← BioTransfer GEO Dataset Finder
GEO series

Transposase-assisted in situ capture of recombination DSB hotspots (TAID-seq) [CUT&Tag]

GSE313963 Homo sapiens; Mus musculus Genome binding/occupancy profiling by high throughput sequencing 45 samples Submitted 2026/01/06 Platform GPL24676Platform GPL24247
Summary
Genome-wide profiling of the meiotic recombination initiation sites – DNA double-strand break (DSB) hotspots – is essential for understanding the evolution of species of variable origins in sexually reproducing organisms, and to provide the mechanistic insights into recombination, genetic engineering, and plant or animal breeding. While current high-throughput sequencing approaches are powerful tools for detecting DSB hotspots, revealing remarkable mechanisms underlying meiotic recombination, they are often time-consuming, labor-intensive, and, in some occasions, practically impossible owing to large sample inputs. Herein, we present Transposase-assisted in situ capture of recombination DSB hotspots (TAID-seq), an approach that leverages both RNA:DNA hybrids and D-loop intermediates at DSB sites. TAID-seq enables the rapid and efficient genome-wide capture of meiotic DSB hotspots. Compared with existing approaches, the TAID-seq workflow requires as few as 50,000 testicular cells, sequencing depths as low as 8 million (M) reads, and can be completed in under 1.5 days. We show that TAID-seq can recapitulate the global recombination DSB landscape in mice and humans. TAID-seq is compatible with archived frozen tissues, and revealed significant difference in the DSB hotspot patterning in human individuals. Further extended applications of TAID-seq strategy will likely unravel the genome-wide recombination DSB landscapes between sexes, populations, and in more rare species, while also illuminating rules and mechanisms underlying spatiotemporal regulation of recombination in health and disease.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE313963_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 45 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1387446 and SRA study SRP655662. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 45 more — browse all 45 samples with per-sample file links →

Similar datasets

Search all ChIP / ATAC / CUT&Tag 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.