The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
A perspective on the use of iTRAQTM reagent technology for protein complex and profiling studies
Open accessAbstract
Proteomic research includes the characterization of protein mixtures in order to understand complex biological systems and determine relationships between proteins, their function, and protein-protein interactions. Often the goal of such research is to monitor changes of proteins in perturbed systems, a type of study referred to as differential expression analysis. To perform these studies requires the ability to execute some type of differential comparison of a given protein state in reference to some type of a control. The iTRAQ reagents are a set of isobaric reagents which are amine specific and allow for the identification and quantitation of up to four different samples simultaneously. The amine specificity of these reagents makes most peptides in a sample amenable to this labeling strategy with no loss of information from samples involving post-translational modifications, such as the scrutiny of signal transduction pathways that often involve phosphorylation phenomena. In addition, the multiplexing capacity of these reagents allows for information replication within certain LC-MS/MS experimental regimes, providing additional statistical validation within any given experiment. The results presented herein demonstrate a few examples of the wide variety of quantitative information that can be realized when undertaking such experimental approaches. These include temporal analysis of drug-induced-protein expression, discovery and elucidation of disease markers, and protein-protein interactions in multi-protein complexes.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Functional organization of the yeast proteome by systematic analysis of protein complexes
Gavin, A.-C., Bösche, M., Krause, R., Grandi, P., Marzioch, M., Bauer, A., Schultz, J., Rick, J. M., Michon, A.-M., Cruciat, C.-M., et al. (2002) · Nature · doi:10.1038/415141a · Cited by 4,759
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 1×
“The most widely known is the ICAT (Isotope Coded Affinity Tags) approach developed by Reudi Aebersold and colleagues at the University of Washington, Seattle, in the late 1990s (Gygi et al., 1999), and later commercialized and developed into the cleavable ICATÒ Reagents by Applied Biosystems.”
MethodRoss, 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
Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry
Ho, Y., Gruhler, A., Heilbut, A., Bader, G. D., Moore, L., Adams, S.-L., Millar, A., Taylor, P., Bennett, K., Boutilier, K., et al. (2002) · Nature · doi:10.1038/415180a · Cited by 3,601
DeSouza, L., Diehl, G., Rodrigues, M. J., Guo, J., Romaschin, A. D., Colgan, T. J., & Siu, K. W. M. (2005) · Journal of Proteome Research · doi:10.1021/pr049821j · Cited by 362
Petti, F., Thelemann, A., Kahler, J., et al. (2005) · Molecular Cancer Therapeutics · doi:10.1158/1535-7163.mct-05-0114 · Cited by 44
Cited by
Ma, R., Sun, L., Chen, X., Mei, B., Chang, G., Wang, M., & Zhao, D. (2016) · Frontiers in Plant Science · doi:10.3389/fpls.2016.00001 · Cited by 1,503
A guided tour of the Trans‐Proteomic Pipeline
Deutsch, E. W., Mendoza, L., Shteynberg, D., Farrah, T., Lam, H., Tasman, N., Sun, Z., Nilsson, E., Pratt, B., Prazen, B., et al. (2010) · PROTEOMICS · doi:10.1002/pmic.200900375 · Cited by 745
Definitions of terms relating to mass spectrometry (IUPAC Recommendations 2013)
Murray, K. K., Boyd, R. K., Eberlin, M. N., Langley, G. J., Li, L., & Naito, Y. (2013) · Pure and Applied Chemistry · doi:10.1351/pac-rec-06-04-06 · Cited by 687
Proteomics: Challenges, Techniques and Possibilities to Overcome Biological Sample Complexity
Chandramouli, K., & Qian, P.-Y. (2009) · Human Genomics and Proteomics · doi:10.4061/2009/239204 · Cited by 511
Deutsch, E. W., Mendoza, L., Shteynberg, D., Slagel, J., Sun, Z., & Moritz, R. L. (2015) · PROTEOMICS – Clinical Applications · doi:10.1002/prca.201400164 · Cited by 342
Metadata
- Authors
- Zieske, L. R.
- Venue
- Journal of Experimental Botany
- Publisher
- Oxford University Press (OUP)
- Published
- 2006-03-21
- Volume
- 57
- Issue
- 7
- Pages
- 1501-1508
- ISSN
- 0022-0957 (ISSN-L)
- 1460-2431
- OpenAlex
- W2122460910
- Cited by
- 468
- References
- 7
- FWCI
- 12.72
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A perspective on the use of iTRAQTM reagent technology for protein complex and profiling studies. https://app.cochat.ai/papers/10.1093/jxb/erj168
- The paper
- Zieske, L. R. (2006). A perspective on the use of iTRAQTM reagent technology for protein complex and profiling studies. Journal of Experimental Botany. https://doi.org/10.1093/jxb/erj168
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.