{"entity": "publication", "iuid": "3478164a10094f95a596e7b91571cd67", "timestamp": "2026-08-22T06:56:50.284Z", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/3478164a10094f95a596e7b91571cd67.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/3478164a10094f95a596e7b91571cd67"}}, "title": "New Views of Old Proteins: Clarifying the Enigmatic Proteome.", "authors": [{"family": "Burnum-Johnson", "given": "Kristin E", "initials": "KE"}, {"family": "Conrads", "given": "Thomas P", "initials": "TP"}, {"family": "Drake", "given": "Richard R", "initials": "RR"}, {"family": "Herr", "given": "Amy E", "initials": "AE"}, {"family": "Iyengar", "given": "Ravi", "initials": "R"}, {"family": "Kelly", "given": "Ryan T", "initials": "RT"}, {"family": "Lundberg", "given": "Emma", "initials": "E"}, {"family": "MacCoss", "given": "Michael J", "initials": "MJ"}, {"family": "Naba", "given": "Alexandra", "initials": "A"}, {"family": "Nolan", "given": "Garry P", "initials": "GP"}, {"family": "Pevzner", "given": "Pavel A", "initials": "PA"}, {"family": "Rodland", "given": "Karin D", "initials": "KD"}, {"family": "Sechi", "given": "Salvatore", "initials": "S"}, {"family": "Slavov", "given": "Nikolai", "initials": "N"}, {"family": "Spraggins", "given": "Jeffrey M", "initials": "JM"}, {"family": "Van Eyk", "given": "Jennifer E", "initials": "JE"}, {"family": "Vidal", "given": "Marc", "initials": "M"}, {"family": "Vogel", "given": "Christine", "initials": "C"}, {"family": "Walt", "given": "David R", "initials": "DR"}, {"family": "Kelleher", "given": "Neil L", "initials": "NL"}], "type": "journal article", "published": "2022-07-00", "journal": {"title": "Mol. Cell Proteomics", "issn": "1535-9484", "volume": "21", "issue": "7", "pages": "100254", "issn-l": "1535-9476"}, "abstract": "All human diseases involve proteins, yet our current tools to characterize and quantify them are limited. To better elucidate proteins across space, time, and molecular composition, we provide a >10 years of projection for technologies to meet the challenges that protein biology presents. With a broad perspective, we discuss grand opportunities to transition the science of proteomics into a more propulsive enterprise. Extrapolating recent trends, we describe a next generation of approaches to define, quantify, and visualize the multiple dimensions of the proteome, thereby transforming our understanding and interactions with human disease in the coming decade.", "doi": "10.1016/j.mcpro.2022.100254", "pmid": "35654359", "labels": [], "xrefs": [{"db": "pmc", "key": "PMC9256833"}, {"db": "pii", "key": "S1535-9476(22)00062-7"}], "notes": [], "created": "2026-08-20T08:00:48.188Z", "modified": "2026-08-20T08:00:48.201Z"}