title: Compositional Dynamics: Defining the Fuzzy Cell.
abstract: Proteomic studies find many proteins in unexpected cellular locations. Can functional components of organelles be distinguished from biochemical artefacts or misguided cellular sorting? The clue might reside in compositional changes that follow biological challenges and that can be decoded by machine learning.
authors.affiliation: Wellcome Trust Centre for Cell Biology, University of Edinburgh, Edinburgh EH9 3BF, UK.
authors.forename: Georg
authors.initials: G
authors.lastname: Kustatscher
authors.affiliation: Wellcome Trust Centre for Cell Biology, University of Edinburgh, Edinburgh EH9 3BF, UK; Chair of Bioanalytics, Institute of Biotechnology, Technische Universität Berlin, 13355 Berlin, Germany. Electronic address: Juri.Rappsilber@ed.ac.uk.
authors.forename: Juri
authors.initials: J
authors.lastname: Rappsilber
mesh_terms: D000818:Animals; D002451:Cell Compartmentation; D002477:Cells / Q000378:metabolism*; D006801:Humans; D015388:Organelles / Q000378:metabolism; D011506:Proteins / Q000378:metabolism*
chemical_list: D011506:Proteins
keywords: cellular map; gene ontology; machine learning; organelle proteomics