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Yong-Bin Liu

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#gene editing Review Open access Sep 2026

Engineering Biology Beyond Single Genes: Advances and Challenges in Multiplex Genome Editing

Complex traits and disease phenotypes typically arise from the regulation of intricate genetic networks rather than single genes. Multiplex genome editing has therefore become central to trait engineering and therapeutic cell design. This review dissects the technological foundations and limiting factors of multiplex genome editing, focusing on guide RNA (gRNA) array engineering, delivery constraints, and scale‐dependent safety risks. We further examine the growing role of artificial intelligence (AI) in gRNA design and the engineering of clustered regularly interspaced short palindromic repeats (CRISPR)‐associated proteins (Cas proteins) and auxiliary editing modules. Despite rapid progress, delivery bottlenecks and nonlinear genomic and cellular risks remain the principal barriers to scalable and translational multiplex genome editing.

Lin-Li Wang, Yong-Bin Liu, Hong-Bing Han · 0 citations
Review Open access Aug 2026

From linear models to deep learning: statistical advances in genomic selection for animal breeding

A comprehensive overview of GS methodologies is provided, first covering the statistical foundations of linear mixed and Bayesian models, and then modern ML and DL approaches, to provide practical guidance for optimizing genomic evaluation strategies in the era of big data breeding.

Lifei Zhang, Mingzhu Zhang, Xinle Wang et al. · 0 citations

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