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EXPRSS: an Illumina based high-throughput expression-profiling method to reveal transcriptional dynamics - III

ABSTRACT: 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.

ORGANISM(S): Arabidopsis thaliana

PROVIDER: GSE52596 | GEO | 2014/06/20

SECONDARY ACCESSION(S): PRJNA229430

REPOSITORIES: GEO

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EXPRSS: an Illumina based high-throughput expression-profiling method to reveal transcriptional dynamics - II

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.

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EXPRSS: an Illumina based high-throughput expression-profiling method to reveal transcriptional dynamics - I

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EXPRSS: an Illumina based high-throughput expression-profiling method to reveal transcriptional dynamics - I

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EXPRSS: an Illumina based high-throughput expression-profiling method to reveal transcriptional dynamics - II

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.

2014-06-20 | E-GEOD-51720 | biostudies-arrayexpress

EXPRSS: an Illumina based high-throughput expression-profiling method to reveal transcriptional dynamics - III

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 10M-bM-^@M-^S20 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 5M-bM-^@M-^Y 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 3M-bM-^@M-2 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. Four-week-old Arabidopsis (No-0 and slh1) plants were grown at 28M-BM-0C and transferred to a 21M-BM-0C growth chamber. Time course samples were collected after the temperature shift; mRNA profiles were generated by deep sequencing on Illumina MiSeq using EXPRSS protocol.

2014-06-20 | E-GEOD-52596 | biostudies-arrayexpress

PAT-seq - a high-throughput polyadenylation assay for the Illumina platform

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Analysis and design of RNA sequencing experiments for identifying mRNA isoform regulation

Project description:Through alternative splicing, most human genes express multiple isoforms that may have distinct or even antagonistic functions. To infer isoform regulation based on data from high-throughput sequencing of cDNA fragments (RNA-Seq), we have developed MISO, a computational model that estimates the expression level of alternatively spliced exons and mRNA isoforms and provides intuitive measures of conﬁdence in these estimates. Incorporation of the length distribution of inserted cDNA fragments in paired-end RNA-Seq analysis in MISO enables dramatic improvements in estimation of alternative splicing levels relative to previous methods. We show that one lane of paired-end RNA-Seq data can provide far more information about splicing than two lanes of single-end data, depending critically on properties of the distribution of cDNA fragment lengths in the sequenced library. MISO also leads to an intuitive method to detect diﬀerentially regulated exons or isoforms. Application of this method implicates the RNA splicing factor hnRNP H in regulation of alternative cleavage and polyadenylation, a role that is supported by UV crosslinking/immunoprecipitation/high-throughput sequencing (CLIP-Seq) analysis. Together, our results provide a probabilistic framework for RNA-Seq analysis, derive functional insights into pre-mRNA processing, and yield guidelines for the optimal design of RNA-Seq experiments for studies of gene and isoform expression.

2010-11-07 | GSE23694 | GEO

Analysis and design of RNA sequencing experiments for identifying mRNA isoform regulation

Project description:Through alternative splicing, most human genes express multiple isoforms that may have distinct or even antagonistic functions. To infer isoform regulation based on data from high-throughput sequencing of cDNA fragments (RNA-Seq), we have developed MISO, a computational model that estimates the expression level of alternatively spliced exons and mRNA isoforms and provides intuitive measures of con?dence in these estimates. Incorporation of the length distribution of inserted cDNA fragments in paired-end RNA-Seq analysis in MISO enables dramatic improvements in estimation of alternative splicing levels relative to previous methods. We show that one lane of paired-end RNA-Seq data can provide far more information about splicing than two lanes of single-end data, depending critically on properties of the distribution of cDNA fragment lengths in the sequenced library. MISO also leads to an intuitive method to detect di?erentially regulated exons or isoforms. Application of this method implicates the RNA splicing factor hnRNP H in regulation of alternative cleavage and polyadenylation, a role that is supported by UV crosslinking/immunoprecipitation/high-throughput sequencing (CLIP-Seq) analysis. Together, our results provide a probabilistic framework for RNA-Seq analysis, derive functional insights into pre-mRNA processing, and yield guidelines for the optimal design of RNA-Seq experiments for studies of gene and isoform expression. CLIPseq of hnRNP H in HEK 293T cells. RNAseq of polyA+ RNA from C2C12 mouse myoblasts stably expressing an empty vector or a vector containing an shRNA against CUGBP1. Libraries of two different insert lengths were created and examined.

2010-11-07 | E-GEOD-23694 | biostudies-arrayexpress

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Project description:Purpose: To determine genes that undergo alternative polyadenylation in proliferating versus quiescent fibroblasts. Methods: Three different biological replicates (fibroblast strains, 10-1, 12-1, and 12-2) were used for generating proliferating and quiescent (7-day contact inhibited and 7-day serum-starved) cells. RNA extracted from these cells were used for library preparation. cDNA fragments were enriched for the junction between the poly(A) site and the end of the 3' UTR using a modified high throughput sequencing protocol (GnomeGen). cDNA libraries were created according to Gnome-Gen RNA-seq library preparation kit for RNA profiling except Amgen Ampure XP beads were used instead of the Gnome-gen size selector product to remove ligation reaction products before proceeding to the reverse transcription step. The libraries were sequenced on an Illumina HiSeq 2000 instrument. The sequencing reaction wasa run for 147 cycles. Reads from pol(A) enriched cDNA libraries were aligned to the genome using the STAR alignment algorithm after the computational removal of untemplated adenosines. Results: Polyadenylation site selection was significantly altered in approximately 10% of genes in quiescent compared with proliferating fibroblasts. Contact inhibited and serum starved fibroblasts had similar polyadenylation site selection profiles. Conclusions: Quiescence is associated with changes in polyadenylation site selection.

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