Omics · study · 2026
A Role for Rapid Transcription Dynamics in Cytarabine Resistance in Acute Myeloid Leukemia [ATAC-seq]
Listed in NCBI GEO
Chemotherapy resistance remains a critical challenge in the treatment of patients with cancer including acute myeloid leukemia (AML).
Description
While genetic alterations contribute to chemotherapy resistance, rapid-adaptive non-genetic mechanisms, particularly transcription dynamics, remain poorly understood. Given the role of cell-intrinsic transcriptional variability in cell fate decisions, understanding and targeting chemotherapy-induced changes in transcription dynamics could offer new strategies to prevent chemotherapy resistance.
In this study, we demonstrate that short-term treatment with the widely used chemotherapeutic cytarabine (AraC) leads to the rapid emergence of RNA-induced AML cells with increased AraC resistance in both cell lines as well as primary patient samples. Mechanistically, through global transcriptomic analyses and targeted high-resolution analysis of transcription dynamics using single-molecule RNA FISH, we found rapid induction of transcriptional dynamics and upregulation of key transcription factors (TFs) - which we term “AraC rapid response TFs (ARR-TFs)” and which include PU.1 and GATA1 – following chemotherapy treatment.
Read the rest (2 more)
At a functional level, short-term pre- and co-treatment with RNA transcription inhibitors effectively suppressed chemotherapy-induced RNA induction and prevented resistance acquisition, in both in vitro and in vivo models. Furthermore, we found that CRISPR-mediated suppression of PU.1 and GATA1 induction significantly attenuated AraC resistance. In summary, our findings reveal a previously unrecognized role of rapid and early adaptive transcriptional dynamics in AML chemotherapy resistance, highlighting master TFs as key regulators of drug resistance.
These insights offer a novel, pharmacologically targetable and accessible approach to alleviate chemotherapy resistance, and encourage further testing with the ultimate goal to improve AML treatment outcomes.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE324nnn/GSE324058 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE324058 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1433362 ncbi.nlm.nih.gov/bioproject/PRJNA1433362 ↗
project · from NCBI GEO
- PubMed 42149820 pubmed.ncbi.nlm.nih.gov/42149820 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Genome binding/occupancy profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Cancer 75%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE324058 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:cancer | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:genome-binding-occupancy-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |