Christiane Püttmann
RWTH Aachen University
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Publication
Featured researches published by Christiane Püttmann.
Langmuir | 2015
Kasper Eersels; Bart van Grinsven; Mehran Khorshid; Veerle Somers; Christiane Püttmann; Christoph Stein; Stefan Barth; Hanne Diliën; Gerard M. J. Bos; Wilfred T. V. Germeraad; Thomas J. Cleij; Ronald Thoelen; Ward De Ceuninck; Patrick Wagner
Previous work has indicated that surface imprinted polymers (SIPs) allow for highly specific cell detection through macromolecular cell imprints. The combination of SIPs with a heat-transfer-based read-out technique has led to the development of a selective, label-free, low-cost, and user-friendly cell detection assay. In this study, the breast cancer cell line ZR-75-1 is used to assess the potential of the platform for monitoring the quality of a cell culture in time. For this purpose, we show that the proposed methodology is able to discriminate between the original cell line (adherent growth, ZR-75-1a) and a descendant cell line (suspension growth, ZR-75-1s). Moreover, ZR-75-1a cells were cultured for a prolonged period of time and analyzed using the heat-transfer method (HTM) at regular time intervals. The results of these experiments demonstrate that the thermal resistance (Rth) signal decays after a certain number of cell culture passages. This can likely be attributed to a compromised quality of the cell culture due to cross-contamination with the ZR-75-1s cell line, a finding that was confirmed by classical STR DNA profiling. The cells do not express the same functional groups on their membrane, resulting in a weaker bond between cell and imprint, enabling cell removal by mechanical friction, provided by flushing the measuring chamber with buffer solution. These findings were further confirmed by HTM and illustrate that the biomimetic sensor platform can be used as an assay for monitoring the quality of cell cultures in time.
Langmuir | 2014
Karolien Bers; Kasper Eersels; Bart van Grinsven; Mat J. A. P Daemen; Jeroen F. J. Bogie; Jerome J. A. Hendriks; Evelien E. Bouwmans; Christiane Püttmann; Christoph Stein; Stefan Barth; Gerard M. J. Bos; Wilfred T. V. Germeraad; Ward De Ceuninck; Patrick Wagner
Surface-imprinted polymers allow for specific cell detection based on simultaneous recognition of the cell shape, cell size, and cell membrane functionalities by macromolecular cell imprints. In this study, the specificity of detection and the detection sensitivity for target cells within a pool of non-target cells were analyzed for a cell-specific surface-imprinted polymer combined with a heat-transfer-based read-out technique (HTM). A modified Chinese hamster ovarian cell line (CHO-ldlD) was used as a model system on which the transmembrane protein mucin-1 (MUC1) could be excessively expressed and for which the occurrence of MUC1 glycosylation could be controlled. In specific cancer cells, the overexpressed MUC1 protein typically shows an aberrant apical distribution and glycosylation. We show that surface-imprinted polymers discriminate between cell types that (1) only differ in the expression of a specific membrane protein (MUC1) or (2) only differ in the membrane protein being glycosylated or not. Moreover, surface-imprinted polymers of cells carrying different glycoforms of the same membrane protein do target both types of cells. These findings illustrate the high specificity of cell detection that can be reached by the structural imprinting of cells in polymer layers. Competitiveness between target and non-target cells was proven to negatively affect the detection sensitivity of target cells. Furthermore, we show that the detection sensitivity can be increased significantly by repetitively exposing the surface to the sample and eliminating non-specifically bound cells by flushing between consecutive cell exposures.
Monoclonal antibodies in immunodiagnosis and immunotherapy | 2014
Magdalena Bialon; Ludmila Schellenberg; Nicolas Herzog; Stefan Kraus; Hannah Jörißen; Rainer Fischer; Christoph Stein; Jörg Nähring; Stefan Barth; Christiane Püttmann
Monoclonal antibodies are produced in cultured hybridoma cell lines, but these cells tend to be unstable; it is therefore necessary to rescue the corresponding genetic information. Here we describe an improved method for the amplification of antibody variable gene (V-gene) information from murine hybridoma cells using a panel of specific, non-degenerate primers. This primer set allows sequences to be rescued from all murine V-genes, except the lambda light chain genes, which rarely contribute to murine immune diversity. We tested the primers against a range of antibodies and recovered specific amplification products in all cases. The heavy and light chain variable regions were subsequently joined by a two-step cloning strategy or by splice overlap extension PCR.
