IDEAS home Printed from https://ideas.repec.org/p/qsh/wpaper/346466.html
   My bibliography  Save this paper

MultiNotch MS3 Enables Accurate, Sensitive, and Multiplexed Detection of Differential Expression across Cancer Cell Line Proteomes

Author

Listed:
  • McAlister, G. C.
  • Nusinow, D. P.
  • Jedrychowski, M. P.
  • Wu?hr, M.
  • Huttlin, E. L.
  • Erickson, B. K.
  • Rad, R.
  • Haas, W.
  • Gygi, S. P.

Abstract

Multiplexed quantitation via isobaric chemical tags (e.g., tandem mass tags (TMT) and isobaric tags for relative and absolute quantitation (iTRAQ)) has the potential to revolutionize quantitative proteomics. However, until recently the utility of these tags was questionable due to reporter ion ratio distortion resulting from fragmentation of coisolated interfering species. These interfering signals can be negated through additional gas-phase manipulations (e.g., MS/MS/MS (MS3) and proton-transfer reactions (PTR)). These methods, however, have a significant sensitivity penalty. Using isolation waveforms with multiple frequency notches (i.e., synchronous precursor selection, SPS), we coisolated and cofragmented multiple MS2 fragment ions, thereby increasing the number of reporter ions in the MS3 spectrum 10-fold over the standard MS3 method (i.e., MultiNotch MS3). By increasing the reporter ion signals, this method improves the dynamic range of reporter ion quantitation, reduces reporter ion signal variance, and ultimately produces more high-quality quantitative measurements. To demonstrate utility, we analyzed biological triplicates of eight colon cancer cell lines using the MultiNotch MS3 method. Across all the replicates we quantified 8 378 proteins in union and 6 168 proteins in common. Taking into account that each of these quantified proteins contains eight distinct cell-line measurements, this data set encompasses 174 704 quantitative ratios each measured in triplicate across the biological replicates. Herein, we demonstrate that the MultiNotch MS3 method uniquely combines multiplexing capacity with quantitative sensitivity and accuracy, drastically increasing the informational value obtainable from proteomic experiments.

Suggested Citation

  • McAlister, G. C. & Nusinow, D. P. & Jedrychowski, M. P. & Wu?hr, M. & Huttlin, E. L. & Erickson, B. K. & Rad, R. & Haas, W. & Gygi, S. P., "undated". "MultiNotch MS3 Enables Accurate, Sensitive, and Multiplexed Detection of Differential Expression across Cancer Cell Line Proteomes," Working Paper 346466, Harvard University OpenScholar.
  • Handle: RePEc:qsh:wpaper:346466
    as

    Download full text from publisher

    File URL: http://scholar.harvard.edu/martin_wuehr/node/346466
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Oliver M Crook & Aikaterini Geladaki & Daniel J H Nightingale & Owen L Vennard & Kathryn S Lilley & Laurent Gatto & Paul D W Kirk, 2020. "A semi-supervised Bayesian approach for simultaneous protein sub-cellular localisation assignment and novelty detection," PLOS Computational Biology, Public Library of Science, vol. 16(11), pages 1-21, November.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:qsh:wpaper:346466. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Richard Brandon (email available below). General contact details of provider: https://edirc.repec.org/data/cbrssus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.