Ontology highlight
ABSTRACT:
PROVIDER: PRJNA742746 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Transposon-based construction of strand-specific RNA-seq libraries
| PRJNA147303 | ENA
Project description:We have developed two methods for efficiently consructing RNA-seq libraries using transposition. Each method constructs high quality RNA-seq libraries when compared to standard approaches. One of the methods (Directional Tn-RNA-seq) maintains strand-of-origin information and exhibits strand specificity comparable to current approaches.
2011-10-10 | GSE32307 | GEO
Project description:We have developed two methods for efficiently consructing RNA-seq libraries using transposition. Each method constructs high quality RNA-seq libraries when compared to standard approaches. One of the methods (Directional Tn-RNA-seq) maintains strand-of-origin information and exhibits strand specificity comparable to current approaches. RNA-seq libraries were constructed from ECC-1, a human cell line, and Universal Human Reference RNA using transposon-based and standard RNA-seq library construciton methods.
2011-10-10 | E-GEOD-32307 | biostudies-arrayexpress
Project description:We developed a new method of preparing libraries for strand-specific RNA sequencing (ssRNA-Seq). It employs Direct Ligation of Adaptors to First-strand cDNA (DLAF). We compared ssRNA-Seq libraries prepared using either the DLAF and dUTP methods from mouse embryonic stem cells (mES) and libraries were sequenced from one end or both ends. We also conducted a comparison of ssRNA-Seq libraries prepared using DLAF and ScriptSeq v2 kit (Epicenter) from mouse embryonic cortex (mECx).
2015-01-01 | GSE63424 | GEO
Project description:We developed a new method of preparing libraries for strand-specific RNA sequencing (ssRNA-Seq). It employs Direct Ligation of Adaptors to First-strand cDNA (DLAF). We compared ssRNA-Seq libraries prepared using either the DLAF and dUTP methods from mouse embryonic stem cells (mES) and libraries were sequenced from one end or both ends. We also conducted a comparison of ssRNA-Seq libraries prepared using DLAF and ScriptSeq v2 kit (Epicenter) from mouse embryonic cortex (mECx). RNA was isolated using either Trizol or Qiagen Rneasy kit. rRNA is depleted using Eukaryote Ribominus v2 kit and libraries were prepared using one of the methods.
2015-01-01 | E-GEOD-63424 | biostudies-arrayexpress
Project description:Chromosome-long haplotyping of a family trio using Strand-Seq. Samples NA12878, NA12891 and NA12892
| PRJEB14185 | ENA
Project description:<p>The Cholesterol and Pharmacogenetics Study was a 6-week open label, non-randomized study of 40mg/day simvastatin treatment in 335 African-American and 609 Caucasian (944 total) men and women. Plasma lipids and lipoproteins were measured on two occasions prior to treatment and at 4 and 6 weeks of treatment. The study was designed to test for genetic associations with baseline measurements and changes in response to simvastatin treatment.</p> <p>Whole genome genotyping was performed on 592 Caucasian CAP study participants in two stages. In Stage 1, 304 were genotyped for 314,621 SNPs to tag for common genomic variation. In Stage 2, 290 participants were genotyped, including 280 who were genotyped for 620,901 SNPs. Two samples were excluded due to gender discrepancies.</p> <p>PolyA-selected strand-specific RNA-seq libraries were generated from lymphoblastoid cell lines (LCLs) derived from 104 Caucasian and 53 African American CAP participants. The LCLs were exposed to sham buffer (control) or 2 uM activated simvastatin for 24 hours, producing a total of 314 100/101 bp paired end RNA-seq libraries sequenced on Illumina HiSeq 2000 machines.</p>
| phs000481 | dbGaP
Project description:Strand-seq libraries for individuals HG00512-HG00514, HG00731-HG00733 and NA19238-NA19240
| PRJEB12849 | ENA
Project description:Strand-specific massively-parallel cDNA sequencing (RNA-Seq) is a powerful tool for novel transcript discovery, genome annotation, and expression profiling. Despite multiple published methods for strand-specific RNA-Seq, no consensus exists as to how to choose between them. Here, we developed a comprehensive computational pipeline for the comparison of library quality metrics from any RNA-Seq method. Using the well-annotated Saccharomyces cerevisiae transcriptome as a benchmark, we compared seven library construction protocols, including both published and our own novel methods. We found marked differences in complexity, strand-specificity, evenness and continuity of coverage, agreement with known annotations, and accuracy for expression profiling. Weighing each method’s performance and ease, we identify the dUTP second strand marking and the Illumina RNA ligation methods as the leading protocols, with the former benefitting from the availability of paired-end sequencing. Our analysis provides a comprehensive benchmark, and our computational pipeline is applicable for assessment of future protocols in any organism. Examination of 11 different strand-specific RNA-Seq libraries from 7 distinct methods; also 2 control non-strand-specific RNA-Seq libraries. To assess the performance of each strand-specific library in digital expression profiling, we compared them to reference expression measurements estimated from expression profiles using competitive hybridization of a mid-log RNA sample vs. genomic DNA using Agilent arrays.
2010-08-15 | E-GEOD-21739 | biostudies-arrayexpress
Project description:Next-generation sequencing has been widely used for the genome-wide profiling of histone modifications, transcription factor binding and gene expression through chromatin immunoprecipitated DNA sequencing (ChIP-seq) and cDNA sequencing (RNA-seq). Here, we describe a versatile library construction method that can be applied to both ChIP-seq and RNA-seq on the widely used Illumina platforms. Standard methods for ChIP-seq library construction require nanograms of starting DNA, substantially limiting its application to rare cell types or limited clinical samples. By minimizing the DNA purification steps that cause major sample loss, our method achieved a high sensitivity in ChIP-seq library preparation. Using this method, we achieved the following: (1) generated high-quality epigenomic and transcription factor-binding maps using ChIP-seq for murine adipocytes; (2) successfully prepared a ChIP-seq library from as little as 25 pg of starting DNA; (3) achieved paired-end sequencing of the ChIP-seq libraries; (4) systematically profiled gene expression dynamics during murine adipogenesis using RNA-seq; and (5) preserved the strand specificity of the transcripts in RNA-seq. Given its sensitivity and versatility in both double-stranded and single-stranded DNA library construction, this method has wide applications in genomic, epigenomic, transcriptomic and interactomic studies. Pre-adipocytes and mature adipocytes were collected. Their chromatin and RNA were subjected to ChIP and mRNA extraction. Sequencing libraries from ChIP DNA or mRNA were generated following either standard protocols or TELP method. The quality and features of TELP libraries were proved and demonstrated in comparison with standard libraries or other published data.
2015-12-15 | E-GEOD-75966 | biostudies-arrayexpress