Cargando…
Combinatorial peptidomics: a generic approach for protein expression profiling
Traditional approaches to protein profiling were built around the concept of investigating one protein at a time and have long since reached their limits of throughput. Here we present a completely new approach for comprehensive compositional analysis of complex protein mixtures, capable of overcomi...
Autores principales: | , , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2003
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC166277/ https://www.ncbi.nlm.nih.gov/pubmed/12877747 http://dx.doi.org/10.1186/1477-3155-1-4 |
_version_ | 1782120859016626176 |
---|---|
author | Soloviev, Mikhail Barry, Richard Scrivener, Elaine Terrett, Jonathan |
author_facet | Soloviev, Mikhail Barry, Richard Scrivener, Elaine Terrett, Jonathan |
author_sort | Soloviev, Mikhail |
collection | PubMed |
description | Traditional approaches to protein profiling were built around the concept of investigating one protein at a time and have long since reached their limits of throughput. Here we present a completely new approach for comprehensive compositional analysis of complex protein mixtures, capable of overcoming the deficiencies of current proteomics techniques. The Combinatorial methodology utilises the peptidomics approach, in which protein samples are proteolytically digested using one or a combination of proteases prior to any assay being carried out. The second fundamental principle is the combinatorial depletion of the crude protein digest (i.e. of the peptide pool) by chemical crosslinking through amino acid side chains. Our approach relies on the chemical reactivities of the amino acids and therefore the amino acid content of the peptides (i.e. their information content) rather than their physical properties. Combinatorial peptidomics does not use affinity reagents and relies on neither chromatography nor electrophoretic separation techniques. It is the first generic methodology applicable to protein expression profiling, that is independent of the physical properties of proteins and does not require any prior knowledge of the proteins. Alternatively, a specific combinatorial strategy may be designed to analyse a particular known protein on the basis of that protein sequence alone or, in the absence of reliable protein sequence, even the predicted amino acid translation of an EST sequence. Combinatorial peptidomics is especially suitable for use with high throughput micro- and nano-fluidic platforms capable of running multiple depletion reactions in a single disposable chip. |
format | Text |
id | pubmed-166277 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2003 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-1662772003-07-26 Combinatorial peptidomics: a generic approach for protein expression profiling Soloviev, Mikhail Barry, Richard Scrivener, Elaine Terrett, Jonathan J Nanobiotechnology Research Traditional approaches to protein profiling were built around the concept of investigating one protein at a time and have long since reached their limits of throughput. Here we present a completely new approach for comprehensive compositional analysis of complex protein mixtures, capable of overcoming the deficiencies of current proteomics techniques. The Combinatorial methodology utilises the peptidomics approach, in which protein samples are proteolytically digested using one or a combination of proteases prior to any assay being carried out. The second fundamental principle is the combinatorial depletion of the crude protein digest (i.e. of the peptide pool) by chemical crosslinking through amino acid side chains. Our approach relies on the chemical reactivities of the amino acids and therefore the amino acid content of the peptides (i.e. their information content) rather than their physical properties. Combinatorial peptidomics does not use affinity reagents and relies on neither chromatography nor electrophoretic separation techniques. It is the first generic methodology applicable to protein expression profiling, that is independent of the physical properties of proteins and does not require any prior knowledge of the proteins. Alternatively, a specific combinatorial strategy may be designed to analyse a particular known protein on the basis of that protein sequence alone or, in the absence of reliable protein sequence, even the predicted amino acid translation of an EST sequence. Combinatorial peptidomics is especially suitable for use with high throughput micro- and nano-fluidic platforms capable of running multiple depletion reactions in a single disposable chip. BioMed Central 2003-07-03 /pmc/articles/PMC166277/ /pubmed/12877747 http://dx.doi.org/10.1186/1477-3155-1-4 Text en Copyright © 2003 Soloviev et al; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL. |
spellingShingle | Research Soloviev, Mikhail Barry, Richard Scrivener, Elaine Terrett, Jonathan Combinatorial peptidomics: a generic approach for protein expression profiling |
title | Combinatorial peptidomics: a generic approach for protein expression profiling |
title_full | Combinatorial peptidomics: a generic approach for protein expression profiling |
title_fullStr | Combinatorial peptidomics: a generic approach for protein expression profiling |
title_full_unstemmed | Combinatorial peptidomics: a generic approach for protein expression profiling |
title_short | Combinatorial peptidomics: a generic approach for protein expression profiling |
title_sort | combinatorial peptidomics: a generic approach for protein expression profiling |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC166277/ https://www.ncbi.nlm.nih.gov/pubmed/12877747 http://dx.doi.org/10.1186/1477-3155-1-4 |
work_keys_str_mv | AT solovievmikhail combinatorialpeptidomicsagenericapproachforproteinexpressionprofiling AT barryrichard combinatorialpeptidomicsagenericapproachforproteinexpressionprofiling AT scrivenerelaine combinatorialpeptidomicsagenericapproachforproteinexpressionprofiling AT terrettjonathan combinatorialpeptidomicsagenericapproachforproteinexpressionprofiling |