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An Automated Multidimensional Protein Identification Technology for Shotgun Proteomics

Wolters, Dirk A., Washburn, Michael P., Yates, John R.·2001·Analytical Chemistry

Abstract

We describe an automated method for shotgun proteomics named multidimensional protein identification technology (MudPIT), which combines multidimensional liquid chromatography with electrospray ionization tandem mass spectrometry. The multidimensional liquid chromatography method integrates a strong cation-exchange (SCX) resin and reversed-phase resin in a biphasic column. We detail the improvements over a system described by Link et al. (Link, A. J.; Eng, J.; Schieltz, D. M.; Carmack, E.; Mize, G. J.; Morris, D. R.; Garvik, B. M.; Yates, J. R., III. Nat. Biotechnol. 1999, 17, 676-682) that separates and acquires tandem mass spectra for thousands of peptides. Peptides elute off the SCX phase by increasing pI, and elution off the SCX material is evenly distributed across an analysis. In addition, we describe the chromatographic benchmarks of MudPIT. MudPIT was reproducible within 0.5% between two analyses. Furthermore, a dynamic range of 10000 to 1 between the most abundant and least abundant proteins/peptides in a complex peptide mixture has been demonstrated. By improving sample preparation along with separations, the method improves the overall analysis of proteomes by identifying proteins of all functional and physical classes.

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Metadata

Authors
Wolters, D. A., Washburn, M. P., & Yates, J. R.
Venue
Analytical Chemistry
Published
2001-10-25
Volume
73
Issue
23
Pages
5683-5690
ISSN
  • 0003-2700 (ISSN-L)
  • 1520-6882
OpenAlex
W1970696723
Cited by
1,819
References
0
FWCI
45.34
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: An Automated Multidimensional Protein Identification Technology for Shotgun Proteomics. https://app.cochat.ai/papers/10.1021/ac010617e
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Wolters, D. A., Washburn, M. P., & Yates, J. R. (2001). An Automated Multidimensional Protein Identification Technology for Shotgun Proteomics. Analytical Chemistry. https://doi.org/10.1021/ac010617e

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