A human transcriptome array for high-throughput clinical studies (with a comparison to RNA-seq technology) [RNA-Seq]
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ABSTRACT: A new high-density oligonucleotide array of the 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 non-coding transcripts. The GG-H array was validated using samples from multiple independent preparations of human liver and muscle, and compared with results obtained from mRNA sequencing analysis. The GG-H array is highly reproducible in estimating gene and exon abundance, and is sensitive in detecting expression changes and alternative splicing. This array has been implemented in a multi-center clinical program and has generated high quality, reproducible data. When current cost, as well as sample and time requirements for sequencing are considered in the context of a required throughput of hundreds of samples per week for a clinical trial, the array provides a high-throughput and cost effective platform for clinical genomic studies.
Project description:A new high-density oligonucleotide array of the 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 non-coding transcripts. The GG-H array was validated using samples from multiple independent preparations of human liver and muscle, and compared with results obtained from mRNA sequencing analysis. The GG-H array is highly reproducible in estimating gene and exon abundance, and is sensitive in detecting expression changes and alternative splicing. This array has been implemented in a multi-center clinical program and has generated high quality, reproducible data. When current cost, as well as sample and time requirements for sequencing are considered in the context of a required throughput of hundreds of samples per week for a clinical trial, the array provides a high-throughput and cost effective platform for clinical genomic studies. Examination exon/gene expression of liver and muscle in quadraplicates using both the array technology and RNA-Seq
Project description:A new high-density oligonucleotide array of the 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 non-coding transcripts. The GG-H array was validated using samples from multiple independent preparations of human liver and muscle, and compared with results obtained from mRNA sequencing analysis. The GG-H array is highly reproducible in estimating gene and exon abundance, and is sensitive in detecting expression changes and alternative splicing. This array has been implemented in a multi-center clinical program and has generated high quality, reproducible data. When current cost, as well as sample and time requirements for sequencing are considered in the context of a required throughput of hundreds of samples per week for a clinical trial, the array provides a high-throughput and cost effective platform for clinical genomic studies. Examination exon/gene expression of liver and muscle in quadraplicate using both the array technology and RNA-Seq
Project description:A new high-density oligonucleotide array of the 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 non-coding transcripts. The GG-H array was validated using samples from multiple independent preparations of human liver and muscle, and compared with results obtained from mRNA sequencing analysis. The GG-H array is highly reproducible in estimating gene and exon abundance, and is sensitive in detecting expression changes and alternative splicing. This array has been implemented in a multi-center clinical program and has generated high quality, reproducible data. When current cost, as well as sample and time requirements for sequencing are considered in the context of a required throughput of hundreds of samples per week for a clinical trial, the array provides a high-throughput and cost effective platform for clinical genomic studies.
2011-01-27 | GSE26072 | GEO
Project description:Evaluation of a high-throughput, cost-effective Illumina library preparation kit
Project description:To assess the requirement of Nova2 for alternative processing of RNA in mouse brain. Protein-RNA interactions play critical roles in all aspects of gene expression. Here we develop a genome-wide means of mapping protein-RNA binding sites in vivo, by high throughput sequencing of RNA isolated by crosslinking immunoprecipitation (HITS-CLIP). HITS-CLIP analysis of the neuron-specific splicing factor Nova2 revealed extremely reproducible RNA binding maps in multiple mouse brains. These maps provide genome-wide in vivo biochemical footprints confirming the previous prediction that the position of Nova binding determines the outcome of alternative splicing; moreover, they are sufficiently powerful to predict Nova action de novo. HITS-CLIP revealed a large number of Nova-RNA interactions in 3â UTRs, leading to the discovery that Nova regulates alternative polyadenylation in the brain. HITS-CLIP, therefore, provides a robust, unbiased means to identify functional protein-RNA interactions in vivo. Keywords: Comparative analysis Refer to individual Series. This SuperSeries is composed of the following subset Series: GSE17374: Wild type vs. Nova2 KO mouse: Exon array data GSE17376: Wild type vs. Nova2 KO mouse: Exon junction array data
Project description:We present TORNADO-seq —a high-throughput, a high-content drug discovery platform that for the first time uses next-generation sequencing (NGS) based, targeted RNA-seq in organoids monitoring the expression of 206 genes for the evaluation of complex mixtures of cellular phenotypes. TORNADO-seq is a fast, highly-reproducible, time- and cost-effective (5$ per sample including sequencing cost) method that we used to find drugs that enrich for differentiated cell phenotypes in intestinal organoids. These drugs are highly efficacious against cancer compared to wild type organoids and may therefore become promising candidates in CRC treatment. Further, TORNADO-seq facilitated in-depth insight on the mode of action of these drugs.
