A5083055670- MicroRNA in disease regulation
- Ethics in Clinical Research
- Scientific Computing and Data Management
- Research Data Management Practices
- Circular RNAs in diseases
- RNA Interference and Gene Delivery
- Electronic Health Records Systems
- RNA Research and Splicing
- Cancer-related molecular mechanisms research
- Clinical practice guidelines implementation
- Gene Regulatory Network Analysis
- Mesenchymal stem cell research
- Computational Drug Discovery Methods
- Bone Metabolism and Diseases
- Immunotherapy and Immune Responses
- Digital Imaging in Medicine
- Bioinformatics and Genomic Networks
Universitätsmedizin Greifswald
2021-2023
University of Rostock
2013-2022
MicroRNAs (miRNAs) are small non-coding RNA molecules acting as post-transcriptional regulators of gene expression. They involved in many biological processes, and their dysregulation is implicated various diseases, including multiple sclerosis (MS). Interferon-beta (IFN-beta) widely used a first-line immunomodulatory treatment MS patients. Here, we present the first longitudinal study on miRNA expression changes response to IFN-beta therapy. Peripheral blood mononuclear cells (PBMC) were...
Abstract MicroRNAs (miRNAs) have been reported to contribute the pathophysiology of multiple sclerosis (MS), an inflammatory disorder central nervous system. Here, we propose a new consensus-based strategy analyse and integrate miRNA gene expression data in MS as well other publically available gain deeper understanding role miRNAs overcome challenges posed by studies with limited patient sample sizes. We processed analysed microarray datasets compared genes blood patients controls. then...
Clinical trials are the gold standard for advancing medical knowledge and improving patient outcomes. For their success, an appropriately sized cohort is required. However, recruitment remains one of most challenging aspects clinical trials. Information technology (IT) support systems-for instance, systems-may help overcome existing challenges improve rates, when customized to user needs environment.The goal our study describe status quo processes identify requirements development a...
In the context of Medical Informatics Initiative, medical data integration centers (DICs) have implemented complex flows to transfer routine health care into research repositories for secondary use. Data management practices are importance throughout these processes, and special attention should be given provenance aspects. Insufficient knowledge can lead validity risks reduce confidence quality processed data. The need implement maintainable is undisputed, but there a great lack clarity on...
Abstract Background In the context of Medical Informatics Initiative funded by German government, medical data integration centers have implemented complex flows to load routine health care into research repositories for secondary use. Data management practices are importance throughout these processes, and special attention should be given provenance aspects. Additionally, insufficient knowledge about processes can lead validity risks weaken quality extracted data. The need collect during...
<sec> <title>BACKGROUND</title> In the context of Medical Informatics Initiative, medical data integration centers (DICs) have implemented complex flows to transfer routine health care into research repositories for secondary use. Data management practices are importance throughout these processes, and special attention should be given provenance aspects. Insufficient knowledge can lead validity risks reduce confidence quality processed data. The need implement maintainable is undisputed,...
MicroRNAs (miRNAs) and long non-coding RNAs (lncRNAs) are involved in the modulation of DNA-damage response (DDR) upon exposure to ionizing radiation (IR), their expression fluctuates. In this study, we propose a workflow that enables creation regulatory networks by integrating transcriptomics data as well order better understand interplay between genes, transcription factors (TFs), miRNAs, lncRNAs cellular IR. We preprocessed analyzed publicly available gene profiles then applied our...
<sec> <title>BACKGROUND</title> Clinical trials are the gold standard for advancing medical knowledge and improving patient outcomes. For their success, an appropriately sized cohort is required. However, recruitment remains one of most challenging aspects clinical trials. Information technology (IT) support systems—for instance, systems—may help overcome existing challenges improve rates, when customized to user needs environment. </sec> <title>OBJECTIVE</title> The goal our study describe...