GEO series

Genome-wide detection of DNA double-stranded breaks induced by engineered nucleases

GSE57283 Homo sapiens (human) Other 108 samples Submitted 2014/11/29 Platform GPL15520

At a glance

human · 108 samples

Organism: Homo sapiens (human)
Samples: 108 samples
Data you can get: A processed table (series matrix) and supplementary files from NCBI.

Summary (written by the submitters)

We describe a robust linear amplification-mediated high-throughput genome-wide translocation sequencing (HTGTS) method that identifies endogenous or ectopic "prey" DNA double-stranded breaks (DSBs) across the human genome based on their translocation to "bait" DSBs generated by engineered nucleases. HTGTS with different Cas9:gRNA or TALEN-nuclease on-target baits revealed off-target hotspots for given nucleases that ranged from few or none to dozens or more, and greatly extended known off-target numbers for certain previously characterized engineered nucleases by more than 10-fold.

Read the full summary ↓

Beyond various types of nuclease off-target collateral damage, we also identified collateral damage in the form of translocations between bona fide nuclease targets on homologous chromosomes. Based on frequent non-specific DSBs making any given human chromosome an HTGTS hotspot region for bait DSBs within it, we found that HTGTS also reveals wide-spread, low-level DSB-generating activities of engineered nucleases. Finally, HTGTS confirmed that the Cas9D10A paired nickase approach suppresses off-targets genome-wide and suggested other strategies to enhance desired nuclease activities.

This dataset

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Direct links to NCBI, 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.

All supplementary files ↗

3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE57283_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Whole study · RAW.tar ↓

Also filed as BioProject PRJNA246166 and SRA study SRP041662. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 25503383) ↗

Samples in this study

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