<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Hooper CM</submitter><funding>Medical Research Council</funding><pagination>1202-1217</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC5863471</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>92(6)</volume><pubmed_abstract>Measuring changes in protein or organelle abundance in the cell is an essential, but challenging aspect of cell biology. Frequently-used methods for determining organelle abundance typically rely on detection of a very few marker proteins, so are unsatisfactory. In silico estimates of protein abundances from publicly available protein spectra can provide useful standard abundance values but contain only data from tissue proteomes, and are not coupled to organelle localization data. A new protein abundance score, the normalized protein abundance scale (NPAS), expands on the number of scored proteins and the scoring accuracy of lower-abundance proteins in Arabidopsis. NPAS was combined with subcellular protein localization data, facilitating quantitative estimations of organelle abundance du</pubmed_abstract><journal>The Plant journal : for cell and molecular biology</journal><pubmed_title>Multiple marker abundance profiling: combining selected reaction monitoring and data-dependent acquisition for rapid estimation of organelle abundance in subcellular samples.</pubmed_title><pmcid>PMC5863471</pmcid><funding_grant_id>MC_U105178783</funding_grant_id><pubmed_authors>Heazlewood JL</pubmed_authors><pubmed_authors>Hooper CM</pubmed_authors><pubmed_authors>Petzold CJ</pubmed_authors><pubmed_authors>Fabre B</pubmed_authors><pubmed_authors>Lilley KS</pubmed_authors><pubmed_authors>Parsons HT</pubmed_authors><pubmed_authors>Deery MJ</pubmed_authors><pubmed_authors>Saukkonen A</pubmed_authors><pubmed_authors>Millar AH</pubmed_authors><pubmed_authors>Castleden IR</pubmed_authors><pubmed_authors>Ito J</pubmed_authors><pubmed_authors>Singh P</pubmed_authors><pubmed_authors>Stevens TJ</pubmed_authors><pubmed_authors>Mann GW</pubmed_authors></additional><is_claimable>false</is_claimable><name>Multiple marker abundance profiling: combining selected reaction monitoring and data-dependent acquisition for rapid estimation of organelle abundance in subcellular samples.</name><description>Measuring changes in protein or organelle abundance in the cell is an essential, but challenging aspect of cell biology. Frequently-used methods for determining organelle abundance typically rely on detection of a very few marker proteins, so are unsatisfactory. In silico estimates of protein abundances from publicly available protein spectra can provide useful standard abundance values but contain only data from tissue proteomes, and are not coupled to organelle localization data. A new protein abundance score, the normalized protein abundance scale (NPAS), expands on the number of scored proteins and the scoring accuracy of lower-abundance proteins in Arabidopsis. NPAS was combined with subcellular protein localization data, facilitating quantitative estimations of organelle abundance du</description><dates><release>2017-01-01T00:00:00Z</release><publication>2017 Dec</publication><modification>2025-04-19T02:28:24.506Z</modification><creation>2019-03-26T23:20:37Z</creation></dates><accession>S-EPMC5863471</accession><cross_references><pubmed>29024340</pubmed><doi>10.1111/tpj.13743</doi></cross_references></HashMap>