CRISPR-CLEAR: Nucleotide-Resolution Mapping of Regulatory Elements via Allelic Readout of Tiled Base Editing
Becerra, B.; Wittibschlager, S.; Patel, Z. M.; Kutschat, A.; Delano, J.; Karjalainen, A.; Wu, T.; Starrs, M.; Jankowiak, M.; Bauer, D.; Seruggia, D.; Pinello, L.
Show abstract
CRISPR tiling screens have advanced the identification and characterization of regulatory sequences but are limited by low resolution arising from the indirect readout of editing via guide RNA sequencing. This study introduces CRISPR-CLEAR, an end-to-end experimental assay and computational pipeline, which leverages targeted sequencing of CRISPR-introduced alleles at the endogenous target locus following dense base-editing mutagenesis. This approach enables the dissection of regulatory elements at nucleotide resolution, facilitating a direct assessment of genotype-phenotype effects.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Human genetic diversity modifies therapeutic gene editing off-target potential 96%
- Linking candidate causal autoimmune variants to T cell networks using genetic and epigenetic screens in primary human T cells. 96%
- Systematic Epigenome Editing Captures the Context-dependent Instructive Function of Chromatin Modifications 96%
Similar papers in this journal
- Long-read sequencing of diagnosis and post-therapy medulloblastoma reveals complex rearrangement patterns and epigenetic signatures 95%
- Comprehensive single-cell genome analysis at nucleotide resolution using the PTA Analysis Toolbox 95%
- Characterization and bioinformatic filtering of ambient gRNAs in single-cell CRISPR screens using CLEANSER 95%
Similar papers in this journal
- Efficient combinatorial targeting of RNA transcripts in single cells with Cas13 RNA Perturb-seq 97%
- NEAT-seq: Simultaneous profiling of intra-nuclear proteins, chromatin accessibility, and gene expression in single cells 96%
- A benchmarked, high-efficiency prime editing platform for multiplexed dropout screening 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.