License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.GCB.2013.56
URN: urn:nbn:de:0030-drops-42304
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2013/4230/
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Hildebrandt, Anna Katharina ; Althaus, Ernst ; Lenhof, Hans-Peter ; Hung, Chien-Wen ; Tholey, Andreas ; Hildebrandt, Andreas

Efficient Interpretation of Tandem Mass Tags in Top-Down Proteomics

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p056-hildebrandt.pdf (0.5 MB)

Abstract

Mass spectrometry is the major analytical tool for the identification and quantification of proteins in biological samples. In so-called top-down proteomics, separation and mass spectrometric analysis is performed at the level of intact proteins, without preparatory digestion steps. It has been shown that the tandem mass tag (TMT) labeling technology, which is often used for quantification based on digested proteins (bottom-up studies), can be applied in top-down proteomics as well. This, however, leads to a complex interpretation problem, where we need to annotate measured peaks with their respective generating protein, the number of charges, and the a priori unknown
number of TMT-groups attached to this protein.
In this work, we give an algorithm for the efficient enumeration of all valid
annotations that fulfill available experimental constraints. Applying the
algorithm to real-world data, we show that the annotation problem can indeed
be efficiently solved. However, our experiments also demonstrate that reliable
annotation in complex mixtures requires at least partial sequence information
and high mass accuracy and resolution to go beyond the proof-of-concept stage.

BibTeX - Entry

@InProceedings{hildebrandt_et_al:OASIcs:2013:4230,
  author =	{Anna Katharina Hildebrandt and Ernst Althaus and Hans-Peter Lenhof and Chien-Wen Hung and Andreas Tholey and Andreas Hildebrandt},
  title =	{{Efficient Interpretation of Tandem Mass Tags in Top-Down Proteomics}},
  booktitle =	{German Conference on Bioinformatics 2013},
  pages =	{56--67},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-59-0},
  ISSN =	{2190-6807},
  year =	{2013},
  volume =	{34},
  editor =	{Tim Bei{\ss}barth and Martin Kollmar and Andreas Leha and Burkhard Morgenstern and Anne-Kathrin Schultz and Stephan Waack and Edgar Wingender},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2013/4230},
  URN =		{urn:nbn:de:0030-drops-42304},
  doi =		{10.4230/OASIcs.GCB.2013.56},
  annote =	{Keywords: Mass spectrometry, TMT labeling, Top-down Proteomics}
}

Keywords: Mass spectrometry, TMT labeling, Top-down Proteomics
Collection: German Conference on Bioinformatics 2013
Issue Date: 2013
Date of publication: 09.09.2013

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