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Series GSE110457 Query DataSets for GSE110457
Status Public on Feb 12, 2019
Title Identification of transcriptional network regulated by FGFR1 fusion kinase in stem cell leukemia and lymphoma (SCLL)
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary Purpose: Oncogenic transformation of hematopoietic stem cells by chimeric fusion kinases causing constitutive activation of FGFR1 leads to a stem cell leukemia/lymphoma (SCLL) syndrome, accompanied by widespread dysregulation of gene activity. The goals of this study are to use NGS-derived transcriptome profiling (RNA-seq) to identify genes regulated by FGFR1 fusion kinase in SCLL.
Methods: Three different cell models for SCLL, respectively BBC2 (B cell lymphoblastic leukemia/lymphoma), ZNF112 (B cell lymphoblastic leukemia/lymphoma) and BCRF8C (myloid leukemia) were treated with selective FGFR1 kinase inhibitor,then the total RNA from treatment and viechel control were isolated for RNA-Seq analysis.
Results: A global gene experssion change is generated, and provides fundamental information for demostration of molecular mechanisms in FGFR1 driven leukemogenesis.
 
Overall design comparasion of the transcriptomes of SCLL lines with and without the inhibition of FGFR1
 
Contributor(s) Cowell J, Hu T
Citation(s) 29720732, 31628193
Submission date Feb 12, 2018
Last update date Oct 23, 2019
Contact name John Cowell
E-mail(s) jcowell@augusta.edu
Phone 7067214381
Organization name Augusta University
Street address 1410 Laney-Walker Blvd
City Augusta
State/province GA
ZIP/Postal code 30912
Country USA
 
Platforms (2)
GPL17021 Illumina HiSeq 2500 (Mus musculus)
GPL19057 Illumina NextSeq 500 (Mus musculus)
Samples (6)
GSM2991449 BBCBGJ
GSM2991450 BBCDMSO
GSM2991451 ZNFBGJ
Relations
BioProject PRJNA433808
SRA SRP132677

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
GSE110457_BBC_ZNF_BCR_combinedfpkm.txt.gz 649.0 Kb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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