TY - GEN A1 - Sauer, Lysann A1 - Rödiger, Stefan A1 - Schneider, Jens A1 - Schierack, Peter A1 - Roggenbuck, Dirk A1 - Schröder, Christian T1 - Functional Multiparameter Analy sis of Double-Strand Breaks and Associate Biomarkers during Genome Editing, Genome Editing and Gene Modulation Congress 2016, 6.–8.04.2016, Oxford, United Kingdom Y1 - 2016 UR - https://f1000research.com/posters/5-706 ER - TY - CHAP A1 - Rödiger, Stefan A1 - Böhm, Alexander A1 - Nitschke, Jörg A1 - Stavitskaya, Luba A1 - Gruner, Melanie A1 - Kundzer, Alena V. A1 - Volkova, Margarita V. A1 - Generalov, I. A1 - Schmidt, Carsten A1 - Schröder, Christian A1 - Roggenbuck, Dirk A1 - Schierack, Peter T1 - Development of a Method for Multiplex Real-Time Analysis of Enzymati c Activity on a Microbead-Chip. T2 - Infections, Tumors and Autoimmunity, Report on the 11th Dresden Symposium on Autoantibodies held in Dresden on September 01. - 04., 2013 Y1 - 2013 SN - 978-3-89967-881-9 SP - 280 PB - Pabst Science Publ. CY - Lengerich ER - TY - CHAP A1 - Rödiger, Stefan A1 - Burdukiewicz, Michał A1 - Heiserich, Lisa A1 - Schierack, Peter A1 - Roggenbuck, Dirk T1 - Digital Enumeration of Double Strand Breaks via γH2AX and Aassociated biomarkers in a Computing Environment for Reproducible Research T2 - From autoantibody research to standardized diagnostic assays in the management of human diseases, report on the 12th Dresden Symposium on Autoantibodies, September 23-26, 2015 Y1 - 2015 SN - 978-3-95853-104-8 SP - S. 413 PB - Pabst Science Publishers CY - Lengerich ER - TY - GEN A1 - Liedtke, Victoria A1 - Rose, Laura A1 - Hiemann, Rico A1 - Nasser, Abdullah A1 - Rödiger, Stefan A1 - Bonaventura, Alena A1 - Winkler, Laura A1 - Sowa, Mandy A1 - Stöckle, Michael A1 - Schierack, Peter A1 - Junker, Kerstin A1 - Roggenbuck, Dirk T1 - Over-Expression of LEDGF/p75 in HEp-2 Cells Enhances Autoimmune IgG Response in Patients with Benign Prostatic Hyperplasia—A Novel Diagnostic Approach with Therapeutic Consequence? T2 - International Journal of Molecular Sciences N2 - Lens epithelium-derived growth factor splice variant of 75 kDa (LEDGF/p75) is an autoantigen over-expressed in solid tumors and acts as a stress-related transcriptional co-activator. Participation of autoimmune responses in the pathophysiology of benign prostatic hyperplasia (PBH) and a corresponding immunosuppressive therapy by TNFalpha antagonists has been recently suggested. Thus, autoAb testing could aid in the diagnosis of BPH patients profiting from such therapy. We generated CRISPR/Cas9 modified HEp-2 LEDGF knock-out (KO) and HEp-2 LEDGF/p75 over-expressing (OE) cells and examined IgG autoantibody reactivity to LEDGF/p75 in patients with prostate cancer (PCa, n = 89), bladder cancer (BCa, n = 116), benign prostatic hyperplasia (BPH, n = 103), and blood donors (BD, n = 60) by indirect immunofluorescence assay (IFA). Surprisingly, we could not detect elevated binding of autoAbs against LEDGF/p75 in cancer patients, but autoAb reactivity to LEDGF/p75 OE cells in about 50% of patients with BPH was unexpectedly significantly increased. Furthermore, a line immunoassay enabling the detection of 18 different autoAbs revealed a significantly increased occurrence of anti-dsDNA autoAbs in 34% of BPH patients in contrast to tumor patients and BD. This finding was confirmed by anti-mitochondrial (mDNA) autoAb detection with the Crithidia luciliae immunofluorescence test, which also showed a significantly higher prevalence (34%) of anti-mDNA autoAbs in BPH. In summary, our study provided further evidence for the occurrence of autoimmune responses in BPH. Furthermore, LEDGF/p75 over-expression renders HEp-2 cells more autoantigenic and