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Related Concept Videos

Coordination of Gene Expression Processes in Bacteria01:29

Coordination of Gene Expression Processes in Bacteria

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The DNA replication, transcription, and translation processes are intricately coupled in bacteria, allowing efficient gene expression and rapid protein synthesis. While this physical and functional coordination is advantageous, it introduces challenges that bacteria overcome through specific regulatory mechanisms.Coupling of Replication, Transcription, and TranslationThe coupling of replication, transcription, and translation is a hallmark of bacterial gene expression. As the replisome unwinds...
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Gene Expression Profiling of Infecting Microbes Using a Digital Bar-coding Platform
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Using genome-wide expression compendia to study microorganisms.

Alexandra J Lee1, Taylor Reiter2, Georgia Doing3

  • 1Genomics and Computational Biology Graduate Program, University of Pennsylvania, Philadelphia, PA, USA.

Computational and Structural Biotechnology Journal
|August 26, 2022
PubMed
Summary
This summary is machine-generated.

Gene expression compendia integrate diverse experiments to reveal microbial transcriptional patterns. Analyzing these collections offers systems-level insights into how gene expression influences phenotypes under varied conditions.

Keywords:
CompendiaMachine learningMicrobiologyTranscriptomics

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Area of Science:

  • Microbiology
  • Genomics
  • Systems Biology

Background:

  • Gene expression compendia aggregate data from various experiments for diverse aims.
  • Heterogeneous experimental conditions and genetic backgrounds offer opportunities for systems-level understanding of transcriptional responses.
  • Microbial transcriptional responses are complex, integrating signals and showing plasticity across strains, influenced by nutrients and microbial presence.

Purpose of the Study:

  • To review the construction and analysis of gene expression compendia for microbial systems.
  • To highlight the utility of compendia for understanding transcriptional plasticity and phenotype influences.

Main Methods:

  • Compiling heterogeneous gene expression datasets from multiple experiments.
  • Analyzing transcriptional data to identify patterns and responses.
  • Leveraging advances in high-throughput measurement technology for compendium construction.

Main Results:

  • Gene expression compendia facilitate a systems-level understanding of transcriptional responses.
  • Varied experimental designs are crucial for studying microbial plasticity.
  • High-throughput technologies enable the creation of extensive microbial compendia.

Conclusions:

  • Gene expression compendia are powerful tools for microbial research.
  • Analysis of compendia reveals insights into transcriptional regulation and phenotypic outcomes.
  • Future work can further leverage compendia for deeper biological understanding.