1997
DOI: 10.1007/s002160050148
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Selection of internal standards for quantitative analysis by matrix-assisted laser desorption-ionization (MALDI) time-of-flight mass spectrometry

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Cited by 45 publications
(49 citation statements)
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“…In the cases examined, the two peptides were of similar molecular mass (1385.56 versus 1046.48 Da) but of different composition. Several studies reported the use of structural analogues (8,22), derivatives (8,10,11,19), functional analogues (9), molecules of similar hydrophobicity (12), or isotopically labeled derivatives (5,6,8,11) of the analyte as internal standards. Some of these have indeed published calibration lines with quite small mean relative standard deviations (6,12).…”
Section: Examining the Correlation Between The Relative Signal Intensmentioning
confidence: 99%
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“…In the cases examined, the two peptides were of similar molecular mass (1385.56 versus 1046.48 Da) but of different composition. Several studies reported the use of structural analogues (8,22), derivatives (8,10,11,19), functional analogues (9), molecules of similar hydrophobicity (12), or isotopically labeled derivatives (5,6,8,11) of the analyte as internal standards. Some of these have indeed published calibration lines with quite small mean relative standard deviations (6,12).…”
Section: Examining the Correlation Between The Relative Signal Intensmentioning
confidence: 99%
“…A variety of stable isotope labeling methods have recently been developed for relative quantitation, including isotope-coded affinity tags (ICAT), isobaric tags for relative and absolute quantitation (iTRAQ), stable isotope labeling with amino acids in cell culture (SILAC) (35)(36)(37)(38)(39), 18 O (40 -42), and absolute quantitation of abundance (AQUA) (43). iTRAQ labeling is unique in this list because the differently labeled components yield the same nominal masses, and thus the quantitation can be accomplished only from MS/MS data.Another phenomenon hindering the use of MALDI for quantitative measurements is the suppression effect, which has also been discussed in a number of publications (19,29,30,32,33,44). Suppression can especially distort the data when complex biological samples are analyzed that contain thousands of components in a wide concentration range.…”
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confidence: 99%
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