GEO series

Kevetrin induces apoptosis in TP53 wild-type and mutant acute myeloid leukemia cells

GSE137574 Homo sapiens (human) Expression microarray 24 samples Submitted 2020/09/03 Platform GPL17586

At a glance

Expression microarray · human · 24 samples

What it is: Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism: Homo sapiens (human)
Topic: Acute myeloid leukemiaThis series is part of our curated briefing on it.
Samples: 24 samples
Data you can get: A processed expression table (series matrix) and the array files, from NCBI.

Summary (written by the submitters)

Tumor protein p53 is a key regulator of several cellular pathways, including DNA repair, cell cycle and angiogenesis. Kevetrin exhibits p53-dependent as well as independent activity in solid tumors, while its effects on leukemic cells remain unknown. We analyzed the response of acute myeloid leukemia (AML) cell lines (TP53 wild-type: OCI-AML3 and MOLM-13; and TP53-mutant: KASUMI-1 and NOMO-1) to kevetrin at a concentration range of 85-340 μM.

Read the full summary ↓

Kevetrin induced cell growth arrest and apoptosis in all cell lines and in primary cells, with TP53-mutant models displaying a higher sensitivity and p53 induction. Gene expression profiling revealed a common core transcriptional program altered by drug exposure and the downregulation of glycolysis, DNA repair and unfolded protein response signatures. These findings suggest that kevetrin may be a promising therapeutic option for patients with both wild-type and TP53-mutant AML.

This dataset

Open GSE137574 in finder → Find more human microarray datasets → Acute myeloid leukemia landscape →

Download · which file do I need?

Direct links to NCBI, 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.

All supplementary files ↗

3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE137574_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Whole study · RAW.tar ↓

What the files usually look like: For arrays the series matrix is normally the normalised expression table you want; the raw array files (CEL and similar) are in the RAW.tar.

Also filed as BioProject PRJNA565968. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 32945487) ↗

Samples in this study

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+ 24 more — browse all 24 samples with per-sample file links →

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