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Activation of the SRC/MEK/ERK Pathway by Arsenic Disulfide Restores Megakaryopoiesis and Platelet Production in Myelodysplastic Syndrome

GSE336313 root; Homo sapiens RNA-seq (gene expression) 9 samples Submitted 2026/06/30 Platform GPL24676
At a glance

RNA-seq (gene expression) · root; Homo sapiens · 9 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
root; Homo sapiens
Topic
Myelodysplastic syndromesThis series is part of our curated briefing on it.
Samples
9 samples: 3 × control, vs 3 × As2S2, vs 3 × PMA,Groups 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.
Summary (written by the submitters)
Thrombocytopenia is a common and clinically significant complication of myelodysplastic syndrome (MDS), but effective therapies directly targeting megakaryopoiesis are limited. Sanzi Huangshi Pill (SZHSP), a traditional Chinese medicine formula containing arsenic disulfide (As2S2), has been found to have haematopoietic effects in clinical settings, but the mechanisms involved have yet to be fully explained.
Read the full summary ↓
In this study, the effects of SZHSP and As2S2 on megakaryocyte differentiation were evaluated in NUP98-HOXD13 transgenic mice and Meg-01 cells. Through haematological analyses, flow cytometry, molecular assays, network pharmacology, RNA sequencing, and pharmacological inhibition studies, we found that SZHSP significantly improved thrombocytopenia in MDS mice, increased the proportion of mature CD41+CD42+ megakaryocytes, and up-regulated the expression of Gata-1, Fog1, and Fli1. In vitro, both SZHSP-containing serum and As2S2 induced megakaryocytic differentiation and increased lineage-associated markers in Meg-01 cells. Transcriptomic analysis and network pharmacology demonstrated the activation of MAPK-related pathways and megakaryopoiesis-associated gene programs, identifying SRC and MAPK signaling as important regulatory nodes. Mechanistic studies further revealed that As2S2 increased the phosphorylation of SRC, MEK, and ERK, and the pharmacological inhibition of SRC significantly reduced the differentiation-promoting effects of As2S2. In conclusion, SZHSP and its major active ingredient As2S2 promote megakaryocyte differentiation and platelet recovery by activating the SRC/MEK/ERK signaling pathway, offering mechanistic evidence for SZHSP as a potential differentiation-based therapeutic approach for MDS-associated thrombocytopenia.
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 GSE336313_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 PRJNA1481242 and SRA study SRP711977. Searching any of these in the dataset finder brings you back here.

Study design
3 × control, vs 3 × As2S2, vs 3 × PMA,

Supports a between-group comparison across 9 samples.

How we read this: 3 replicated groups read from 9 sample titles; they account for 9 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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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.