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341 results on '"Brendel, Cornelia"'

1. Tracking Stem Cells and Macrophages with Gold and Iron Oxide Nanoparticles-the Choice of the Best Suited Particles

Author

Sun, Xing, primary, Gamal, Mahmoud, additional, Nold, Philipp, additional, Said, Alaa, additional, Chakraborty, Indranath, additional, Pelaz, Beatriz, additional, Schmied, Franziska, additional, von Pückler, Kerstin, additional, Figiel, Jens, additional, Zhao, Ying, additional, Brendel, Cornelia, additional, Hassan, Moustapha, additional, Parak, Wolfgang J., additional, and Felivag, Neus, additional

Published
2024
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2. An Explainable AI System for the Diagnosis of High Dimensional Biomedical Data

Author

Ultsch, Alfred, Hoffmann, Jörg, Röhnert, Maximilian, Von Bonin, Malte, Oelschlägel, Uta, Brendel, Cornelia, and Thrun, Michael C.

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Quantitative Biology - Quantitative Methods, Statistics - Machine Learning, 68T05, I.2, I.5
Abstract

Typical state of the art flow cytometry data samples consists of measures of more than 100.000 cells in 10 or more features. AI systems are able to diagnose such data with almost the same accuracy as human experts. However, there is one central challenge in such systems: their decisions have far-reaching consequences for the health and life of people, and therefore, the decisions of AI systems need to be understandable and justifiable by humans. In this work, we present a novel explainable AI method, called ALPODS, which is able to classify (diagnose) cases based on clusters, i.e., subpopulations, in the high-dimensional data. ALPODS is able to explain its decisions in a form that is understandable for human experts. For the identified subpopulations, fuzzy reasoning rules expressed in the typical language of domain experts are generated. A visualization method based on these rules allows human experts to understand the reasoning used by the AI system. A comparison to a selection of state of the art explainable AI systems shows that ALPODS operates efficiently on known benchmark data and also on everyday routine case data., Comment: 29 pages, 5 figure, 5 tables, data available at https://data.mendeley.com/datasets/jk4dt6wprv/1

Published
2021

5. Diverse Applications of Nanomedicine.

Author

Pelaz, Beatriz, Alexiou, Christoph, Alvarez-Puebla, Ramon A, Alves, Frauke, Andrews, Anne M, Ashraf, Sumaira, Balogh, Lajos P, Ballerini, Laura, Bestetti, Alessandra, Brendel, Cornelia, Bosi, Susanna, Carril, Monica, Chan, Warren CW, Chen, Chunying, Chen, Xiaodong, Chen, Xiaoyuan, Cheng, Zhen, Cui, Daxiang, Du, Jianzhong, Dullin, Christian, Escudero, Alberto, Feliu, Neus, Gao, Mingyuan, George, Michael, Gogotsi, Yury, Grünweller, Arnold, Gu, Zhongwei, Halas, Naomi J, Hampp, Norbert, Hartmann, Roland K, Hersam, Mark C, Hunziker, Patrick, Jian, Ji, Jiang, Xingyu, Jungebluth, Philipp, Kadhiresan, Pranav, Kataoka, Kazunori, Khademhosseini, Ali, Kopeček, Jindřich, Kotov, Nicholas A, Krug, Harald F, Lee, Dong Soo, Lehr, Claus-Michael, Leong, Kam W, Liang, Xing-Jie, Ling Lim, Mei, Liz-Marzán, Luis M, Ma, Xiaowei, Macchiarini, Paolo, Meng, Huan, Möhwald, Helmuth, Mulvaney, Paul, Nel, Andre E, Nie, Shuming, Nordlander, Peter, Okano, Teruo, Oliveira, Jose, Park, Tai Hyun, Penner, Reginald M, Prato, Maurizio, Puntes, Victor, Rotello, Vincent M, Samarakoon, Amila, Schaak, Raymond E, Shen, Youqing, Sjöqvist, Sebastian, Skirtach, Andre G, Soliman, Mahmoud G, Stevens, Molly M, Sung, Hsing-Wen, Tang, Ben Zhong, Tietze, Rainer, Udugama, Buddhisha N, VanEpps, J Scott, Weil, Tanja, Weiss, Paul S, Willner, Itamar, Wu, Yuzhou, Yang, Lily, Yue, Zhao, Zhang, Qian, Zhang, Qiang, Zhang, Xian-En, Zhao, Yuliang, Zhou, Xin, and Parak, Wolfgang J

