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[Data-driven multi-omics analyses and modelling for bioprocesses].

Yan Zhu^1,2, Zhidan Zhang^1,2, Peibin Qin¹

¹Systems Biology Center, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin 300308, China.

Sheng Wu Gong Cheng Xue Bao = Chinese Journal of Biotechnology

|April 2, 2025

Summary

This summary is machine-generated.

This review highlights multi-omics data and computational modeling for bioprocess optimization. Integrating these approaches enhances control and efficiency in biomanufacturing, driving advancements in engineered cell and cell-free systems.

Keywords:

bioprocess data science digital cell model integrative analysis multi-omics

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Area of Science:

Biotechnology
Bioprocess Engineering
Systems Biology

Background:

Biomanufacturing relies on engineered cells or cell-free systems for efficient material conversion.
Complex bioprocesses exhibit spatiotemporal heterogeneity, posing challenges for understanding and optimization.

Purpose of the Study:

To review methodologies for multi-omics data acquisition and analysis in bioprocesses.
To outline computational modeling approaches integrating multi-omics data for bioprocesses.
To explore applications of multi-omics and modeling in precision biomanufacturing.

Main Methods:

Summarization of multi-omics data acquisition and analysis techniques.
Review of computational modeling strategies for bioprocesses.
Exploration of practical applications and case studies.

Main Results:

Multi-omics data provide comprehensive insights into bioprocess dynamics.
Computational modeling enables prediction and optimization of bioprocess parameters.
Integration of multi-omics and modeling facilitates fine-tuning of fermentation, nutrient supplementation, and stress response.

Conclusions:

Multi-omics integrated with computational modeling offer substantial potential for precision bioprocessing.
Addressing current challenges in bioprocess optimization requires advanced analytical and modeling tools.
Enhanced understanding and control of complex bioprocesses will accelerate biomanufacturing.