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Series GSE57982 Query DataSets for GSE57982
Status Public on Aug 18, 2014
Title Transcriptome profiling in human T-ALL
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Genome-wide mapping and characterization of novel Notch-regulated long non-coding RNAs in acute leukemia
 
Overall design Total RNA was extracted from samples using the RNeasy Plus mini kit (Life Technologies, Carlsbad, CA). Samples were then subject to PolyA selection (Figures 1E, 5F and 5G only) using oligo-dT beads (Life Technologies, Carlsbad, CA) or rRNA removal (all other samples) using the Ribo-Zero kit (Epicentre, Madison, WI) according to the manufacturers instructions. The resulting RNA samples were then used as input for library construction using the dUTP method as described by Parkhomchuck et al, 2009. RNA libraries were then sequenced on the Illumina HiSeq 2000 or 2500 using 50bp paired-end reads.
 
Contributor(s) Trimarchi T
Citation(s) 25083870
Submission date May 27, 2014
Last update date May 15, 2019
Contact name Thomas Trimarchi
Organization name NYU School of Medicine
Department Pathology
Lab Iannis Aifantis
Street address 550 First Ave Smilow 1307
City New York
State/province NY
ZIP/Postal code 10016
Country USA
 
Platforms (1)
GPL11154 Illumina HiSeq 2000 (Homo sapiens)
Samples (31)
GSM1399180 Human whole thymus extract_1
GSM1399181 Human whole thymus extract_2
GSM1399182 Primary T-ALL sample_1
Relations
BioProject PRJNA248647
SRA SRP042286

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
GSE57982_Ren_vs_shLUNAR.1_gene_exp.txt.gz 720.0 Kb (ftp)(http) TXT
GSE57982_Ren_vs_shLUNAR.2_gene_exp.txt.gz 702.0 Kb (ftp)(http) TXT
GSE57982_cutll1_gene_exp.diff.txt.gz 838.6 Kb (ftp)(http) TXT
GSE57982_hpball_gene_exp.diff.txt.gz 842.5 Kb (ftp)(http) TXT
GSE57982_primaryFpkmMatrix.txt.gz 905.3 Kb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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