Subjects
Animals, Humans, Neoplasms, Drug Carriers, Drug Delivery Systems, Particle Size, Nanotechnology, Nanomedicine, Nanoparticles, Bioengineering, Prevention, Biotechnology, 5.1 Pharmaceuticals, Generic Health Relevance, Nanoscience & Nanotechnology
Abstract

The design and use of materials in the nanoscale size range for addressing medical and health-related issues continues to receive increasing interest. Research in nanomedicine spans a multitude of areas, including drug delivery, vaccine development, antibacterial, diagnosis and imaging tools, wearable devices, implants, high-throughput screening platforms, etc. using biological, nonbiological, biomimetic, or hybrid materials. Many of these developments are starting to be translated into viable clinical products. Here, we provide an overview of recent developments in nanomedicine and highlight the current challenges and upcoming opportunities for the field and translation to the clinic.

Published
2017

6. Antithetical NFATc1–Sox2 and p53–miR200 signaling networks govern pancreatic cancer cell plasticity

Author

Singh, Shiv K, Chen, Nai-Ming, Hessmann, Elisabeth, Siveke, Jens, Lahmann, Marlen, Singh, Garima, Voelker, Nadine, Vogt, Sophia, Esposito, Irene, Schmidt, Ansgar, Brendel, Cornelia, Stiewe, Thorsten, Gaedcke, Jochen, Mernberger, Marco, Crawford, Howard C, Bamlet, William R, Zhang, Jin-San, Li, Xiao-Kun, Smyrk, Thomas C, Billadeau, Daniel D, Hebrok, Matthias, Neesse, Albrecht, Koenig, Alexander, and Ellenrieder, Volker

Subjects
Biochemistry and Cell Biology, Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Biological Sciences, Digestive Diseases, Stem Cell Research - Nonembryonic - Human, Rare Diseases, Stem Cell Research, Cancer, Stem Cell Research - Nonembryonic - Non-Human, Pancreatic Cancer, Genetics, Aetiology, 2.1 Biological and endogenous factors, Animals, Cell Differentiation, Cell Line, Tumor, Epithelial-Mesenchymal Transition, Humans, Mice, MicroRNAs, NFATC Transcription Factors, Pancreatic Neoplasms, SOXB1 Transcription Factors, Tumor Suppressor Protein p53, cellular plasticity, miRNA, NFATc1, p53, Sox2, Information and Computing Sciences, Medical and Health Sciences, Developmental Biology, Biological sciences, Biomedical and clinical sciences
Abstract

In adaptation to oncogenic signals, pancreatic ductal adenocarcinoma (PDAC) cells undergo epithelial-mesenchymal transition (EMT), a process combining tumor cell dedifferentiation with acquisition of stemness features. However, the mechanisms linking oncogene-induced signaling pathways with EMT and stemness remain largely elusive. Here, we uncover the inflammation-induced transcription factor NFATc1 as a central regulator of pancreatic cancer cell plasticity. In particular, we show that NFATc1 drives EMT reprogramming and maintains pancreatic cancer cells in a stem cell-like state through Sox2-dependent transcription of EMT and stemness factors. Intriguingly, NFATc1-Sox2 complex-mediated PDAC dedifferentiation and progression is opposed by antithetical p53-miR200c signaling, and inactivation of the tumor suppressor pathway is essential for tumor dedifferentiation and dissemination both in genetically engineered mouse models (GEMM) and human PDAC. Based on these findings, we propose the existence of a hierarchical signaling network regulating PDAC cell plasticity and suggest that the molecular decision between epithelial cell preservation and conversion into a dedifferentiated cancer stem cell-like phenotype depends on opposing levels of p53 and NFATc1 signaling activities.

