Establishment of Reverse Transcription Polymerase Chain Reaction Method for Quantification of Residual Host Cell RNA in Recombinant Plasmid Drugs

The presence of residual host cell RNA in recombinant plasmid drugs poses potential safety concerns and is subject to strict regulatory limits. Therefore, reliable quantification methods are essential for quality control. This study aims to establish and validate a reverse transcription-quantitative polymerase chain reaction (RT-qPCR) method for the quantitative detection of residual Escherichia coli host cell RNA in recombinant plasmid drugs. The DNA digestion system was optimized, and three RNA reference materials from different sources (kit-supplied RNA, commercial Thermo Fisher RNA, and self-extracted RNA) were compared. The results for 2-, 4-, and 8-fold diluted samples were comparable. The three reference materials showed comparable electrophoretic band patterns and amplification curves, and they also yielded comparable RNA quantification results for the same samples. After systematic methodological validation of the established RT-qPCR method, it was applied to seven batches of recombinant plasmid drug substances and three batches of in-process intermediates. Notably, residual host cell RNA levels in all tested batches were below 0.2 μg/mg DNA, complying with current national and regional regulatory requirements.

Authors

Institutions

Publication Details

Journal
Molecules
Published
2026-10-14
DOI
https://doi.org/10.3390/molecules31203670
Primary Topic
Molecular Biology Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Establishment of Reverse Transcription Polymerase Chain Reaction Method for Quantification of Residual Host Cell RNA in Recombinant Plasmid Drugs

Ying Guo, Dening Pei, 毕华, Xi Qin et al.
Molecules
Molecular Biology Techniques and Applications
article

Establishment of Reverse Transcription Polymerase Chain Reaction Method for Quantification of Residual Host Cell RNA in Recombinant Plasmid Drugs

Ying Guo, Dening Pei, 毕华, Xi Qin, Xinchang Shi, Chenggang Liang, Shanshan Ma, Huili Hou, Youxue Ding, Xiang Li, Bo Zhang
article en

Abstract

The presence of residual host cell RNA in recombinant plasmid drugs poses potential safety concerns and is subject to strict regulatory limits. Therefore, reliable quantification methods are essential for quality control. This study aims to establish and validate a reverse transcription-quantitative polymerase chain reaction (RT-qPCR) method for the quantitative detection of residual Escherichia coli host cell RNA in recombinant plasmid drugs. The DNA digestion system was optimized, and three RNA reference materials from different sources (kit-supplied RNA, commercial Thermo Fisher RNA, and self-extracted RNA) were compared. The results for 2-, 4-, and 8-fold diluted samples were comparable. The three reference materials showed comparable electrophoretic band patterns and amplification curves, and they also yielded comparable RNA quantification results for the same samples. After systematic methodological validation of the established RT-qPCR method, it was applied to seven batches of recombinant plasmid drug substances and three batches of in-process intermediates. Notably, residual host cell RNA levels in all tested batches were below 0.2 μg/mg DNA, complying with current national and regional regulatory requirements.

MoleculesVol. 31(20)
Beijing VDJBio (China) (CN), National Institutes for Food and Drug Control (CN)
National Science and Technology Major Project, Beijing Science and Technology Planning Project
Good health and well-being
Openalex Percentile: Top 24%
Molecular Biology Techniques and Applications
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.