2011
DOI: 10.1371/journal.pone.0021910
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Scalable Transcriptome Preparation for Massive Parallel Sequencing

Abstract: BackgroundThe tremendous output of massive parallel sequencing technologies requires automated robust and scalable sample preparation methods to fully exploit the new sequence capacity.MethodologyIn this study, a method for automated library preparation of RNA prior to massively parallel sequencing is presented. The automated protocol uses precipitation onto carboxylic acid paramagnetic beads for purification and size selection of both RNA and DNA. The automated sample preparation was compared to the standard … Show more

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Cited by 19 publications
(21 citation statements)
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“…For gene profiling, total RNA from confluent cultures of the two fibroblast pairs were analyzed using the Illumina HiSeq technology, identifying 53,196 expressed mRNAs and noncoding regulatory RNAs 19. To identify the differentially expressed transcripts in relation to the inhibitory phenotype, we selected the genes whose expression profile showed the following features:…”
Section: Resultsmentioning
confidence: 99%
“…For gene profiling, total RNA from confluent cultures of the two fibroblast pairs were analyzed using the Illumina HiSeq technology, identifying 53,196 expressed mRNAs and noncoding regulatory RNAs 19. To identify the differentially expressed transcripts in relation to the inhibitory phenotype, we selected the genes whose expression profile showed the following features:…”
Section: Resultsmentioning
confidence: 99%
“…The RNA extracts were stored at -80°C. Each RNA sample was bar-coded and prepared according to Illumina mRNA-seq sample preparation and kit with the automated platform previously described [18]. The barcoded libraries were pooled together in pairs at equal concentrations and clustered on a cBot cluster-generation system using the Illumina HiSeq single-read cluster generation kit according to the protocol from the manufacturer.…”
Section: Methodsmentioning
confidence: 99%
“…This has been achieved by setting up library preparation protocols on robotic workstations9101112131415. It has previously been shown that a 12-channel liquid handling robot can increase sample preparation throughput by up to six times9.…”
mentioning
confidence: 99%