Published
2015

8. Community-driven development of a modified progression-free survival ratio for precision oncology

Author

Mock, Andreas, Heilig, Christoph E, Kreutzfeldt, Simon, Huebschmann, Daniel, Heining, Christoph, Schröck, Evelin, Brors, Benedikt, Stenzinger, Albrecht, Jäger, Dirk, Schlenk, Richard, Glimm, Hanno, Fröhling, Stefan, Horak, Peter, Apostolidis, Leonidas, Augustin, Marinela, Aust, Daniela, Bhatti, Irfan Ahmed, Bloehdorn, Johannes, Brendel, Cornelia, Britschgi, Christian, Braess, Jan, Burdach, Stefan, Busch, Elena, Casuscelli, Jozefina, Desuki, Alexander, Deutsch, Thomas, Dietrich, Mareike, Ehmer, Ursula, Ettrich, Thomas J, Falkenhorst, Johanna, Fehm, Tanja, Flörcken, Anne, Forschner, Andrea, Fuxius, Stefan, Gonzales-Carmona, Maria, Griesinger, Frank, Grill, Sabine, Gröschel, Stefan, Haag, Georg Martin, Haag, Ulrich, Halama, Niels, Hebart, Holger, Heidger, Nina, Hermes, Barbara, Hess, Georg, Hettmer, Simone, Hoechstetter, Manuela, Hoffmann, Martin, Hüttner, Felix J, Illert, Anna L, Jenzer, Maximilian, Kasper, Bernd, Kasper-Virchow, Stefan, Kindler, Thomas, Koscielniak, Ewa, Krönke, Jan, Kühn, Michael, Kunzmann, Volker, Lang, Alois, Leichsenring, Jonas, Livingstone, Elisabeth, Liotta, Lucia, Luley, Kim, Mack, Elisabeth, Martens, Uwe M, Metzeler, Klaus, Middeke, Jan Moritz, Möhrmann, Lino, Jayarama-Naidu, Roopa, Pape, Ulrich-Frank, Perkhofer, Lukas, Pfeufer, Arne, Pixberg, Constantin, Quante, Michael, Rendenbach, Bernhard, Rieke, Damian, Rothermundt, Christian, Sagerer, Andre Norbert, Salzmann, Martin, Saur, Dieter, Schilling, Bastian, Schleicher, Jan, Schlenska-Lange, Anke, Schmidt, Thomas, Schmitz, Sophia, Schölch, Sebastian, Shah, Rajiv, Shoumariyeh, Khalid, Siebenhüner, Alexander, Singh, Martin, Siveke, Jens, Springfeld, Christoph, Starke, Helen, Strobel, Sophia, Teleanu, Veronica, Thon, Niklas, Wagner, Sebastian, Walle, Thomas, Westphalen, Benedikt, Whitlock, Bettina, Winkler, Eva, Wirsik, Naita Maren, Woydack, Lena, Bois, Angelika Zabel-du, and Zschäbitz, Stefanie

Published
2019
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9. An Explainable AI System for the Diagnosis of High-Dimensional Biomedical Data.

Author

Ultsch, Alfred, Hoffmann, Jörg, Röhnert, Maximilian A., von Bonin, Malte, Oelschlägel, Uta, Brendel, Cornelia, and Thrun, Michael C.

Subjects
ARTIFICIAL intelligence, BIOMEDICAL adhesives, FLOW cytometry, VISUALIZATION, BENCHMARKING (Management)
Abstract

Typical state-of-the-art flow cytometry data samples typically consist of measures of 10 to 30 features of more than 100,000 cell "events". Artificial intelligence (AI) systems are able to diagnose such data with almost the same accuracy as human experts. However, such systems face one central challenge: their decisions have far-reaching consequences for the health and lives of people. Therefore, the decisions of AI systems need to be understandable and justifiable by humans. In this work, we present a novel explainable AI (XAI) method called algorithmic population descriptions (ALPODS), which is able to classify (diagnose) cases based on subpopulations in high-dimensional data. ALPODS is able to explain its decisions in a form that is understandable to human experts. For the identified subpopulations, fuzzy reasoning rules expressed in the typical language of domain experts are generated. A visualization method based on these rules allows human experts to understand the reasoning used by the AI system. A comparison with a selection of state-of-the-art XAI systems shows that ALPODS operates efficiently on known benchmark data and on everyday routine case data. [ABSTRACT FROM AUTHOR]

