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Decoding bioprocesses with transcriptomics: current status and future potential.

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|October 15, 2025
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Summary
This summary is machine-generated.

Transcriptomics, including RNA-sequencing (RNA-seq), is crucial for bioprocess engineering. This review details transcriptomic applications in cell characterization, media optimization, and process scale-up, highlighting future directions.

Keywords:
Bioprocess engineeringRNA-seqTranscriptomics

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Area of Science:

  • Molecular Biosciences
  • Bioprocess Engineering

Background:

  • Transcriptomic analyses have evolved significantly since the 1960s.
  • RNA-sequencing (RNA-seq) is a key technology in modern transcriptomics.
  • Transcriptomics is increasingly vital in bioprocess engineering for understanding cellular behavior.

Purpose of the Study:

  • To review the application of transcriptomic methodologies in bioprocess engineering.
  • To categorize the major scopes of transcriptomics studies in bioprocesses.
  • To provide a perspective on emerging transcriptomic technologies.

Main Methods:

  • Review of literature on transcriptomics in bioprocess engineering.
  • Categorization of transcriptomic applications including RT-qPCR, microarrays, and RNA-seq.
  • Discussion of single-cell RNA-seq (scRNA-seq) and Record-Seq.

Main Results:

  • Transcriptomics is applied in strain/cell line characterization.
  • Gene expression profiling aids in investigating culture/media conditions and process operations.
  • Transcriptomics facilitates scale-up/down studies in bioprocesses.

Conclusions:

  • Transcriptomics, particularly RNA-seq, is a powerful tool for bioprocess engineering.
  • Emerging technologies like scRNA-seq offer deeper insights into cellular populations.
  • Future transcriptomic approaches will enhance understanding of dynamic cellular processes.