The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
i-Tracker: For quantitative proteomics using iTRAQ™
Open accessAbstract
Background: iTRAQ™ technology for protein quantitation using mass spectrometry is a recent, powerful means of determining relative protein levels in up to four samples simultaneously. Although protein identification of samples generated using iTRAQ may be carried out using any current identification software, the quantitation calculations have been restricted to the ProQuant software supplied by Applied Biosciences. i-Tracker software has been developed to extract reporter ion peak ratios from non-centroided tandem MS peak lists in a format easily linked to the results of protein identification tools such as Mascot and Sequest. Such functionality is currently not provided by ProQuant, which is restricted to matching quantitative information to the peptide identifications from Applied Biosciences' Interrogator™ software. Results: i-Tracker is shown to generate results that are consistent with those produced by ProQuant, thus validating both systems. Conclusion: i-Tracker allows quantitative information gained using the iTRAQ protocol to be linked with peptide identifications from popular tandem MS identification tools and hence is both a timely and useful tool for the proteomics community.
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Perkins, D. N., Pappin, D. J. C., Creasy, D. M., & Cottrell, J. S. (1999) · Electrophoresis · doi:10.1002/(sici)1522-2683(19991201)20:18<3551::aid-elps3551>3.0.co;2-2 · Cited by 8,203
Eng, J. K., McCormack, A. L., & Yates, J. R. (1994) · Journal of the American Society for Mass Spectrometry · doi:10.1016/1044-0305(94)80016-2 · Cited by 6,484
Ong, S.-E., Blagoev, B., Kratchmarova, I., Kristensen, D. B., Steen, H., Pandey, A., & Mann, M. (2002) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m200025-mcp200 · Cited by 5,574
Quantitative analysis of complex protein mixtures using isotope-coded affinity tags
Gygi, S. P., Rist, B., Gerber, S. A., Turecek, F., Gelb, M. H., & Aebersold, R. (1999) · Nature Biotechnology · doi:10.1038/13690 · Cited by 4,683 · cited 5×
“The principal advantage of iTRAQ over ICAT, SILAC and metabolic labelling is that four samples can be analyzed simultaneously, thereby reducing the amount of mass spectrometry time needed for analysis.”
BackgroundInfluentialRoss, P. L., Huang, Y. N., Marchese, J. N., Williamson, B., Parker, K., Hattan, S., Khainovski, N., Pillai, S., Dey, S., Daniels, S., et al. (2004) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m400129-mcp200 · Cited by 4,401
Mathematical Methods for Physics and Engineering
Riley, K. F., Hobson, M. P., & Bence, S. J. (2006) · Cambridge University Press eBooks · doi:10.1017/cbo9780511810763 · Cited by 923
Metabolic labeling of C. elegans and D. melanogaster for quantitative proteomics
Krijgsveld, J., Ketting, R. F., Mahmoudi, T., Johansen, J., Artal-Sanz, M., Verrijzer, C. P., Plasterk, R. H. A., & Heck, A. J. R. (2003) · Nature Biotechnology · doi:10.1038/nbt848 · Cited by 408
Localization of Organelle Proteins by Isotope Tagging (LOPIT)
Dunkley, T. P. J., Watson, R., Griffin, J. L., Dupree, P., & Lilley, K. S. (2004) · Molecular & Cellular Proteomics · doi:10.1074/mcp.t400009-mcp200 · Cited by 352
Self-citationExtractor for ESI quadrupole TOF tandem MS data enabled for high throughput batch processing
Boehm, A., Galvin, R. P., & Sickmann, A. (2004) · BMC Bioinformatics · doi:10.1186/1471-2105-5-162 · Cited by 28
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Dayon, L., Hainard, A., Licker, V., Turck, N., Kuhn, K., Hochstrasser, D. F., Burkhard, P. R., & Sanchez, J.-C. (2008) · Analytical Chemistry · doi:10.1021/ac702422x · Cited by 561
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Krug, K., Jaehnig, E. J., Satpathy, S., Blumenberg, L., Karpova, A., Anurag, M., Miles, G., Mertins, P., Geffen, Y., Tang, L. C., et al. (2020) · Cell · doi:10.1016/j.cell.2020.10.036 · Cited by 537
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Chen, C., Hou, J., Tanner, J. J., & Cheng, J. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21082873 · Cited by 280
Growth control of the eukaryote cell: a systems biology study in yeast
Castrillo, J. I., Zeef, L. A., Hoyle, D. C., Zhang, N., Hayes, A., Gardner, D. C., Cornell, M. J., Petty, J., Hakes, L., Wardleworth, L., et al. (2007) · Journal of Biology · doi:10.1186/jbiol54 · Cited by 263
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Metadata
- Authors
- Shadforth, I. P., Dunkley, T. P., Lilley, K. S., & Bessant, C.
- Venue
- BMC Genomics
- Published
- 2005-10-20
- Volume
- 6
- Issue
- 1
- Pages
- 145-145
- ISSN
- 1471-2164 (ISSN-L)
- OpenAlex
- W1583738858
- Cited by
- 281
- References
- 9
- FWCI
- 6.94
- Type
- journal article
- Language
- en
- Open access
- gold
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