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Series GSE83142 Query DataSets for GSE83142
Status Public on Dec 06, 2016
Title Identification of rare, dormant and therapy resistant stem cells in acute lymphoblastic leukemia
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Tumor relapse is associated with dismal prognosis, but responsible biological principles remain incompletely understood. To isolate and characterize relapse-inducing cells, we used genetic engineering and proliferation-sensitive dyes in patient-derived xenografts of acute lymphoblastic leukemia (ALL). We identified a rare subpopulation that resembled relapse-inducing cells with combined properties of long-term dormancy, treatment resistance, and stemness. Single-cell and bulk expression profiling revealed their similarity to primary ALL cells isolated from pediatric and adult patients at minimal residual disease (MRD). Therapeutically adverse characteristics were reversible, as resistant, dormant cells became sensitive to treatment and started proliferating when dissociated from the in vivo environment. Our data suggest that ALL patients might profit from therapeutic strategies that release MRD cells from the niche.
 
Overall design Gene expression profiles from two PDX ALL Samples (ALL-199 & ALL-265) were generated for either dormant (LRC) vs. dividing (non-LRC) cells or drug treated vs. non-treated cells. For single cell analysis one mouse were analyzed for each condition.
 
Contributor(s) Özdemir E, Ziegenhain C
Citation(s) 27916615
Submission date Jun 09, 2016
Last update date May 15, 2019
Contact name Christoph Ziegenhain
E-mail(s) ziegenhain@bio.lmu.de
Organization name Ludwig-Maximilians University Munich
Department Department Biology II
Lab Anthropology & Human genomics
Street address Großhaderner Str. 2
City Martinsried
State/province Bavaria
ZIP/Postal code 82152
Country Germany
 
Platforms (1)
GPL18460 Illumina HiSeq 1500 (Homo sapiens)
Samples (228)
GSM2194988 bulk RNA-seq M1283LRC
GSM2194989 bulk RNA-seq M1283nonLRC
GSM2194990 bulk RNA-seq M1284LRC
Relations
BioProject PRJNA325123
SRA SRP076334

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE83142_ALL199_MRD_counts.txt.gz 1.8 Mb (ftp)(http) TXT
GSE83142_LRCptsc.counts.txt.gz 52.1 Kb (ftp)(http) TXT
GSE83142_MRD199bulk.counts.txt.gz 435.6 Kb (ftp)(http) TXT
GSE83142_PatientMRD.counts.txt.gz 128.7 Kb (ftp)(http) TXT
GSE83142_RAW.tar 1.9 Mb (http)(custom) TAR (of TXT)
GSE83142_StemBbulkLRC.counts.txt.gz 148.8 Kb (ftp)(http) TXT
GSE83142_single_cell_countdata_LRC_validcells.txt.gz 665.9 Kb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record
Processed data provided as supplementary file

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