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Sample GSM6285273 Query DataSets for GSM6285273
Status Public on Jul 08, 2022
Title SU-DHL-4 AZD N2
Sample type SRA
 
Source name Peritoneal effusion
Organism Homo sapiens
Characteristics tissue: Peritoneal effusion
cell line: SU-DHL-4
cell type: B cell lymphoma
genotype: wt
treatment: AZD
Treatment protocol SU-DHL-4 cells were exposed to 1µM Entospletinib (Absource Diagnostics GmbH, München, Germany), 0.01µM AZD5153 (Absource Diagnostics GmbH, München, Germany), the combination (1µM Ento+ 0.01µM AZD) or DMSO as control for 72h.
Growth protocol SU-DHL-4 cell line were maintained in RPMI 1640 supplemented with 10% heat-inactivated fetal bovine serum (FBS) and and 100 µg/ml penicillin and streptomycin in a humidified atmosphere with 5% CO2 at 37C
Extracted molecule total RNA
Extraction protocol Cell pellets were resuspended in QIAzol Lysis Reagent (QIAGEN, Venlo, Netherlands) and RNA Isolation was performed with miRNeasy Mini Kit (QIAGEN, Venlo, Netherlands) according to the manufacturer’s instructions
Poly-A RNA was enriched from 1 µg total RNA using the NEBNext Poly (A) mRNA Magnetic Isolation Module (New England Bioabs, Ipswich, USA) and sequencing libraries were prepared using the NEBNext Ultra II RNA Library Prep Kit (New England Bioabs, Ipswich, USA). Sequencing was conducted on an Illumina NextSeq500 (Illumina, San Diego, USA) as single reads with 75 bp length with a total of 480 million reads.
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model Illumina NextSeq 500
 
Data processing Base calling with Illumina Software bcl2fastq v2.19; parameters: bcl2fastq --minimum-trimmed-read-length 25 --input-dir {path} --output-dir {path}; all others: default
The RNAseq data were processed as follows. The raw reads from different lanes were concatenated before being trimmed and quality controlled using CutAdapt via TrimGalore!
Trimmed reads were aligned to the human genome (GRCh38.p13) and feature counts were performed using Rsubread
The technical replicates were then averaged, and edgeR was used to filter low read counts using the filterByExpr() function, normalize using the TMM method, and perform a differential expression analysis using the GLM method to fit a generalized linear model, specifying no intercept and with treatment group as the only covariate
All contrasts were tested using the glmQLFTest() function of edgeR, which performs an empirical Bayes quasi-likelihood F-test for each gene, and the results were corrected for multiplicity using the Benjamini-Hochberg correction
A gene was deemed significantly differentially expressed if it had a corrected p-value of < 0.05 and a fold-change > 2
Gene Ontology (GO) enrichment analysis was performed using the “weight01” algorithm of topGO with GO terms with a p-value of < 0.05 being taken as significant.
Assembly: hg19
Supplementary files format and content: TMM_values.txt File containg the normalized read counts
Supplementary files format and content: count_table.txt file containing the read counts
 
Submission date Jul 01, 2022
Last update date Aug 31, 2022
Contact name Sina Sender
E-mail(s) [email protected]
Organization name Rostock University Medical Center
Department Department of Medicine, Clinic III
Lab Hematology/Oncology
Street address Schillingallee 70
City Rostock
State/province Mecklenburg Vorpommern
ZIP/Postal code 18059
Country Germany
 
Platform ID GPL18573
Series (2)
GSE207382 Evaluation of the synergistic potential of simultaneous pan- or isoform specific BET and SYK inhibition in B-cell lymphoma (RNA-Seq)
GSE207383 Evaluation of the synergistic potential of simultaneous pan- or isoform specific BET and SYK inhibition in B-cell lymphoma
Relations
BioSample SAMN29474323
SRA SRX15970417

Supplementary data files not provided
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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