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Multi-platform genome-wide analysis of melanoma progression to brain metastasis

Melanoma has a high tendency to metastasize to brain tissue. The understanding about the molecular alterations of early-stage melanoma progression to brain metastasis (MBM) is very limited. Identifying MBM-specific genomic and epigenomic alterations is a key initial step in understanding its aggress...

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Detalles Bibliográficos
Autores principales: Marzese, Diego M., Huynh, Jamie L., Kawas, Neal P., Hoon, Dave S.B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4311262/
https://www.ncbi.nlm.nih.gov/pubmed/25646156
http://dx.doi.org/10.1016/j.gdata.2014.06.007
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author Marzese, Diego M.
Huynh, Jamie L.
Kawas, Neal P.
Hoon, Dave S.B.
author_facet Marzese, Diego M.
Huynh, Jamie L.
Kawas, Neal P.
Hoon, Dave S.B.
author_sort Marzese, Diego M.
collection PubMed
description Melanoma has a high tendency to metastasize to brain tissue. The understanding about the molecular alterations of early-stage melanoma progression to brain metastasis (MBM) is very limited. Identifying MBM-specific genomic and epigenomic alterations is a key initial step in understanding its aggressive nature and identifying specific novel druggable targets. Here, we describe a multi-platform dataset generated with different stages of melanoma progression to MBM. This data includes genome-wide DNA methylation (Illumina HM450K BeadChip), gene expression (Affymetrix HuEx 1.0 ST array), single nucleotide polymorphisms (SNPs) and copy number variation (CNV; Affymetrix SNP 6.0 array) analyses of melanocyte cells (MNCs), primary melanoma tumors (PRMs), lymph node metastases (LNMs) and MBMs. The analysis of this data has been reported in our recently published study (Marzese et al., 2014).
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spelling pubmed-43112622015-10-19 Multi-platform genome-wide analysis of melanoma progression to brain metastasis Marzese, Diego M. Huynh, Jamie L. Kawas, Neal P. Hoon, Dave S.B. Genom Data Data in Brief Melanoma has a high tendency to metastasize to brain tissue. The understanding about the molecular alterations of early-stage melanoma progression to brain metastasis (MBM) is very limited. Identifying MBM-specific genomic and epigenomic alterations is a key initial step in understanding its aggressive nature and identifying specific novel druggable targets. Here, we describe a multi-platform dataset generated with different stages of melanoma progression to MBM. This data includes genome-wide DNA methylation (Illumina HM450K BeadChip), gene expression (Affymetrix HuEx 1.0 ST array), single nucleotide polymorphisms (SNPs) and copy number variation (CNV; Affymetrix SNP 6.0 array) analyses of melanocyte cells (MNCs), primary melanoma tumors (PRMs), lymph node metastases (LNMs) and MBMs. The analysis of this data has been reported in our recently published study (Marzese et al., 2014). Elsevier 2014-06-16 /pmc/articles/PMC4311262/ /pubmed/25646156 http://dx.doi.org/10.1016/j.gdata.2014.06.007 Text en © 2014 The Authors http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).
spellingShingle Data in Brief
Marzese, Diego M.
Huynh, Jamie L.
Kawas, Neal P.
Hoon, Dave S.B.
Multi-platform genome-wide analysis of melanoma progression to brain metastasis
title Multi-platform genome-wide analysis of melanoma progression to brain metastasis
title_full Multi-platform genome-wide analysis of melanoma progression to brain metastasis
title_fullStr Multi-platform genome-wide analysis of melanoma progression to brain metastasis
title_full_unstemmed Multi-platform genome-wide analysis of melanoma progression to brain metastasis
title_short Multi-platform genome-wide analysis of melanoma progression to brain metastasis
title_sort multi-platform genome-wide analysis of melanoma progression to brain metastasis
topic Data in Brief
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4311262/
https://www.ncbi.nlm.nih.gov/pubmed/25646156
http://dx.doi.org/10.1016/j.gdata.2014.06.007
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