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Transcriptomic profiling of MCL-1 inhibitor response in lymphoma models in vitro and in vivo

GSE314230 Homo sapiens (human) Single-cell RNA-seq 24 samples Submitted 2026/03/11 Platform GPL18573Platform GPL34328
At a glance

Single-cell RNA-seq · human · 24 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Homo sapiens (human)
Samples
24 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
Synthetic lethality of MCL-1 inhibition and CAR-T therapy in aggressive B-cell lymphomaLeukemia · 2026
Summary (written by the submitters)
This study presents single-cell RNA sequencing (scRNA-seq) profiling of lymphoma models treated with the MCL-1 inhibitor S63845. Human Namalwa lymphoma cellsand mouse Eμ-Myc lymphoma spleen samples were analyzed following vehicle control or S63845 treatment at defined time points to characterize transcriptional responses associated with drug sensitivity, persistence, and resistance.
Published in
Synthetic lethality of MCL-1 inhibition and CAR-T therapy in aggressive B-cell lymphoma
Gao J, Zhao X, Yin Q et al. · Leukemia 2026 · PMID 41680300 · doi:10.1038/s41375-026-02884-8
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 GSE314230_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1380908. Searching any of these in the dataset finder brings you back here.

Samples in this study

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