an ideal target for autoAb analysis in BPH with a potential therapy consequence. KW - LEDGF/p75 KW - autoimmunity KW - CRISPR/Cas9 KW - dsDNA KW - mDNA Y1 - 2023 U6 - https://doi.org/10.3390/ijms24076166 SN - 1422-0067 VL - 24 IS - 7 ER - TY - GEN A1 - Lopens, Steffi A1 - Wunsch, Ewa A1 - Milkiewicz, Malgorzata A1 - Röber, Nadja A1 - Zarske, Grit A1 - Nasser, Abdullah A1 - Conrad, Karsten A1 - Laass, Martin W. A1 - Rödiger, Stefan A1 - Krawczyk, Marcin A1 - Roggenbuck, Dirk A1 - Milkiewicz, Piotr T1 - PR3-ANCAs Detected by Third-Generation ELISA Predicts Severe Disease and Poor Survival in Primary Sclerosing Cholangitis T2 - Diagnostics N2 - A highly sensitive detection of anti-neutrophil cytoplasmic antibodies to serine proteinase-3 (PR3-ANCAs) aids in the serological diagnosis of autoimmune liver disorders and the prediction of severity in primary sclerosing cholangitis (PSC). Here, we evaluate a novel third-generation ELISA for the detection of PR3-ANCAs. In total, 309 patients with PSC, 51 with primary biliary cholangitis (PBC), and 120 healthy blood donors (BD) were analyzed. For the survival analysis in PSC, the outcome was defined as liver-transplantation-free survival during the follow-up. Positive PR3-ANCA levels were found in 74/309 (24.0%) of patients with PSC. No BDs and one patient with PBC demonstrated PR3-ANCA positivity. PR3-ANCAs were revealed as independent predictors for a poor PSC outcome (study endpoint: liver transplantation/death, log-rank test, p = 0.02). PR3-ANCA positivity, lower albumin levels, and higher bilirubin concentrations were independent risks of a poor survival (Cox proportional-hazards regression analysis, p < 0.05). The Mayo risk score for PSC was associated with PR3-ANCA positivity (p = 0.01) and the disease severity assessed with a model of end-stage liver disease (MELD) and extended MELD-Na (p < 0.05). PR3-ANCAs detected by a third-generation ELISA are diagnostic and prognostic markers for PSC. Their wider use could help to identify patients who are at-risk of a more severe disease. KW - primary sclerosing cholangitis KW - antibodies against serine protease proteinase-3 KW - survival KW - health-related quality of life KW - liver biochemistry KW - disease severity Y1 - 2022 U6 - https://doi.org/10.3390/diagnostics12112682 SN - 2075-4418 VL - 12 IS - 11 ER - TY - GEN A1 - Burdukiewicz, Michał A1 - Sidorczuk, Katarzyna A1 - Rafacz, Dominik A1 - Pietluch, Filip A1 - Chilimoniuk, Jarosław A1 - Rödiger, Stefan A1 - Przemysław, Gagat T1 - Proteomic Screening for Prediction and Design of Antimicrobial Peptides with AmpGram T2 - International Journal of Molecular Sciences Y1 - 2020 U6 - https://doi.org/10.3390/ijms21124310 SN - 1422-0067 SN - 1661-6596 VL - 21 IS - 12 ER - TY - GEN A1 - Herrmann, Anna A1 - Rödiger, Stefan A1 - Schmidt, Carsten A1 - Schierack, Peter A1 - Schedler, Uwe T1 - Spatial Separation of Microbeads into Detection Levels by a Bioorthogonal Porous Hydrogel for Size-Selective Analysis und Increased Multiplexicity T2 - Analytical chemistry Y1 - 2019 U6 - https://doi.org/10.1021/acs.analchem.9b01586. SN - 1520-6882 SN - 0003-2700 VL - 91 IS - 13 SP - 8484 EP - 8491 ER - TY - GEN A1 - Schmidt, Carsten A1 - Schierack, Peter A1 - Gerber, Ulrike A1 - Schröder, Christian A1 - Choi, Youngeun A1 - Bald, Ilko A1 - Lehmann, Werner A1 - Rödiger, Stefan T1 - Streptavidin Homologues for Applications on Solid Surfaces at High Temperatures T2 - Langmuir Y1 - 2020 U6 - https://doi.org/10.1021/acs.langmuir.9b02339 SN - 1520-5827 SN - 0743-7463 VL - 36 IS - 2 SP - 628 EP - 636 ER - TY - GEN A1 - Reimann, Ronny A1 - Zeng, Bo A1 - Jakopec, Martin A1 - Burdukiewicz, Michał A1 - Petrick, Ingolf A1 - Schierack, Peter A1 - Rödiger, Stefan T1 - Classification of dead and living microalgae Chlorella vulgaris by bioimage informatics an machine learning T2 - Algal Research Y1 - 2020 U6 - https://doi.org/10.1016/j.algal.2020.101908 SN - 2211-9264 VL - 48 ER - TY - GEN A1 - Adefioye, Olusolabomi J. A1 - Weinreich, Jörg A1 - Rödiger, Stefan A1 - Schierack, Peter A1 - Olowe, Olugbenga Adekunle T1 - Phylogenetic Characterization and Multilocus Sequence Typing of Extended-Spectrum Beta Lactamase-Producing Escherichia coli from Food-Producing Animals, Beef, and Humans in Southwest Nigeria T2 - Microbial Drug Resistance Y1 - 2021 U6 - https://doi.org/10.1089/mdr.2019.0397 SN - 1931-8448 SN - 1076-6294 VL - 27 IS - 1 SP - 111 EP - 120 ER - TY - GEN A1 - Rödiger, Stefan A1 - Burdukiewicz, Michał A1 - Schierack, Peter T1 - chipPCR: an R package to pre-process raw data of amplification curves. Bioinformatics T2 - Bioinformatics Y1 - 2015 U6 - https://doi.org/10.1093/bioinformatics/btv205 SN - 1367-4803 SN - 1460-2059 VL - 31 IS - 17 SP - 2900 EP - 2902 ER - TY - GEN A1 - Azam, Hafiz Muhammad Husnain A1 - Rößling, Rosa Ilse A1 - Geithe, Christiane A1 - Khan, Muhammad Moman A1 - Dinter, Franziska A1 - Hanack, Katja A1 - Prüß, Harald A1 - Husse, Britta A1 - Roggenbuck, Dirk A1 - Schierack, Peter A1 - Rödiger, Stefan T1 - MicroRNA biomarkers as next-generation diagnostic tools for neurodegenerative diseases: a comprehensive review T2 - Frontiers in Molecular Neuroscience N2 - Neurodegenerative diseases (NDs) are characterized by abnormalities within neurons of the brain or spinal cord that gradually lose function, eventually leading to cell death. Upon examination of affected tissue, pathological changes reveal a loss of synapses, misfolded proteins, and activation of immune cells—all indicative of disease progression—before severe clinical symptoms become apparent. Early detection of NDs is crucial for potentially administering targeted medications that may delay disease advancement. Given their complex pathophysiological features and diverse clinical symptoms, there is a pressing need for sensitive and effective diagnostic methods for NDs. Biomarkers such as microRNAs (miRNAs) have been identified as potential tools for detecting these diseases. We explore the pivotal role of miRNAs in the context of NDs, focusing on Alzheimer’s disease, Parkinson’s disease, Multiple sclerosis, Huntington’s disease, and Amyotrophic Lateral Sclerosis. The review delves into the intricate relationship between aging and NDs, highlighting structural and functional alterations in the aging brain and their implications for disease development. It elucidates how miRNAs and RNA-binding proteins are implicated in the pathogenesis of NDs and underscores the importance of investigating their expression and function in aging. Significantly, miRNAs exert substantial influence on post-translational modifications (PTMs), impacting not just the nervous system but a wide array of tissues and cell types as well. Specific miRNAs have been found to target proteins involved in ubiquitination or de-ubiquitination processes, which play a significant role in regulating protein function and stability. We discuss the link between miRNA, PTM, and NDs. Additionally, the review discusses the significance of miRNAs as biomarkers for early disease detection, offering insights into diagnostic strategies. KW - neurodegenerative diseases KW - microRNA KW - biomarkers KW - nervous system KW - diagnostic tools KW - therapeutic tools KW - protein post-translational modifications KW - limitations Y1 - 2024 U6 - https://doi.org/10.3389/fnmol.2024.1386735 SN - 1662-5099 VL - 17 PB - Frontiers Media S.A. ER -