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Small molecule-based regulation of gene expression in human astrocytes switching on and off the G-quadruplex control systems

GSE279752 Homo sapiens (human) RNA-seq (gene expression) 15 samples Submitted 2025/01/29 Platform GPL15520
At a glance

RNA-seq (gene expression) · human · 15 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
15 samples: 15 samples, each with a distinct title — no replicated groupsGroups 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
Small molecule-based regulation of gene expression in human astrocytes switching on and off the G-quadruplex control systemsThe Journal of biological chemistry · 2025
Summary (written by the submitters)
A great deal of attention is being paid to strategies seeking to uncover the biology of the four-stranded nucleic acid structure G-quadruplex (G4) via their stabilization in cells with G4-specific ligands. The conventional definition of chemical biology implies that a complete assessment of G4 biology can only be achieved by implementing a complementary approach involving destabilization of cellular G4s by ad hoc molecular effectors.
Read the full summary ↓
We report here on an unprecedented comparison of the cellular consequences of G4 chemical stabilization by pyridostatin (PDS) and destabilization by phenylpyrrolocytosine (PhpC) at both transcriptome- and proteome-wide scales in patient-derived primary human astrocytes. Our results show that the stabilization of G4s by PDS triggers the dysregulation of many cellular circuitries, the most drastic effects originating in downregulation of 354 transcripts and 158 proteins primarily involved in RNA transactions. In contrast, destabilization of G4s by PhpC modulates the G4 landscapes in a far more focused manner with upregulation of 295 proteins, mostly involved in RNA transactions as well, thus mirroring the effects of PDS. Our study is the first of its kind to report the extent of G4-associated cellular circuitries in human cells by systematically pitting the effect of G4 stabilization against destabilization in a direct and unbiased manner.
Published in
Small molecule-based regulation of gene expression in human astrocytes switching on and off the G-quadruplex control systems
M J VK, Mitteaux J, Wang Z et al. · The Journal of biological chemistry 2025 · PMID 39615684 · doi:10.1016/j.jbc.2024.108040
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 GSE279752_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 PRJNA1174205 and SRA study SRP539218. Searching any of these in the dataset finder brings you back here.

Study design
15 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 15 sample titles: 15 distinct titles with little repetition. 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.