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Rapid interactome profiling by massive sequencing
We have developed a high-throughput protein expression and interaction analysis platform that combines cDNA phage display library selection and massive gene sequencing using the 454 platform. A phage display library of open reading frame (ORF) fragments was created from mRNA derived from different t...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2875021/ https://www.ncbi.nlm.nih.gov/pubmed/20144949 http://dx.doi.org/10.1093/nar/gkq052 |
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author | Di Niro, Roberto Sulic, Ana-Marija Mignone, Flavio D’Angelo, Sara Bordoni, Roberta Iacono, Michele Marzari, Roberto Gaiotto, Tiziano Lavric, Miha Bradbury, Andrew R. M. Biancone, Luigi Zevin-Sonkin, Dina De Bellis, Gianluca Santoro, Claudio Sblattero, Daniele |
author_facet | Di Niro, Roberto Sulic, Ana-Marija Mignone, Flavio D’Angelo, Sara Bordoni, Roberta Iacono, Michele Marzari, Roberto Gaiotto, Tiziano Lavric, Miha Bradbury, Andrew R. M. Biancone, Luigi Zevin-Sonkin, Dina De Bellis, Gianluca Santoro, Claudio Sblattero, Daniele |
author_sort | Di Niro, Roberto |
collection | PubMed |
description | We have developed a high-throughput protein expression and interaction analysis platform that combines cDNA phage display library selection and massive gene sequencing using the 454 platform. A phage display library of open reading frame (ORF) fragments was created from mRNA derived from different tissues. This was used to study the interaction network of the enzyme transglutaminase 2 (TG2), a multifunctional enzyme involved in the regulation of cell growth, differentiation and apoptosis, associated with many different pathologies. After two rounds of panning with TG2 we assayed the frequency of ORFs within the selected phage population using 454 sequencing. Ranking and analysis of more than 120 000 sequences allowed us to identify several potential interactors, which were subsequently confirmed in functional assays. Within the identified clones, three had been previously described as interacting proteins (fibronectin, SMOC1 and GSTO2), while all the others were new. When compared with standard systems, such as microtiter enzyme-linked immunosorbant assay, the method described here is dramatically faster and yields far more information about the interaction under study, allowing better characterization of complex systems. For example, in the case of fibronectin, it was possible to identify the specific domains involved in the interaction. |
format | Text |
id | pubmed-2875021 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-28750212010-05-24 Rapid interactome profiling by massive sequencing Di Niro, Roberto Sulic, Ana-Marija Mignone, Flavio D’Angelo, Sara Bordoni, Roberta Iacono, Michele Marzari, Roberto Gaiotto, Tiziano Lavric, Miha Bradbury, Andrew R. M. Biancone, Luigi Zevin-Sonkin, Dina De Bellis, Gianluca Santoro, Claudio Sblattero, Daniele Nucleic Acids Res Methods Online We have developed a high-throughput protein expression and interaction analysis platform that combines cDNA phage display library selection and massive gene sequencing using the 454 platform. A phage display library of open reading frame (ORF) fragments was created from mRNA derived from different tissues. This was used to study the interaction network of the enzyme transglutaminase 2 (TG2), a multifunctional enzyme involved in the regulation of cell growth, differentiation and apoptosis, associated with many different pathologies. After two rounds of panning with TG2 we assayed the frequency of ORFs within the selected phage population using 454 sequencing. Ranking and analysis of more than 120 000 sequences allowed us to identify several potential interactors, which were subsequently confirmed in functional assays. Within the identified clones, three had been previously described as interacting proteins (fibronectin, SMOC1 and GSTO2), while all the others were new. When compared with standard systems, such as microtiter enzyme-linked immunosorbant assay, the method described here is dramatically faster and yields far more information about the interaction under study, allowing better characterization of complex systems. For example, in the case of fibronectin, it was possible to identify the specific domains involved in the interaction. Oxford University Press 2010-05 2010-02-09 /pmc/articles/PMC2875021/ /pubmed/20144949 http://dx.doi.org/10.1093/nar/gkq052 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methods Online Di Niro, Roberto Sulic, Ana-Marija Mignone, Flavio D’Angelo, Sara Bordoni, Roberta Iacono, Michele Marzari, Roberto Gaiotto, Tiziano Lavric, Miha Bradbury, Andrew R. M. Biancone, Luigi Zevin-Sonkin, Dina De Bellis, Gianluca Santoro, Claudio Sblattero, Daniele Rapid interactome profiling by massive sequencing |
title | Rapid interactome profiling by massive sequencing |
title_full | Rapid interactome profiling by massive sequencing |
title_fullStr | Rapid interactome profiling by massive sequencing |
title_full_unstemmed | Rapid interactome profiling by massive sequencing |
title_short | Rapid interactome profiling by massive sequencing |
title_sort | rapid interactome profiling by massive sequencing |
topic | Methods Online |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2875021/ https://www.ncbi.nlm.nih.gov/pubmed/20144949 http://dx.doi.org/10.1093/nar/gkq052 |
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