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Sensitive dissection of a genomic regulatory landscape using bulk and targeted single-cell activation [ATAC-seq]

GSE274254 Homo sapiens Genome binding/occupancy profiling by high throughput sequencing 6 samples Submitted 2025/06/01 Platform GPL18573
Summary
Transcriptional enhancers are non-coding DNA elements that regulate gene transcription in a temporal and tissue-specific manner. Despite advances in computational and experimental methods, identifying enhancers and their target genes essential for specific biological processes remains challenging. Determining target genes for enhancers is also complex and often relies on indirect, low-resolution, and/or assumptive methodologies. To identify and functionally perturb enhancers at their endogenous sites without altering their sequence, we performed a pooled tiling CRISPR activation (CRISPRa) screen surrounding PHOX2B, a master regulator of neuronal cell fate and a key player in neuroblastoma development. This screen allowed the identification of CRISPRa- responsive elements (CaREs) that alter cellular growth within the 2 Mb genomic region. To determine CaRE target genes, we developed TESLA-seq (TargEted- SingLe- cell- Activation), which combines CRISPRa screening with targeted single-cell RNA-sequencing, and identified functional CaRE-target gene pairs. While most TESLA-revealed CaRE-gene relationships involved neuroblastoma-related regulatory elements already active in the system, we found many CaREs and target connections normally active only in other tissue types or with no previous evidence and induced out of context by CRISPRa. This highlights the power of TESLA-seq to reveal gene regulatory networks active outside of a given experimental system.
Published in
Sensitive dissection of a genomic regulatory landscape using bulk and targeted single-cell activation
Vučićević D, Hsu CW, Lopez Zepeda LS et al. · Cell genomics 2025 · PMID 40930101 · doi:10.1016/j.xgen.2025.100984
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Direct links to NCBI, no account and no request form: the whole study as GSE274254_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1145462 and SRA study SRP524797. Searching any of these in the dataset finder brings you back here.

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