CRISPR screen

This paper develops MONARCH gene circuits to optimize CRISPR-Cas13d for tunable RNA downregulation with minimal off-target effects in human and green monkey cells.

The paper uses CRISPR screens to identify transcription factors regulating Xist expression and their interactions with cis-regulatory elements during X-chromosome inactivation.

The paper introduces a photoswitch called DEL-VPR that enables strong, light-induced gene expression in mammalian cells, surpassing constitutive promoters and improving protein production.

The paper evaluates base editing efficiency for USH2A mutations using in vitro screening and a mouse model, showing high correction rates and comparing methods.

This study compares Cas9 and Prime Editing (PE) in human iPS cells, showing PE's superior precision and demonstrating how sorting by PE expression affects allelic editing outcomes.

The paper designs and characterizes diverse genomic parts for precise genome editing and molecular recording in mammalian cells.

The paper analyzes 3,313 genetically engineered mouse lines to identify gene essentiality as the main factor affecting Cas9-based genome editing success.

This study evaluates the efficiency and resistance allele formation of two CRISPR/Cas9-based gene drives in Aedes aegypti, finding one drive achieves super-Mendelian inheritance rates.

This paper engineers human-derived ARMMs for in vivo delivery of genome editing tools, showing efficient gene knockout and therapeutic potential in mouse models.

This study shows that CRISPRa systems can cause cytotoxicity, limiting their use in research and genetic screens.

This paper engineers modified p300 variants fused to dCas9 to reduce cytotoxicity and enhance enzymatic specificity in CRISPR-based epi-editing.

A CRISPR screen identifies HOXA9 as a driver of enzalutamide resistance in prostate cancer, with its inhibition showing synergy with enzalutamide.

This study shows that inhibiting DNA repair pathways with AZD7648 improves gene insertion efficiency in airway stem cells for CFTR correction, but may introduce toxicity.

This paper introduces mLumiOpto, a mitochondrial-targeted gene therapy that disrupts cancer cell mitochondria using light-activated proteins, showing efficacy in reducing tumor burden in mouse models.

This paper demonstrates the use of CRISPRi/a in zebrafish to modulate gene expression and study gene function in pigmentary and growth phenotypes.

This paper develops a prime editing-based method for pooled endogenous protein tagging and imaging, enabling scalable analysis of subcellular protein localization patterns.

This paper develops CRISPR-Lock, a CRISPR/dCas13 RNA blocker that disrupts miRNA-target interactions and rescues DM1 pathology by correcting splicing biomarkers and reducing nuclear foci.

The paper uses a PI-focused CRISPR screen to identify essential genes and regulators in PDAC and AML cells, revealing novel therapeutic targets and demonstrating the efficiency of focused libraries.

The paper systematically identifies post-transcriptional regulatory modules by integrating multimodal data on RBP interactions and functions.

The paper develops a method to prioritize enhancers linked to pancreas disease risk by integrating chromatin interactions, machine learning, and single-cell perturbation assays.

This study evaluates CRISPR-based gene integration in skeletal muscle using two high-expressing loci, demonstrating high-level therapeutic gene expression in mouse myoblasts.

The paper introduces crispat, a tool for guide assignment in single-cell CRISPR screens, showing differences in results across strategies.

This study identifies ABCA7-dependent neuropeptide Y signaling as a resilience mechanism critical for synaptic integrity and its disruption as a risk factor for Alzheimer's disease.

SpacerPlacer reconstructs ancestral CRISPR array evolution, revealing frequent spacer deletions and a decrease in deletion frequency towards both ends of arrays.

This paper develops PRECIS, a method combining prime editing and a synthetic intron reporter to efficiently generate SF3B1 mutant cell lines that recapitulate cancer-related splicing and CNV events.

This paper develops a Neighbor-Joining algorithm with theoretical guarantees for reconstructing phylogenies from CRISPR-Cas9 lineage tracing data, showing improved performance on simulated and real data.

This paper develops a compact type I-F2 CRISPR-Cas system for transcriptional activation and base editing in human cells, achieving a wide editing window and high efficiency.

This paper introduces crispAI, a neural network for predicting uncertainty in CRISPR off-target activity, and presents crispAI-aggregate for improved sgRNA prioritization.

The paper compares methods for identifying synthetic lethal interactions from CRISPR screens and finds ZdLFC provides more consistent results across cell lines.