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Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans
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Ecotoxicogenomics: Microarray interlaboratory comparability.

Doris E Vidal-Dorsch1, Steven M Bay1, Shelly Moore1

  • 1Southern California Coastal Water Research Project, Costa Mesa, CA, USA.

Chemosphere
|September 13, 2015
PubMed
Summary
This summary is machine-generated.

Transcriptomic analysis using microarrays is repeatable for ecotoxicology. Consistent protocols and RNA quality are key for reliable gene expression data in environmental risk assessment.

Keywords:
AmphipodEcotoxicogenomicsGene expressionInter- and intra-laboratory reproducibilityIntercalibrationMicroarray

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Area of Science:

  • Environmental toxicology
  • Molecular biology
  • Ecotoxicogenomics

Background:

  • Transcriptomic analysis offers mechanistic insights into ecotoxicology.
  • Reproducibility is crucial for applying transcriptomics in risk assessment.
  • Identifying factors affecting gene expression data reliability is necessary.

Purpose of the Study:

  • To assess the reproducibility of transcriptomic analyses across multiple laboratories.
  • To identify key factors influencing the reliability of differentially expressed gene identification.
  • To evaluate the impact of RNA quality and sample type on transcriptomic data consistency.

Main Methods:

  • A custom 15K-probe microarray was employed for transcriptomic analysis.
  • Estuarine amphipods were exposed to cyfluthrin-spiked or control sediments for 10 days.
  • Two sample types (total RNA extracts and whole body) were analyzed across six laboratories.

Main Results:

  • Gene expression microarray results demonstrated good repeatability across laboratories.
  • Higher repeatability was observed with samples of consistent RNA quality (RNA extracts) compared to whole body samples.
  • A subset of genes were consistently identified as differentially expressed across all labs and sample types, despite variability.

Conclusions:

  • Transcriptomic data from microarray analysis is reproducible for ecotoxicological applications.
  • RNA quality and laboratory expertise significantly impact data consistency.
  • Standardized protocols and training can enhance the reliability of transcriptomic analyses in environmental monitoring.