The DOI matches its Crossref record; 99 of the 99 references it cites were found in a registry or an index.
Advances in Urinary Proteome Analysis and Biomarker Discovery
Abstract
Noninvasive diagnosis of kidney diseases and assessment of the prognosis are still challenges in clinical nephrology. Definition of biomarkers on the basis of proteome analysis, especially of the urine, has advanced recently and may provide new tools to solve those challenges. This article highlights the most promising technological approaches toward deciphering the human proteome and applications of the knowledge in clinical nephrology, with emphasis on the urinary proteome. The data in the current literature indicate that although a thorough investigation of the entire urinary proteome is still a distant goal, clinical applications are already available. Progress in the analysis of human proteome in health and disease will depend more on the standardization of data and availability of suitable bioinformatics and software solutions than on new technological advances. It is predicted that proteomics will play an important role in clinical nephrology in the very near future and that this progress will require interactive dialogue and collaboration between clinicians and analytical specialists.
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Cites
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“Absolute quantification usually requires previous identification of the biomarker sequence and/or chemical derivation that consequently may become restrictive (19).”
Background
Cited by
Stenvinkel, P., Carrero, J. J. A. A., Axelsson, J., Lindholm, B., Heimbu[Combining Diaeresis]rger, O., & Massy, Z. (2008) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.03670807 · Cited by 561
Practical Points in Urinary Proteomics
Thongboonkerd, V. (2007) · Journal of Proteome Research · doi:10.1021/pr070328s · Cited by 208
Self-citationMischak, H., Coon, J. J., Novak, J., Weissinger, E. M., Schanstra, J. P., & Dominiczak, A. F. (2009) · Mass Spectrometry Reviews · doi:10.1002/mas.20205 · Cited by 193
Self-citationUrine proteomics identifies biomarkers for diabetic kidney disease at different stages
Fan, G., Gong, T., Lin, Y., Wang, J., Sun, L., Wei, H., Yang, X., Liu, Z., Li, X., Zhao, L., et al. (2021) · Clinical Proteomics · doi:10.1186/s12014-021-09338-6 · Cited by 38
Metadata
- Authors
- Fliser, D., Novak, J., Thongboonkerd, V., Argile[Combining Acute Accent]s, A. G. A., Jankowski, V., Girolami, M. A., Jankowski, J., & Mischak, H.
- Venue
- Journal of the American Society of Nephrology
- Published
- 2007-04
- Volume
- 18
- Issue
- 4
- Pages
- 1057-1071
- ISSN
- 1046-6673 (ISSN-L)
- OpenAlex
- W2115498556
- Cited by
- 286
- References
- 99
- FWCI
- 15.25
- Type
- journal article
- Language
- en
- Open access
- closed
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- Fliser, D., Novak, J., Thongboonkerd, V., Argile[Combining Acute Accent]s, A. G. A., Jankowski, V., Girolami, M. A., Jankowski, J., & Mischak, H. (2007). Advances in Urinary Proteome Analysis and Biomarker Discovery. Journal of the American Society of Nephrology. https://doi.org/10.1681/asn.2006090956
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