A5061643235- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Metabolomics and Mass Spectrometry Studies
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- Enzyme Structure and Function
- Microbial Metabolic Engineering and Bioproduction
- Machine Learning in Bioinformatics
- Tuberculosis Research and Epidemiology
- Advanced Biosensing Techniques and Applications
- Genomics and Phylogenetic Studies
- Mitochondrial Function and Pathology
- Bacterial Genetics and Biotechnology
- Evolution and Genetic Dynamics
- Mycobacterium research and diagnosis
- Viral Infectious Diseases and Gene Expression in Insects
- Pancreatic and Hepatic Oncology Research
- Esophageal Cancer Research and Treatment
- Computational Drug Discovery Methods
- Studies on Chitinases and Chitosanases
- Peptidase Inhibition and Analysis
- Bacteriophages and microbial interactions
- Autophagy in Disease and Therapy
- Chronic Lymphocytic Leukemia Research
- Calcium signaling and nucleotide metabolism
Queen's University Belfast
2019-2025
Murdoch Children's Research Institute
2023-2025
ETH Zurich
2013-2024
Boehringer Ingelheim (Germany)
2024
University College Dublin
2007-2012
Trinity College Dublin
2011
Quantitative proteomics employing mass spectrometry is an indispensable tool in life science research. Targeted has emerged as a powerful approach for reproducible quantification but limited the number of proteins quantified. SWATH-mass consists data-independent acquisition and targeted data analysis strategy that aims to maintain favorable quantitative characteristics (accuracy, sensitivity, selectivity) at large scale. While previous studies have shown high intra-lab reproducibility, this...
Abstract Mass spectrometry is the method of choice for deep and reliable exploration (human) proteome. Targeted mass reliably detects quantifies pre-determined sets proteins in a complex biological matrix used studies that rely on quantitatively accurate reproducible measurement across multiple samples. It requires one-time, priori generation specific assay each targeted protein. SWATH-MS spectrometric combines data-independent acquisition (DIA) data analysis vastly extends throughput can be...
Article4 February 2015Open Access Quantitative variability of 342 plasma proteins in a human twin population Yansheng Liu Corresponding Author Department Biology, Institute Molecular Systems ETH Zurich, Switzerland Search for more papers by this author Alfonso Buil Genetic Medicine and Development, University Geneva Medical School, Geneva, Ben C Collins Ludovic CJ Gillet Lorenz Blum Lin-Yang Cheng Statistics Computer Science, Purdue University, West Lafayette, IN, USA Olga Vitek Jeppe...
The identification of biomarkers indicating the level aggressiveness prostate cancer (PCa) will address urgent clinical need to minimize general overtreatment patients with non-aggressive PCa, who account for majority PCa cases. Here, we isolated formerly N-linked glycopeptides from normal (n = 10) and 24), aggressive 16), metastatic 25) tumor tissues analyzed samples using SWATH mass spectrometry, an emerging data-independent acquisition method that generates a single file containing...
Article14 January 2019Open Access Transparent process Complex-centric proteome profiling by SEC-SWATH-MS Moritz Heusel Department of Biology, Institute Molecular Systems ETH Zurich, Switzerland PhD Program in and Translational Biomedicine the Competence Center Personalized Medicine UZH/ETH, Search for more papers this author Isabell Bludau orcid.org/0000-0002-2601-238X Life Science Zurich Graduate School, University George Rosenberger orcid.org/0000-0002-1655-6789 Robin Hafen Computer...
To a large extent functional diversity in cells is achieved by the expansion of molecular complexity beyond that coding genome. Various processes create multiple distinct but related proteins per gene - so-called proteoforms expand capacity cell. Evaluating from classical bottom-up proteomics datasets, where peptides instead intact are measured, has remained difficult. Here we present COPF, tool for COrrelation-based ProteoForm assessment data. It leverages concept peptide correlation...
Accurate knowledge of retention time (RT) in liquid chromatography-based mass spectrometry data facilitates peptide identification, quantification, and multiplexing targeted discovery-based workflows. Retention prediction is particularly important for analysis emerging data-independent acquisition (DIA) experiments such as SWATH-MS. The indexed RT approach, iRT, uses synthetic spiked-in standards (SiRT) to set a unit-less scale, allowing normalization between different samples...