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Related Experiment Video

Updated: Nov 13, 2025

Preparation of Multifunctional Silk-Based Microcapsules Loaded with DNA Plasmids Encoding RNA Aptamers and Riboswitches
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Omics-Driven Biotechnology for Industrial Applications.

Bashar Amer1,2, Edward E K Baidoo1,2,3

  • 1Lawrence Berkeley National Laboratory, Joint BioEnergy Institute, Emeryville, CA, United States.

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|March 12, 2021
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Summary
This summary is machine-generated.

Omics technologies are crucial for advancing biomanufacturing and metabolic engineering. This review covers omics advancements, their applications in biofuels, food, and agriculture, and their impact on COVID-19 research.

Keywords:
biotechnologygenomicsmetabolic engineeringmetabolomicsmulti-omicsproteomicssystems biologytranscriptomics

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Area of Science:

  • Biotechnology and Biomanufacturing
  • Systems Biology
  • Metabolic Engineering

Background:

  • Biomanufacturing utilizes biological systems for commercial bioproducts across various industries.
  • Synthetic biology and metabolic engineering depend on "omics"-driven systems biology for understanding metabolic networks.

Purpose of the Study:

  • Review recent advances in "omics" technologies.
  • Compare the advantages and disadvantages of different "omics" approaches.
  • Discuss requirements for multi-omics experiments.

Main Methods:

  • Literature review of "omics" technologies.
  • Analysis of "omics" applications in metabolic engineering and bioproduct development.
  • Examination of "omics" impact on agriculture, food biotechnology, and COVID-19 research.

Main Results:

  • "Omics" technologies are essential for characterizing metabolic networks and advancing industrial biomanufacturing platforms.
  • Significant influence of "omics" on biofuel and bioproduct production via metabolic engineering.
  • "Omics" applications extend to agricultural, food, and medical research, including COVID-19.

Conclusions:

  • "Omics" technologies are pivotal for innovation in biomanufacturing, metabolic engineering, and diverse biotechnological applications.
  • Multi-omics approaches are necessary for comprehensive understanding and robust platform development.
  • "Omics" continue to drive progress across scientific and industrial sectors, from energy to health.