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PTMViz: a tool for analyzing and visualizing histone post translational modification data
BACKGROUND: Histone post-translational modifications (PTMs) play an important role in our system by regulating the structure of chromatin and therefore contribute to the regulation of gene and protein expression. Irregularities in histone PTMs can lead to a variety of different diseases including va...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8157737/ https://www.ncbi.nlm.nih.gov/pubmed/34039258 http://dx.doi.org/10.1186/s12859-021-04166-9 |
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author | Chappell, Kevin Graw, Stefan Washam, Charity L. Storey, Aaron J. Bolden, Chris Peterson, Eric C. Byrum, Stephanie D. |
author_facet | Chappell, Kevin Graw, Stefan Washam, Charity L. Storey, Aaron J. Bolden, Chris Peterson, Eric C. Byrum, Stephanie D. |
author_sort | Chappell, Kevin |
collection | PubMed |
description | BACKGROUND: Histone post-translational modifications (PTMs) play an important role in our system by regulating the structure of chromatin and therefore contribute to the regulation of gene and protein expression. Irregularities in histone PTMs can lead to a variety of different diseases including various forms of cancer. Histone modifications are analyzed using high resolution mass spectrometry, which generate large amounts of data that requires sophisticated bioinformatics tools for analysis and visualization. PTMViz is designed for downstream differential abundance analysis and visualization of both protein and/or histone modifications. RESULTS: PTMViz provides users with data tables and visualization plots of significantly differentiated proteins and histone PTMs between two sample groups. All the data is packaged into interactive data tables and graphs using the Shiny platform to help the user explore the results in a fast and efficient manner to assess if changes in the system are due to protein abundance changes or epigenetic changes. In the example data provided, we identified several proteins differentially regulated in the dopaminergic pathway between mice treated with methamphetamine compared to a saline control. We also identified histone post-translational modifications including histone H3K9me, H3K27me3, H4K16ac, and that were regulated due to drug exposure. CONCLUSIONS: Histone modifications play an integral role in the regulation of gene expression. PTMViz provides an interactive platform for analyzing proteins and histone post-translational modifications from mass spectrometry data in order to quickly identify differentially expressed proteins and PTMs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-021-04166-9. |
format | Online Article Text |
id | pubmed-8157737 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81577372021-05-28 PTMViz: a tool for analyzing and visualizing histone post translational modification data Chappell, Kevin Graw, Stefan Washam, Charity L. Storey, Aaron J. Bolden, Chris Peterson, Eric C. Byrum, Stephanie D. BMC Bioinformatics Software BACKGROUND: Histone post-translational modifications (PTMs) play an important role in our system by regulating the structure of chromatin and therefore contribute to the regulation of gene and protein expression. Irregularities in histone PTMs can lead to a variety of different diseases including various forms of cancer. Histone modifications are analyzed using high resolution mass spectrometry, which generate large amounts of data that requires sophisticated bioinformatics tools for analysis and visualization. PTMViz is designed for downstream differential abundance analysis and visualization of both protein and/or histone modifications. RESULTS: PTMViz provides users with data tables and visualization plots of significantly differentiated proteins and histone PTMs between two sample groups. All the data is packaged into interactive data tables and graphs using the Shiny platform to help the user explore the results in a fast and efficient manner to assess if changes in the system are due to protein abundance changes or epigenetic changes. In the example data provided, we identified several proteins differentially regulated in the dopaminergic pathway between mice treated with methamphetamine compared to a saline control. We also identified histone post-translational modifications including histone H3K9me, H3K27me3, H4K16ac, and that were regulated due to drug exposure. CONCLUSIONS: Histone modifications play an integral role in the regulation of gene expression. PTMViz provides an interactive platform for analyzing proteins and histone post-translational modifications from mass spectrometry data in order to quickly identify differentially expressed proteins and PTMs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-021-04166-9. BioMed Central 2021-05-26 /pmc/articles/PMC8157737/ /pubmed/34039258 http://dx.doi.org/10.1186/s12859-021-04166-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Software Chappell, Kevin Graw, Stefan Washam, Charity L. Storey, Aaron J. Bolden, Chris Peterson, Eric C. Byrum, Stephanie D. PTMViz: a tool for analyzing and visualizing histone post translational modification data |
title | PTMViz: a tool for analyzing and visualizing histone post translational modification data |
title_full | PTMViz: a tool for analyzing and visualizing histone post translational modification data |
title_fullStr | PTMViz: a tool for analyzing and visualizing histone post translational modification data |
title_full_unstemmed | PTMViz: a tool for analyzing and visualizing histone post translational modification data |
title_short | PTMViz: a tool for analyzing and visualizing histone post translational modification data |
title_sort | ptmviz: a tool for analyzing and visualizing histone post translational modification data |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8157737/ https://www.ncbi.nlm.nih.gov/pubmed/34039258 http://dx.doi.org/10.1186/s12859-021-04166-9 |
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