Human transcriptome array for high-throughput clinical studies.

Area of Science:

• Genomics
• Transcriptomics
• Molecular Biology

Background:

• High-throughput analysis of the human transcriptome is crucial for clinical studies.
• Existing methods like RNA-Seq can be costly and require deep sequencing for low-abundance transcripts.

Purpose of the Study:

• To develop and evaluate a novel oligonucleotide array (GG-H array) for comprehensive human transcriptome analysis.
• To compare the performance of the GG-H array with RNA-Seq for gene expression and alternative splicing detection.

Main Methods:

• Development of a 6.9 million-feature oligonucleotide array for the human transcriptome.
• Performance validation using liver and muscle samples compared against mRNA sequencing (RNA-Seq).
• Assessment of reproducibility, sensitivity, and detection of various RNA elements.

Main Results:

• The GG-H array demonstrated high reproducibility in estimating gene and exon abundance compared to RNA-Seq.
• The array showed greater sensitivity at the exon level than RNA-Seq.
• The GG-H array successfully generated high-quality, reproducible data in a multicenter clinical program.

Conclusions:

• The GG-H array is a cost-effective, high-throughput tool for clinical transcriptome analysis.
• It offers sensitive exon-level detection and is suitable for large-scale screening in clinical trials.
• A hybrid approach using RNA-Seq for discovery and arrays for screening is emerging for clinical genomics.