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Identifying New Small Proteins in Escherichia coli

The number of small proteins (SPs) encoded in the Escherichia coli genome is unknown, as current bioinformatics and biochemical techniques make short gene and small protein identification challenging. One method of small protein identification involves adding an epitope tag to the 3′ end of a short...

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Autores principales: VanOrsdel, Caitlin E., Kelly, John P., Burke, Brittany N., Lein, Christina D., Oufiero, Christopher E., Sanchez, Joseph F., Wimmers, Larry E., Hearn, David J., Abuikhdair, Fatimeh J., Barnhart, Kathryn R., Duley, Michelle L., Ernst, Sarah E. G., Kenerson, Briana A., Serafin, Aubrey J., Hemm, Matthew R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6001520/
https://www.ncbi.nlm.nih.gov/pubmed/29645342
http://dx.doi.org/10.1002/pmic.201700064
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author VanOrsdel, Caitlin E.
Kelly, John P.
Burke, Brittany N.
Lein, Christina D.
Oufiero, Christopher E.
Sanchez, Joseph F.
Wimmers, Larry E.
Hearn, David J.
Abuikhdair, Fatimeh J.
Barnhart, Kathryn R.
Duley, Michelle L.
Ernst, Sarah E. G.
Kenerson, Briana A.
Serafin, Aubrey J.
Hemm, Matthew R.
author_facet VanOrsdel, Caitlin E.
Kelly, John P.
Burke, Brittany N.
Lein, Christina D.
Oufiero, Christopher E.
Sanchez, Joseph F.
Wimmers, Larry E.
Hearn, David J.
Abuikhdair, Fatimeh J.
Barnhart, Kathryn R.
Duley, Michelle L.
Ernst, Sarah E. G.
Kenerson, Briana A.
Serafin, Aubrey J.
Hemm, Matthew R.
author_sort VanOrsdel, Caitlin E.
collection PubMed
description The number of small proteins (SPs) encoded in the Escherichia coli genome is unknown, as current bioinformatics and biochemical techniques make short gene and small protein identification challenging. One method of small protein identification involves adding an epitope tag to the 3′ end of a short open reading frame (sORF) on the chromosome, with synthesis confirmed by immunoblot assays. In this study, this strategy was used to identify new E. coli small proteins, tagging 80 sORFs in the E. coli genome, and assayed for protein synthesis. The selected sORFs represent diverse sequence characteristics, including degrees of sORF conservation, predicted transmembrane domains, sORF direction with respect to flanking genes, ribosome binding site (RBS) prediction, and ribosome profiling results. Of 80 sORFs, 36 resulted in encoded synthesized proteins—a 45% success rate. Modeling of detected versus non‐detected small proteins analysis showed predictions based on RBS prediction, transcription data, and ribosome profiling had statistically‐significant correlation with protein synthesis; however, there was no correlation between current sORF annotation and protein synthesis. These results suggest substantial numbers of small proteins remain undiscovered in E. coli, and existing bioinformatics techniques must continue to improve to facilitate identification.
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spelling pubmed-60015202018-06-21 Identifying New Small Proteins in Escherichia coli VanOrsdel, Caitlin E. Kelly, John P. Burke, Brittany N. Lein, Christina D. Oufiero, Christopher E. Sanchez, Joseph F. Wimmers, Larry E. Hearn, David J. Abuikhdair, Fatimeh J. Barnhart, Kathryn R. Duley, Michelle L. Ernst, Sarah E. G. Kenerson, Briana A. Serafin, Aubrey J. Hemm, Matthew R. Proteomics Research Articles The number of small proteins (SPs) encoded in the Escherichia coli genome is unknown, as current bioinformatics and biochemical techniques make short gene and small protein identification challenging. One method of small protein identification involves adding an epitope tag to the 3′ end of a short open reading frame (sORF) on the chromosome, with synthesis confirmed by immunoblot assays. In this study, this strategy was used to identify new E. coli small proteins, tagging 80 sORFs in the E. coli genome, and assayed for protein synthesis. The selected sORFs represent diverse sequence characteristics, including degrees of sORF conservation, predicted transmembrane domains, sORF direction with respect to flanking genes, ribosome binding site (RBS) prediction, and ribosome profiling results. Of 80 sORFs, 36 resulted in encoded synthesized proteins—a 45% success rate. Modeling of detected versus non‐detected small proteins analysis showed predictions based on RBS prediction, transcription data, and ribosome profiling had statistically‐significant correlation with protein synthesis; however, there was no correlation between current sORF annotation and protein synthesis. These results suggest substantial numbers of small proteins remain undiscovered in E. coli, and existing bioinformatics techniques must continue to improve to facilitate identification. John Wiley and Sons Inc. 2018-05-02 2018-05 /pmc/articles/PMC6001520/ /pubmed/29645342 http://dx.doi.org/10.1002/pmic.201700064 Text en © 2018 Towson University. Proteomics Published by WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
VanOrsdel, Caitlin E.
Kelly, John P.
Burke, Brittany N.
Lein, Christina D.
Oufiero, Christopher E.
Sanchez, Joseph F.
Wimmers, Larry E.
Hearn, David J.
Abuikhdair, Fatimeh J.
Barnhart, Kathryn R.
Duley, Michelle L.
Ernst, Sarah E. G.
Kenerson, Briana A.
Serafin, Aubrey J.
Hemm, Matthew R.
Identifying New Small Proteins in Escherichia coli
title Identifying New Small Proteins in Escherichia coli
title_full Identifying New Small Proteins in Escherichia coli
title_fullStr Identifying New Small Proteins in Escherichia coli
title_full_unstemmed Identifying New Small Proteins in Escherichia coli
title_short Identifying New Small Proteins in Escherichia coli
title_sort identifying new small proteins in escherichia coli
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6001520/
https://www.ncbi.nlm.nih.gov/pubmed/29645342
http://dx.doi.org/10.1002/pmic.201700064
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