Published
2024
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11. Trustworthy and explainable Artificial Intelligence for Classification of Non-Hodgkin-Lymphoma by Immunophenotype

Author

Thrun, Michael C., Hoffmann, Jörg, Krause, Stefan W., Weit, Nicole, Krawitz, Peter, Kern, Wolfgang, Stier, Quirin, Neubauer, Andreas, Brendel, Cornelia, and Ultsch, Alfred

Subjects
Lymphoma, Artificial Intelligence, Immunophenotype
Abstract

A set of 100 randomly drawn atypical cases was reviewed by immunophenotyping experts. By manual analysis in bivariate plots, the selected data cases were indeed judged as altered or hardly evaluable by the human experts. This manual investigation of the cases confirmed that only four percent of the atypical cases were considered usable for a trustworthy manual diagnostic workflow across all tubes. All other cases (96%) were atypical because of alterations such as incomplete erythrocyte lysis, irregular antibody staining patterns or other aberrations, most likely acquisition artifacts. The manual validation confirms that TM reliably distinguishes inlier cases from atypical ones., {"references":["Thrun, M. C. & Ultsch, A.: Selecting representative samples and identifying outliers by Tiles Mining in biomedical data, Proc. European Conference on Data Analysis (ECDA), Naples, Italy, September July 14-16, 2022."]}

Published
2023
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19. Identification of critical hemodilution by artificial intelligence in bone marrow assessed for minimal residual disease analysis in acute myeloid leukemia: The Cinderella method.

Author

Hoffmann, Joerg, Thrun, Michael C., Röhnert, Maximilian A., von Bonin, Malte, Oelschlägel, Uta, Neubauer, Andreas, Ultsch, Alfred, and Brendel, Cornelia

Abstract

Minimal residual disease (MRD) detection is a strong predictor for survival and relapse in acute myeloid leukemia (AML). MRD can be either determined by molecular assessment strategies or via multiparameter flow cytometry. The degree of bone marrow (BM) dilution with peripheral blood (PB) increases with aspiration volume causing consecutive underestimation of the residual AML blast amount. In order to prevent false‐negative MRD results, we developed Cinderella, a simple automated method for one‐tube simultaneous measurement of hemodilution in BM samples and MRD level. The explainable artificial intelligence (XAI) Cinderella was trained and validated with the digital raw data of a flow cytometric "8‐color" AML‐MRD antibody panel in 126 BM and 23 PB samples from 35 patients. Cinderella predicted PB dilution with high accordance compared to the results of the Holdrinet formula (Pearson's correlation coefficient r = 0.94, R2 = 0.89, p < 0.001). Unlike conventional neuronal networks Cinderella calculated the distributions of 12 different cell populations that were assigned to true hematopoietic counterparts as a human in the loop (HIL) approach. Besides characteristic BM cells such as myelocytes and myeloid progenitor cells the XAI identified discriminating populations, which were not specific for BM or PB (e.g., T cell/NK cell subpopulations and CD45 negative cells) and considered their frequency differences. Thus, Cinderella represents a HIL‐XAI algorithm capable to calculate the degree of hemodilution in BM samples with an AML MRD immunophenotype panel. It is explicable, transparent, and paves a simple way to prevent false negative MRD reports. [ABSTRACT FROM AUTHOR]

Published
2023
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23. A cisplatin-resistant head and neck cancer cell line with cytoplasmic p53mut exhibits ATP-binding cassette transporter upregulation and high glutathione levels

Author

Tonigold, Manuel, Rossmann, Annette, Meinold, Marie, Bette, Michael, Märken, Melanie, Henkenius, Katharina, Bretz, Anne C., Giel, Gavin, Cai, Chengzhong, Rodepeter, Fiona R., Beneš, Vladimir, Grénman, Reidar, Carey, Thomas E., Lage, Hermann, Stiewe, Thorsten, Neubauer, Andreas, Werner, Jochen A., Brendel, Cornelia, and Mandic, Robert

