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A high-throughput de novo sequencing approach for shotgun proteomics using high-resolution tandem mass spectrometry
BACKGROUND: High-resolution tandem mass spectra can now be readily acquired with hybrid instruments, such as LTQ-Orbitrap and LTQ-FT, in high-throughput shotgun proteomics workflows. The improved spectral quality enables more accurate de novo sequencing for identification of post-translational modif...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2838866/ https://www.ncbi.nlm.nih.gov/pubmed/20205730 http://dx.doi.org/10.1186/1471-2105-11-118 |
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author | Pan, Chongle Park, Byung H McDonald, William H Carey, Patricia A Banfield, Jillian F VerBerkmoes, Nathan C Hettich, Robert L Samatova, Nagiza F |
author_facet | Pan, Chongle Park, Byung H McDonald, William H Carey, Patricia A Banfield, Jillian F VerBerkmoes, Nathan C Hettich, Robert L Samatova, Nagiza F |
author_sort | Pan, Chongle |
collection | PubMed |
description | BACKGROUND: High-resolution tandem mass spectra can now be readily acquired with hybrid instruments, such as LTQ-Orbitrap and LTQ-FT, in high-throughput shotgun proteomics workflows. The improved spectral quality enables more accurate de novo sequencing for identification of post-translational modifications and amino acid polymorphisms. RESULTS: In this study, a new de novo sequencing algorithm, called Vonode, has been developed specifically for analysis of such high-resolution tandem mass spectra. To fully exploit the high mass accuracy of these spectra, a unique scoring system is proposed to evaluate sequence tags based primarily on mass accuracy information of fragment ions. Consensus sequence tags were inferred for 11,422 spectra with an average peptide length of 5.5 residues from a total of 40,297 input spectra acquired in a 24-hour proteomics measurement of Rhodopseudomonas palustris. The accuracy of inferred consensus sequence tags was 84%. According to our comparison, the performance of Vonode was shown to be superior to the PepNovo v2.0 algorithm, in terms of the number of de novo sequenced spectra and the sequencing accuracy. CONCLUSIONS: Here, we improved de novo sequencing performance by developing a new algorithm specifically for high-resolution tandem mass spectral data. The Vonode algorithm is freely available for download at http://compbio.ornl.gov/Vonode. |
format | Text |
id | pubmed-2838866 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-28388662010-03-16 A high-throughput de novo sequencing approach for shotgun proteomics using high-resolution tandem mass spectrometry Pan, Chongle Park, Byung H McDonald, William H Carey, Patricia A Banfield, Jillian F VerBerkmoes, Nathan C Hettich, Robert L Samatova, Nagiza F BMC Bioinformatics Research article BACKGROUND: High-resolution tandem mass spectra can now be readily acquired with hybrid instruments, such as LTQ-Orbitrap and LTQ-FT, in high-throughput shotgun proteomics workflows. The improved spectral quality enables more accurate de novo sequencing for identification of post-translational modifications and amino acid polymorphisms. RESULTS: In this study, a new de novo sequencing algorithm, called Vonode, has been developed specifically for analysis of such high-resolution tandem mass spectra. To fully exploit the high mass accuracy of these spectra, a unique scoring system is proposed to evaluate sequence tags based primarily on mass accuracy information of fragment ions. Consensus sequence tags were inferred for 11,422 spectra with an average peptide length of 5.5 residues from a total of 40,297 input spectra acquired in a 24-hour proteomics measurement of Rhodopseudomonas palustris. The accuracy of inferred consensus sequence tags was 84%. According to our comparison, the performance of Vonode was shown to be superior to the PepNovo v2.0 algorithm, in terms of the number of de novo sequenced spectra and the sequencing accuracy. CONCLUSIONS: Here, we improved de novo sequencing performance by developing a new algorithm specifically for high-resolution tandem mass spectral data. The Vonode algorithm is freely available for download at http://compbio.ornl.gov/Vonode. BioMed Central 2010-03-05 /pmc/articles/PMC2838866/ /pubmed/20205730 http://dx.doi.org/10.1186/1471-2105-11-118 Text en Copyright ©2010 Pan 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 | Research article Pan, Chongle Park, Byung H McDonald, William H Carey, Patricia A Banfield, Jillian F VerBerkmoes, Nathan C Hettich, Robert L Samatova, Nagiza F A high-throughput de novo sequencing approach for shotgun proteomics using high-resolution tandem mass spectrometry |
title | A high-throughput de novo sequencing approach for shotgun proteomics using high-resolution tandem mass spectrometry |
title_full | A high-throughput de novo sequencing approach for shotgun proteomics using high-resolution tandem mass spectrometry |
title_fullStr | A high-throughput de novo sequencing approach for shotgun proteomics using high-resolution tandem mass spectrometry |
title_full_unstemmed | A high-throughput de novo sequencing approach for shotgun proteomics using high-resolution tandem mass spectrometry |
title_short | A high-throughput de novo sequencing approach for shotgun proteomics using high-resolution tandem mass spectrometry |
title_sort | high-throughput de novo sequencing approach for shotgun proteomics using high-resolution tandem mass spectrometry |
topic | Research article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2838866/ https://www.ncbi.nlm.nih.gov/pubmed/20205730 http://dx.doi.org/10.1186/1471-2105-11-118 |
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