of antibodies, yet requires only few animals to be immunized without the need to sacrifice them. The workflow includes (i) the identification and isolation of single B cells from rabbit blood expressing IgG antibodies, (ii) an elaborate short term B-cell cultivation to produce sufficient monoclonal antigen specific IgG for comprehensive phenotype screens, (iii) the isolation of VH and VL coding regions via PCR from B-cell clones producing antigen specific and functional antibodies followed by the sequence determination, and (iv) the recombinant expression and purification of IgG antibodies. The fully integrated and to a large degree automated platform (demonstrated in this paper using IL1RL1 immunized rabbits) yielded clonal and very diverse IL1RL1-specific and functional IL1RL1-inhibiting rabbit antibodies. These functional IgGs from individual animals were obtained at a short time range after immunization and could be identified already during primary screening, thus substantially lowering the workload for the subsequent B-cell PCR workflow. Early availability of sequence information permits one to select early-on function- and sequence-diverse antibodies for further characterization. In summary, this powerful technology platform has proven to be an efficient and robust method for the rapid generation of antigen specific and functional monoclonal rabbit antibodies without sacrificing the immunized animal.
Catalytic Behaviour of Mesoporous Cobalt-Aluminum Oxides for CO Oxidation
Ankur Bordoloi,Miguel Sanchez,Heshmat Noei,Stefan Kaluza,Dennis Gro?mann,Yuemin Wang,Wolfgang Grünert,Martin Muhler
Journal of Catalysts , 2014, DOI: 10.1155/2014/807545
Abstract: Ordered mesoporous materials are promising catalyst supports due to their uniform pore size distribution, high specific surface area and pore volume, tunable pore sizes, and long-range ordering of the pore packing. The evaporation-induced self-assembly (EISA) process was applied to synthesize mesoporous mixed oxides, which consist of cobalt ions highly dispersed in an alumina matrix. The characterization of the mesoporous mixed cobalt-aluminum oxides with cobalt loadings in the range from 5 to 15?wt% and calcination temperatures of 673, 973, and 1073?K indicates that Co2+ is homogeneously distributed in the mesoporous alumina matrix. As a function of the Co loading, different phases are present comprising poorly crystalline alumina and mixed cobalt aluminum oxides of the spinel type. The mixed cobalt-aluminum oxides were applied as catalysts in CO oxidation and turned out to be highly active. 1. Introduction Supported metal oxide catalysts have attracted much attention in recent years due to their widespread applicability in industrially and academically important reactions. The extent and nature of the interaction, dispersion, and reducibility of the metal oxides depend on the synthesis method, loading, calcination temperature, and time. Cobalt supported on alumina is a typical catalyst, which is specially important for Fischer-Tropsch synthesis. Conventionally, the preparation of cobalt catalysts is performed by incipient wetness impregnation using suitable cobalt precursors on commercial alumina at low pH. Weak interaction is normally observed between the positively charged alumina carrier and the cobalt cations resulting in relatively large crystallite sizes [1–4]. Continuous efforts have been made in the last few decades by several groups [5–7] to synthesize porous alumina with high surface area by high-temperature dehydration of bulk powders [8], modified sol-gel synthesis in the presence of organic moieties [9, 10], different surfactants [3], block copolymers [11–14], or evaporation-induced self-assembly (EISA) with colloidal precursors and amine structural agents [15, 16]. These materials represent an active support, which may participate positively or negatively in the formation of the final catalysts. Moreover, the methods of hard templating [17] (carbon template) and microwave irradiation [18] in the presence of surfactants have been applied to synthesize alumina materials with crystalline, ordered, and uniform mesopores. However, this process is very time consuming and hardly scalable for industrial applications. Ordered mesoporous materials
An Approach to Analysis of Daily Living Dynamics
Bostjan Kaluza,Matjaz Gams
Lecture Notes in Engineering and Computer Science , 2010,
Abstract:
A Novel Angiopoietin-2 Selective Fully Human Antibody with Potent Anti-Tumoral and Anti-Angiogenic Efficacy and Superior Side Effect Profile Compared to Pan-Angiopoietin-1/-2 Inhibitors
Markus Thomas, Yvonne Kienast, Werner Scheuer, Monika B?hner, Klaus Kaluza, Christian Gassner, Frank Herting, Ulrich Brinkmann, Stefan Seeber, Anita Kavlie, Martin Welschof, Stefan Ries, K. Michael Weidner, J?rg T. Regula, Christian Klein
PLOS ONE , 2013, DOI: 10.1371/journal.pone.0054923
