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Kava and DHM inhibit chronic hexavalent chromium exposure-induced cell malignant transformation through down-regulating RNA splicing factor SNRPA1 expression

GSE324163 Homo sapiens (human) Single-cell RNA-seq 12 samples Submitted 2026/05/11 Platform GPL21697Platform GPL34284
At a glance

Single-cell RNA-seq · human · 12 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Homo sapiens (human)
Topic
Lung cancerThis series is part of our curated briefing on it.
Samples
12 samples: 3 × BEAS-2B-Control-Cr(VI) vs 3 × BEAS-2B-Kava-Cr(VI) vs 3 × BEAS-2B-Control- Cr(VI)-Control siRNA vs 3 × BEAS-2B-Control-Cr(VI)-SNRPA1 siRNAGroups 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)
Hexavalent chromium [Cr(VI)] is a common occupational and environmental toxicant and an established carcinogen causing lung cancer in humans. The mechanism through which Cr(VI) exposure causes lung cancer remains to be clearly defined. No effective strategies are currently available to prevent lung cancer resulting from chronic Cr(VI) exposure.
Read the full summary ↓
Kava is traditionally consumed by south Pacific islanders to reduce anxiety. Epidemiology and experimental studies suggest that Kava has anticancer potential and may be used as a preventive agent to reduce the risk of various cancers including lung cancer. The purpose of this study is to determine the effect of Kava and its active component dihydromethysticin (DHM) on chronic Cr(VI) exposure-induced cell malignant transformation and the underlying mechanism. The study was performed by pre-treating immortalized but non-tumorigenic human bronchial epithelial cells (BEAS-2B) with Kava (25 µg/ml) or DHM (10 µM) followed by exposing cells to 0.25 µM of Cr(VI) (K2Cr2O7) for 20 weeks to determine the impact of Kava or DHM on chronic Cr(VI) exposure-induced cell transformation, cancer stem cell (CSC)-like property and tumorigenesis. The extent of cell transformation was evaluated by soft agar colony formation assay, Western blot analysis of cancer stemness marker expression levels and nude mouse xenograft tumorigenesis assay. It was found that Kava or DHM pre-treatment significantly reduces Cr(VI)-induced cell transformation, CSC-like property and tumorigenesis. Mechanistically, it was determined that Kava or DHM impairs Cr(VI)-induced cell transformation by down-regulating RNA splicing factor small nuclear ribonucleoprotein polypeptide A' (SNRPA1) expression to reduce the protooncogene, cancer stemness marker and driver c-MYC expression. It was further determined that DHM/SNRPA1 regulate c-MYC expression through affecting c-MYC protein stability. It was concluded that Kava or DHM inhibits Cr(VI)-induced cell transformation, CSC-like property and tumorigenesis by down-regulating RNA splicing factor SNRPA1 expression to increase the protooncogene c-MYC protein degradation.
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 GSE324163_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1433555 and SRA study SRP681845. Searching any of these in the dataset finder brings you back here.

Study design
3 × BEAS-2B-Control-Cr(VI) vs 3 × BEAS-2B-Kava-Cr(VI) vs 3 × BEAS-2B-Control- Cr(VI)-Control siRNA vs 3 × BEAS-2B-Control-Cr(VI)-SNRPA1 siRNA

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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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