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Related Concept Videos

RNA-seq03:21

RNA-seq

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Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis
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RNA-Seq and expression microarray highlight different aspects of the fetal amniotic fluid transcriptome.

Lillian M Zwemer1, Lisa Hui, Heather C Wick

  • 1Mother Infant Research Institute, Tufts Medical Center, Boston, MA, USA.

Prenatal Diagnosis
|May 24, 2014
PubMed
Summary

Gene expression microarrays offer a broader view of fetal gene expression, while RNA sequencing (RNA-Seq) reveals alternative splicing. Both methods show correlated results despite technical challenges with cell-free fetal RNA.

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Cell-free fetal RNA in amniotic fluid is a valuable source for non-invasive prenatal testing.
  • Comparing transcriptomic analysis platforms is crucial for accurate fetal gene expression profiling.

Purpose of the Study:

  • To compare the complexity of the amniotic fluid supernatant cell-free fetal transcriptome using RNA sequencing (RNA-Seq) and gene expression microarrays.
  • To evaluate the strengths and limitations of each platform for fetal transcriptome analysis.

Main Methods:

  • Cell-free fetal RNA from amniotic fluid supernatant of five euploid mid-trimester samples was analyzed using both Affymetrix microarrays and Illumina HiSeq RNA-Seq.
  • Transcriptomes were compared based on gene signal presence, rank-order expression, and pathway enrichment analysis (Ingenuity Pathway Analysis).
  • RNA-Seq data were specifically examined for alternative splicing events.

Main Results:

  • Gene expression showed strong correlation (R=0.43-0.57) between platforms within individual samples.
  • Microarrays detected more expressed genes (8842) compared to RNA-Seq (4158).
  • RNA-Seq identified alternative splicing in genes like H19 and IGF2 and yielded more significant pathway enrichment p-values, despite challenges with degraded RNA.

Conclusions:

  • Gene expression microarrays provide a broader overview of fetal gene expression.
  • RNA-Seq excels at detecting alternative splicing and specific relevant pathways.
  • The degraded nature of cell-free fetal RNA poses technical challenges for RNA-Seq, impacting gene detection.