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Immunotherapeutic targeting of surfaceome heterogeneity in AML

GSE241989 Homo sapiens (human) Single-cell RNA-seq 18 samples Submitted 2024/05/21 Platform GPL24676Platform GPL18573
At a glance

Single-cell RNA-seq · human · 18 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)
Topic
Acute myeloid leukemiaThis series is part of our curated briefing on it.
Samples
18 samples: 18 samples, each with a distinct title — no replicated groupsGroups 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
Immunotherapeutic targeting of surfaceome heterogeneity in AMLCell reports · 2024
Summary (written by the submitters)
Immunotherapy remains underexploited in AML compared to other hematological malignancies. Currently, gemtuzumab ozogamicin is the only therapeutic antibody approved for this disease. To identify potential targets for immunotherapeutic intervention, we analyzed the surface proteome of 100 genetically diverse primary human AML specimens for the identification of cell surface proteins and conducted single-cell transcriptome analysis on a subset of these specimens to assess antigen expression at the sub-population level.
Read the full summary ↓
Through this comprehensive effort, we successfully identified numerous antigens and markers preferentially expressed by primitive AML cells. Many identified antigens are targeted by therapeutic antibodies currently under clinical evaluation for various cancer types, highlighting the potential therapeutic value of the approach. Importantly, this initiative led to the uncovering of AML heterogeneity at the surfaceome level, identifying several antigens and potential LSC markers characterising AML subgroups and positioning immunotherapy as a promising approach to target AML subgroup specificities.
Published in
Immunotherapeutic targeting of surfaceome heterogeneity in AML
Bordeleau ME, Audemard É, Métois A et al. · Cell reports 2024 · PMID 38838225 · doi:10.1016/j.celrep.2024.114260
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 GSE241989_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 PRJNA1010863 and SRA study SRP457638. Searching any of these in the dataset finder brings you back here.

Study design
18 samples, each with a distinct title — no replicated groups

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

How we read this: Read from 18 sample titles: 18 distinct titles with little repetition. 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.

Samples in this study
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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.