Cancer Letters | 2016
Mira Woitok; Diana Klose; Judith Niesen; Wolfgang Richter; Muhammad Abbas; Christoph Stein; Rolf Fendel; Magdalena Bialon; Christiane Püttmann; Rainer Fischer; Stefan Barth; Katharina Kolberg
Antibody-drug conjugates (ADCs) combine the potency of cytotoxic drugs with the specificity of monoclonal antibodies (mAbs). Most ADCs are currently generated by the nonspecific conjugation of drug-linker reagents to certain amino acid residues in mAbs, resulting in a heterogeneous product. To overcome this limitation and prepare ADCs with a defined stoichiometry, we use SNAP-tag technology as an alternative conjugation strategy. This allows the site-specific conjugation of O(6)-benzylguanine (BG)-modified small molecules to SNAP-tag fusion proteins. To demonstrate the suitability of this system for the preparation of novel recombinant ADCs, here we conjugated SNAP-tagged single chain antibody fragments (scFvs) to a BG-modified version of auristatin F (AURIF). We used two scFv-SNAP fusion proteins targeting members of the epidermal growth factor receptor (EGFR) family that are frequently overexpressed in breast cancer. The conjugation of BG-AURIF to EGFR-specific 425(scFv)-SNAP and HER2-specific αHER2(scFv)-SNAP resulted in two potent recombinant ADCs that specifically killed breast cancer cell lines by inducing apoptosis when applied at nanomolar concentrations. These data confirm that SNAP-tag technology is a promising tool for the generation of novel recombinant ADCs.
Antibiotiques | 2014
Lars Blohm; Christiane Püttmann; Simone Holz; Gundula Piechotta; Jörg Albers; Christina Dammers; Michael Kleines; Alexander Krüttgen; Georg Melmer; Jörg Nähring; Stefan Barth; Eric Nebling
The detection of hepatitis C virus (HCV) in the blood of patients is currently based on immunological assays (enzyme-linked immunosorbent assay (ELISA) and recombinant immunoblot assay) that use different HCV epitopes to detect anti-HCV antibodies, and these tests usually require laboratories and trained personnel. The ELISA-based systems are also time consuming. Portable diagnostic devices offering rapid test results would therefore be advanta- geous in the field of medical care. To facilitate the fast and reliable diagnosis of HCV, we used a miniaturized automated system based on a cartridge with an integrated electrical biochip for the decentralized detection of anti-HCV antibodies against the Core, NS3, and NS4A proteins. This system allows the detection of virus-specific antibodies in 2 µL of serum or whole blood within 15 minutes using an ELISA directly on a gold electrode array containing HCV proteins as the capture antigen. The sensitivity of this system is comparable with standard microtiter plate ELISAs, but the duration of the novel assay is 5%-6% that of standard ELISAs.
Biosensors and Bioelectronics | 2011
Stefan Kraus; Michael Kleines; Jörg Albers; Lars Blohm; Gundula Piechotta; Christiane Püttmann; Stefan Barth; Jörg Nähring; Eric Nebling
Physica Status Solidi (a) | 2015
Kasper Eersels; B. van Grinsven; Thijs Vandenryt; K. L. Jiménez-Monroy; Marloes Peeters; Veerle Somers; Christiane Püttmann; Christoph Stein; Stefan Barth; Gerard M. J. Bos; Wilfred T. V. Germeraad; Hanne Diliën; Thomas J. Cleij; Ronald Thoelen; W. De Ceuninck; Patrick Wagner
Journal of Micromechanics and Microengineering | 2014
Andreas Buchenauer; Magdalena Bialon; Daniel Segun; Christiane Püttmann; Christoph Stein; Stefan Barth; Uwe Schnakenberg
Archive | 2012
Stefan Barth; Katharina Kolberg; Christiane Püttmann; Severin Schmies
Archive | 2012
Stefan Barth; Katharina Kolberg; Christiane Püttmann; Severin Schmies