Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Gene expression profiling in the leukemic stem cell-enriched CD34+ fraction identifies target genes that predict prognosis in normal karyotype AML


ABSTRACT: Mononuclear cells from AML patients (n=46) were sorted into CD34+ and CD34- subfractions and genome-wide expression analysis was performed using Illumina BeadChip Arrays (HT12 v3). Of 2 AML samples only the CD34+ fraction could be analyzed. AML CD34+ and CD34- gene expression was compared to a large group of normal CD34+ bone marrow cells (n=31). Mononuclear cells from AML patients (n=46) were sorted into CD34+ (46) and CD34- (44) subfractions and genome-wide expression analysis was performed using Illumina BeadChip Arrays (HT12 v3). AML CD34+ and CD34- gene expression was compared to a large group of normal CD34+ bone marrow cells (n=31).

ORGANISM(S): Homo sapiens

SUBMITTER: JJ Schuringa 

PROVIDER: E-GEOD-30029 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications

Gene expression profiling in the leukemic stem cell-enriched CD34+ fraction identifies target genes that predict prognosis in normal karyotype AML.

de Jonge H J M HJ   Woolthuis C M CM   Vos A Z AZ   Mulder A A   van den Berg E E   Kluin P M PM   van der Weide K K   de Bont E S J M ES   Huls G G   Vellenga E E   Schuringa J J JJ  

Leukemia 20110715 12


In order to identify acute myeloid leukemia (AML) CD34(+)-specific gene expression profiles, mononuclear cells from AML patients (n=46) were sorted into CD34(+) and CD34(-) subfractions, and genome-wide expression analysis was performed using Illumina BeadChip Arrays. AML CD34(+) and CD34(-) gene expression was compared with a large group of normal CD34(+) bone marrow (BM) cells (n=31). Unsupervised hierarchical clustering analysis showed that CD34(+) AML samples belonged to a distinct cluster c  ...[more]

Similar Datasets

2011-07-19 | GSE30029 | GEO
2022-03-15 | PXD030463 | Pride
2014-10-10 | E-GEOD-62223 | biostudies-arrayexpress
2011-11-30 | E-GEOD-33243 | biostudies-arrayexpress
2019-10-02 | E-MTAB-3873 | biostudies-arrayexpress
2010-02-19 | E-TABM-909 | biostudies-arrayexpress
2008-10-26 | E-GEOD-12326 | biostudies-arrayexpress
2011-01-22 | E-GEOD-26775 | biostudies-arrayexpress
2015-12-09 | E-MTAB-3328 | biostudies-arrayexpress
2009-06-01 | E-GEOD-16015 | biostudies-arrayexpress