Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Quality prediction of cell substrate using gene expression profiling.

Jing Han1, Richard L Farnsworth, Jawahar L Tiwari

  • 1Laboratory of Molecular Tumor Biology, Division of Cellular and Gene Therapies, Center for Biologics Evaluation and Research, Food and Drug Administration, Building 29B, Room 2NN20, 29 Lincoln Drive, Bethesda, MD 20892, USA.

Genomics
|January 18, 2006
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Prepare now for a potential H5N1 pandemic.

Science (New York, N.Y.)·2025
Same author

H5 Influenza Vaccines-Moving Forward Against Pandemic Threats.

JAMA·2024
Same author

Correction: Review and analysis of the overlapping threats of carbapenem and polymyxin resistant E. Coli and Klebsiella in Africa.

Antimicrobial resistance and infection control·2024
Same author

Review and analysis of the overlapping threats of carbapenem and polymyxin resistant E. coli and Klebsiella in Africa.

Antimicrobial resistance and infection control·2023
Same author

Vaccine Preparedness for the Next Influenza Pandemic: A Regulatory Perspective.

Vaccines·2022
Same author

Binding of adenovirus species C hexon to prothrombin and the influence of hexon on vector properties in vitro and in vivo.

PLoS pathogens·2022
Same journal

Integrating transcriptomics and metabolomics reveals the molecular landscape of sperm maturation driven by regional differentiation in the epididymis of Guizhou-Guiqian semi-fine wool sheep.

Genomics·2026
Same journal

Impact of genotype on histopathology and clinical characters in a Chinese cohort with obstructive hypertrophic cardiomyopathy.

Genomics·2026
Same journal

A novel reusable transcriptome-wide association study workflow used to map key genes linked to important cattle traits.

Genomics·2026
Same journal

The large mitochondrial genome of Syndiclis anlungensis (Lauraceae): Genome structure, comparative analysis, and phylogenetic relationships with other Syndiclis species.

Genomics·2026
Same journal

DeepGEP: Deep learning for gene expression prediction from multi-omics in mammals.

Genomics·2026
Same journal

Molecular features of external Auditory Canal cholesteatoma by microbial metagenomic sequencing.

Genomics·2026
See all related articles

Gene expression profiling using microarrays can predict cell culture quality. This method identifies 37 genes as biomarkers to assess cell confluence and ensure product quality before large-scale biomanufacturing.

Area of Science:

  • Biotechnology
  • Molecular Biology
  • Cell Biology

Background:

  • Cell culture conditions critically impact the quality of biopharmaceutical products like viral vectors and vaccines.
  • Current methods lack effective techniques for monitoring overall cell quality in culture.

Purpose of the Study:

  • To develop a novel gene expression profiling method for predicting cell substrate quality.
  • To identify biomarkers indicative of cell confluence and quality in human embryonic kidney 293 cells.

Main Methods:

  • Utilized microarray gene expression profiling on 293 cells at varying confluence levels (40%, 90%, and over-confluent).
  • Employed phenotype scatter-plot and cluster analysis for class discovery.
  • Developed multivariate predictive models using identified gene expression patterns.

Related Experiment Videos

Main Results:

  • Identified a set of 37 genes significantly up-regulated or down-regulated in response to cell confluence.
  • Demonstrated lower adenoviral vector yields in over-confluent 293 cells.
  • Achieved high predictive accuracy for cell confluence and quality using the identified gene set, validated by qPCR.

Conclusions:

  • Gene expression profiling serves as a powerful tool to assess cell substrate quality.
  • This approach enables prediction of cell quality prior to the large-scale production of biological products.
  • The identified 37-gene signature can be used as a reliable biomarker for cell culture monitoring.