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 and Lane, Steven W. (2016) Analysis of telomerase target gene expression effects from murine models in patient cohorts by homology translation and random survival forest modeling. Genomics Data, 7 275-280. doi:10.1016/j.gdata.2016.01.014


Author Bagger, Frederik Otzen
Bruedigam, Claudia
Lane, Steven W.
Title Analysis of telomerase target gene expression effects from murine models in patient cohorts by homology translation and random survival forest modeling
Journal name Genomics Data   Check publisher's open access policy
ISSN 2213-5960
Publication date 2016-03-01
Year available 2016
Sub-type Article (original research)
DOI 10.1016/j.gdata.2016.01.014
Open Access Status DOI
Volume 7
Start page 275
End page 280
Total pages 6
Place of publication Amsterdam, Netherlands
Publisher Elsevier BV
Collection year 2017
Language eng
Abstract 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.
Keyword AML
Leukemia
Stem cells
Telomerase
Telomere
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
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