2007
DOI: 10.1002/pmic.200600791
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15N‐Metabolic labeling for comparative plasma membrane proteomics in Arabidopsis cells

Abstract: An important goal for proteomic studies is the global comparison of proteomes from different genotypes, tissues, or physiological conditions. This has so far been mostly achieved by densitometric comparison of spot intensities after protein separation by 2-DE. However, the physicochemical properties of membrane proteins preclude the use of 2-DE. Here, we describe the use of in vivo labeling by the stable isotope 15N as an alternative approach for comparative membrane proteomic studies in plant cells. We confir… Show more

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Cited by 67 publications
(47 citation statements)
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“…Lanquar et al [25] undertook an approach to identify changes in the abundance of plasma membrane proteins in response to Cd 2+ treatment by in vivo labelling Arabidopsis suspension cells with 15 N. They identified 25 proteins, 10 corresponding to plasma membrane transporters.…”
Section: Introductionmentioning
confidence: 99%
“…Lanquar et al [25] undertook an approach to identify changes in the abundance of plasma membrane proteins in response to Cd 2+ treatment by in vivo labelling Arabidopsis suspension cells with 15 N. They identified 25 proteins, 10 corresponding to plasma membrane transporters.…”
Section: Introductionmentioning
confidence: 99%
“…Unfortunately, neither REF4 nor RFR1 has been identified in any of the proteomic studies performed to date (e.g., Alexandersson et al 2004;Marmagne et al 2004;Dunkley et al 2006;Morel et al 2006;Hartman et al 2007;Heazlewood et al 2007;Lanquar et al 2007;Mitra et al 2007). The Aramemnon database for plant membrane spanning proteins (Schwacke et al 2003) annotates REF4 and its homologs as having between 10 to 12 transmembrane regions (TMRs), although for any individual protein, less than half of these score above a cutoff score of 0.5.…”
Section: à9mentioning
confidence: 99%
“…Since then, other labs have described similar labeling methods on various small organisms and cell lines (e.g., Deinococcus radiodurans and mouse B16 melanoma cells [3], Arabidopsis thaliana cells [4], and Rhodopseudomonas palustris [5], see also Section 2.2). This type of metabolic labeling in cell lines or small organisms poses high demands on software algorithms for automated quantification.…”
Section: G a L L E Y P R O O Fmentioning
confidence: 99%