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KCNN4 mediated potassium ion efflux maintains mitochondrial functions leading to platelet biogenesis

GSE295199 Homo sapiens (human) RNA-seq (gene expression) 10 samples Submitted 2026/04/20 Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 10 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)
Samples
10 samples: 5 conditions, mostly in duplicateGroups are read from the sample names, not from the paper. Check the list below.
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
KCNN4-mediated potassium ion efflux maintains mitochondrial functions leading to platelet biogenesisJournal of thrombosis and haemostasis : JTH · 2025
Summary (written by the submitters)
Background: While potassium ion (K+) is known to be vital to platelet functions, we have limited knowledge about K+ channels involved in thrombopoiesis from imMKCLs, the iPSC-derived megakaryocyte progenitor cell lines that we have established for ex vivo manufacturing of platelet products for clinical use. Objective: We aimed to elucidate how K+ channels contribute to platelet biogenesis and focused on the role of Ca2+-activated K+ channel KCNN4 (also known as KCa3.1).
Read the full summary ↓
Methods: Using imMKCLs and human cord blood hematopoietic stem cell-derived megakaryocytes (CB-megakaryocytes), we examined the dynamic changes of intracellular cations during platelet biogenesis. Along with RNA-seq profiling of K+ channels, we investigated the role of KCNN4 by using inhibitors or by direct gene knockdown in proplatelet formation or platelet production. We further examined its relationship with tubulin reorganization, mitochondrial functions, and reactive oxygen species (ROS) levels. Results: Continuous reduction of intracellular K+ levels ([K+]i) was observed during the 6-day of maturing imMKCLs. KCNN4 was expressed at the initiation of platelet generation in megakaryocytes and KCNN4 inhibition resulted in impaired proplatelet formation and reduced platelet productivity in imMKCLs and CB-megakaryocytes, accompanied by decreased [K+]i, diminished mitochondrial membrane potential and an elevated level of ROS. Conclusions: Our findings suggest that the decline of [K+]i via KCNN4 is a key mechanism linking tubulin regulation, ROS, and mitochondrial functions to proplatelet formation and intact thrombopoiesis. This study sheds new light on thrombopoiesis mechanism that contributes to improved ex vivo platelet manufacturing.
Published in
KCNN4-mediated potassium ion efflux maintains mitochondrial functions leading to platelet biogenesis
Chen Q, Nakamura S, Yamamoto T et al. · Journal of thrombosis and haemostasis : JTH 2025 · PMID 40412718 · doi:10.1016/j.jtha.2025.05.013
This dataset
Open GSE295199 in finder → Find more human RNA-seq datasets →
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 GSE295199_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: 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 PRJNA1253693 and SRA study SRP580303. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40412718) ↗
Study design
5 conditions, mostly in duplicate
SeV2 CL-7 Dox-OFF day 0 ×2 SeV2 CL-7 Dox-OFF day 1 ×2 SeV2 CL-7 Dox-OFF day 2 ×2 SeV2 CL-7 Dox-OFF day 3 ×2 SeV2 CL-7 Dox-OFF day 4 ×2

Supports a between-group comparison across 10 samples.

How we read this: 5 replicated groups read from 10 sample titles; they account for 10 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
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