Strategies for Optimizing the Yield and Function of Recombinant Collagen in Different Expression Systems: A Review

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Authors: Menglei Cheng, Lisheng Jiang, Zejia Zhang, Liuzhu Ji, Zhiqiang Xiong, Guangqiang Wang, Lianzhong Ai, X. H. Liu
Cited by: 4
References: 54

Abstract

Collagen is the most abundant structural and functional protein in humans and other vertebrates. It possesses remarkable biological functions and is widely used in food, cosmetics, and healthcare. Currently, mainstream animal-derived collagen materials carry risks such as viral transmission and allergic reactions. However, recombinant collagen, heterologously expressed using genetic recombination technology combined with high-density fermentation processes, offers greater biocompatibility, low immunogenicity, and consistent quality, offering promising development prospects. However, current research on recombinant collagen still faces challenges such as low yield and poor functionality. This article briefly describes the structure, types, and functions of collagen, discusses the advantages and limitations of different recombinant collagen expression systems, and highlights the strategies for improving the yield and optimizing the function of recombinant collagen, ranging from gene editing to fermentation optimization. In highlighting practical approaches to achieving high yield, we present a series of case examples to illustrate the successful application of these principles. This review aims to help researchers, engineers, and industry practitioners better understand research trends in the expression and production of recombinant collagen, and to promote its further development and commercialization across diverse application areas.

Fields of Study & Subjects

Collagen: Extraction and Characterization Probiotics and Fermented Foods Biopolymer Synthesis and Applications

Publication details

Journal / source
International Journal of Molecular Sciences
Publisher
MDPI AG
Volume
27
Issue
6
Pages
2563–2563
Publication date
11 March 2026
Language
EN