Systematic identification of genomic hotspots for high-yield protein production in CHO cells

The efficient and stable production of therapeutic proteins in Chinese hamster ovary (CHO) cells hinges on robust cell line development (CLD). Traditional methods relying on random transgene integration often result in clonal variability, requiring extensive and resource-intensive screening. To address this limitation, we established a systematic, multiomics-driven framework that integrates 202 RNA-sequencing datasets and whole-genome sequencing data to identify genomic "hotspot" loci for precise and high-yield transgene integration. From an initial pool of 20 candidate loci, 5 top-performing hotspots were validated using site-specific integration in CHO-DG44 cells via the CRISPR/Cas9 system with Recombinase-mediated cassette exchange (RMCE). These genomic hotspots achieved 2.2- to 15.0-fold higher relative specific productivity compared to previously known controls (Fer1L4 and Locus1 sites), across multiple therapeutic proteins, including a lysosomal storage disorder-related enzyme and an Immunoglobulin G (IgG)-related monoclonal antibody (mAb) expression. This study offers a transformative approach to CLD, achieving significant improvements in productivity, genomic stability, and efficiency, as well as paving the way for enhanced biopharmaceutical manufacturing.

Authors

Institutions

Publication Details

Journal
New Biotechnology
Published
2025-04-12
DOI
https://doi.org/10.1016/j.nbt.2025.04.006
Primary Topic
Viral Infectious Diseases and Gene Expression in Insects
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Systematic identification of genomic hotspots for high-yield protein production in CHO cells

Dong‐Yup Lee, Minji Kyeong, Seongtae Yun, Seo‐Young Park et al.
New Biotechnology
Viral Infectious Diseases and Gene Expression in Insects
article

Systematic identification of genomic hotspots for high-yield protein production in CHO cells

Dong‐Yup Lee, Minji Kyeong, Seongtae Yun, Seo‐Young Park, Dong‐Seok Kim, Sung-Hyuk Han, Jinho Yeom, Minouk Lee
article en

Abstract

The efficient and stable production of therapeutic proteins in Chinese hamster ovary (CHO) cells hinges on robust cell line development (CLD). Traditional methods relying on random transgene integration often result in clonal variability, requiring extensive and resource-intensive screening. To address this limitation, we established a systematic, multiomics-driven framework that integrates 202 RNA-sequencing datasets and whole-genome sequencing data to identify genomic "hotspot" loci for precise and high-yield transgene integration. From an initial pool of 20 candidate loci, 5 top-performing hotspots were validated using site-specific integration in CHO-DG44 cells via the CRISPR/Cas9 system with Recombinase-mediated cassette exchange (RMCE). These genomic hotspots achieved 2.2- to 15.0-fold higher relative specific productivity compared to previously known controls (Fer1L4 and Locus1 sites), across multiple therapeutic proteins, including a lysosomal storage disorder-related enzyme and an Immunoglobulin G (IgG)-related monoclonal antibody (mAb) expression. This study offers a transformative approach to CLD, achieving significant improvements in productivity, genomic stability, and efficiency, as well as paving the way for enhanced biopharmaceutical manufacturing.

New BiotechnologyVol. 88
Green Cross (United States) (US), Sungkyunkwan University (KR)
Zero hunger
Openalex Percentile: Top 93%
Viral Infectious Diseases and Gene Expression in Insects
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Systematic identification of genomic hotspots for high-yield protein production in CHO cells — Dong‐Yup Lee, Minji Kyeong, et al. · New Biotechnology (2025) | TGRS Research Map | TGRS