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Gene Therapy

Gene Therapy

Gene therapy is a technique where a gene is inserted into a person’s cells to prevent or treat a serious disease. The added gene may be a healthy version of the gene that is mutated in the patient, or it could be a different gene that inactivates or compensates for the patient’s disease-causing gene. For example, in patients with severe combined immunodeficiency (SCID) due to a mutation in the gene for the enzyme adenosine deaminase, a functioning version of the gene can be...

Cell Specific Gene Expression

Cell Specific Gene Expression

Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...

Cell Specific Gene Expression

Cell Specific Gene Expression

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Related Experiment Video

Updated: Dec 7, 2025

Author Spotlight: Advancements in CAR-T Cell Manufacturing and Gene Therapy Production

Author Spotlight: Advancements in CAR-T Cell Manufacturing and Gene Therapy Production

Published on: August 18, 2023

Multivariate data analysis in cell gene therapy manufacturing.

Joseph Emerson¹, Bo Kara², Jarka Glassey¹

¹School of Engineering, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK.

Biotechnology Advances

|September 27, 2020

Summary

This summary is machine-generated.

Cell gene therapy (CGT) manufacturing faces scale-up challenges. Multivariate data analysis (MVDA) offers a promising solution for optimizing viral vector and cell processing, improving product quality and consistency.

Keywords:

Cell gene therapy Machine learning Manufacturing challenges Multivariate data analysis Process development Process understanding Quality by design

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Area of Science:

Biotechnology
Process Engineering

Background:

Cell gene therapy (CGT) shows promise for treating severe diseases, with autologous viral vector-based treatments being highly successful.
Advancing CGT requires robust manufacturing processes, including viral vector production and ex vivo cell processing.
Current manufacturing faces challenges like limited scalability, process variability, and difficulty characterizing complex materials.

Purpose of the Study:

To review the manufacturing challenges in autologous viral vector-based CGT.
To explore the potential of Multivariate Data Analysis (MVDA) in addressing these challenges.
To assess the benefits, requirements, and prerequisites for implementing MVDA in CGT manufacturing.

Main Methods:

Review of existing literature on CGT manufacturing challenges.
Analysis of MVDA applications in chemical and biochemical industries.
Exploration of MVDA's applicability to CGT process development, scale-up, and technology transfer.

Main Results:

CGT manufacturing, particularly viral vector scale-up and ex vivo cell processing, presents significant hurdles.
MVDA has a proven track record in bioprocess monitoring, parameter identification, and variability assessment in other industries.
MVDA can potentially mitigate raw material variability, improve process understanding, and enhance product quality in CGT.

Conclusions:

MVDA is a suitable tool for overcoming key challenges in CGT manufacturing.
Implementing MVDA requires careful consideration of its benefits, prerequisites, and specific application needs.
Further exploration and adoption of MVDA can accelerate the development and commercialization of CGT products.