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RNA-Seq quantitative analysis of the regulatory effects of plasma exosomes from CML patients on CML cell transcriptomes

GSE318881 Homo sapiens (human) RNA-seq (gene expression) 13 samples Submitted 2026/02/13 Platform GPL16791
At a glance

RNA-seq (gene expression) · human · 13 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
Homo sapiens (human)
Topic
Chronic myeloid leukemiaThis series is part of our curated briefing on it.
Samples
13 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)
Drug resistance frequently results in treatment failure for leukemia and leads to the progression of chronic myeloid leukemia (CML) into an accelerated or blast phase. Although new tyrosine kinase inhibitors (TKIs) and combined TKI therapies have been developed to address BCR-ABL1 mutation-induced drug resistance in CML patients, an increasing number of primitive CML cases exhibit reduced responsiveness or are unresponsive to TKIs.
Read the full summary ↓
Herein, we discovered that plasma exosomes from TKI-resistant CML patients(R-Exo) promote drug resistance in CML compared to plasma exosomes from drug-sensitive CML patients (S-Exo). To shed light on the mechanism underlying Exo-induced CML drug resistance, we performed high-throughput RNA-Seq analyses to reveal the differentially expressed genes in CML cells treated with or without plasma exosomes from healthy controls (H-Exo), S-Exo, or R-Exo. We observed a significant upregulation in the expression of drug resistance-related genes and regulatory genes associated with fatty acid metabolism in K562 cells following R-Exo treatment.
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 GSE318881_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 PRJNA1420767 and SRA study SRP676124. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 13 more — browse all 13 samples with per-sample file links →

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