0000000000450288

AUTHOR

Ruedi Aebersold

showing 8 related works from this author

An open-source computational and data resource to analyze digital maps of immunopeptidomes

2015

We present a novel mass spectrometry-based high-throughput workflow and an open-source computational and data resource to reproducibly identify and quantify HLA-associated peptides. Collectively, the resources support the generation of HLA allele-specific peptide assay libraries consisting of consensus fragment ion spectra, and the analysis of quantitative digital maps of HLA peptidomes generated from a range of biological sources by SWATH mass spectrometry (MS). This study represents the first community-based effort to develop a robust platform for the reproducible and quantitative measurement of the entire repertoire of peptides presented by HLA molecules, an essential step towards the de…

Databases FactualimmunopeptidomeQH301-705.5Systems biologyScienceImmunologyComputational biologyBiologyBioinformaticsMass spectrometryGeneral Biochemistry Genetics and Molecular BiologyMass Spectrometry03 medical and health sciencesResource (project management)Fragment (logic)HLA Antigenstargeted mass spectrometryHigh-Throughput Screening AssaysDIAhumanAntigenshuman leukocytes antigenBiology (General)030304 developmental biology0303 health sciencesAntigen PresentationGeneral Immunology and MicrobiologyDigital mappingGeneral Neuroscience030302 biochemistry & molecular biologyQRComputational BiologyGeneral Medicine3. Good healthTools and ResourcesHigh-Throughput Screening AssaysWorkflowTargeted mass spectrometrySWATH-MSMedicinePeptidesComputational and Systems BiologyeLife
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A multicenter study benchmarks software tools for label-free proteome quantification

2016

The consistent and accurate quantification of proteins by mass spectrometry (MS)-based proteomics depends on the performance of instruments, acquisition methods and data analysis software. In collaboration with the software developers, we evaluated OpenSWATH, SWATH2.0, Skyline, Spectronaut and DIA-Umpire, five of the most widely used software methods for processing data from SWATH-MS (sequential window acquisition of all theoretical fragment ion spectra), a method that uses data-independent acquisition (DIA) for label-free protein quantification. We analyzed high-complexity test datasets from hybrid proteome samples of defined quantitative composition acquired on two different MS instrument…

0301 basic medicineInternationalityProteomeComputer sciencemedia_common.quotation_subjectSoftware toolQuantitative proteomicsBiomedical EngineeringBioengineeringcomputer.software_genreBioinformaticsSensitivity and SpecificityApplied Microbiology and BiotechnologyArticleMass Spectrometry03 medical and health sciencesSoftwareQuality (business)media_commonLabel freeStaining and Labeling030102 biochemistry & molecular biologybusiness.industryReproducibility of ResultsBenchmarkingComputingMethodologies_PATTERNRECOGNITION030104 developmental biologyMulticenter studyProteomeBenchmark (computing)Molecular MedicineData miningbusinesscomputerAlgorithmsSoftwareBiotechnologyNature Biotechnology
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An essential switch in subunit composition of a chromatin remodeling complex during neural development.

2007

Summary Mammalian neural stem cells (NSCs) have the capacity to both self-renew and to generate all the neuronal and glial cell-types of the adult nervous system. Global chromatin changes accompany the transition from proliferating NSCs to committed neuronal lineages, but the mechanisms involved have been unclear. Using a proteomics approach, we show that a switch in subunit composition of neural, ATP-dependent SWI/SNF-like chromatin remodeling complexes accompanies this developmental transition. Proliferating neural stem and progenitor cells express complexes in which BAF45a, a Kruppel/PHD domain protein and the actin-related protein BAF53a are quantitatively associated with the SWI2/SNF2-…

Cellular differentiationProtein subunitNeuroscience(all)Molecular Sequence DataNeuroepithelial CellsDEVBIONerve Tissue ProteinsBiologyChromatin remodelingMOLNEUROEpigenesis Genetic03 medical and health sciencesMice0302 clinical medicineMultienzyme ComplexesAnimalsAmino Acid SequenceProgenitor cell030304 developmental biologyNeurons0303 health sciencesGeneral NeuroscienceMultipotent Stem CellsGene Expression Regulation DevelopmentalCell DifferentiationChromatin Assembly and DisassemblySTEMCELLNeural stem cellChromatinCell biologyNeuroepithelial cellProtein SubunitsNeural developmentNeuroglia030217 neurology & neurosurgeryTranscription FactorsNeuron
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TRIC: an automated alignment strategy for reproducible protein quantification in targeted proteomics

2016

Nature Methods, 13 (9)

