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A trigger-inducible split-Csy4 architecture for programmable RNA modulation

GSE276412 Homo sapiens (human) RNA-seq (gene expression) 18 samples Submitted 2025/01/22 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 18 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
18 samples: 6 conditions, mostly in triplicateGroups 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
A trigger-inducible split-Csy4 architecture for programmable RNA modulationNucleic acids research · 2025
Summary (written by the submitters)
The CRISPR-derived endoribonuclease Csy4 is a popular tool for controlling transgene expression in various therapeutically relevant settings, but adverse effects potentially arising from non-specific RNA cleavage remains largely unexplored. Here, we report a split-Csy4 architecture that was carefully optimized for in vivo usage. First, we separated Csy4 into two independent protein moieties whose full catalytic activity can be restored via various constitutive or conditional protein dimerization systems.
Read the full summary ↓
Next, we show that introduction of split-Csy4 into human cells caused a substantially reduced extent in perturbation of the endogenous transcriptome when directly compared to full-length Csy4. Inspired by these results, we went on to use such split-Csy4 module to engineer inducible CRISPR- and translation-level gene switches regulated by the FDA-approved drug grazoprevir. This work provides valuable resource for Csy4-related biomedical research and discusses important issues for the development of clinically eligible regulation tools.
Published in
A trigger-inducible split-Csy4 architecture for programmable RNA modulation
Zhang L, Qiu X, Zhou Y et al. · Nucleic acids research 2025 · PMID 39817512 · doi:10.1093/nar/gkae1319
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 GSE276412_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 PRJNA1157319 and SRA study SRP530536. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in triplicate
DMSO ×3 Rapamycin ×3 Grazoprevir ×3 wtCsy4 ×3 SplitCsy4_DMSO ×3 SplitCsy4_Grazoprevir ×3

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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.