Unknown

Dataset Information

0

Human transcriptome array for high-throughput clinical studies.


ABSTRACT: A 6.9 million-feature oligonucleotide array of the human transcriptome [Glue Grant human transcriptome (GG-H array)] has been developed for high-throughput and cost-effective analyses in clinical studies. This array allows comprehensive examination of gene expression and genome-wide identification of alternative splicing as well as detection of coding SNPs and noncoding transcripts. The performance of the array was examined and compared with mRNA sequencing (RNA-Seq) results over multiple independent replicates of liver and muscle samples. Compared with RNA-Seq of 46 million uniquely mappable reads per replicate, the GG-H array is highly reproducible in estimating gene and exon abundance. Although both platforms detect similar expression changes at the gene level, the GG-H array is more sensitive at the exon level. Deeper sequencing is required to adequately cover low-abundance transcripts. The array has been implemented in a multicenter clinical program and has generated high-quality, reproducible data. Considering the clinical trial requirements of cost, sample availability, and throughput, the GG-H array has a wide range of applications. An emerging approach for large-scale clinical genomic studies is to first use RNA-Seq to the sufficient depth for the discovery of transcriptome elements relevant to the disease process followed by high-throughput and reliable screening of these elements on thousands of patient samples using custom-designed arrays.

SUBMITTER: Xu W 

PROVIDER: S-EPMC3048146 | biostudies-literature | 2011 Mar

REPOSITORIES: biostudies-literature

altmetric image

Publications


A 6.9 million-feature oligonucleotide array of the human transcriptome [Glue Grant human transcriptome (GG-H array)] has been developed for high-throughput and cost-effective analyses in clinical studies. This array allows comprehensive examination of gene expression and genome-wide identification of alternative splicing as well as detection of coding SNPs and noncoding transcripts. The performance of the array was examined and compared with mRNA sequencing (RNA-Seq) results over multiple indepe  ...[more]

Similar Datasets

2011-01-27 | GSE26072 | GEO
2011-01-27 | GSE26118 | GEO
2011-01-27 | E-GEOD-26072 | biostudies-arrayexpress
2011-01-27 | GSE26109 | GEO
2011-01-27 | E-GEOD-26109 | biostudies-arrayexpress
| S-EPMC2672536 | biostudies-literature
2019-12-25 | GSE142582 | GEO
| PRJNA597533 | ENA
| S-EPMC7103764 | biostudies-literature
| S-EPMC3237422 | biostudies-literature