A5034370005- vaccines and immunoinformatics approaches
- Advanced Biosensing Techniques and Applications
- Cancer Genomics and Diagnostics
- Cancer Immunotherapy and Biomarkers
- Immunotherapy and Immune Responses
- Genomic variations and chromosomal abnormalities
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Computational Drug Discovery Methods
- S100 Proteins and Annexins
- Metabolomics and Mass Spectrometry Studies
- Cancer-related molecular mechanisms research
- Click Chemistry and Applications
- Antimicrobial Peptides and Activities
- Gene expression and cancer classification
- Protein Degradation and Inhibitors
- Bioinformatics and Genomic Networks
- Protein purification and stability
- Peptidase Inhibition and Analysis
- Diabetes Management and Research
- Pancreatic function and diabetes
- Neuroinflammation and Neurodegeneration Mechanisms
- Caveolin-1 and cellular processes
- Diabetes and associated disorders
- Glioma Diagnosis and Treatment
ETH Zurich
2016-2023
University of Zurich
2018
TU Dresden
2013-2015
Deutsches Diabetes-Zentrum e.V.
2013
Paul Langerhans Institute Dresden
2013
German Center for Diabetes Research
2013
Heinrich Heine University Düsseldorf
2013
Cancer is mostly incurable when diagnosed at a metastatic stage, making its early detection via blood proteins of immense clinical interest. Proteomic changes in tumor tissue may lead to detectable the protein composition circulating plasma. Using proteomic workflow combining N-glycosite enrichment and SWATH mass spectrometry, we generate data resource 284 samples derived from patients with different types localized-stage carcinomas matched controls. We observe whether patient's plasma are...
Studies on pancreatic cell physiology rely the investigation of exocrine and endocrine cells in vitro. Particularly, case tissue these studies have suffered from a reduced functional viability acinar culture. As result not only investigations dispersed isolated acini were limited their potential, but also prolonged an intact environment unfeasible. To overcome limitations, we aimed to establish pancreas slice culture platform allow long-term environment. Mouse morphology was assessed...
Astrocytomas are the most common primary brain tumors distinguished into four histological grades. Molecular analyses of individual astrocytoma grades have revealed detailed insights genetic, transcriptomic and epigenetic alterations. This provides an excellent basis to identify similarities differences between We utilized public omics data all focusing on pilocytic astrocytomas (PA I), diffuse (AS II), anaplastic III) glioblastomas (GBM IV) using well-established bioinformatics systems...
The National Cancer Institute (NCI) Clinical Proteomic Tumor Analysis Consortium (CPTAC) established a harmonized method for large-scale clinical proteomic studies. SWATH-MS, an instance of data-independent acquisition (DIA) methods, is alternate approach. In this study, we used SWATH-MS to analyze remnant peptides from the original retrospective TCGA samples generated CPTAC ovarian cancer proteogenomic study. results recapitulated confident identification differentially expressed proteins...
Abstract Purpose: Despite high clinical need, there are no biomarkers that accurately predict the response of patients with metastatic melanoma to anti-PD-1 therapy. Experimental Design: In this multicenter study, we applied protein depletion and enrichment methods prior various proteomic techniques analyze a serum discovery cohort (n = 56) three independent validation cohorts 80, n 12, 17). Further analyses by literature survival analysis followed. Results: We identified several...
Changes in gene expression programs play a central role cancer. Chromosomal aberrations such as deletions, duplications and translocations of DNA segments can lead to highly significant positive correlations levels neighboring genes. This should be utilized improve the analysis tumor profiles. Here, we develop novel model class autoregressive higher-order Hidden Markov Models (HMMs) that carefully exploit local data-dependent chromosomal dependencies identification differentially expressed...
It has proven exceedingly difficult to ascertain rare copy number alterations (CNAs) that may have strong effects in individual tumors. We show a regulatory network inferred from gene expression and data of 768 human cancer cell lines can be used quantify the impact patient-specific CNAs on survival signature genes. A focused analysis tumors six tissues reveals often stronger genes than frequent CNAs. Further comparison related network-based approach shows integration indirectly acting...
Summary The National Cancer Institute (NCI) Clinical Proteomic Tumor Analysis Consortium (CPTAC) has established a two-dimensional liquid chromatography-tandem mass spectrometry (2DLC-MS/MS) workflow using isobaric tagging to compare protein abundance across samples. been used for large-scale clinical proteomic studies with deep coverage within and outside of CPTAC. SWATH-MS, an instance data-independent acquisition (DIA) methods, was recently developed as alternate approach. In this study,...
<p>Differentially expressed proteins (DEPs) and functional annotation of NR proteomes based on GO term classification.</p>
<p>Primary melanoma tumor cells of NR display a distinctive immunophenotype.</p>
<p>Differentially expressed proteins (DEPs) and functional annotation of NR proteomes based on GO term classification.</p>
<div>AbstractPurpose:<p>Despite high clinical need, there are no biomarkers that accurately predict the response of patients with metastatic melanoma to anti-PD-1 therapy.</p>Experimental Design:<p>In this multicenter study, we applied protein depletion and enrichment methods prior various proteomic techniques analyze a serum discovery cohort (<i>n</i> = 56) three independent validation cohorts 80, <i>n</i> 12, 17). Further analyses by...
<p>Enlarged proteomaps results for the tumor cell lysate dataset.</p>
<p>TME of melanoma NR represents a potential target for therapy.</p>
<div>AbstractPurpose:<p>Despite high clinical need, there are no biomarkers that accurately predict the response of patients with metastatic melanoma to anti-PD-1 therapy.</p>Experimental Design:<p>In this multicenter study, we applied protein depletion and enrichment methods prior various proteomic techniques analyze a serum discovery cohort (<i>n</i> = 56) three independent validation cohorts 80, <i>n</i> 12, 17). Further analyses by...