<HashMap><database>panorama</database><scores><citationCount>0</citationCount><reanalysisCount>0</reanalysisCount><viewCount>0</viewCount><searchCount>0</searchCount></scores><additional><omics_type>Proteomics</omics_type><submitter>Danielle Faivre</submitter><species>Homo Sapiens</species><full_dataset_link>https://panoramaweb.org/Single_Molecule_Counting.url</full_dataset_link><submitter_email>dfaivre@uw.edu</submitter_email><submitter_affiliation>University of Washington</submitter_affiliation><sample_protocol></sample_protocol><repository>PanoramaPublic</repository><data_protocol></data_protocol><pubmed_title>Sampling the proteome by emerging single-molecule and mass spectrometry methods.</pubmed_title><pubmed_authors>MacCoss Michael J MJ, Alfaro Javier Antonio JA, Faivre Danielle A DA, Wu Christine C CC, Wanunu Meni M, Slavov Nikolai N</pubmed_authors><description_synonyms>liquid chromatography tandem mass spectroscopy, Procedures, Peptidomics, Ass-1, P62, FBN, Gene, protein, neutral molecular compounds, sci, broad, protein-containing complex, LC-MS-MS, Techniques, Messenger, ECTOL1, Method, AA408052, LC-MSMS, Gene Products, Studies, fold, HOW, How, Cell., protein aggregate, molecule, Non Polyadenylated, Technique, WMS, l(3)j5D5, molecula, 24B, Multicase, molecules, LCMSMS, l(3)s2612, Academic, Polyadenylated Messenger, stru, messenger RNA, Molekuel, l(3)S053606, procedures, CG10293, OCTD, ASS, Study, l(3)j5B5, template RNA, Methodological Studies, DmelCG10293, associated, GPHYSD2, SGS, LC-MS2, close to, RNA, 0904/17, wide/broad, Polyadenylated, protein complex, clone 2.39, Proteins, Liquid Chromatography, LC-MS/MS, Messenger RNA, total expressed protein, qkr, Procedure, l(3)S090417, Cell, ACMICD, near to, LC/MS/MS, Review Literature, native protein, SZ1, Poly(A)+ mRNA, KH93F, Protein, INSDC_feature:mRNA, MFS1, Polyadenylated RNA, techniques, WMS2, who, Polyadenylated Messenger RNA, Poly(A)+ RNA, Non Polyadenylated mRNA, protein_coding_transcript, mRNA, Poly(A) Tail, Review, Non-Polyadenylated, MASS, Who/How, Methodological, Methodological Study, Non-Polyadenylated mRNA, Protein Gene Products, Gene Proteins, wide, liquid chromatography-tandem mass spectroscopy, approaches, SSKS, vicinity of, qkr[93F], liquid chromatography tandem mass spectrometry, anon-EST:Liang-2.39, Review of Reported Cases, Polyadenylated mRNA, Poly(A) RNA, Proteomes, methodology</description_synonyms><pubmed_title_synonyms>Mass Spectrum Analysis, Mass Spectrum, molecules, Procedures, Analyses, Spectrometry, total expressed protein, Molekuel, Methodological, procedures, neutral molecular compounds, Spectrum Analyses, Procedure, Methodological Study, Spectrum Analysis, Spectroscopy, Study, Techniques, sample collection, MS, sampling, Methodological Studies, Method, Mass, Studies, Analysis, techniques, methodology., Proteomes, molecule, Technique, Mass Spectrum Analyses, Mass Spectroscopy, molecula</pubmed_title_synonyms><name_synonyms>molecules, Procedures, total expressed protein, FBN, Molekuel, MASS, Methodological, procedures, neutral molecular compounds, Procedure, Methodological Study, ACMICD, OCTD, Study, Techniques, sample collection, sampling, Methodological Studies, ECTOL1, Method, SSKS, Studies, MFS1, techniques, methodology., GPHYSD2, Proteomes, molecule, Technique, WMS, WMS2, SGS, molecula</name_synonyms><citation_count>0</citation_count></additional><is_claimable>false</is_claimable><name>Sampling the proteome by emerging single-molecule and mass-spectrometry based methods</name><description>Mammalian cells have about 25,000-fold more protein molecules than mRNA molecules. This larger number of molecules and the associated larger dynamic range have major implications in the application of proteomics technologies. We examine these implications for both liquid chromatography-tandem mass-spectrometry (LC-MS/MS) and single-molecule counting and provide estimates on how many molecules are routinely measured in proteomics experiments by LC-MS/MS. We review strategies that have been helpful for counting billions of protein molecules by LC-MS/MS and suggest that these strategies can benefit single-molecule methods, especially in mitigating the challenges of the wide dynamic range of the proteome. We also examine the theoretical possibilities for scaling up single-molecule and mass-spectrometry proteomics approaches to quantifying the billions of protein molecules that make up the proteomes of our cells.</description><dates><publication>Thu Mar 30 00:00:00 GMT+01:00 2023</publication></dates><accession>PXD035637</accession><cross_references><TAXONOMY>9606</TAXONOMY><pubmed>36899164</pubmed></cross_references></HashMap>