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Updated: Jan 11, 2026

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
Published on: December 15, 2017
Engineering strategies for microbial synthesis, customized modification, and application of hemoglobin
Fan Liu1, Chunxiang Feng1, Zirui Yin1
1Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China; Science Center for Future Foods, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China; Jiangsu Province Engineering Research Center of Food Synthetic Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China; Engineering Research Center of Ministry of Education on Food Synthetic Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China.
Abstract:
Hemoglobin is a functional protein with heme as a cofactor, playing a crucial role in transporting oxygen and maintaining nitric oxide metabolic balance. Besides its physiological functions, hemoglobin has broad potential applications in medicine and biotechnology. However, the widespread use of hemoglobin is constrained by limited natural sources, challenges in heterologous synthesis, and functional restrictions that hinder efficient application. In this review, we discuss the key challenges and solutions associated with microbial synthesis of hemoglobin. We systematically elucidate the engineering strategies to improve the stability, autoxidation rate, heme-binding capacity, oxygen transport efficiency, and nitric oxide scavenging rate of hemoglobin, with particular emphasis on the use of artificial intelligence algorithms to customize the function modification of hemoglobin. Also, we provide a comprehensive overview of the various applications of hemoglobin, including artificial oxygen carriers, medical treatments requiring enhanced oxygen supply, synthesis of high-value products, biocatalysis, artificial foods, agriculture, functional substance testing, and bioactive peptide production, with a special focus on the potential of hemoglobin mutants and derivatives in expanding its use across various fields. Finally, we explore the prospects for accelerating the resolution of hemoglobin synthesis and overcoming the application challenges by integrating Pareto-optimal and iterative bioengineering frameworks, deep learning, synthetic biology, and other advanced technologies.
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