Project description:Background Next Generation Sequencing technologies have facilitated differential gene expression analysis through RNA-seq and Tag-seq methods. RNA-seq has biases associated with transcript lengths, lacks uniform coverage of regions in mRNA and requires 10–20 times more reads than a typical Tag-seq. Most existing Tag-seq methods either have biases or not high throughput due to use of restriction enzymes or enzymatic manipulation of 5’ ends of mRNA or use of RNA ligations. Results We have developed EXpression Profiling through Randomly Sheared cDNA tag Sequencing (EXPRSS) that employs acoustic waves to randomly shear cDNA and generate sequence tags at a relatively defined position (~150-200 bp) from the 3′ end of each mRNA. Implementation of the method was verified through comparative analysis of expression data generated from EXPRSS, NlaIII-DGE and Affymetrix microarray and through qPCR quantification of selected genes. EXPRSS is a strand specific and restriction enzyme independent tag sequencing method that does not require cDNA length-based data transformations. EXPRSS is highly reproducible, is high-throughput and it also reveals alternative polyadenylation and polyadenylated antisense transcripts. It is cost-effective using barcoded multiplexing, avoids the biases of existing SAGE and derivative methods and can reveal polyadenylation position from paired-end sequencing. Conclusions EXPRSS Tag-seq provides sensitive and reliable gene expression data and enables high-throughput expression profiling with relatively simple downstream analysis. Five weeks old Arabidopsis (Col-0) leaf discs treated with water or flg22 for 60min; mRNA profiles were generated by deep sequencing on Illumina GAIIx using EXPRSS and NlaIII-DGE protocols, in quadruplicate.
Project description:Background Next Generation Sequencing technologies have facilitated differential gene expression analysis through RNA-seq and Tag-seq methods. RNA-seq has biases associated with transcript lengths, lacks uniform coverage of regions in mRNA and requires 10–20 times more reads than a typical Tag-seq. Most existing Tag-seq methods either have biases or not high throughput due to use of restriction enzymes or enzymatic manipulation of 5’ ends of mRNA or use of RNA ligations. Results We have developed EXpression Profiling through Randomly Sheared cDNA tag Sequencing (EXPRSS) that employs acoustic waves to randomly shear cDNA and generate sequence tags at a relatively defined position (~150-200 bp) from the 3? end of each mRNA. Implementation of the method was verified through comparative analysis of expression data generated from EXPRSS, NlaIII-DGE and Affymetrix microarray and through qPCR quantification of selected genes. EXPRSS is a strand specific and restriction enzyme independent tag sequencing method that does not require cDNA length-based data transformations. EXPRSS is highly reproducible, is high-throughput and it also reveals alternative polyadenylation and polyadenylated antisense transcripts. It is cost-effective using barcoded multiplexing, avoids the biases of existing SAGE and derivative methods and can reveal polyadenylation position from paired-end sequencing. Conclusions EXPRSS Tag-seq provides sensitive and reliable gene expression data and enables high-throughput expression profiling with relatively simple downstream analysis. Five weeks old Arabidopsis (Col-0, ein2-5, jar1-1 and npr1-1) leaf discs treated with water or flg22 and a time course of samples were collected; mRNA profiles were generated by deep sequencing on Illumina GAIIx using EXPRSS protocols.
Project description:Array-based comparative genomic hybridisation is a high-resolution method for measuring chromosomal copy number changes. Here we present a validated protocol using in-house spotted oligonucleotide libraries for array CGH. This oligo array CGH platform yields reproducible results and is capable of detecting single copy gains, multi-copy amplifications as well as homozygous and heterozygous deletions as small as 100 kb with high resolution. A human oligonucleotide library was printed on amine binding slides. Arrays were hybridised using a hybstation and analysed using BleuFuse feature extraction software, with over 95% of spots passing quality control. The protocol allows as little as 300 ng of input DNA without the need for amplification or target reduction and a 90% reduction of Cot1-DNA without compromising quality. High quality results have also been obtained with DNA from archival tissue. Finally, in addition to human oligo arrays, we have applied the protocol successfully to mouse oligo arrays. We believe that this oligo-based platform using “off-the-shelf” oligo-libraries provides an easy accessible alternative to BAC arrays for CGH, which is cost-effective, available at high resolution and easily implemented for any sequenced organism without compromising the quality of the results. Keywords: comparative genomic hybridization, oligonucleotide,
Project description:Feature reduction of microarray data from mycobacteria treated with a variety of various clinical and investigational drugs We are using feature reduction to demonstrate that subsets of biomarker genes representative of the whole genome are sufficient for MOA classification and deconvolution in a medium-throughput microfluidic format ultimately leading to a cost effective and rapid tool for routine antibacterial drug-discovery programs.