{"doi":"10.1002/pmic.201200451","title":"The challenge of the proteome dynamic range and its implications for in‐depth proteomics","abstract":"<jats:p>The dynamic range of the cellular proteome approaches seven orders of magnitude—from one copy per cell to ten million copies per cell. Since a proteome's abundance distribution represents a nearly symmetric bell‐shape curve on the logarithmic copy number scale, detection of half of the expressed cellular proteome, i.e. approximately 5000 proteins, should be a relatively straightforward task with modern mass spectrometric instrumentation that exhibits four orders of magnitude of the dynamic range, while deeper proteome analysis should be progressively more difficult. Indeed, metaanalysis of 15 recent papers that claim detection of &gt;5000 protein groups reveals that the half‐proteome analyses currently requires ≈5 h of chromatographic separation, while deeper analyses yield on average ≤20 new proteins per hour of chromatographic gradient. Therefore, a typical proteomics experiment consists of a “high‐content” part, with the detection rate of approximately 1000 proteins/h, and a “low‐content” tail with much lower rate of discovery and respectively, lower cost efficiency. This result calls for disruptive innovation in deep proteomics analysis.</jats:p>","journal":"PROTEOMICS","year":2013,"id":24922,"datarank":8.002382273909395,"base_score":5.438079308923196,"endowment":5.438079308923196,"self_citation_contribution":0.8157118963384794,"citation_network_contribution":7.186670377570915,"self_endowment_contribution":0.8157118963384794,"citer_contribution":7.186670377570915,"corpus_percentile":null,"corpus_rank":null,"citation_count":229,"citer_count":200,"citers_with_citation_signal":177,"citers_with_endowment":177,"datacite_reuse_total":6,"is_dataset":false,"is_dataset_confidence":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":148104,"name":"Roman A. Zubarev","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"base_score":5.438079308923196,"endowment":5.438079308923196,"datacite_reuse_total":6,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"23307342","pmcid":null,"openalex_id":"https://openalex.org/W2124137418","authors":[],"funders":[{"funder_name":"Knut and Alice Wallenberg Foundation","grant_id":"unidentified","title":"unidentified"},{"funder_name":"Knut and Alice Wallenberg Foundation","grant_id":"","title":null},{"funder_name":"VINNOVA Foundation","grant_id":"","title":null},{"funder_name":"Swedish research council","grant_id":"","title":null}],"total_grants":4,"fwci":9.3967,"citation_percentile":0.98919949,"influential_citations":3,"citation_trend":[{"year":2013,"count":3},{"year":2014,"count":25},{"year":2015,"count":19},{"year":2016,"count":8},{"year":2017,"count":16},{"year":2018,"count":21},{"year":2019,"count":10},{"year":2020,"count":12},{"year":2021,"count":24},{"year":2022,"count":21},{"year":2023,"count":16},{"year":2024,"count":22},{"year":2025,"count":24},{"year":2026,"count":7}],"oa_status":"bronze","license":"Wiley Online Library User Agreement","oa_locations":[{"url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/pmic.201200451","host_type":"journal"},{"url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/pmic.201200451","host_type":"CLOSED"},{"url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/pmic.201200451","host_type":"publisher"},{"url":"https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fpmic.201200451","host_type":"publisher"},{"url":"https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/pdf/10.1002/pmic.201200451","host_type":"publisher"},{"url":"https://doi.org/10.1002/pmic.201200451","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/23307342","host_type":"repository"},{"url":"https://dx.doi.org/10.1002/pmic.201200451","host_type":""},{"url":"https://publications-affiliated.scilifelab.se/publication/2bfc62bc2f2040adaec696dd2b2a803b","host_type":""}],"fields_of_study":["Advanced Proteomics Techniques and Applications","Genomics and Phylogenetic Studies","Gene expression and cancer classification","Medicine","Biology","Chemistry","0301 basic medicine","0303 health sciences","03 medical and health sciences","Biotechnology","Chromatography, Liquid","Peptide Mapping","Proteomics","Tandem Mass Spectrometry"],"mesh_terms":["Biotechnology","Chromatography, Liquid","Peptide Mapping","Proteomics","Tandem Mass Spectrometry"],"keywords":["Proteome","Proteomics","False discovery rate","Range (aeronautics)","Biology","Computational biology","Chromatography","Bioinformatics","Chemistry","Biochemistry","Materials science","Tandem Mass Spectrometry","Peptide Mapping","Biotechnology","Chromatography, Liquid"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Industry, innovation and infrastructure"}],"linked_datasets":[{"doi":"10.6084/m9.figshare.24572138.v1","title":"Additional file 2 of Comparison of in-gel and in-solution proteolysis in the proteome profiling of organ perfusion solutions","publisher":"figshare","resource_type":"JournalArticle"},{"doi":"10.6084/m9.figshare.24572138","title":"Additional file 2 of Comparison of in-gel and in-solution proteolysis in the proteome profiling of organ perfusion solutions","publisher":"figshare","resource_type":"JournalArticle"},{"doi":"10.6084/m9.figshare.26640307","title":"Additional file 3 of Comparison of in-gel and in-solution proteolysis in the proteome profiling of organ perfusion solutions","publisher":"figshare","resource_type":"Dataset"},{"doi":"10.6084/m9.figshare.26640307.v1","title":"Additional file 3 of Comparison of in-gel and in-solution proteolysis in the proteome profiling of organ perfusion solutions","publisher":"figshare","resource_type":"Dataset"},{"doi":"10.6084/m9.figshare.24571816","title":"Additional file 1 of Comparison of in-gel and in-solution proteolysis in the proteome profiling of organ perfusion solutions","publisher":"figshare","resource_type":"Dataset"},{"doi":"10.6084/m9.figshare.24571816.v1","title":"Additional file 1 of Comparison of in-gel and in-solution proteolysis in the proteome profiling of organ perfusion solutions","publisher":"figshare","resource_type":"Dataset"}],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-06-07T23:32:30.310671Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}