GEO series

Inhibition of ADSS2-mediated de novo AMP biosynthesis resensitizes acute myeloid leukemia to BH3 mimetics [scRNA-seq]

GSE280054 Homo sapiens (human) Single-cell RNA-seq 2 samples Submitted 2025/11/21 Platform GPL34281

At a glance

Single-cell RNA-seq · human · 2 samples

What it is: Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism: Homo sapiens (human)
Samples: 2 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.

Summary (written by the submitters)

De novo purine synthesis is required to promote tumor growth; however, its role in therapy resistance remains elusive. Here, through a dynamic BH3-priming based CRISPR-Cas9 screen, we found that deletion of ADSS2, which encodes for an enzyme functioning in de novo AMP synthesis, re-sensitizes drug resistant acute myeloid leukemia (AML) cells to BH3 mimetics.

Read the full summary ↓

Single-cell sequencing and metabolomics analyses reveal that high ADSS2 activity in leukemia samples including those with TP53 aberrations inversely correlates with venetoclax responsiveness. Further, we developed anADSS2 antagonist, exhibiting synergism with BH3 mimetics in preclinical AML models. Mechanistically, sensitization to BH3 mimetics mediated by ADSS targeting was associated with downregulated AMPK activity, which governs mitochondrial homeostasis. AMPK activity in resistant cells promotes mitophagy to eliminate damaged mitochondria upon BH3 mimetics treatment. These data demonstrate that AMP synthesis governs venetoclax resistance, and that combining ADSS targeting with BH3 mimetic treatment could represent a promising approach against AML.

This dataset

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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.

Series matrix ↓

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 GSE280054_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓

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.

Raw reads on ENA ↗

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 PRJNA1176037 and SRA study SRP540184. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Samples in this study

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+ 2 more — browse all 2 samples with per-sample file links →

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