Expression Data from DLBCL Cell Line U2932 (Parental, CDC-Treated, and CDC-Resistant) and 8 DLBCL Patient Samples (5 High CDC-Sensitive, 3 Low CDC-Sensitive)
RNA-seq (gene expression) · human · 20 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Homo sapiens (human)
- Topic
- Diffuse large B-cell lymphomaThis series is part of our curated briefing on it.
- Samples
- 20 samples: 5 conditions, mostly with about 4 replicates eachGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- Cytoskeletal dynamics and mitochondrial rearrangements drive cell fate upon antibody-induced complement activation in DLBCLBlood cancer journal · 2025
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE280799_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1180552 and SRA study SRP542390. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 20 samples.
How we read this: 5 replicated groups read from 20 sample titles; they account for 20 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM8605917 U2932-WT-1 U2932-WT
- GSM8605918 U2932-WT-2 U2932-WT
- GSM8605919 U2932-WT-3 U2932-WT
- GSM8605920 U2932-WT-4 U2932-WT
- GSM8605921 U2932-Tr-1 U2932-T
- GSM8605922 U2932-Tr-2 U2932-T
- GSM8605923 U2932-Tr-3 U2932-T
- GSM8605924 U2932-Tr-4 U2932-T
- GSM8605925 U2932-R-1 U2932
- GSM8605926 U2932-R-2 U2932
- GSM8605927 U2932-R-3 U2932
- GSM8605928 U2932-R-4 U2932
- GSM8605929 High-CDC-sensitive-1 High-CDC-sensitive
- GSM8605930 High-CDC-sensitive-2 High-CDC-sensitive
- GSM8605931 High-CDC-sensitive-3 High-CDC-sensitive
- GSM8605932 High-CDC-sensitive-4 High-CDC-sensitive
- GSM8605933 High-CDC-sensitive-5 High-CDC-sensitive
- GSM8605934 Low-CDC-sensitive-1 Low-CDC-sensitive
- GSM8605935 Low-CDC-sensitive-2 Low-CDC-sensitive
- GSM8605936 Low-CDC-sensitive-3 Low-CDC-sensitive
- GSE252306 Comparing gene expression in ABT-199 (venetoclax) sensitive and resistant diffuse large B cell lymphoma cell (DLBCL) lines 12 samples same disease briefing · shares dlbcl, line
- GSE283388 Gene Expression Profiling in Diffuse Large B-Cell Lymphoma (DLBCL) Cell Lines Treated with Selinexor 12 samples same disease briefing · shares dlbcl, line
- GSE224867 RNA-seq analysis of DLBCL cell lines in response to chemotherapy 36 samples same disease briefing · shares dlbcl, line
- GSE211451 Targeting AURKA to induce synthetic lethality in CREBBP-deficient DLBCL via attenuation of MYC expression 8 samples same disease briefing · shares dlbcl
- GSE231624 (1) Effect of KLHL6 loss on the transcriptome in DLBCL upon NOTCH ligand stimulation. (2) Effect of KLHL6 and NOTCH2 loss on the transcriptome in DLBCL. (3) Effect of DLBCL-associated NOTCH2 mutants on the transcriptome in DLBCL. 48 samples same disease briefing · shares dlbcl
- GSE277665 DOT1L and EZH2 cooperatively repress PRC2 targets to maintain the GC B cell identity in DLBCL [RNA-seq] 48 samples same disease briefing · shares dlbcl
- GSE252690 Increased CCL2/CCR2 axis in MYC/BCL2 double-expressor DLBCL promotes tumor progression by increasing M2 macrophages 28 samples same disease briefing · shares dlbcl
- GSE228738 HDAC7 is essential in early pre-germinal center formation and its deregulation is associated with DLBCL 12 samples same disease briefing · shares dlbcl
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.