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DOI: 10.1038/nmeth.3321
¤ OpenAccess: Green
This work has “Green” OA status. This means it may cost money to access on the publisher landing page, but there is a free copy in an OA repository.

Quantitative gene profiling of long noncoding RNAs with targeted RNA sequencing

Michael B. Clark,Tim R. Mercer,Giovanni Bussotti,Tommaso Leonardi,Katelin Haynes,Joanna Crawford,Marion E. G. Brunck,Kim‐Anh Lê Cao,Gethin Thomas,Wendy Y. Chen,Ryan J. Taft,Lars K. Nielsen,Anton J. Enright,John S. Mattick,Marcel E. Dinger

Biology
RNA
Exon
2015
CaptureSeq was used to quantitatively profile transcripts with low expression, resulting in a catalog of long noncoding RNA expression in 20 human tissues. We compared quantitative RT-PCR (qRT-PCR), RNA-seq and capture sequencing (CaptureSeq) in terms of their ability to assemble and quantify long noncoding RNAs and novel coding exons across 20 human tissues. CaptureSeq was superior for the detection and quantification of genes with low expression, showed little technical variation and accurately measured differential expression. This approach expands and refines previous annotations and simultaneously generates an expression atlas.
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    Quantitative gene profiling of long noncoding RNAs with targeted RNA sequencing” is a paper by Michael B. Clark Tim R. Mercer Giovanni Bussotti Tommaso Leonardi Katelin Haynes Joanna Crawford Marion E. G. Brunck Kim‐Anh Lê Cao Gethin Thomas Wendy Y. Chen Ryan J. Taft Lars K. Nielsen Anton J. Enright John S. Mattick Marcel E. Dinger published in 2015. It has an Open Access status of “green”. You can read and download a PDF Full Text of this paper here.