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Related Experiment Video

Updated: Mar 26, 2026

Gene Expression Profiling of Infecting Microbes Using a Digital Bar-coding Platform
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Gene Expression Profiling of Infecting Microbes Using a Digital Bar-coding Platform

Published on: January 13, 2016

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Novel Approaches for Fungal Transcriptomics from Host Samples.

Sara Amorim-Vaz1, Dominique Sanglard1

  • 1Institute of Microbiology, University Hospital Center, University of Lausanne Lausanne, Switzerland.

Frontiers in Microbiology
|February 3, 2016
PubMed
Summary

Understanding Candida albicans gene expression during infection is key for new antifungal therapies. This study explores advanced RNA analysis techniques for studying fungal adaptation in host environments.

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Area of Science:

  • Microbiology
  • Molecular Biology
  • Genomics

Background:

  • Candida albicans adaptation to host environments involves significant transcriptional changes compared to laboratory conditions.
  • Identifying fungal genes crucial for host adaptation is essential for developing novel antifungal therapies.
  • Analyzing the C. albicans transcriptome during infection is technically challenging due to low fungal RNA proportions in host tissues.

Purpose of the Study:

  • To detail and compare two emerging technologies for analyzing the C. albicans transcriptome in host-associated material.
  • To highlight the advantages and limitations of these advanced transcriptomic approaches.
  • To discuss future perspectives for microbial transcriptomics in host-related studies.

Main Methods:

  • Utilizing nanoString technology for the detection and quantification of low-abundance fungal RNA via fluorescent signals.
Keywords:
CandidaRNA-seqnanoStringtranscriptomics

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Related Experiment Videos

Last Updated: Mar 26, 2026

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  • Employing biotinylated oligonucleotide baits targeting the C. albicans ORFome for fungal RNA capture, purification, amplification, and subsequent RNA sequencing (RNA-seq).

    • Main Results:

    • Both nanoString and RNA-seq approaches offer viable methods to overcome the challenge of low fungal RNA abundance in host samples.
    • These techniques enable detailed analysis of the C. albicans transcriptome during infection, providing insights into host adaptation mechanisms.

    Conclusions:

    • Advanced transcriptomic techniques like nanoString and RNA-seq are crucial for studying microbial gene expression in complex host environments.
    • These methods facilitate the identification of potential therapeutic targets by revealing fungal genes vital for infection and adaptation.