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TAILS N-terminomic and proteomic datasets of healthy human dental pulp

The Data described here provide the in depth proteomic assessment of the human dental pulp proteome and N-terminome (Eckhard et al., 2015) [1]. A total of 9 human dental pulps were processed and analyzed by the positional proteomics technique TAILS (Terminal Amine Isotopic Labeling of Substrates) N-...

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Autores principales: Eckhard, Ulrich, Marino, Giada, Abbey, Simon R., Matthew, Ian, Overall, Christopher M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4625376/
https://www.ncbi.nlm.nih.gov/pubmed/26587561
http://dx.doi.org/10.1016/j.dib.2015.10.003
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author Eckhard, Ulrich
Marino, Giada
Abbey, Simon R.
Matthew, Ian
Overall, Christopher M.
author_facet Eckhard, Ulrich
Marino, Giada
Abbey, Simon R.
Matthew, Ian
Overall, Christopher M.
author_sort Eckhard, Ulrich
collection PubMed
description The Data described here provide the in depth proteomic assessment of the human dental pulp proteome and N-terminome (Eckhard et al., 2015) [1]. A total of 9 human dental pulps were processed and analyzed by the positional proteomics technique TAILS (Terminal Amine Isotopic Labeling of Substrates) N-terminomics. 38 liquid chromatography tandem mass spectrometry (LC-MS/MS) datasets were collected and analyzed using four database search engines in combination with statistical downstream evaluation, to yield the by far largest proteomic and N-terminomic dataset of any dental tissue to date. The raw mass spectrometry data and the corresponding metadata have been deposited in ProteomeXchange with the PXD identifier <PXD002264>; Supplementary Tables described in this article are available via Mendeley Data (10.17632/555j3kk4sw.1).
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spelling pubmed-46253762015-11-19 TAILS N-terminomic and proteomic datasets of healthy human dental pulp Eckhard, Ulrich Marino, Giada Abbey, Simon R. Matthew, Ian Overall, Christopher M. Data Brief Data Article The Data described here provide the in depth proteomic assessment of the human dental pulp proteome and N-terminome (Eckhard et al., 2015) [1]. A total of 9 human dental pulps were processed and analyzed by the positional proteomics technique TAILS (Terminal Amine Isotopic Labeling of Substrates) N-terminomics. 38 liquid chromatography tandem mass spectrometry (LC-MS/MS) datasets were collected and analyzed using four database search engines in combination with statistical downstream evaluation, to yield the by far largest proteomic and N-terminomic dataset of any dental tissue to date. The raw mass spectrometry data and the corresponding metadata have been deposited in ProteomeXchange with the PXD identifier <PXD002264>; Supplementary Tables described in this article are available via Mendeley Data (10.17632/555j3kk4sw.1). Elsevier 2015-10-16 /pmc/articles/PMC4625376/ /pubmed/26587561 http://dx.doi.org/10.1016/j.dib.2015.10.003 Text en © 2015 Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Data Article
Eckhard, Ulrich
Marino, Giada
Abbey, Simon R.
Matthew, Ian
Overall, Christopher M.
TAILS N-terminomic and proteomic datasets of healthy human dental pulp
title TAILS N-terminomic and proteomic datasets of healthy human dental pulp
title_full TAILS N-terminomic and proteomic datasets of healthy human dental pulp
title_fullStr TAILS N-terminomic and proteomic datasets of healthy human dental pulp
title_full_unstemmed TAILS N-terminomic and proteomic datasets of healthy human dental pulp
title_short TAILS N-terminomic and proteomic datasets of healthy human dental pulp
title_sort tails n-terminomic and proteomic datasets of healthy human dental pulp
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4625376/
https://www.ncbi.nlm.nih.gov/pubmed/26587561
http://dx.doi.org/10.1016/j.dib.2015.10.003
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