Abstract: There is increasing experimental evidence for an important role of Angiopoietin-2 (Ang-2) in tumor angiogenesis and progression. In addition, Ang-2 is up-regulated in many cancer types and correlated with poor prognosis. To investigate the functional role of Ang-2 inhibition in tumor development and progression, we generated novel fully human antibodies that neutralize specifically the binding of Ang-2 to its receptor Tie2. The selected antibodies LC06 and LC08 recognize both rodent and human Ang-2 with high affinity, but LC06 shows a higher selectivity for Ang-2 over Ang-1 compared to LC08 which can be considered an Ang-2/Ang-1 cross-reactive antibody. Our data demonstrate that Ang-2 blockade results in potent tumor growth inhibition and pronounced tumor necrosis in subcutaneous and orthotopic tumor models. These effects are attended with a reduction of intratumoral microvessel density and tumor vessels characterized by fewer branches and increased pericyte coverage. Furthermore, anti-Ang-2 treatment strongly inhibits the dissemination of tumor cells to the lungs. Interestingly, in contrast to the Ang-2/Ang-1 cross-reactive antibody LC08 that leads to a regression of physiological vessels in the mouse trachea, the inhibition with the selective anti-Ang-2 antibody LC06 appears to be largely restricted to tumor vasculature without obvious effects on normal vasculature. Taken together, these data provide strong evidence for the selective Ang-2 antibody LC06 as promising new therapeutic agent for the treatment of various cancers.
Autonomous Learning by Simple Dynamical Systems with Delayed Feedbacks
Pablo Kaluza,Alexander S. Mikhailov
Physics , 2014, DOI: 10.1103/PhysRevE.90.030901
Abstract: A general scheme for construction of dynamical systems able to learn generation of the desired kinds of dynamics through adjustment of their internal structure is proposed. The scheme involves intrinsic time-delayed feedback to steer the dynamics towards the target performance. As an example, a system of coupled phase oscillators, which can by changing the weights of connections between its elements evolve to a dynamical state with the prescribed (low or high) synchronization level, is considered and investigated.
The Proliferation REduction with Vascular ENergy Trial (PREVENT)
Albert E Raizner, Grzegorz L Kaluza
Trials , 2001, DOI: 10.1186/cvm-2-1-016
Abstract: Radiation therapy with sources emitting gamma and beta radiation has shown the ability to inhibit restenosis after percutaneous coronary interventions [1]. Human trials with endovascular gamma radiation demonstrated decreased restenosis in patients with prior restenosis undergoing repeat coronary angioplasty followed by radiotherapy [2,3]. Non-randomized pilot studies with endovascular beta radiation after balloon angioplasty showed a low late lumen loss and a low restenosis rate in patients with de novo lesions [4] as well as with in-stent restenosis [5]. PREVENT (Proliferation REduction with Vascular ENergy Trial) was the first randomized placebo-controlled trial of intracoronary beta radiation for the prevention of coronary restenosis [6].The primary objective of this study was to demonstrate the safety and performance of an intracoronary beta-radiation therapy system (Guidant Vascular Intervention, Houston, Texas). Secondary objectives included the evaluation of the effectiveness of intravascular beta radiotherapy after stent implantation (for the first time) in comparison with balloon angioplasty alone, and the relative effectiveness of three radiotherapy doses (16, 20 and 24 Gy beyond the lumen surface) in comparison with a sham radiation procedure (placebo). Radiotherapy was applied to restenotic as well as de novo lesions shorter than 15 mm, with a maximal total treatment length (balloon or stent) of 22 mm or less and a reference vessel diameter of between 2.4 and 3.7 mm inclusive. The intravascular radiation therapy system, the dosimetry and the procedure have been described previously in detail [6,7]. The system consists of three components: the 27 mm 32P source wire, the centering spiral balloon catheter, and the automated source delivery unit. All patients received aspirin (325 mg) for the duration of the study, and ticlopidine (250 mg bid) for 4 weeks afterwards for patients who had received a procedural stent.A total of 105 patients had a successful pr
A network of phase oscillators as a device for sequential pattern generation
Pablo Kaluza,Hildegard Meyer-Ortmanns
Physics , 2011,
Abstract: We design a system of phase oscillators that is able to produce temporally periodic sequences of patterns. Patterns are cluster partitions which encode information as phase differences between phase oscillators. The architecture of our system consists of a retrieval network with N globally coupled phase oscillators, a pacemaker that controls the sequence retrieval, and a set of patterns stored in the couplings between the pacemaker and the retrieval network. The system performs in analogy to a central pattern generator of neural networks and is very robust against perturbations in the retrieval process.
