Automated annotation and visualisation of high-resolution spatial proteomic mass spectrometry imaging data using HIT-MAP

Automated annotation and visualisation of high-resolution spatial proteomic mass spectrometry imaging data using HIT-MAP

MALDI-mass spectrometry imaging (MSI) can reveal the distribution of proteins in tissues but tools for protein identification and annotation are sparse. Here, the authors develop an open-source bioinformatic workflow for false discovery rate-controlled protein annotation and spatial mapping from MAL...

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Autores principales: G. Guo, M. Papanicolaou, N. J. Demarais, Z. Wang, K. L. Schey, P. Timpson, T. R. Cox, A. C. Grey
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/9f16ad7314d849e8abab580be63964d9
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spelling oai:doaj.org-article:9f16ad7314d849e8abab580be63964d92021-12-02T14:49:22ZAutomated annotation and visualisation of high-resolution spatial proteomic mass spectrometry imaging data using HIT-MAP10.1038/s41467-021-23461-w2041-1723https://doaj.org/article/9f16ad7314d849e8abab580be63964d92021-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-23461-whttps://doaj.org/toc/2041-1723MALDI-mass spectrometry imaging (MSI) can reveal the distribution of proteins in tissues but tools for protein identification and annotation are sparse. Here, the authors develop an open-source bioinformatic workflow for false discovery rate-controlled protein annotation and spatial mapping from MALDI-MSI data.G. GuoM. PapanicolaouN. J. DemaraisZ. WangK. L. ScheyP. TimpsonT. R. CoxA. C. GreyNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-16 (2021)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
G. Guo
M. Papanicolaou
N. J. Demarais
Z. Wang
K. L. Schey
P. Timpson
T. R. Cox
A. C. Grey
Automated annotation and visualisation of high-resolution spatial proteomic mass spectrometry imaging data using HIT-MAP
description MALDI-mass spectrometry imaging (MSI) can reveal the distribution of proteins in tissues but tools for protein identification and annotation are sparse. Here, the authors develop an open-source bioinformatic workflow for false discovery rate-controlled protein annotation and spatial mapping from MALDI-MSI data.
format article
author G. Guo
M. Papanicolaou
N. J. Demarais
Z. Wang
K. L. Schey
P. Timpson
T. R. Cox
A. C. Grey
author_facet G. Guo
M. Papanicolaou
N. J. Demarais
Z. Wang
K. L. Schey
P. Timpson
T. R. Cox
A. C. Grey
author_sort G. Guo
title Automated annotation and visualisation of high-resolution spatial proteomic mass spectrometry imaging data using HIT-MAP
title_short Automated annotation and visualisation of high-resolution spatial proteomic mass spectrometry imaging data using HIT-MAP
title_full Automated annotation and visualisation of high-resolution spatial proteomic mass spectrometry imaging data using HIT-MAP
title_fullStr Automated annotation and visualisation of high-resolution spatial proteomic mass spectrometry imaging data using HIT-MAP
title_full_unstemmed Automated annotation and visualisation of high-resolution spatial proteomic mass spectrometry imaging data using HIT-MAP
title_sort automated annotation and visualisation of high-resolution spatial proteomic mass spectrometry imaging data using hit-map
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/9f16ad7314d849e8abab580be63964d9
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