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Proteomics profiling of urine with surface enhanced laser desorption/ionization time of flight mass spectrometry
BACKGROUND: Urine consists of a complex mixture of peptides and proteins and therefore is an interesting source of biomarkers. Because of its high throughput capacity SELDI-TOF-MS is a proteomics technology frequently used in biomarker studies. We compared the performance of seven SELDI protein chip...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2007
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1783644/ https://www.ncbi.nlm.nih.gov/pubmed/17224053 http://dx.doi.org/10.1186/1477-5956-5-2 |
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author | Roelofsen, Han Alvarez-Llamas, Gloria Schepers, Marianne Landman, Karloes Vonk, Roel J |
author_facet | Roelofsen, Han Alvarez-Llamas, Gloria Schepers, Marianne Landman, Karloes Vonk, Roel J |
author_sort | Roelofsen, Han |
collection | PubMed |
description | BACKGROUND: Urine consists of a complex mixture of peptides and proteins and therefore is an interesting source of biomarkers. Because of its high throughput capacity SELDI-TOF-MS is a proteomics technology frequently used in biomarker studies. We compared the performance of seven SELDI protein chip types for profiling of urine using standard chip protocols. RESULTS: Performance was assessed by determining the number of detectable peaks and spot to spot variation for the seven array types and two different matrices: SPA and CHCA. A urine sample taken from one healthy volunteer was applied in eight-fold for each chip type/matrix combination. Data were analyzed for total number of detected peaks (S/N > 5). Spot to spot variation was determined by calculating the average CV of peak intensities. In addition, an inventory was made of detectable peaks with each chip and matrix type. Also the redundancy in peaks detected with the different chip/matrix combinations was determined. A total of 425 peaks (136 non-redundant peaks) could be detected when combining the data from the seven chip types and the two matrices. Most peaks were detected with the CM10 chip with CHCA (57 peaks). The Q10 with CHCA (51 peaks), SEND (48 peaks) and CM10 with SPA (48 peaks) also performed well. The CM10 chip with CHCA also has the best reproducibility with an average CV for peak intensity of 13%. CONCLUSION: The combination of SEND, CM10 with CHCA, CM10 with SPA, IMAC-Cu with SPA and H50 with CHCA provides the optimal information from the urine sample with good reproducibility. With this combination a total of 217 peaks (71 non-redundant peaks) can be detected with CV's ranging from 13 to 26%, depending on the chip and matrix type. Overall, CM10 with CHCA is the best performing chip type. |
format | Text |
id | pubmed-1783644 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-17836442007-01-27 Proteomics profiling of urine with surface enhanced laser desorption/ionization time of flight mass spectrometry Roelofsen, Han Alvarez-Llamas, Gloria Schepers, Marianne Landman, Karloes Vonk, Roel J Proteome Sci Methodology BACKGROUND: Urine consists of a complex mixture of peptides and proteins and therefore is an interesting source of biomarkers. Because of its high throughput capacity SELDI-TOF-MS is a proteomics technology frequently used in biomarker studies. We compared the performance of seven SELDI protein chip types for profiling of urine using standard chip protocols. RESULTS: Performance was assessed by determining the number of detectable peaks and spot to spot variation for the seven array types and two different matrices: SPA and CHCA. A urine sample taken from one healthy volunteer was applied in eight-fold for each chip type/matrix combination. Data were analyzed for total number of detected peaks (S/N > 5). Spot to spot variation was determined by calculating the average CV of peak intensities. In addition, an inventory was made of detectable peaks with each chip and matrix type. Also the redundancy in peaks detected with the different chip/matrix combinations was determined. A total of 425 peaks (136 non-redundant peaks) could be detected when combining the data from the seven chip types and the two matrices. Most peaks were detected with the CM10 chip with CHCA (57 peaks). The Q10 with CHCA (51 peaks), SEND (48 peaks) and CM10 with SPA (48 peaks) also performed well. The CM10 chip with CHCA also has the best reproducibility with an average CV for peak intensity of 13%. CONCLUSION: The combination of SEND, CM10 with CHCA, CM10 with SPA, IMAC-Cu with SPA and H50 with CHCA provides the optimal information from the urine sample with good reproducibility. With this combination a total of 217 peaks (71 non-redundant peaks) can be detected with CV's ranging from 13 to 26%, depending on the chip and matrix type. Overall, CM10 with CHCA is the best performing chip type. BioMed Central 2007-01-15 /pmc/articles/PMC1783644/ /pubmed/17224053 http://dx.doi.org/10.1186/1477-5956-5-2 Text en Copyright © 2007 Roelofsen et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methodology Roelofsen, Han Alvarez-Llamas, Gloria Schepers, Marianne Landman, Karloes Vonk, Roel J Proteomics profiling of urine with surface enhanced laser desorption/ionization time of flight mass spectrometry |
title | Proteomics profiling of urine with surface enhanced laser desorption/ionization time of flight mass spectrometry |
title_full | Proteomics profiling of urine with surface enhanced laser desorption/ionization time of flight mass spectrometry |
title_fullStr | Proteomics profiling of urine with surface enhanced laser desorption/ionization time of flight mass spectrometry |
title_full_unstemmed | Proteomics profiling of urine with surface enhanced laser desorption/ionization time of flight mass spectrometry |
title_short | Proteomics profiling of urine with surface enhanced laser desorption/ionization time of flight mass spectrometry |
title_sort | proteomics profiling of urine with surface enhanced laser desorption/ionization time of flight mass spectrometry |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1783644/ https://www.ncbi.nlm.nih.gov/pubmed/17224053 http://dx.doi.org/10.1186/1477-5956-5-2 |
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