Literature DB >> 12216736

Increased proteome coverage for quantitative peptide abundance measurements based upon high performance separations and DREAMS FTICR mass spectrometry.

Ljiljana Pasa-Tolić1, Richard Harkewicz, Gordon A Anderson, Nikola Tolić, Yufeng Shen, Rui Zhao, Brian Thrall, Christophe Masselon, Richard D Smith.   

Abstract

A primary challenge in proteome measurements is to be able to detect, identify, and quantify the extremely complex mixtures of proteins. The relative abundances of interest span at least six orders of magnitude for mammalian proteomes, and this constitutes an intractable challenge for high throughput proteome studies. We have recently described a new approach, Dynamic Range Enhancement Applied to Mass Spectrometry (DREAMS), which is based upon the selective ejection of the most abundant species to expand the dynamic range of Fourier transform ion cyclotron resonanace (FTICR) measurements. The basis of our approach is on-the-fly data-dependent selective ejection of highly abundant species, followed by prolonged accumulation of remaining low-abundance species in a quadrupole external to the FTICR ion trap. Here we report the initial implementation of this approach with high efficiency capillary reverse phase LC separations and high magnetic field electrospray ionization FTICR mass spectrometry for obtaining enhanced coverage in quantitative measurements for mammalian proteomes. We describe the analysis of a sample derived from a tryptic digest of proteins from mouse B16 cells cultured in both natural isotopic abundance and 15N-labeled media. The FTICR mass spectrometric analysis allows the assignment of peptide pairs (corresponding to the two distinctive versions of each peptide), and thus provides the basis for quantiative measurements when one of the two proteomes in the mixture is perturbed or altered in some fashion. We show that implementation of the DREAMS approach allows assignment of approximately 80% more peptide pairs, thus providing quantitative information for approximately 18,000 peptide pairs in a single analysis.

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Year:  2002        PMID: 12216736     DOI: 10.1016/S1044-0305(02)00409-9

Source DB:  PubMed          Journal:  J Am Soc Mass Spectrom        ISSN: 1044-0305            Impact factor:   3.109


  36 in total

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Authors:  L Li; C D Masselon; G A Anderson; L Pasa-Tolić; S W Lee; Y Shen; R Zhao; M S Lipton; T P Conrads; N Tolić; R D Smith
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Authors:  Y Shen; N Tolić; R Zhao; L Pasa-Tolić; L Li; S J Berger; R Harkewicz; G A Anderson; M E Belov; R D Smith
Journal:  Anal Chem       Date:  2001-07-01       Impact factor: 6.986

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  9 in total

1.  An automated high performance capillary liquid chromatography-Fourier transform ion cyclotron resonance mass spectrometer for high-throughput proteomics.

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Journal:  J Am Soc Mass Spectrom       Date:  2004-02       Impact factor: 3.109

Review 2.  Advances in proteomics data analysis and display using an accurate mass and time tag approach.

Authors:  Jennifer S D Zimmer; Matthew E Monroe; Wei-Jun Qian; Richard D Smith
Journal:  Mass Spectrom Rev       Date:  2006 May-Jun       Impact factor: 10.946

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Journal:  J Am Soc Mass Spectrom       Date:  2006-01-18       Impact factor: 3.109

4.  Development of a high-throughput IMS-IMS-MS approach for analyzing mixtures of biomolecules.

Authors:  Ruwan T Kurulugama; Stephen J Valentine; Rena A Sowell; David E Clemmer
Journal:  J Proteomics       Date:  2008-06-25       Impact factor: 4.044

5.  Comparative proteome analyses of human plasma following in vivo lipopolysaccharide administration using multidimensional separations coupled with tandem mass spectrometry.

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6.  Status of complete proteome analysis by mass spectrometry: SILAC labeled yeast as a model system.

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7.  Current awareness on comparative and functional genomics.

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8.  Recent trends in mass spectrometer development.

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9.  Three-dimensional feature matching improves coverage for single-cell proteomics based on ion mobility filtering.

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Journal:  Cell Syst       Date:  2022-03-16       Impact factor: 11.091

  9 in total

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