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Your search keyword '"Kugler C"' showing total 375 results
Start Over Author "Kugler C" Publication Type Academic Journals
375 results on '"Kugler C"'

1. Identification of novel target genes in human lung tissue involved in chronic obstructive pulmonary disease

Author

Heinbockel L, Marwitz S, Schromm AB, Watz H, Kugler C, Ammerpohl O, Schnepf K, Rabe KF, Droemann D, and Goldmann T

Subjects
COPD, transcriptome, MFGE8, CSE, cigarette smoke extract, ETS2, Diseases of the respiratory system, RC705-779
Abstract

Lena Heinbockel,1,2 Sebastian Marwitz,1,2 Andra B Schromm,3 Henrik Watz,2,4 Christian Kugler,2,5 Ole Ammerpohl,2,6 Karoline Schnepf,7 Klaus F Rabe,2,5 Daniel Droemann,2,7 Torsten Goldmann1,2 1Pathology of the University Medical Center Schleswig-Holstein (UKSH), Campus Luebeck and Research Center Borstel, Borstel, Germany; 2Airway Research Center North (ARCN), German Center for Lung Research (DZL), Großhansdorf, Germany; 3Immunobiophysics, Research Center Borstel, Borstel, Germany; 4Pulmonary Research Institute at LungenClinic Grosshansdorf, Grosshansdorf, Germany; 5LungenClinic Grosshansdorf, Grosshansdorf, Germany; 6Institute of Human Genetics, University Medical Center Ulm, Ulm, Germany; 7Medical Clinic III, Pulmonology/Infectious Diseases, University Hospital Schleswig-Holstein, Campus Luebeck, Luebeck, Germany Introduction: As part of a study aimed at illuminating at least some of the complex molecular events taking place in COPD, we screened tissues by means of transcriptome analyses. Materials and methods: Tissues were subjected to transcriptome analysis. Candidate genes were identified and validated by immunohistochemistry. Primary human lung cells were subjected to stimulation with cigarette smoke extract for further validation by real time PCR. Results: Six candidate genes were selected for further investigations: Aquaporin 3 (AQP3), extracellular matrix protein 1 (ECM1), four and a half LIM domain 1 (FHL1), milk fat globule epidermal growth factor 8 (MFGE8, lactadherin), phosphodiesterase 4D-interacting protein (PDE4DIP), and creatine transporter SLC6A8. All six proteins were allocated to distinct cell types by immunohistochemistry. Upon stimulation with cigarette smoke extract, human type II pneumocytes showed a dose-dependent down-regulation of MFGE8, while ECM1 and FHL1 also tended to be down-regulated. Although present, none of the candidates was regulated by cigarette smoke extract in primary human macrophages. Discussion: MFGE8 turned out to be an interesting new candidate gene in COPD deserving further studies. Keywords: COPD, transcriptome, MFGE8, CSE, cigarette smoke extract, ETS2

Published
2018

21. Schulungskonzept bei Anaphylaxie: AKS02/04

Author

Brockow, K, Schallmayer, S, Beyer, K, Biedermann, T, Eben, R, Fischer, J, Gebert, N, Gieler, U, Grosber, M, Jakob, T, Klimek, L, Kugler, C, Lange, L, Pfaar, O, Rietschel, E, Schnadt, S, Sczzepanski, R, Worm, M, and Ring, J

Published
2011

49. Investigating Recurrent Neural Networks for OCT A-scan Based Tissue Analysis.

Author

Otte, C., Otte, S., Wittig, L., Hüttmann, G., Kugler, C., Drömann, D., Zell, A., and Schlaefer, A.

Subjects
OPTICAL coherence tomography, HIGH resolution imaging, OPTICAL tomography, BIOPSY, TISSUE analysis
Abstract

Objectives: Optical Coherence Tomography (OCT) has been proposed as a high resolution image modality to guide transbronchial biopsies. In this study we address the question, whether individual A-scans obtained in needle direction can contribute to the identification of pulmonary nodules. Methods: OCT A-scans from freshly resected human lung tissue specimen were recorded through a customized needle with an embedded optical fiber. Bidirectional Long Short Term Memory networks (BLSTMs) were trained on randomly distributed training and test sets of the acquired A-scans. Patient specific training and different pre-processing steps were evaluated. Results: Classification rates from 67.5% up to 76% were archived for different training scenarios. Sensitivity and specificity were highest for a patient specific training with 0.87 and 0.85. Low pass filtering decreased the accuracy from 73.2% on a reference distribution to 62.2% for higher cutoff frequencies and to 56% for lower cutoff frequencies. Conclusion: The results indicate that a grey value based classification is feasible and may provide additional information for diagnosis and navigation. Furthermore, the experiments show patient specific signal properties and indicate that the lower and upper parts of the frequency spectrum contribute to the classification. [ABSTRACT FROM AUTHOR]

Published
2014
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50. Generation and evaluation of a monoclonal antibody, designated MAdL, as a new specific marker for adenocarcinomas of the lung.

Author

Schultz, H, Marwitz, S, Baron-Lühr, B, Zissel, G, Kugler, C, Rabe, K F, Zabel, P, Vollmer, E, Gerdes, J, Goldmann, T., and Baron-Lühr, B

Subjects
MONOCLONAL antibodies, ADENOCARCINOMA, LUNG cancer, IMMUNOHISTOCHEMISTRY, EPITHELIAL cells, TRANSCRIPTION factors
Abstract

Background: Different therapy regimens in non-small-cell lung cancer (NSCLC) are of rising clinical importance, and therefore a clear-cut subdifferentiation is mandatory. The common immunohistochemical markers available today are well applicable for subdifferentiation, but a fraction of indistinct cases still remains, demanding upgrades of the panel by new markers.Methods: We report here the generation and evaluation of a new monoclonal antibody carrying the MAdL designation, which was raised against primary isolated human alveolar epithelial cells type 2.Results: Upon screening, one clone (MAdL) was identified as a marker for alveolar epithelial cell type II, alveolar macrophages and adenocarcinomas of the lung. In a large-scale study, this antibody, with an optimised staining procedure for formalin-fixed tissues, was then evaluated together with the established markers thyroid transcription factor-1, surfactant protein-A, pro-surfactant protein-B and napsin A in a series of 362 lung cancer specimens. The MAdL displays a high specificity (>99%) for adenocarcinomas of the lung, together with a sensitivity of 76.5%, and is capable of delivering independent additional diagnostic information to the established markers.Conclusion: We conclude that MAdL is a new specific marker for adenocarcinomas of the lung, which helps to clarify subdifferentiation in a considerable portion of NSCLCs. [ABSTRACT FROM AUTHOR]

Published
2011
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