The complex network of global cargo ship movements
Pablo Kaluza,Andrea K?lzsch,Michael T. Gastner,Bernd Blasius
Physics , 2010,
Abstract: Transportation networks play a crucial role in human mobility, the exchange of goods, and the spread of invasive species. With 90% of world trade carried by sea, the global network of merchant ships provides one of the most important modes of transportation. Here we use information about the itineraries of 16,363 cargo ships during the year 2007 to construct a network of links between ports. We show that the network has several features which set it apart from other transportation networks. In particular, most ships can be classified in three categories: bulk dry carriers, container ships and oil tankers. These three categories do not only differ in the ships' physical characteristics, but also in their mobility patterns and networks. Container ships follow regularly repeating paths whereas bulk dry carriers and oil tankers move less predictably between ports. The network of all ship movements possesses a heavy-tailed distribution for the connectivity of ports and for the loads transported on the links with systematic differences between ship types. The data analyzed in this paper improve current assumptions based on gravity models of ship movements, an important step towards understanding patterns of global trade and bioinvasion.
Enhanced spin-orbit scattering length in narrow Al_xGa_{1-x}N/GaN wires
P. Lehnen,Th. Schapers,N. Kaluza,N. Thillosen,H. Hardtdegen
Physics , 2007, DOI: 10.1103/PhysRevB.76.205307
Abstract: The magnetotransport in a set of identical parallel AlGaN/GaN quantum wire structures was investigated. The width of the wires was ranging between 1110 nm and 340 nm. For all sets of wires clear Shubnikov--de Haas oscillations are observed. We find that the electron concentration and mobility is approximately the same for all wires, confirming that the electron gas in the AlGaN/GaN heterostructure is not deteriorated by the fabrication procedure of the wire structures. For the wider quantum wires the weak antilocalization effect is clearly observed, indicating the presence of spin-orbit coupling. For narrow quantum wires with an effective electrical width below 250 nm the weak antilocalization effect is suppressed. By comparing the experimental data to a theoretical model for quasi one-dimensional structures we come to the conclusion that the spin-orbit scattering length is enhanced in narrow wires.
Comparison of Different Control Algorithms for a Gantry Crane System  [PDF]
Stefan Bruins
Intelligent Control and Automation (ICA) , 2010, DOI: 10.4236/ica.2010.12008
Abstract: For a gantry crane system, this paper presents a comparison between four control algorithms. These algo-rithms are being compared on simplicity, stability and robustness. Goal for the controller is to move the load on a gantry crane to a new position with minimal overshoot of the load and maximal speed of the load. An-other goal is to provide an insight in the behaviour of the possible controllers. In this article a parallel P-controller, cascade P-controller, fuzzy controller and an internal model controller are used. To be able to validate and design the controllers a model is derived from the gantry crane. The controllers and the model are being implemented in Matlab Simulink. Finally the controllers are validated and tuned in Labview on a laboratory gantry scrane scale model. Main conclusion is that all presented controllers can be used as a con-troller for the gantry crane system but the fuzzy controller is showing the best performance.
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