Oct 2026· Frontiers in Bioengineering and Biotechnology· Vol 14· 0 citations· 27 references
TL;DR
It is demonstrated that genome editing workflows can shape cellular phenotypes independently of intended genetic modifications, highlighting the need to consider engineering strategy as a critical design parameter when targeting non-essential genes.
Abstract
CRISPR/Cas9-based multi-gene knockout strategies are widely applied to engineer Chinese hamster ovary (CHO) cells, yet the impact of editing workflow on cellular outcomes remains poorly understood. Here, we systematically compare sequential and multiplex genome editing approaches to generate CHO cell lines lacking nine polysorbate (PS)-degrading hydrolases. Both strategies achieved comparable functional outcomes, markedly improving PS stability. However, they produced distinct phenotypic and transcriptomic trajectories. Sequential editing led to progressive declines in growth and viability, increased cell size and DNA content, and extensive transcriptomic remodeling. In contrast, multiplex editing resulted in milder phenotypic alterations and a substantially smaller transcriptional footprint, albeit with increased clone-to-clone heterogeneity. Transcriptome analyses revealed limited overlap between final states, indicating workflow-specific adaptation despite the same intended knockout set. Importantly, transcriptional changes were primarily associated with clonal selection and iterative manipulation rather than reflecting a shared response to the targeted knockouts themselves. These findings demonstrate that genome editing workflows can shape cellular phenotypes independently of intended genetic modifications. For cell line development, multiplex editing offers a strategy to reduce development time and limit undesirable drift when targeting non-essential genes, highlighting the need to consider engineering strategy as a critical design parameter.
This review synthesizes the methodological evolution of CRISPR screening, emphasizing advances in perturbation strategies, delivery systems, and multimodal readouts to demonstrate refined gene network annotations.
An ECCITE-seq framework is described 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 and allows for the assessment of the regulatory impact of candidate genes implicat...
Jing-Long Zhang, K. Brennand, Bin Zhang et al.· Methods in molecular biology· 0 citations
Summary Type I-E CRISPR-Cas3 represents a genome-editing technology in which large deletions averaging several kilobases are introduced in target regions. However, its genome-editing efficiency varies considerably across targets and cell types, making it difficult to achieve consistent results. Here, we investigated th...
Kouya Mikamo, K. Yoshimi, Naoko Abe et al.· iScience· 0 citations
This review highlights large serine recombinases (LSRs) as highly efficient, single-enzyme alternatives for unidirectional, site-specific integration of large payloads with deterministic junctions, and surveys targeted genomic integration strategies and detail best practices for implementing recombinase-based landing p...
A. Martella, Kenneth A. Matreyek, D. Fisher· Nucleic Acids Research· 0 citations
Transcriptomic adaptation plays a central role in the phenotypic plasticity of Chinese hamster ovary (CHO) cells. While various gene expression studies have provided insights into condition-specific responses, a comprehensive, systems-level understanding of how CHO cell transcriptomes dynamically adapt across diverse e...
Markus Riedl, Nicolas Marx, Nicole Borth· New Biotechnology· 0 citations
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