A New Human Transcriptome Array for Clinical Research
We have designed a comprehensive high-density oligonucleotide array of human transcriptome (GG-H1 array) for high-throughput, multiplexed, and cost effective analyses of patient samples for the biological basis of diseases. This array enables comprehensive examination of multiple mechanisms human cells use to regulate transcriptome in response to diseases including improved analysis of gene expression with completely updated gene annotations and carefully redesigned probes, genome-wide quantitation of gene isoforms and identification of alternative splicing, coding and UTR SNP detection and allele specific expression analysis, examination of non-coding transcription and antisense expression, and the analyses of small RNAs.
Impact/Significance
- Further developments of high density microarray and next-generation sequencing technologies will make increasing impact on medical research.
- This project will develop computational methods and proof-of-principle biomedical studies using the new 6.9 million feature human transcriptome array.
- The analysis results of proposed array studies and accompanied sequencing runs will also be the basis for further improving the design of the array. At a current cost of $400 per sample (including array and processing) and a throughput of hundreds samples per week in an average core, the array provides a high-throughput and cost effective method for clinical research.
Accomplishments
- Array design
- Sample processing protocols
- Array processing, analysis, and QC pipeline
- Testing experiments on mRNA and small RNA
- Array annotation database
- Software for gene and alternative splicing analysis (JETTA) and visualization
- Using exon and junction probes in alternative splicing and isoform analysis
- Study of unannotated transcribed units
Personnel
SGTC
Wenzhong Xiao
Weihong Xu
Junhee Seok
Michael Mindrinos
Erik Miller
Julie Wilhelmy
Ronald W. Davis
Dept. of Statistics, Stanford University
Yi Xing
Hui Jiang
Karen Kapur
Dave Hiller
Zhegqing Ouyang
Wing Wong
Depts. of Pathology & Genetics, Stanford University
Weng-Onn Lui
Andrew Z. Fire
Affymetrix
Anyhony Schweitzer
Tyson Clark
Malek Faham
John Blume