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“Controlled, cross-species dataset for exploring biases in genome annotation and modification profiles”

Since the sequencing of the honey bee genome, proteomics by mass spectrometry has become increasingly popular for biological analyses of this insect; but we have observed that the number of honey bee protein identifications is consistently low compared to other organisms [1]. In this dataset, we use...

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Detalles Bibliográficos
Autores principales: McAfee, Alison, Michaud, Sarah, Foster, Leonard J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4660258/
https://www.ncbi.nlm.nih.gov/pubmed/26693519
http://dx.doi.org/10.1016/j.dib.2015.10.042
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author McAfee, Alison
Michaud, Sarah
Foster, Leonard J.
author_facet McAfee, Alison
Michaud, Sarah
Foster, Leonard J.
author_sort McAfee, Alison
collection PubMed
description Since the sequencing of the honey bee genome, proteomics by mass spectrometry has become increasingly popular for biological analyses of this insect; but we have observed that the number of honey bee protein identifications is consistently low compared to other organisms [1]. In this dataset, we use nanoelectrospray ionization-coupled liquid chromatography–tandem mass spectrometry (nLC–MS/MS) to systematically investigate the root cause of low honey bee proteome coverage. To this end, we present here data from three key experiments: a controlled, cross-species analyses of samples from Apis mellifera, Drosophila melanogaster, Caenorhabditis elegans, Saccharomyces cerevisiae, Mus musculus and Homo sapiens; a proteomic analysis of an individual honey bee whose genome was also sequenced; and a cross-tissue honey bee proteome comparison. The cross-species dataset was interrogated to determine relative proteome coverages between species, and the other two datasets were used to search for polymorphic sequences and to compare protein cleavage profiles, respectively.
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spelling pubmed-46602582015-12-21 “Controlled, cross-species dataset for exploring biases in genome annotation and modification profiles” McAfee, Alison Michaud, Sarah Foster, Leonard J. Data Brief Data Article Since the sequencing of the honey bee genome, proteomics by mass spectrometry has become increasingly popular for biological analyses of this insect; but we have observed that the number of honey bee protein identifications is consistently low compared to other organisms [1]. In this dataset, we use nanoelectrospray ionization-coupled liquid chromatography–tandem mass spectrometry (nLC–MS/MS) to systematically investigate the root cause of low honey bee proteome coverage. To this end, we present here data from three key experiments: a controlled, cross-species analyses of samples from Apis mellifera, Drosophila melanogaster, Caenorhabditis elegans, Saccharomyces cerevisiae, Mus musculus and Homo sapiens; a proteomic analysis of an individual honey bee whose genome was also sequenced; and a cross-tissue honey bee proteome comparison. The cross-species dataset was interrogated to determine relative proteome coverages between species, and the other two datasets were used to search for polymorphic sequences and to compare protein cleavage profiles, respectively. Elsevier 2015-11-10 /pmc/articles/PMC4660258/ /pubmed/26693519 http://dx.doi.org/10.1016/j.dib.2015.10.042 Text en © 2015 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
McAfee, Alison
Michaud, Sarah
Foster, Leonard J.
“Controlled, cross-species dataset for exploring biases in genome annotation and modification profiles”
title “Controlled, cross-species dataset for exploring biases in genome annotation and modification profiles”
title_full “Controlled, cross-species dataset for exploring biases in genome annotation and modification profiles”
title_fullStr “Controlled, cross-species dataset for exploring biases in genome annotation and modification profiles”
title_full_unstemmed “Controlled, cross-species dataset for exploring biases in genome annotation and modification profiles”
title_short “Controlled, cross-species dataset for exploring biases in genome annotation and modification profiles”
title_sort “controlled, cross-species dataset for exploring biases in genome annotation and modification profiles”
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4660258/
https://www.ncbi.nlm.nih.gov/pubmed/26693519
http://dx.doi.org/10.1016/j.dib.2015.10.042
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