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Deep Imaging: How Much of the Proteome Does Current Top-Down Technology Already Resolve?
Effective proteome analyses are based on interplay between resolution and detection. It had been claimed that resolution was the main factor limiting the use of two-dimensional gel electrophoresis. Improved protein detection now indicates that this is unlikely to be the case. Using a highly refined...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3904854/ https://www.ncbi.nlm.nih.gov/pubmed/24489691 http://dx.doi.org/10.1371/journal.pone.0086058 |
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author | Wright, Elise P. Prasad, Kali A. G. Padula, Matthew P. Coorssen, Jens R. |
author_facet | Wright, Elise P. Prasad, Kali A. G. Padula, Matthew P. Coorssen, Jens R. |
author_sort | Wright, Elise P. |
collection | PubMed |
description | Effective proteome analyses are based on interplay between resolution and detection. It had been claimed that resolution was the main factor limiting the use of two-dimensional gel electrophoresis. Improved protein detection now indicates that this is unlikely to be the case. Using a highly refined protocol, the rat brain proteome was extracted, resolved, and detected. In order to overcome the stain saturation threshold, high abundance protein species were excised from the gel following standard imaging. Gels were then imaged again using longer exposure times, enabling detection of lower abundance, less intensely stained protein species. This resulted in a significant enhancement in the detection of resolved proteins, and a slightly modified digestion protocol enabled effective identification by standard mass spectrometric methods. The data indicate that the resolution required for comprehensive proteome analyses is already available, can assess multiple samples in parallel, and preserve critical information concerning post-translational modifications. Further optimization of staining and detection methods promises additional improvements to this economical, widely accessible and effective top-down approach to proteome analysis. |
format | Online Article Text |
id | pubmed-3904854 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-39048542014-01-31 Deep Imaging: How Much of the Proteome Does Current Top-Down Technology Already Resolve? Wright, Elise P. Prasad, Kali A. G. Padula, Matthew P. Coorssen, Jens R. PLoS One Research Article Effective proteome analyses are based on interplay between resolution and detection. It had been claimed that resolution was the main factor limiting the use of two-dimensional gel electrophoresis. Improved protein detection now indicates that this is unlikely to be the case. Using a highly refined protocol, the rat brain proteome was extracted, resolved, and detected. In order to overcome the stain saturation threshold, high abundance protein species were excised from the gel following standard imaging. Gels were then imaged again using longer exposure times, enabling detection of lower abundance, less intensely stained protein species. This resulted in a significant enhancement in the detection of resolved proteins, and a slightly modified digestion protocol enabled effective identification by standard mass spectrometric methods. The data indicate that the resolution required for comprehensive proteome analyses is already available, can assess multiple samples in parallel, and preserve critical information concerning post-translational modifications. Further optimization of staining and detection methods promises additional improvements to this economical, widely accessible and effective top-down approach to proteome analysis. Public Library of Science 2014-01-28 /pmc/articles/PMC3904854/ /pubmed/24489691 http://dx.doi.org/10.1371/journal.pone.0086058 Text en © 2014 Wright et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Wright, Elise P. Prasad, Kali A. G. Padula, Matthew P. Coorssen, Jens R. Deep Imaging: How Much of the Proteome Does Current Top-Down Technology Already Resolve? |
title | Deep Imaging: How Much of the Proteome Does Current Top-Down Technology Already Resolve? |
title_full | Deep Imaging: How Much of the Proteome Does Current Top-Down Technology Already Resolve? |
title_fullStr | Deep Imaging: How Much of the Proteome Does Current Top-Down Technology Already Resolve? |
title_full_unstemmed | Deep Imaging: How Much of the Proteome Does Current Top-Down Technology Already Resolve? |
title_short | Deep Imaging: How Much of the Proteome Does Current Top-Down Technology Already Resolve? |
title_sort | deep imaging: how much of the proteome does current top-down technology already resolve? |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3904854/ https://www.ncbi.nlm.nih.gov/pubmed/24489691 http://dx.doi.org/10.1371/journal.pone.0086058 |
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