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Series GSE108855 Query DataSets for GSE108855
Status Public on Apr 29, 2018
Title Cell of origin dictates aggression and stem cell activity in acute lymphoblastic leukemia
Organism Danio rerio
Experiment type Expression profiling by high throughput sequencing
Summary Subclassification of lymphoid neoplasms is often based on the presumed cell of origin based on T and B progenitor gene expression and the effect of cell lineage on influencing functional characteristics such as aggression and self-renewal capacity is largely unknown, accounted for in part, by lack of experimental models to address these questions. Here, we have used transgenic zebrafish to create the first models of Myc-induced B-ALL and mixed phenotypic B/T-ALL, opening new avenues for studying the these leukemias in the zebrafish. Our work has utilized syngeneic strain zebrafish, limiting dilution cell transplantation, and the widely reported rag2-Myc transgenic model to provide new understanding of how strain differences can underlie leukemia onset in the zebrafish model. Even more importantly, our work now for the first time, has allowed assessment of cell lineage on dictating aggression and leukemia stem cell frequency independent of the underlying oncogenic driver. In total, our work uncoveres that T-ALLs are more aggressive and have higher numbers of leukemia stem cells when compared with B-ALL and mixed phenotypic ALL. Furthermore, analysis of our biphenotypic B/T-ALL suggests that B cell pathways lock cells in less aggressive and lower stem cell fates and are dominant in regulating these processes when T cell pathways are co-regulated within ALL cells.
 
Overall design The goal of our study is to determine the transcriptional profiles of high and low self-renewing capacity tumors. 20 samples total: 11 unique samples (9 samples with biological replicates), 6 high self-renewing tumors (>1% cells could initiate leukemia) and 5 low self-renewing tumors (<1% of cells could initiate leukemia).
 
Contributor(s) Garcia E, Langenau D
Citation(s) 29749398
Submission date Jan 08, 2018
Last update date Jan 14, 2019
Contact name Sowmya Iyer
E-mail(s) sowmya.iyer@mgh.harvard.edu
Organization name Massachusetts General Hospital
Department Pathology
Street address 149 13th St
City Boston
State/province MA
ZIP/Postal code 02129
Country USA
 
Platforms (1)
GPL14875 Illumina HiSeq 2000 (Danio rerio)
Samples (20)
GSM2915038 8.4.1.1.1
GSM2915039 14.1.1.1
GSM2915040 4.3.1A
Relations
BioProject PRJNA428951
SRA SRP130950

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
GSE108855_counts_matrix.txt.gz 713.9 Kb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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