Published
2014
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34. Identification of Prognostic Immunophenotypes at First Diagnosis in Patients with Acute Myeloid Leukemia (AML) By a Standardized Multicolor Flow Cytometry (MFC) Panel Originally Designed to Detect Measurable Residual Disease (MRD) at Follow-up

Author

Rohnert, Maximilian Alexander A, primary, von Bonin, Malte, additional, Kramer, Michael, additional, Ensel, Philipp, additional, Holtschke, Nadja, additional, Rollig, Christoph, additional, Bornhäuser, Martin, additional, Buecklein, Veit, additional, Subklewe, Marion, additional, Krause, Stefan W, additional, Voelkl, Simon, additional, Berg, Tobias, additional, Rieger, Michael A, additional, Brendel, Cornelia, additional, Hoffmann, Jörg, additional, Hofmeister-Mielke, Nicole, additional, Schlenk, Richard F., additional, Freeman, Sylvie D, additional, and Oelschlägel, Uta, additional

Published
2020
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39. Cloning and characterization of a novel druggable fusion kinase in acute myeloid leukemia

Author

Michel, Christian, primary, Mack, Elisabeth K.M., additional, Mais, Christopher-Nils, additional, Fritz, Lea V., additional, Wang, Ying, additional, Jehn, Lutz B., additional, Hühn, Sonja K., additional, Simon, Clara, additional, Inselmann, Sabrina, additional, Marquardt, André, additional, Kremer, Jennifer, additional, Wollmer, Ellen, additional, Sohlbach, Kristina, additional, Neubauer, Andreas, additional, Brendel, Cornelia A., additional, Haferlach, Claudia, additional, Bange, Gert, additional, and Burchert, Andreas, additional

Published
2019
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43. Influence of cell surface marker expression on leukocytes of germ cell cancer patients in advanced stages on the relapse free survival after high-dose chemotherapy and autologous stem cell transplantation

Author

Nilius-Eliliwi, Verena Christina and Brendel, Cornelia (PD Dr. med.)

Subjects
Monozyten, germ cell cancer, beta-1,4-galactosyltransferase, biomarker, CD31, Biomarker, CD49d, rezidivfreies Überleben, Hochdosischemother, relapse free survival, high-dose chem, Medical sciences, Medicine, ddc:610, Medizin, Gesundheit, Keimzelltumor, Prognose, Leukozyten, Hodentumor, Beta-1,4-Galactosyltransferase, T-Lymphozyten, Biomarker, CD31, CD184, IL10, t-lymphocytes, monocytes
Abstract

