Cargando…

Analysis of telomerase target gene expression effects from murine models in patient cohorts by homology translation and random survival forest modeling

Acute myeloid leukemia (AML) is an aggressive and rapidly fatal blood cancer that affects patients of any age group. Despite an initial response to standard chemotherapy, most patients relapse and this relapse is mediated by leukemia stem cell (LSC) populations. We identified a functional requiremen...

Descripción completa

Detalles Bibliográficos
Autores principales: Bagger, Frederik Otzen, Bruedigam, Claudia, Lane, Steven W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4778749/
https://www.ncbi.nlm.nih.gov/pubmed/26981425
http://dx.doi.org/10.1016/j.gdata.2016.01.014
_version_ 1782419514769539072
author Bagger, Frederik Otzen
Bruedigam, Claudia
Lane, Steven W.
author_facet Bagger, Frederik Otzen
Bruedigam, Claudia
Lane, Steven W.
author_sort Bagger, Frederik Otzen
collection PubMed
description Acute myeloid leukemia (AML) is an aggressive and rapidly fatal blood cancer that affects patients of any age group. Despite an initial response to standard chemotherapy, most patients relapse and this relapse is mediated by leukemia stem cell (LSC) populations. We identified a functional requirement for telomerase in sustaining LSC populations in murine models of AML and validated this requirement using an inhibitor of telomerase in human AML. Here, we describe in detail the contents, quality control and methods of the gene expression analysis used in the published study (Gene Expression Omnibus GSE63242). Additionally, we provide annotated gene lists of telomerase regulated genes in AML and R code snippets to access and analyze the data used in the original manuscript.
format Online
Article
Text
id pubmed-4778749
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-47787492016-03-15 Analysis of telomerase target gene expression effects from murine models in patient cohorts by homology translation and random survival forest modeling Bagger, Frederik Otzen Bruedigam, Claudia Lane, Steven W. Genom Data Data in Brief Acute myeloid leukemia (AML) is an aggressive and rapidly fatal blood cancer that affects patients of any age group. Despite an initial response to standard chemotherapy, most patients relapse and this relapse is mediated by leukemia stem cell (LSC) populations. We identified a functional requirement for telomerase in sustaining LSC populations in murine models of AML and validated this requirement using an inhibitor of telomerase in human AML. Here, we describe in detail the contents, quality control and methods of the gene expression analysis used in the published study (Gene Expression Omnibus GSE63242). Additionally, we provide annotated gene lists of telomerase regulated genes in AML and R code snippets to access and analyze the data used in the original manuscript. Elsevier 2016-01-28 /pmc/articles/PMC4778749/ /pubmed/26981425 http://dx.doi.org/10.1016/j.gdata.2016.01.014 Text en © 2016 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data in Brief
Bagger, Frederik Otzen
Bruedigam, Claudia
Lane, Steven W.
Analysis of telomerase target gene expression effects from murine models in patient cohorts by homology translation and random survival forest modeling
title Analysis of telomerase target gene expression effects from murine models in patient cohorts by homology translation and random survival forest modeling
title_full Analysis of telomerase target gene expression effects from murine models in patient cohorts by homology translation and random survival forest modeling
title_fullStr Analysis of telomerase target gene expression effects from murine models in patient cohorts by homology translation and random survival forest modeling
title_full_unstemmed Analysis of telomerase target gene expression effects from murine models in patient cohorts by homology translation and random survival forest modeling
title_short Analysis of telomerase target gene expression effects from murine models in patient cohorts by homology translation and random survival forest modeling
title_sort analysis of telomerase target gene expression effects from murine models in patient cohorts by homology translation and random survival forest modeling
topic Data in Brief
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4778749/
https://www.ncbi.nlm.nih.gov/pubmed/26981425
http://dx.doi.org/10.1016/j.gdata.2016.01.014
work_keys_str_mv AT baggerfrederikotzen analysisoftelomerasetargetgeneexpressioneffectsfrommurinemodelsinpatientcohortsbyhomologytranslationandrandomsurvivalforestmodeling
AT bruedigamclaudia analysisoftelomerasetargetgeneexpressioneffectsfrommurinemodelsinpatientcohortsbyhomologytranslationandrandomsurvivalforestmodeling
AT lanestevenw analysisoftelomerasetargetgeneexpressioneffectsfrommurinemodelsinpatientcohortsbyhomologytranslationandrandomsurvivalforestmodeling