TY - JOUR
T1 - Quantification of the yeast transcriptome by single-molecule sequencing
AU - Lipson, Doron
AU - Raz, Tal
AU - Kieu, Alix
AU - Jones, Daniel R.
AU - Giladi, Eldar
AU - Thayer, Edward
AU - Thompson, John F.
AU - Letovsky, Stan
AU - Milos, Patrice
AU - Causey, Marie
PY - 2009/7
Y1 - 2009/7
N2 - We present single-molecule sequencing digital gene expression (smsDGE), a high-throughput, amplification-free method for accurate quantification of the full range of cellular polyadenylated RNA transcripts using a Helicos Genetic Analysis system. smsDGE involves a reverse-transcription and polyA-tailing sample preparation procedure followed by sequencing that generates a single read per transcript. We applied smsDGE to the transcriptome of Saccharomyces cerevisiae strain DBY746, using 6 of the available 50 channels in a single sequencing run, yielding on average 12 million aligned reads per channel. Using spiked-in RNA, accurate quantitative measurements were obtained over four orders of magnitude. High correlation was demonstrated across independent flow-cell channels, instrument runs and sample preparations. Transcript counting in smsDGE is highly efficient due to the representation of each transcript molecule by a single read. This efficiency, coupled with the high throughput enabled by the single-molecule sequencing platform, provides an alternative method for expression profiling.
AB - We present single-molecule sequencing digital gene expression (smsDGE), a high-throughput, amplification-free method for accurate quantification of the full range of cellular polyadenylated RNA transcripts using a Helicos Genetic Analysis system. smsDGE involves a reverse-transcription and polyA-tailing sample preparation procedure followed by sequencing that generates a single read per transcript. We applied smsDGE to the transcriptome of Saccharomyces cerevisiae strain DBY746, using 6 of the available 50 channels in a single sequencing run, yielding on average 12 million aligned reads per channel. Using spiked-in RNA, accurate quantitative measurements were obtained over four orders of magnitude. High correlation was demonstrated across independent flow-cell channels, instrument runs and sample preparations. Transcript counting in smsDGE is highly efficient due to the representation of each transcript molecule by a single read. This efficiency, coupled with the high throughput enabled by the single-molecule sequencing platform, provides an alternative method for expression profiling.
UR - http://www.scopus.com/inward/record.url?scp=67650500019&partnerID=8YFLogxK
U2 - 10.1038/nbt.1551
DO - 10.1038/nbt.1551
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C2 - 19581875
AN - SCOPUS:67650500019
SN - 1087-0156
VL - 27
SP - 652
EP - 658
JO - Nature Biotechnology
JF - Nature Biotechnology
IS - 7
ER -