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Tracking-seq reveals the heterogeneity of off-target effects in CRISPR/Cas9-mediated genome editing

GSE236360 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 111 samples Submitted 2024/05/31 Platform GPL24676Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 111 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Homo sapiens (human)
Samples
111 samples: 97 distinct titles, 14 of them repeatedGroups 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
Tracking-seq reveals the heterogeneity of off-target effects in CRISPR-Cas9-mediated genome editingNature biotechnology · 2025
Summary (written by the submitters)
The continued development of novel genome editors calls for a universal method to analyze their off-target effects. Here we describe a versatile method, called Tracking-seq, for in situ identification of off-target effects that is broadly applicable to common genome-editing tools, including Cas9, base editors and prime editors.
Read the full summary ↓
Through tracking replication protein A (RPA)-bound single-stranded DNA followed by strand-specific library construction, Tracking-seq requires a low cell input and is suitable for in vitro, ex vivo and in vivo genome editing, providing a sensitive and practical genome-wide approach for off-target detection in various scenarios. We show, using the same guide RNA, that Tracking-seq detects heterogeneity in off-target effects between different editor modalities and between different cell types, underscoring the necessity of direct measurement in the original system.
Published in
Tracking-seq reveals the heterogeneity of off-target effects in CRISPR-Cas9-mediated genome editing
Zhu M, Xu R, Yuan J et al. · Nature biotechnology 2025 · PMID 38956324 · doi:10.1038/s41587-024-02307-y
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 GSE236360_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA990699 and SRA study SRP447116. Searching any of these in the dataset finder brings you back here.

Study design
97 distinct titles, 14 of them repeated
ABE VEGFA3 24h HEK293T 500k PEI ×2 CBE-dCas9 HEK4 24h HEK293T 500k PEI ×2 Cas9 HEK3 96h HEK293T 500k PEI ×2 Cas9 HEK4 96h HEK293T 500k PEI ×2 Cas9 HEK4 96h HEK293T 500k PEI batch2 ×2 Cas9 Pcsk9 48h Neuron 100k ×2 Cas9 VEGFA1 96h HEK293T 500k PEI ×2 Cas9 VEGFA3 96h HEK293T 500k PEI ×2 +6 more

How we read this: Read from 111 sample titles: 97 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

+ 71 more — browse all 111 samples with per-sample file links →

Datasets on a similar topic

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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.