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Transcriptome and protein interaction profiling in cancer cells with mutations in histone H3.3

Mutations of histone variant H3.3 are highly recurrent in childhood glioblastoma and in young adults with Giant Cell Tumor of the Bone (GCTB). The heterozygotic representation of the mutations in the tumors, and with potential histone H3 and H3.3 redundancy, suggest that the mutations are gain-of-fu...

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Autores principales: Lim, Jinyeong, Park, Joo Hyun, Baude, Annika, Fellenberg, Jörg, Zustin, Jozef, Haller, Florian, Krücken, Irene, Kang, Hyun Guy, Park, Yoon Jung, Plass, Christoph, Lindroth, Anders M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6289111/
https://www.ncbi.nlm.nih.gov/pubmed/30532024
http://dx.doi.org/10.1038/sdata.2018.283
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author Lim, Jinyeong
Park, Joo Hyun
Baude, Annika
Fellenberg, Jörg
Zustin, Jozef
Haller, Florian
Krücken, Irene
Kang, Hyun Guy
Park, Yoon Jung
Plass, Christoph
Lindroth, Anders M.
author_facet Lim, Jinyeong
Park, Joo Hyun
Baude, Annika
Fellenberg, Jörg
Zustin, Jozef
Haller, Florian
Krücken, Irene
Kang, Hyun Guy
Park, Yoon Jung
Plass, Christoph
Lindroth, Anders M.
author_sort Lim, Jinyeong
collection PubMed
description Mutations of histone variant H3.3 are highly recurrent in childhood glioblastoma and in young adults with Giant Cell Tumor of the Bone (GCTB). The heterozygotic representation of the mutations in the tumors, and with potential histone H3 and H3.3 redundancy, suggest that the mutations are gain-of-function by nature. To address common H3.3 point mutations, we have generated data from GCTB patient samples with H3.3 G34W substitutions and engineered human GFP-tagged H3.3-mutated isogenic cell lines for high throughput data comparisons. First, a total of thirty-six patient samples and cell lines were used to acquire gene expression transcriptome data using microarray and RNA-sequencing. The expression data were validated with the orthogonal nCounter assay. Second, to uncover the H3.3-GFP interaction proteomes from the isogenic cell lines, immunoprecipitation of unmutated wild type, K27M, G34R, and G34W substitutions were performed. The RNA-sequencing data and the H3.3 interaction proteome enable potentially important functional insight into the tumorigenic process and should spur further detailed analysis.
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spelling pubmed-62891112018-12-12 Transcriptome and protein interaction profiling in cancer cells with mutations in histone H3.3 Lim, Jinyeong Park, Joo Hyun Baude, Annika Fellenberg, Jörg Zustin, Jozef Haller, Florian Krücken, Irene Kang, Hyun Guy Park, Yoon Jung Plass, Christoph Lindroth, Anders M. Sci Data Data Descriptor Mutations of histone variant H3.3 are highly recurrent in childhood glioblastoma and in young adults with Giant Cell Tumor of the Bone (GCTB). The heterozygotic representation of the mutations in the tumors, and with potential histone H3 and H3.3 redundancy, suggest that the mutations are gain-of-function by nature. To address common H3.3 point mutations, we have generated data from GCTB patient samples with H3.3 G34W substitutions and engineered human GFP-tagged H3.3-mutated isogenic cell lines for high throughput data comparisons. First, a total of thirty-six patient samples and cell lines were used to acquire gene expression transcriptome data using microarray and RNA-sequencing. The expression data were validated with the orthogonal nCounter assay. Second, to uncover the H3.3-GFP interaction proteomes from the isogenic cell lines, immunoprecipitation of unmutated wild type, K27M, G34R, and G34W substitutions were performed. The RNA-sequencing data and the H3.3 interaction proteome enable potentially important functional insight into the tumorigenic process and should spur further detailed analysis. Nature Publishing Group 2018-12-11 /pmc/articles/PMC6289111/ /pubmed/30532024 http://dx.doi.org/10.1038/sdata.2018.283 Text en Copyright © 2018, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article.
spellingShingle Data Descriptor
Lim, Jinyeong
Park, Joo Hyun
Baude, Annika
Fellenberg, Jörg
Zustin, Jozef
Haller, Florian
Krücken, Irene
Kang, Hyun Guy
Park, Yoon Jung
Plass, Christoph
Lindroth, Anders M.
Transcriptome and protein interaction profiling in cancer cells with mutations in histone H3.3
title Transcriptome and protein interaction profiling in cancer cells with mutations in histone H3.3
title_full Transcriptome and protein interaction profiling in cancer cells with mutations in histone H3.3
title_fullStr Transcriptome and protein interaction profiling in cancer cells with mutations in histone H3.3
title_full_unstemmed Transcriptome and protein interaction profiling in cancer cells with mutations in histone H3.3
title_short Transcriptome and protein interaction profiling in cancer cells with mutations in histone H3.3
title_sort transcriptome and protein interaction profiling in cancer cells with mutations in histone h3.3
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6289111/
https://www.ncbi.nlm.nih.gov/pubmed/30532024
http://dx.doi.org/10.1038/sdata.2018.283
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