GOAT--a simple LC-MS/MS gradient optimization tool.
Modern nano-HPLC systems are capable of extremely precise control of solvent gradients, allowing high-resolution separation of peptides. Most proteomics laboratories use a simple linear analytical gradient for nano-LC-MS/MS experiments, though recent evidence indicates that optimized non-linear grad...
| Main Authors: | , , , , |
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| Format: | Journal article |
| Language: | English |
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Wiley
2014
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| _version_ | 1826261963846451200 |
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| author | Trudgian, D Fischer, R Guo, X Kessler, B Mirzaei, H |
| author_facet | Trudgian, D Fischer, R Guo, X Kessler, B Mirzaei, H |
| author_sort | Trudgian, D |
| collection | OXFORD |
| description | Modern nano-HPLC systems are capable of extremely precise control of solvent gradients, allowing high-resolution separation of peptides. Most proteomics laboratories use a simple linear analytical gradient for nano-LC-MS/MS experiments, though recent evidence indicates that optimized non-linear gradients result in increased peptide and protein identifications from cell lysates. In concurrent work, we examined non-linear gradients for the analysis of samples fractionated at the peptide level, where the distribution of peptide retention times often varies by fraction. We hypothesized that greater coverage of these samples could be achieved using per-fraction optimized gradients. We demonstrate that the optimized gradients improve the distribution of peptides throughout the analysis. Using previous generation MS instrumentation, a considerable gain in peptide and protein identifications can be realized. With current MS platforms that have faster electronics and achieve shorter duty cycle, the improvement in identifications is smaller. Our gradient optimization method has been implemented in a simple graphical tool (GOAT) that is MS-vendor independent, does not require peptide ID input, and is freely available for non-commercial use at http://proteomics.swmed.edu/goat/ |
| first_indexed | 2024-03-06T19:28:51Z |
| format | Journal article |
| id | oxford-uuid:1cbfef60-9345-4b2a-ae9a-d4ab17aeebbf |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T19:28:51Z |
| publishDate | 2014 |
| publisher | Wiley |
| record_format | dspace |
| spelling | oxford-uuid:1cbfef60-9345-4b2a-ae9a-d4ab17aeebbf2022-03-26T11:07:10ZGOAT--a simple LC-MS/MS gradient optimization tool.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:1cbfef60-9345-4b2a-ae9a-d4ab17aeebbfEnglishSymplectic Elements at OxfordWiley2014Trudgian, DFischer, RGuo, XKessler, BMirzaei, HModern nano-HPLC systems are capable of extremely precise control of solvent gradients, allowing high-resolution separation of peptides. Most proteomics laboratories use a simple linear analytical gradient for nano-LC-MS/MS experiments, though recent evidence indicates that optimized non-linear gradients result in increased peptide and protein identifications from cell lysates. In concurrent work, we examined non-linear gradients for the analysis of samples fractionated at the peptide level, where the distribution of peptide retention times often varies by fraction. We hypothesized that greater coverage of these samples could be achieved using per-fraction optimized gradients. We demonstrate that the optimized gradients improve the distribution of peptides throughout the analysis. Using previous generation MS instrumentation, a considerable gain in peptide and protein identifications can be realized. With current MS platforms that have faster electronics and achieve shorter duty cycle, the improvement in identifications is smaller. Our gradient optimization method has been implemented in a simple graphical tool (GOAT) that is MS-vendor independent, does not require peptide ID input, and is freely available for non-commercial use at http://proteomics.swmed.edu/goat/ |
| spellingShingle | Trudgian, D Fischer, R Guo, X Kessler, B Mirzaei, H GOAT--a simple LC-MS/MS gradient optimization tool. |
| title | GOAT--a simple LC-MS/MS gradient optimization tool. |
| title_full | GOAT--a simple LC-MS/MS gradient optimization tool. |
| title_fullStr | GOAT--a simple LC-MS/MS gradient optimization tool. |
| title_full_unstemmed | GOAT--a simple LC-MS/MS gradient optimization tool. |
| title_short | GOAT--a simple LC-MS/MS gradient optimization tool. |
| title_sort | goat a simple lc ms ms gradient optimization tool |
| work_keys_str_mv | AT trudgiand goatasimplelcmsmsgradientoptimizationtool AT fischerr goatasimplelcmsmsgradientoptimizationtool AT guox goatasimplelcmsmsgradientoptimizationtool AT kesslerb goatasimplelcmsmsgradientoptimizationtool AT mirzaeih goatasimplelcmsmsgradientoptimizationtool |