← BioTransfer GEO Dataset Finder
GEO series

Taxonomy of introns, their evolution, and the role of minor introns in stress response

GSE216619 Danio rerio (zebrafish) RNA-seq (gene expression) 16 samples Submitted 2024/07/01 Platform GPL18413Platform GPL19057
At a glance

RNA-seq (gene expression) · zebrafish · 16 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
Danio rerio (zebrafish)
Samples
16 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.
Summary (written by the submitters)
Despite the high conservation of minor introns across eukaryotic supergroups, specific lineages have completely lost minor intron splicing, which has raised questions about their evolution and purpose. Addressing these questions requires identification of the introns that are affected by minor spliceosome inhibition. To this end, we applied principles of Linnaean taxonomy combined with position-weight matrices to produce five intron classes: minor, minor-like, hybrid, major-like and major.
Read the full summary ↓
We classified introns across the genomes of 263 species of six eukaryotic supergroups, which can be viewed at the Minor Intron Database (MIDB). Transcriptomic analysis revealed that ~40% of the minor introns are responsive to minor spliceosome inhibition, while an additional 5% of the minor-like and hybrid introns are also affected. We propose that minor-like introns represent an intermediate in the conversion of minor to major introns and uncover the importance of a guanine at the -1 position of the 5’ splice site in facilitating this shift in spliceosome dependence. Finally, we find that minor introns are aberrantly spliced in fish and plants upon cold stress, thereby providing a potential explanation for their high degree of conservation in these lineages.
This dataset
Open GSE216619 in finder → Find more 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 GSE216619_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 PRJNA894519. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
6 conditions, mostly in triplicate
ZMcal ×3 WTZMcal ×3 cal ×3 WTcal ×3 E14_wt ×2 E14_mutant ×2

Supports a case/control comparison: 2 samples read as cases, 6 as controls.

How we read this: 6 replicated groups read from 16 sample titles; they account for 16 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
Datasets on a similar topic

Search all RNA-seq datasets in GEO →

Share this dataset

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.