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Depletion of DIS3 from human cell lines

GSE188195 Homo sapiens (human) RNA-seq (gene expression) 36 samples Submitted 2026/06/02 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 36 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
36 samples: 8 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)
DIS3 is a 3’ to 5’ exoribonuclease responsible for degradation of multiple RNA targets. Most reports in human cells focus on its function in RNA surveillance in the nucleus. However, a small fraction of DIS3 can be also found in cytoplasm. Thus, the focus of this experiment was to identify the cytoplasmic targets of DIS3. Using rapid, auxin inducible, degradation of DIS3 protein and subcellular fractionation, we were able to identify RNA accumulated in cytoplasm of human cells upon DIS3 depletion.
Read the full summary ↓
The raw data and counts for annotated and non-annotated transcripts resulting from this experiment are provided.
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 GSE188195_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 PRJNA777897 and SRA study SRP344578. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly in triplicate
cyt_ctrl ×3 cyt_ctrl_A ×3 cyt_Dis3 ×3 cyt_Dis3_A ×3 chr_ctrl ×3 chr_ctrl_A ×3 chr_Dis3 ×3 chr_Dis3_A ×3 +12 more

Supports a between-group comparison across 24 samples.

How we read this: 8 replicated groups read from 36 sample titles; they account for 24 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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