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Leukemic initiation in Jam-C-deficient HSPC reveals AP-1/TNF- gene expression signature as a biomarker for AML

GSE235693 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2024/07/01 Platform GPL21103
At a glance

RNA-seq (gene expression) · mouse · 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
Mus musculus (mouse)
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
Genetic deletion of JAM-C in preleukemic cells rewires leukemic stem cell gene expression program in AMLBlood advances · 2024
Summary (written by the submitters)
The leukemic stem cell score 17 (LSC-17) based on stemness gene expression signature is recognized as indicator of poor disease outcome in acute myeloid leukemia (AML). However, our understanding of the relationships between LSC and pre-leukemic cells is still incomplete. In particular, it is not known whether “niche-anchoring” of pre-leukemic cell affects disease evolution.
Read the full summary ↓
To address this issue, we conditionally inactivated the adhesion molecule Jam-C expressed by haematopoietic stem cells (HSC) and LSC in an inducible iMLL-AF9-driven AML mouse model. Deletion of Jam-C in HSC before activation of the leukemia-initiating iMLL-AF9 fusion resulted in a shift from long term (LT-HSC) to short term-HSC (ST-HSC) expansion, suggesting that transcriptional programs of leukemic HSC were altered. RNA sequencing performed on leukemic HSC and GMP isolated from diseased mice revealed that genes upregulated in Jam-C-deficient animals belonged to Activation Protein-1 (AP-1) and TNF-/NFB signalling pathways. Using three publicly available datasets of AML gene expression, we further showed that human orthologs of dysregulated genes belonged to a gene regulon distinct from the LSC-17 signature. A prognosis 14-genes score from the AP-1/TNF-/NFB gene expression signature was established and called ATIC for “AP-1/TNF- initiating cell”. ATIC was independent of the LSC-17 score and improved the stratification of AML patients obtained with the LSC-17 score suggesting that the ATIC score reflected the presence of ST-HSC-initiating AML cells at diagnosis. Collectively we provide a novel tool for understanding AML disease heterogeneity through the identification of specific transcriptional programs for leukemic stem and progenitor cells.
Published in
Genetic deletion of JAM-C in preleukemic cells rewires leukemic stem cell gene expression program in AML
Grenier JMP, Testut C, Bal M et al. · Blood advances 2024 · PMID 38954834 · doi:10.1182/bloodadvances.2023011747
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 GSE235693_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 PRJNA986914 and SRA study SRP445572. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 12 more — browse all 12 samples with per-sample file links →

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