2015
DOI: 10.1021/acs.analchem.5b01727
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Nonisotopic Reagents for a Cost-Effective Increase in Sample Throughput of Targeted Quantitative Proteomics

Abstract: The new technology of ultrathroughput MS (uMS) transforms the intrinsic capability of analyte multiplexing in mass spectrometry (MS) to sample multiplexing. Core technological advantages of uMS rely on the decoupled use of isotopic quantitation reference and nonisotopic mass coding of samples. These advantages include: (1) high sample-throughput potential, (2) utilization of minimal amounts of expensive stable isotopes for the quantitation reference, and (3) unleashing of the open-source exploration of the che… Show more

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Cited by 10 publications
(8 citation statements)
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“…Each resulting peptide was derivatized with a designer aliphatic residue (G, A, V, L, or I) at the N-terminus. The derivatization efficiency was quantified as the percentage of chemical conversion (PCC) of the model peptide SVILLGR, as previously described . An isotopic counterpart peptide, SVIL­[L– 13 C 6 15 N]­GR (SVI*), with a known concentration was used as the quantitation reference.…”
Section: Results and Discussionmentioning
confidence: 99%
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“…Each resulting peptide was derivatized with a designer aliphatic residue (G, A, V, L, or I) at the N-terminus. The derivatization efficiency was quantified as the percentage of chemical conversion (PCC) of the model peptide SVILLGR, as previously described . An isotopic counterpart peptide, SVIL­[L– 13 C 6 15 N]­GR (SVI*), with a known concentration was used as the quantitation reference.…”
Section: Results and Discussionmentioning
confidence: 99%
“…The Fmoc-AA-OSu reagents expanded the collection of nonisotopic reagents for multiplexing samples in a single analysis using ultrathroughput MS (uMS) (Text S3). The commercial availability of Fmoc-AA-OSu reagents makes them immediately adaptable for implementing uMS workflows similar to that of uMRM MS. , …”
Section: Results and Discussionmentioning
confidence: 99%
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“…However, one of the main challenges that has restricted the application of general MRM-MS analysis is the low sample-throughput, which failed to proceed with efficient quantification and verification of biomarkers due to large numbers of biological samples . Therefore, high sample-throughput MRM-MS techniques are in urgent need.…”
Section: Introductionmentioning
confidence: 99%
“…In our previous work, we combined mTRAQ for absolute quantification and iTRAQ for relative quantification and have increased the throughput of MRM-MS to four samples in a single run . Recently, Yao and co-workers developed a new MRM-MS approach using nonisotopic reagent labeling that has expanded the throughput up to 15 samples . However, in this multiplexing experiment, target peptides were labeled by 15 nonisotopic reagents with different peaks in a chromatogram.…”
Section: Introductionmentioning
confidence: 99%