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Deep sequencing of mRNA in CD24(−) and CD24(+) mammary carcinoma Mvt1 cell line

CD24 is an anchored cell surface marker that is highly expressed in cancer cells (Lee et al., 2009) and its expression is associated with poorer outcome of cancer patients (Kristiansen et al., 2003). Phenotype comparison between two subpopulations derived from the Mvt1 cell line, CD24(−) cells (with...

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Autores principales: Rostoker, Ran, Jayaprakash, Anitha D., Sachidanandam, Ravi, LeRoith, Derek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4583690/
https://www.ncbi.nlm.nih.gov/pubmed/26484297
http://dx.doi.org/10.1016/j.gdata.2015.06.032
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author Rostoker, Ran
Jayaprakash, Anitha D.
Sachidanandam, Ravi
LeRoith, Derek
author_facet Rostoker, Ran
Jayaprakash, Anitha D.
Sachidanandam, Ravi
LeRoith, Derek
author_sort Rostoker, Ran
collection PubMed
description CD24 is an anchored cell surface marker that is highly expressed in cancer cells (Lee et al., 2009) and its expression is associated with poorer outcome of cancer patients (Kristiansen et al., 2003). Phenotype comparison between two subpopulations derived from the Mvt1 cell line, CD24(−) cells (with no CD24 cell surface expression) and the CD24(+) cells, identified high tumorigenic capacity for the CD24(+) cells. In order to reveal the transcripts that support the CD24(+) aggressive and invasive phenotype we compared the gene profiles of these two subpopulations. mRNA profiles of CD24(−) and CD24(+) cells were generated by deep sequencing, in triplicate, using an Illumina HiSeq 2500. Here we provide a detailed description of the mRNA-seq analysis from our recent study (Rostoker et al., 2015). The mRNA-seq data have been deposited in the NCBI GEO database (accession number GSE68746).
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spelling pubmed-45836902015-10-19 Deep sequencing of mRNA in CD24(−) and CD24(+) mammary carcinoma Mvt1 cell line Rostoker, Ran Jayaprakash, Anitha D. Sachidanandam, Ravi LeRoith, Derek Genom Data Data in Brief CD24 is an anchored cell surface marker that is highly expressed in cancer cells (Lee et al., 2009) and its expression is associated with poorer outcome of cancer patients (Kristiansen et al., 2003). Phenotype comparison between two subpopulations derived from the Mvt1 cell line, CD24(−) cells (with no CD24 cell surface expression) and the CD24(+) cells, identified high tumorigenic capacity for the CD24(+) cells. In order to reveal the transcripts that support the CD24(+) aggressive and invasive phenotype we compared the gene profiles of these two subpopulations. mRNA profiles of CD24(−) and CD24(+) cells were generated by deep sequencing, in triplicate, using an Illumina HiSeq 2500. Here we provide a detailed description of the mRNA-seq analysis from our recent study (Rostoker et al., 2015). The mRNA-seq data have been deposited in the NCBI GEO database (accession number GSE68746). Elsevier 2015-07-09 /pmc/articles/PMC4583690/ /pubmed/26484297 http://dx.doi.org/10.1016/j.gdata.2015.06.032 Text en © 2015 The Author http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data in Brief
Rostoker, Ran
Jayaprakash, Anitha D.
Sachidanandam, Ravi
LeRoith, Derek
Deep sequencing of mRNA in CD24(−) and CD24(+) mammary carcinoma Mvt1 cell line
title Deep sequencing of mRNA in CD24(−) and CD24(+) mammary carcinoma Mvt1 cell line
title_full Deep sequencing of mRNA in CD24(−) and CD24(+) mammary carcinoma Mvt1 cell line
title_fullStr Deep sequencing of mRNA in CD24(−) and CD24(+) mammary carcinoma Mvt1 cell line
title_full_unstemmed Deep sequencing of mRNA in CD24(−) and CD24(+) mammary carcinoma Mvt1 cell line
title_short Deep sequencing of mRNA in CD24(−) and CD24(+) mammary carcinoma Mvt1 cell line
title_sort deep sequencing of mrna in cd24(−) and cd24(+) mammary carcinoma mvt1 cell line
topic Data in Brief
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4583690/
https://www.ncbi.nlm.nih.gov/pubmed/26484297
http://dx.doi.org/10.1016/j.gdata.2015.06.032
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