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The Application of SILAC Mouse in Human Body Fluid Proteomics Analysis Reveals Protein Patterns Associated with IgA Nephropathy
Body fluid proteome is the most informative proteome from a medical viewpoint. But the lack of accurate quantitation method for complicated body fluid limited its application in disease research and biomarker discovery. To address this problem, we introduced a novel strategy, in which SILAC-labeled...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3671237/ https://www.ncbi.nlm.nih.gov/pubmed/23762118 http://dx.doi.org/10.1155/2013/275390 |
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author | Zhao, Shilin Li, Rongxia Cai, Xiaofan Chen, Wanjia Li, Qingrun Xing, Tao Zhu, Wenjie Chen, Y. Eugene Zeng, Rong Deng, Yueyi |
author_facet | Zhao, Shilin Li, Rongxia Cai, Xiaofan Chen, Wanjia Li, Qingrun Xing, Tao Zhu, Wenjie Chen, Y. Eugene Zeng, Rong Deng, Yueyi |
author_sort | Zhao, Shilin |
collection | PubMed |
description | Body fluid proteome is the most informative proteome from a medical viewpoint. But the lack of accurate quantitation method for complicated body fluid limited its application in disease research and biomarker discovery. To address this problem, we introduced a novel strategy, in which SILAC-labeled mouse serum was used as internal standard for human serum and urine proteome analysis. The SILAC-labeled mouse serum was mixed with human serum and urine, and multidimensional separation coupled with tandem mass spectrometry (IEF-LC-MS/MS) analysis was performed. The shared peptides between two species were quantified by their SILAC pairs, and the human-only peptides were quantified by mouse peptides with coelution. The comparison for the results from two replicate experiments indicated the high repeatability of our strategy. Then the urine from Immunoglobulin A nephropathy patients treated and untreated was compared by this quantitation strategy. Fifty-three peptides were found to be significantly changed between two groups, including both known diagnostic markers for IgAN and novel candidates, such as Complement C3, Albumin, VDBP, ApoA,1 and IGFBP7. In conclusion, we have developed a practical and accurate quantitation strategy for comparison of complicated human body fluid proteome. The results from such strategy could provide potential disease-related biomarkers for evaluation of treatment. |
format | Online Article Text |
id | pubmed-3671237 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-36712372013-06-12 The Application of SILAC Mouse in Human Body Fluid Proteomics Analysis Reveals Protein Patterns Associated with IgA Nephropathy Zhao, Shilin Li, Rongxia Cai, Xiaofan Chen, Wanjia Li, Qingrun Xing, Tao Zhu, Wenjie Chen, Y. Eugene Zeng, Rong Deng, Yueyi Evid Based Complement Alternat Med Research Article Body fluid proteome is the most informative proteome from a medical viewpoint. But the lack of accurate quantitation method for complicated body fluid limited its application in disease research and biomarker discovery. To address this problem, we introduced a novel strategy, in which SILAC-labeled mouse serum was used as internal standard for human serum and urine proteome analysis. The SILAC-labeled mouse serum was mixed with human serum and urine, and multidimensional separation coupled with tandem mass spectrometry (IEF-LC-MS/MS) analysis was performed. The shared peptides between two species were quantified by their SILAC pairs, and the human-only peptides were quantified by mouse peptides with coelution. The comparison for the results from two replicate experiments indicated the high repeatability of our strategy. Then the urine from Immunoglobulin A nephropathy patients treated and untreated was compared by this quantitation strategy. Fifty-three peptides were found to be significantly changed between two groups, including both known diagnostic markers for IgAN and novel candidates, such as Complement C3, Albumin, VDBP, ApoA,1 and IGFBP7. In conclusion, we have developed a practical and accurate quantitation strategy for comparison of complicated human body fluid proteome. The results from such strategy could provide potential disease-related biomarkers for evaluation of treatment. Hindawi Publishing Corporation 2013 2013-05-15 /pmc/articles/PMC3671237/ /pubmed/23762118 http://dx.doi.org/10.1155/2013/275390 Text en Copyright © 2013 Shilin Zhao et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zhao, Shilin Li, Rongxia Cai, Xiaofan Chen, Wanjia Li, Qingrun Xing, Tao Zhu, Wenjie Chen, Y. Eugene Zeng, Rong Deng, Yueyi The Application of SILAC Mouse in Human Body Fluid Proteomics Analysis Reveals Protein Patterns Associated with IgA Nephropathy |
title | The Application of SILAC Mouse in Human Body Fluid Proteomics Analysis Reveals Protein Patterns Associated with IgA Nephropathy |
title_full | The Application of SILAC Mouse in Human Body Fluid Proteomics Analysis Reveals Protein Patterns Associated with IgA Nephropathy |
title_fullStr | The Application of SILAC Mouse in Human Body Fluid Proteomics Analysis Reveals Protein Patterns Associated with IgA Nephropathy |
title_full_unstemmed | The Application of SILAC Mouse in Human Body Fluid Proteomics Analysis Reveals Protein Patterns Associated with IgA Nephropathy |
title_short | The Application of SILAC Mouse in Human Body Fluid Proteomics Analysis Reveals Protein Patterns Associated with IgA Nephropathy |
title_sort | application of silac mouse in human body fluid proteomics analysis reveals protein patterns associated with iga nephropathy |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3671237/ https://www.ncbi.nlm.nih.gov/pubmed/23762118 http://dx.doi.org/10.1155/2013/275390 |
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