2007
DOI: 10.1016/j.compbiolchem.2007.03.001
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A new protocol of analyzing isotope-coded affinity tag data from high-resolution LC–MS spectrometry

Abstract: Isotope-coded affinity tags (ICAT) is a labeling technique that provides insights into quantitative molecular changes. In this paper, we propose a new protocol to identify and analyze ICAT labeled peak pairs in high-resolution LC-MS data. Our major contributions are: (1) we use isotope distance constraint, ICAT distance constraint, and LC-span constraint to identify ICAT labeled peak pairs and (2) we propose to trigger tandem MS/MS scanning based on the ratio estimation value of identified ICAT peak pairs inst… Show more

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Cited by 5 publications
(1 citation statement)
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“…Labeled proteomic approaches enable the evaluation of a mixture of samples in one run which can later be identified by the presence of a unique label of the samples. Samples are typically labeled with radioisotopes via metabolic labeling, a process feasible only for cell cultures which was soon replaced by chemical modification of specific amino acids in intact proteins, such as an isotope-coded affinity tag [53], isotope-coded protein label [54] and the most advanced being the isobaric tags for relative and absolute quantitation (iTRAQ) [55]. Up to four samples can be compared with the reagents available for iTRAQ.…”
Section: Gel-free Proteomicsmentioning
confidence: 99%
“…Labeled proteomic approaches enable the evaluation of a mixture of samples in one run which can later be identified by the presence of a unique label of the samples. Samples are typically labeled with radioisotopes via metabolic labeling, a process feasible only for cell cultures which was soon replaced by chemical modification of specific amino acids in intact proteins, such as an isotope-coded affinity tag [53], isotope-coded protein label [54] and the most advanced being the isobaric tags for relative and absolute quantitation (iTRAQ) [55]. Up to four samples can be compared with the reagents available for iTRAQ.…”
Section: Gel-free Proteomicsmentioning
confidence: 99%