PubMed HealthSearch

PubMed · 39535722

SelectRepair Knockout: Efficient PTC-Free Gene Knockout Through Selectable Homology-Directed DNA Repair.

Abstract

Generating nonessential gene knockouts using CRISPR/Cas9 technology is becoming increasingly common in biological research. In a typical workflow, the Cas9 endonuclease is used to induce a DNA double-strand break that relies on nonhomologous end-joining (NHEJ) to introduce a premature termination codon (PTC) in the target gene. The goal is to isolate clones in which the gene produces PTC-containing mRNA transcripts that are degraded via nonsense-mediated mRNA decay (NMD) to cause loss of gene function. Unfortunately, this approach is laborious, and not all PTCs trigger NMD. More importantly, mounting evidence suggest that PTC mutations can also result in a transcriptional adaptation response that can mask the effects of a PTC-mediated gene knockout. In this chapter, we present a PTC-free gene knockout strategy that implements homology-directed DNA repair (HDR) with selectable markers to substantially reduce the complexity of the screening and validation of genome edits in cells containing more than one gene copy as in the case of the commonly used hypotriploid HEK293 cell line. We describe how to obtain a complete knockout of the Ligase IV protein (LIG4) and provide considerations for the application of this SelectRepair Knockout method to other genes.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Michael A Cortázar, Sujatha Jagannathan. 2025. SelectRepair Knockout: Efficient PTC-Free Gene Knockout Through Selectable Homology-Directed DNA Repair.. https://doi.org/10.1007/978-1-0716-4176-7_23

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans