A5063649866- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Cancer, Lipids, and Metabolism
- Circular RNAs in diseases
- Glutathione Transferases and Polymorphisms
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Hepatocellular Carcinoma Treatment and Prognosis
- Chronic Lymphocytic Leukemia Research
- Acute Myeloid Leukemia Research
- Invertebrate Immune Response Mechanisms
- CAR-T cell therapy research
- Advanced biosensing and bioanalysis techniques
- Advanced Proteomics Techniques and Applications
- Monoclonal and Polyclonal Antibodies Research
- Lymphoma Diagnosis and Treatment
- RNA Research and Splicing
- Advanced Biosensing Techniques and Applications
- Metabolomics and Mass Spectrometry Studies
- Epigenetics and DNA Methylation
- Liver physiology and pathology
- Colorectal Cancer Treatments and Studies
- Extracellular vesicles in disease
- Kruppel-like factors research
- Brain Metastases and Treatment
Universitätsmedizin Göttingen
2014-2022
AbbVie (Germany)
2020
University of Göttingen
2015-2017
The transcription factor Meis1 drives myeloid leukemogenesis in the context of Hox gene overexpression but is currently considered undruggable. We therefore investigated whether progenitor cells transformed by Hoxa9 and become addicted to targetable signaling pathways. A comprehensive (phospho)proteomic analysis revealed that increased Syk protein expression activity. upregulation occurs through a Meis1-dependent feedback loop. By dissecting this loop, we show direct target miR-146a, whose...
Breast cancer tumors are known to be highly heterogeneous and differences in their metabolic phenotypes, especially at protein level, less well-understood. Profiling of metabolism-related proteins harbors the potential establish new patient stratification regimes biomarkers promoting individualized therapy. In our study, we aimed examine relationship between metabolism-associated expression profiles clinicopathological characteristics a large cohort breast patients. specimens from 801...
To evaluate whether tumour-derived microvesicles (T-MV), originating from the plasma membrane, represent suitable cancer biomarkers, we isolated MV peripheral blood samples of patients with locally advanced and/or metastatic solid tumours (n = 330, including 79 head & neck cancers, 74 lung 41 breast 28 colorectal cancers and 108 other forms) controls 103). Whole preparations were characterised using flow cytometry. While carrying tumour-associated proteins MUC1, EGFR EpCAM found to be...
Abstract Mutations and activation of the PI3K signaling pathway in breast cancer cells have been linked to brain metastases. However, here we describe that some metastases samples protein expression components is restricted metastatic microenvironment. In contrast therapeutic effects inhibition on cells, reaction microenvironment less understood. Therefore aimed quantify activity metastasis investigate central nervous system (CNS) First, systematically metastases, performed a prospective...
Analysis of large-scale proteomic data sets requires specialized software tools, tailored toward the requirements individual approaches. Here we introduce an extension open-source solution for analyzing reverse phase protein array (RPPA) data. The R package RPPanalyzer was designed preprocessing followed by basic statistical analyses and visualization. In this update, merged relevant steps into a single user-friendly function included new method background noise correction as well methods...
Abstract Summary: Characterization of biological processes is progressively enabled with the increased generation omics data on different signaling levels. Here we present a straightforward approach for integrative analysis from high-throughput technologies based pathway and interaction models public databases. pwOmics performs pathway-based level-specific comparison coupled human proteomic genomic/transcriptomic datasets their log fold changes. Separate downstream upstream analyses results...
Breast cancer is the most common in women worldwide. The tumor microenvironment contributes to progression by inducing cell dissemination from primary and metastasis. TGF β signaling involved breast specifically elevated during metastatic transformation aggressive cancer. In this study, we performed genomewide correlation analysis of TGFBR 2 expression a panel 51 lines identified that MET coregulated with . This was confirmed at protein level human tissues. Flow cytometric luminal basal‐like...
Metastatic colorectal cancer (CRC) remains a leading cause of related deaths. Patients with oligometastatic liver disease represent clinical subgroup heterogeneous course. Until now, biomarkers to characterize outcome and therapeutic options have not been fully established.We investigated the prevalence FGFR alterations in total 140 primary tumors 63 metastases 55 CRC patients. FGF receptors (FGFR1-4) their ligands (FGF3, 4 19) were analyzed for gene amplifications rearrangements as well RNA...
Seventy percent of patients with colorectal cancer develop liver metastases (CRLM), which are a decisive factor in progression. Therapy outcome is largely influenced by tumor heterogeneity, but the intra- and inter-patient heterogeneity CRLM has been poorly studied. In particular, contribution WNT EGFR pathways, both frequently deregulated cancer, not yet addressed this context. To end, we comprehensively characterized normal tissue eight from two standardized histopathological, molecular,...
Triple negative breast cancer (TNBC) is the most aggressive subtype of (BC). Treatment options for TNBC patients are limited and further insights into disease aetiology needed to develop better therapeutic approaches. microRNAs' ability regulate multiple targets could hold a promising discovery approach pathways relevant aggressiveness. Thus, we address role miRNAs in controlling three signalling biology TNBC, their downstream phenotypes.To identify regulating WNT/β-catenin, c-Met, integrin...
Abstract Single-nucleus RNA sequencing (sNuc-RNAseq) is an emerging powerful genomics technology that combines droplet microfluidics with next-generation to interrogate transcriptome changes at single nucleus resolution. Here we developed Abacus, a flexible UMI counter software for sNuc-RNAseq analysis. Abacus draws extra information from reads mapped introns of pre-mRNAs (~60% total data) are ignored by many single-cell RNAseq analysis pipelines. When applied our pilot human brain data,...
Identification of dynamic signaling mechanisms on different cellular layers is now facilitated as the increased usage various high-throughput techniques goes along with decreasing costs for individual experiments. A lot these are known to be coordinated by their dynamics, turning time-course data sets into valuable information sources inference regulatory mechanisms. However, combined analysis parallel measurements from platforms still constitutes a major challenge requiring sophisticated...
Protein signaling networks are crucial cornerstones in cellular responses. Deregulation causes various diseases, including cancer. One pathway that is frequently deregulated cancer the WNT pathway. It has been shown highly context-dependent and availability of receptors ligands determines downstream signaling. In order to reveal which pathways activated by a specific receptor-ligand combination, we overexpressed non-canonical receptor ROR2 human breast cell line MCF-7 stimulated it with its...
Abstract B cell antigen receptors (BCR) control important fate decisions of the B-lineage including differentiation, proliferation and survival. Recently, it was demonstrated that beside chronic lymphocytic leukemia diffuse large lymphomas activated cell-type also major subgroups Burkitt (BL) critically depend on BCR expression. As intensive chemotherapy anti-CD20 antibodies are current treatment strategies, pharmacological interference with critical signaling pathways might open up...