Testicular cancer is the most common tumor in 15 to 45 year old men. Even in advanced stages it has a quite good prognosis with a survival rate of about 70-80%. In order to better estimate the prognosis of those patients with metastatic or relapsed disease the International Germ Cell Collaborative Group has developed a score (IPF-score). In the last years a lot of research on the field of tumorimmunology has been done. In Non-small cell lung cancer proteins that are part of the leukocyte adhesion pathway have a significant influence on the relapse probability of the patients. Furthermore the enzyme β-1,4-galactosyltransferase was found to be significantly higher in patients who do not suffer a relapse of disease. In testicular germ cell tumors little is known about tumorimmunologic interactions so far. Besides most of the studies have investigated the expression levels on the tumor cells themselves. In this paper we tested them on the patients´ leucocytes. This study was supposed to investigate the influence of B4GALT1, as well as different surface molecules, which are part of the leucocytes adhesion pathway, on the relapse probability of the patients. Three different surface markers were chosen for analysis. Those were platelet endothelial cell adhesion molecule 1 (PECAM1), very late antigen 4 (VLA-4) and CXC receptor 4 (CXCR4). Furthermore we measured the expression of IL10, which has impact on tumor control because of immunoregulatory functions. All of the 46 patients received high-dose chemotherapy and autologous stem cell transplantation. During stem cell apheresis retention samples were taken. Patients had given written informed consent in research usage of the samples. The surface expression levels of PECAM-1, VLA-4 and CXCR4 were measured with flow cytometry. Moreover T-cells and monocytes were separated from the other cells. Afterwards RNA was extracted from all cells in order to determine mRNA-expression levels of B4GALT1 and IL10 with real time-polymerase chain reaction (RT-PCR). For analysis the IPF-score of all patients was calculated and patients were grouped according to the further course of disease into the groups “no relapse”, “early relapse” and “late relapse”. The analysis of the surface marker expression levels did not show any significant differences between the groups neither for T-cells nor for monocytes. Whereas the expression of B4GALT1 was significantly higher in T-cells of patients without relapse compared to the other groups. In monocytes and the all cell-population no differences were found. Kaplan-Meier analysis showed that patients with a high B4GALT1 expression in T-cells had a longer relapse-free survival. This study was conducted with a limited number of thawed patient samples. For validation of the results, further studies, such as prospective trials, are needed., Hodentumore stellen die häufigste Tumorentität bei 15- bis 45-jährigen Männern dar. Auch in fortgeschrittenen Stadien hat die Erkrankung mit einer Überlebensrate von 70-80% eine vergleichsweise gute Prognose. Um die Prognose insbesondere in diesen Stadien besser abschätzen zu können, wurde von der „International Germ Cell Collaborative Group“ ein Punktesystem entwickelt (IPF-Score). In den letzten Jahren wurde intensiv auf dem Gebiet der Tumorimmunologie geforscht. Für Zellen des Nicht-kleinzelligen Lungenkarzinoms stellte sich heraus, dass insbesondere die Expression von Proteinen, die an der Leukozytenadhäsion beteiligt sind, einen signifikanten Einfluss auf die Rezidivhäufigkeit der Patienten haben. Des Weiteren korrelierte die Expression des Enzyms β-1,4-Galactosyltransferase (B4GALT1) signifikant mit der Rezidivwahrscheinlichkeit. Für testikuläre Keimzelltumore ist bislang wenig über tumorimmunologische Zusammenhänge bekannt. Um jene zu beleuchten, sollte in dieser Arbeit der Einfluss sowohl von B4GALT1, als auch von an der Leukozytenadhäsion beteiligten Oberflächenmolekülen auf die Rezidivwahrscheinlichkeit der Patienten untersucht werden. Dazu wurden drei an der Leukozytenadhäsion beteiligte Oberflächenmarker ausgewählt. Diese waren das Thrombozyten-Endothelzellen-Adhäsionsmolekül 1 (englisch platelet endothelial cell adhesion molecule 1, PECAM1), das α4-β1-Intergrin (englisch very late antigen 4, VLA-4) und der CXC Chemokin Rezeptor 4 (CXCR4). Des Weiteren wurde die Expression von IL10 bestimmt, welches durch immunregulatorische Funktionen ebenfalls Einfluss auf die Tumorkontrolle hat. Die Untersuchungen wurden im Gegensatz zu den oben genannten an den Leukozyten, nicht den Tumorzellen durchgeführt, um die tumorimmunologischen Zusammenhänge von anderer Seite zu betrachten. Bei den Patienten handelte es sich um 46 Hodentumorpatienten in fortgeschrittenen Stadien, die allesamt eine Hochdosischemotherapie mit anschließender autologer Stammzelltransplantation erhalten hatten. Im Rahmen der Stammzellapharese waren Rückstellproben eingefroren worden. In die Verwendung dieser zu Forschungszwecken hatten die Patienten schriftlich eingewilligt. Die Oberflächenexpression von PECAM-1, VLA-4 und CXCR4 wurde durchflusszytometrisch gemessen. Außerdem wurden die Zellen in die Fraktionen Monozyten, T-Lymphozyten und übrige mononukleären Zellen sortiert. Mittels quantitativer Polymerase-Kettenreaktion wurde die mRNA-Expression von B4GALT1 und IL10 bestimmt. Für die Analyse der Daten wurde der IPF-Score berechnet und die Patienten nach dem weiteren Krankheitsverlauf in die Gruppen „kein Rezidiv“, „Frührezidiv“ und „Spätrezidiv“ eingeteilt. Die Analyse der Oberflächenmarkerexpression zeigte keine signifikanten Unterschiede zwischen den drei Gruppen, weder auf Monozyten noch auf T-Lymphoyzten. Die Expression von B4GALT1 war auf T-Lymphozyten, nicht jedoch auf Monozyten oder der Gesamtpopulation, der Gruppe „kein Rezidiv“ signifikant höher als in den beiden anderen Gruppen. Eine Kaplan-Meier Analyse zeigte weiterhin, dass diejenigen Patienten mit einer hohen B4GALT1-Expression in T-Zellen ein signifikant längeres Rezidiv freies Überleben hatten. Die hier vorliegende Untersuchung fand an einer limitierten Anzahl von aufgetauten Patientenproben statt. Um die Ergebnisse zu validieren, sind in Zukunft noch weitere Untersuchungen, beispielsweise als prospektive Studie, nötig.

