Literature DB >> 20124352

Sub-part-per-million precursor and product mass accuracy for high-throughput proteomics on an electron transfer dissociation-enabled orbitrap mass spectrometer.

Craig D Wenger1, Graeme C McAlister, Qiangwei Xia, Joshua J Coon.   

Abstract

We demonstrate a new approach for internal mass calibration on an electron transfer dissociation-enabled linear ion trap-orbitrap hybrid mass spectrometer. Fluoranthene cations, a byproduct of the reaction used for generation of electron transfer dissociation reagent anions, are co-injected with the analyte cations in all orbitrap mass analysis events. The fluoranthene cations serve as a robust internal calibrant with minimal impact on scan time (<20 ms) or spectral quality. Following external mass calibration, 60 replicate LC-MS/MS runs of a complex peptide mixture were collected over the course of approximately 136 h (almost 6 days). Using only standard external mass calibration, the mass accuracy for a typical analysis was -3.31 +/- 0.93 ppm (sigma) for precursors and -2.32 +/- 0.89 ppm for products. After application of internal recalibration, mass accuracy improved to +0.77 +/- 0.71 ppm for precursors and +0.17 +/- 0.67 ppm for products. When all 60 replicate runs were analyzed together without internal mass recalibration, the mass accuracy was -1.23 +/- 1.54 ppm for precursors and -0.18 +/- 1.42 ppm for products, nearly a 2-fold drop in precision relative to an individual run. After internal mass recalibration, this improved to +0.80 +/- 0.70 ppm for precursors and +0.16 +/- 0.67 ppm for products, roughly equivalent to that obtained in a single run, demonstrating a near complete elimination of mass calibration drift.

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Year:  2010        PMID: 20124352      PMCID: PMC2871411          DOI: 10.1074/mcp.M900541-MCP200

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  46 in total

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5.  De novo peptide sequencing using exhaustive enumeration of peptide composition.

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10.  Post-acquisition ETD spectral processing for increased peptide identifications.

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