The human genome contains about 3 billion letters in almost every one of the 100 trillion cells. Techniques in biomedical research and molecular diagnostics enable to read out and analyze this sequence of letters, to identify errors and thus the cause of certain diseases, and to treat them in a targeted manner.
Bioinformatics- a fascinating, but also challenging field has developed rapidly in the last decades and continues to do so. Bioinformatics deals not only with genomic sequencing data, but also with molecular structures, enzymatic activities, medical and pharmacological statistics, to name just a few topics. Analyzing biological sequences plys an important role in natural sciences, especially in molecular diagnostics, precision medicine, and personalized medicine.
The Next Generation Sequencing (NGS) technology produces large amounts of data of the (human) genome, epigenome and associated transcriptome, the analysis and interpretation of which is a growing challenge. It is important to create a functional and resilient interface between natural scientists and computer scientists. The volumes of data generated in the decoding of human, animal or plant genomes, for example, must be processed and correlated in order to make them useful.
Recently, the institute has a new laboratory for molecular cell biology. Here cells can be cultivated as well as DNA, RNA and proteins can be isolated, modified, measured and detected. This laboratory is used as a teaching laboratory in current courses in bioinformatics. Current scientific work is also carried out in this laboratory.
Transcriptional regulation in malignant melanoma
In general, transcripton factors are proteins that bind specific DNA sequences and represent the primary regulators of gene expression at the transcriptonal level. Dysregulaton of such factors often leads to an impaired expression of specific target genes, resulting in altered function and the development of a malignant phenotype. During the development and progression of malignant melanoma the activating protein-1 (AP-1) transcription factor family plays a key role. Our working group aims to elucidate the molecular mechanisms of AP-1 transcription factors that promote the development of a malignant phenotype by analyzing corresponding RNA-Seq and ChIP- Seq data. This research focus is performed in cooperation with the Institute of Biochemistry of the FAU Erlangen Nuremberg (AG Bosserhoff).
The establishment of 3D-printed cell models represents an important topic in the field of cancer research to be able to mimic the in vivo situation of cancer cells in vitro. Using analysis of RNA-Seq data generated from these cell models, we ask basic scientific questions about the origin of quiescent tumor cells and cellular differentiation and what changes in gene expression underlie these cellular effects. This research focus is performed in cooperation with the Institute of Biochemistry of the FAU Erlangen Nuremberg (AG Bosserhoff).
Bioinformatics
University of Erlangen- Nuremberg
Institute for Biochemistry
Research Group: Biochemistry und Molecular Medicine
email: anja.bosserhoff@fau.de
Fahrstraße 17
D-91054 Erlangen
c/o Universitätsklinikum Regensburg
RCI Regensburger Centrum für Interventionelle Immunologie
Research Group: Mononuclear Phagocytes & Epigenetics of Cell Differentiation Lab
email: michael.rehli@ukr.de
Franz-Josef-Strauß-Allee 11
D-93053 Regensburg
University Medical Center Ulm
Institute of Pathology
email: ed.mlu-kinilkinu@dlefneiram.flar
89070 Ulm
Fraunhofer Institute for Translational Medicine and Pharmacology ITMP
Immunology, Infection and Pandemic Research IIP
Türkenstraße 87
80799 Munich
email: Wieser@mvp.lmu.de, Susanna.Oswald@itmp.fraunhofer.de, Alexander.Stolz@itmp.fraunhofer.de
BioVariance GmbH
email: josef.scheiber@biovariance.com
Konnersreuther Sr. 6g
95652 Waldsassen
SYNLAB MVZ Weiden GmbH
email:Ralph.Fingerhut@synlab.com
Zur Kesselschmiede 4
92637 Weiden
Perlasberger Straße 41
94469 Deggendorf
Perlasberger Straße 1
94469 Deggendorf
Perlasberger Straße 41
94469 Deggendorf