Published
2018
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44. Outcome of non-mold effective anti-fungal prophylaxis in patients at high-risk for invasive fungal infections after allogenic stem cell transplantation

Author

Christen, Deborah, primary, Sohlbach, Kristina, additional, Metzelder, Stephan K., additional, Wollmer, Ellen, additional, Hoeffkes, Heinz-Gert, additional, Naumann, Ralph, additional, Burchardt, Alexander, additional, Rummel, Mathias, additional, Trenker, Corinna, additional, Dohse, Marius, additional, Mack, Elisabeth, additional, Klameth, Andreas, additional, Mann, Christoph, additional, Kostrewa, Philippe, additional, Brendel, Cornelia, additional, Wündisch, Thomas, additional, Neubauer, Andreas, additional, Wilhelm, Christian, additional, and Burchert, Andreas, additional

Published
2019
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46. Additional file 1: Figure S1. of Immunosuppressive capacity of mesenchymal stem cells correlates with metabolic activity and can be enhanced by valproic acid

Author

Killer, Madeleine, Nold, Philipp, Henkenius, Katharina, Fritz, Lea, Riedlinger, Tabea, Barckhausen, Christina, Frech, Miriam, Hackstein, Holger, Neubauer, Andreas, and Brendel, Cornelia

Abstract

Showing that T-cell suppression induced by MSCs is heterogeneous, Figure S2. Showing that PBMC predisposition to MSC-mediated suppression does not correlate with donor age, Figure S3. Showing that DMSO pretreatment attenuates the ECAR and OCR of MSCs, Figure S4. Showing that freezing with DMSO attenuates MSC metabolism and Figure S5. Showing the influence of VPA and DMSO treatment on PBMC survival. (DOCX 2025Â kb)

Published
2017
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47. MOESM1 of Optimizing conditions for labeling of mesenchymal stromal cells (MSCs) with gold nanoparticles: a prerequisite for in vivo tracking of MSCs

Author

Nold, Philipp, Hartmann, Raimo, Feliu, Neus, Kantner, Karsten, Gamal, Mahmoud, Pelaz, Beatriz, HĂźhn, Jonas, Sun, Xing, Jungebluth, Philipp, Pino, Pablo, Hackstein, Holger, Macchiarini, Paolo, Parak, Wolfgang, and Brendel, Cornelia

Abstract

Additional file 1. Supplementary information about AuNP synthesis, purification, characteristics and about cell proliferation and migration assays.

Published
2017
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50. The Genes for Tissue Factor F3 and Nuclear Receptor 4A Are Down-Regulated in Early Death Acute Promyelocytic Leukemia Patients

Author

Frech, Miriam, primary, Stabla, Kathleen, additional, Nist, Andrea, additional, Mernberger, Marco, additional, Altmann, Heidi, additional, Platzbecker, Uwe, additional, Thiede, Christian, additional, Erramsetti, Prema, additional, Teichler, Sabine, additional, Brendel, Cornelia, additional, Schlenk, Richard F., additional, Stiewe, Thorsten, additional, and Neubauer, Andreas, additional

Published
2018
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