2015
DOI: 10.1007/s13361-014-1073-y
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Quantifying Reversible Oxidation of Protein Thiols in Photosynthetic Organisms

Abstract: Abstract. Photosynthetic organisms use dynamic post-translational modifications to survive and adapt, which include reversible oxidative modifications of protein thiols that regulate protein structure, function, and activity. Efforts to quantify thiol modifications on a global scale have relied upon peptide derivatization, typically using isobaric tags such as TMT, ICAT, or iTRAQ that are more expensive, less accurate, and provide less proteome coverage than label-free approaches-suggesting the need for improv… Show more

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Cited by 27 publications
(23 citation statements)
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References 44 publications
(57 reference statements)
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“…Following ZipTip clean‐up, peptides were dried down and resuspended in 20 μl of 0.1% TFA, 5% MeCN before separation via a 90‐min linear gradient from 95% H 2 O/5% MeCN/0.1% formic acid (FA) to 65% H 2 O/35% MeCN/0.1% FA via a NanoAcquity UPLC (Waters) using a C18 column (NanoAcquity UPLC 1.8 μm HSS T3, 75 ×250 mm). A TripleTOF 5600 (AB Sciex, Framingham, MA, USA) Q‐TOF was operated in positive‐ionization nanoelectrospray and high‐sensitivity mode for data acquisition as described previously (Slade et al ., ). In addition to the Supporting Information tables for MS datasets, the mass spectrometry proteomics data have been deposited to the ProteomeXChange Consortium via PRIDE partner repository(Vizcaíno et al ., ) identifier PXD007221.…”
Section: Methodsmentioning
confidence: 97%
“…Following ZipTip clean‐up, peptides were dried down and resuspended in 20 μl of 0.1% TFA, 5% MeCN before separation via a 90‐min linear gradient from 95% H 2 O/5% MeCN/0.1% formic acid (FA) to 65% H 2 O/35% MeCN/0.1% FA via a NanoAcquity UPLC (Waters) using a C18 column (NanoAcquity UPLC 1.8 μm HSS T3, 75 ×250 mm). A TripleTOF 5600 (AB Sciex, Framingham, MA, USA) Q‐TOF was operated in positive‐ionization nanoelectrospray and high‐sensitivity mode for data acquisition as described previously (Slade et al ., ). In addition to the Supporting Information tables for MS datasets, the mass spectrometry proteomics data have been deposited to the ProteomeXChange Consortium via PRIDE partner repository(Vizcaíno et al ., ) identifier PXD007221.…”
Section: Methodsmentioning
confidence: 97%
“…Col-0 and top1top2 mutants). Proteins were extracted using a Tris-buffered phenol method described in Slade et al (2015). Briefly, leaf tissue (0.2 g) was ground under liquid N to a fine powder before homogenization in 2 mL of buffer containing 50 mM Tris (pH 8), 1 mM EDTA, 0.9 M sucrose, protease inhibitors (EDTA-free; Roche), and 100 mM IAM before adding SDS to a 1% (v/v) final concentration.…”
Section: Protein Extractionmentioning
confidence: 99%
“…Mass spectrometry has a great potential to allow the systematic exploration of the plant redoxome. Several recent studies report proteome-wide mining of hydrogen peroxide (H 2 O 2 )-sensitive cysteines in several plant species (Alvarez et al, 2011;Wang et al, 2012b;Muthuramalingam et al, 2013;Liu et al, 2014;Slade et al, 2015), and collectively, highlight the broad impacts of ROS on plant proteomes. However, the composition of the plant redoxome in response to plantproduced ROS, the identity of redox sensors, and their contribution to plant defense and adaptive pathways remain largely unknown.…”
mentioning
confidence: 99%
“…Other plant protein modifications that have been identified by MS but rarely catalogued include cysteine oxidation and proteolytic processing. Oxidized cysteine sites have been detected in Arabidopsis and Chlamydomonas reinhardtii , following differential labeling of oxidized and reduced thiols (Liu et al, 2014, Slade et al, 2015). Proteolytically processed sites have been detected in Arabidopsis by enrichment of newly exposed protein N-termini via positional proteomics (Kleifeld et al, 2010, Venne et al, 2015), identifying substrates of the protease METACASPASE9 (Tsiatsiani et al, 2013), processing associated with chloroplast protein import (Köhler et al, 2015, Rowland et al, 2015) and N-end rule substrates (Zhang et al, 2015, 2018).…”
Section: Introductionmentioning
confidence: 99%