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dc.contributor.authorHooper, CM
dc.contributor.authorStevens, TJ
dc.contributor.authorSaukkonen, A
dc.contributor.authorCastleden, IR
dc.contributor.authorSingh, P
dc.contributor.authorMann, GW
dc.contributor.authorFabre, B
dc.contributor.authorIto, J
dc.contributor.authorDeery, MJ
dc.contributor.authorLilley, KS
dc.contributor.authorPetzold, CJ
dc.contributor.authorMillar, AH
dc.contributor.authorHeazlewood, JL
dc.contributor.authorParsons, HT
dc.date.accessioned2020-12-21T04:07:33Z
dc.date.available2020-12-21T04:07:33Z
dc.date.issued2017-12-01
dc.identifier.citationHooper, C. M., Stevens, T. J., Saukkonen, A., Castleden, I. R., Singh, P., Mann, G. W., Fabre, B., Ito, J., Deery, M. J., Lilley, K. S., Petzold, C. J., Millar, A. H., Heazlewood, J. L. & Parsons, H. T. (2017). Multiple marker abundance profiling: combining selected reaction monitoring and data-dependent acquisition for rapid estimation of organelle abundance in subcellular samples. PLANT JOURNAL, 92 (6), pp.1202-1217. https://doi.org/10.1111/tpj.13743.
dc.identifier.issn0960-7412
dc.identifier.urihttp://hdl.handle.net/11343/257492
dc.description.abstractMeasuring 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 during routine experimental procedures. A suite of targeted proteomics markers for subcellular compartment markers was developed, enabling independent verification of in silico estimates for relative organelle abundance. Estimation of relative organelle abundance was found to be reproducible and consistent over a range of tissues and growth conditions. In silico abundance estimations and localization data have been combined into an online tool, multiple marker abundance profiling, available in the SUBA4 toolbox (http://suba.live).
dc.languageEnglish
dc.publisherWILEY
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.titleMultiple marker abundance profiling: combining selected reaction monitoring and data-dependent acquisition for rapid estimation of organelle abundance in subcellular samples
dc.typeJournal Article
dc.identifier.doi10.1111/tpj.13743
melbourne.affiliation.departmentSchool of BioSciences
melbourne.source.titleThe Plant Journal
melbourne.source.volume92
melbourne.source.issue6
melbourne.source.pages1202-1217
melbourne.identifier.arcFT130101165
dc.rights.licenseCC BY
melbourne.elementsid1270504
melbourne.contributor.authorHeazlewood, Joshua
dc.identifier.eissn1365-313X
melbourne.identifier.fundernameidAUST RESEARCH COUNCIL, FT130101165
melbourne.accessrightsOpen Access


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