Pluripotent Stem CellsProteomics0301 basic medicineAnalyteStreptococcus pyogenesSoftware toolQuantitative proteomicsProteomic analysisComputational biologyBiologyProteome informaticsProteomicsBioinformaticsBiochemistryArticleMass Spectrometry03 medical and health sciencesSequence Analysis ProteinProtein methodsHumansProtein PrecursorsHuman Induced Pluripotent Stem CellsMolecular BiologyElectronic Data ProcessingReproducibility of ResultsCell BiologyMass spectrometricTargeted proteomics030104 developmental biologyProteolysissense organsPeptidesSequence AlignmentAlgorithmsSoftwareBiotechnologyNature Methods
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Reproducible and Consistent Quantification of the Saccharomyces cerevisiae Proteome by SWATH-mass spectrometry *

2015

Targeted mass spectrometry by selected reaction monitoring (S/MRM) has proven to be a suitable technique for the consistent and reproducible quantification of proteins across multiple biological samples and a wide dynamic range. This performance profile is an important prerequisite for systems biology and biomedical research. However, the method is limited to the measurements of a few hundred peptides per LC-MS analysis. Recently, we introduced SWATH-MS, a combination of data independent acquisition and targeted data analysis that vastly extends the number of peptides/proteins quantified per sample, while maintaining the favorable performance profile of S/MRM. Here we applied the SWATH-MS t…

ProteomicsOsmosisSaccharomyces cerevisiae Proteins1303 BiochemistryOsmotic shockSaccharomyces cerevisiae610 Medicine & health10071 Functional Genomics Center ZurichSaccharomyces cerevisiaeOsmosisMass spectrometryBiochemistryMass SpectrometryAnalytical Chemistry1312 Molecular BiologyData-independent acquisitionMolecular Biology1602 Analytical ChemistryChromatographybiologySelected reaction monitoringTechnological Innovation and ResourcesReproducibility of Resultsbiology.organism_classificationTargeted mass spectrometryProteomeCarbohydrate Metabolism570 Life sciences; biologyPeptidesMolecular & Cellular Proteomics
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Author response: An open-source computational and data resource to analyze digital maps of immunopeptidomes

2015

Open sourceResource (project management)DatabaseDigital mappingComputer sciencecomputer.software_genrecomputer
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Building high-quality assay libraries for targeted analysis of SWATH MS data

2015

Targeted proteomics by selected/multiple reaction monitoring (S/MRM) or, on a larger scale, by SWATH (sequential window acquisition of all theoretical spectra) MS (mass spectrometry) typically relies on spectral reference libraries for peptide identification. Quality and coverage of these libraries are therefore of crucial importance for the performance of the methods. Here we present a detailed protocol that has been successfully used to build high-quality, extensive reference libraries supporting targeted proteomics by SWATH MS. We describe each step of the process, including data acquisition by discovery proteomics, assertion of peptide-spectrum matches (PSMs), generation of consensus sp…

ProteomicsSwath msComputer sciencemedia_common.quotation_subjectComputational biologyBioinformaticsProteomicsGeneral Biochemistry Genetics and Molecular BiologyIdentification (information)Targeted proteomicsPeptide LibraryTandem Mass SpectrometryCombinatorial Chemistry TechniquesQuality (business)media_commonNature Protocols
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TBVAC2020: Advancing Tuberculosis Vaccines from Discovery to Clinical Development

2017

International audience; TBVAC2020 is a research project supported by the Horizon 2020 program of the European Commission (EC). It aims at the discovery and development of novel tuberculosis (TB) vaccines from preclinical research projects to early clinical assessment. The project builds on previous collaborations from 1998 onwards funded through the EC framework programs FP5, FP6, and FP7. It has succeeded in attracting new partners from outstanding laboratories from all over the world, now totaling 40 institutions. Next to the development of novel vaccines, TB biomarker development is also considered an important asset to facilitate rational vaccine selection and development. In addition, …

TuberculosiImmunologybacille Calmette–Guérin610 Medicine & healthReview[SDV.MHEP.PSR]Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract[SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseasesTuberculosis; Bacille Calmette-Guérin; Vaccination; Biomarker; Clinical trial; Portfolio management; Discovery[SDV.BC.IC]Life Sciences [q-bio]/Cellular Biology/Cell Behavior [q-bio.CB]Immunology and AllergyBacille Calmette-Guérinbacille Calmette-Guérinbacille Calmette-Guerin2403 Immunology10179 Institute of Medical MicrobiologyBacille Calmette-Guérin; Biomarker; Clinical trial; Discovery; Portfolio management; Tuberculosis; Vaccination; Immunology and Allergy; Immunologyclinical trialvaccination[SDV.MP.BAC]Life Sciences [q-bio]/Microbiology and Parasitology/Bacteriology[SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human geneticstuberculosis2723 Immunology and Allergy570 Life sciences; biologybiomarkerportfolio managementdiscovery
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