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Comparing gene expression in ABT-199 (venetoclax) sensitive and resistant diffuse large B cell lymphoma cell (DLBCL) lines

GSE252306 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2024/06/20 Platform GPL20301Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 12 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
12 samples
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
Identifying Targetable Vulnerabilities to Circumvent or Overcome Venetoclax Resistance in Diffuse Large B-Cell LymphomaCancers · 2024
Summary (written by the submitters)
RNA-sequencing was performed to evaluate gene expression changes between ABT-199 (venetoclax) sensitive and resistant matched diffuse large B cell lymphoma cell lines
Published in
Identifying Targetable Vulnerabilities to Circumvent or Overcome Venetoclax Resistance in Diffuse Large B-Cell Lymphoma
Adams CM, McBride A, Michener P et al. · Cancers 2024 · PMID 38893249 · doi:10.3390/cancers16112130
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE252306_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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 PRJNA1059617 and SRA study SRP480806. Searching any of these in the dataset finder brings you back here.

Study design
A cohort of 12 individual samples

The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Sample titles run CE-7 … CE-30 and carry no group information.

Samples in this study
More Diffuse large B-cell lymphoma datasets

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