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Exploring synthetic lethality between the PP6 phosphatase and SETDB1

GSE216199 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2025/10/20 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 24 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
24 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)
Genome wide CRISPR/Cas9 screening identified SETDB1 and the HUSH complex as a synthetic lethal interactor of the PP6 phosphatase. Here, we sought to discover the molecular basis for this synthetic lethality. SETDB1 is a histone H3 lysine 9 methyltransferase, reported to be important in the establishment and maintenance of heterochromatin, and the silencing of repeats and incoming viral elements. We undertook RNA sequencing to explore differences in the transcriptome in HeLa and hTERT-RPE-1 cells devoid of PP6, SETDB1 or both proteins together.
This dataset
Open GSE216199 in finder → Find more human 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 GSE216199_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 PRJNA892551 and SRA study SRP403670. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
8 conditions, mostly in triplicate
HeLa, WT, ×3 HeLa, SETDB1KO, ×3 HeLa, SETDB1KO, siPPP6C, ×3 HeLa, PPP6CKO, ×3 RPE-1, siControl, ×3 RPE-1, siPPP6C, ×3 RPE-1, siSETDB1, ×3 RPE-1, siPPP6C, siSETDB1, ×3

Supports a between-group comparison across 24 samples.

How we read this: 8 replicated groups read from 24 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
Datasets on a similar topic

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