2009
DOI: 10.1038/nbt.1551
|View full text |Cite
|
Sign up to set email alerts
|

Quantification of the yeast transcriptome by single-molecule sequencing

Abstract: 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 cha… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

3
184
1
2

Year Published

2010
2010
2019
2019

Publication Types

Select...
4
4
1

Relationship

0
9

Authors

Journals

citations
Cited by 182 publications
(190 citation statements)
references
References 24 publications
3
184
1
2
Order By: Relevance
“…Since RPs are needed in equimolar within the ribosome (Spahn et al 2001), and since pairs of duplicated RP genes encode nearly identical proteins and are thus functionally redundant within the ribosome (Lucioli et al 1988;Rotenberg et al 1988), we may expect their transcripts to have lower expression levels than transcripts of RP genes that have only one copy in the yeast genome. To test this hypothesis, we obtained mRNA abundance measurements from three different DNA microarray technologies (Holstege et al 1998;David et al 2006;Lipson et al 2009) and three different RNA-seq techniques (Nagalakshmi et al 2008;Lipson et al 2009;Yassour et al 2009). Indeed, in all six data sets, transcripts of singlecopy RP genes are expressed at significantly higher levels than transcripts of duplicated RP genes ( Fig.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Since RPs are needed in equimolar within the ribosome (Spahn et al 2001), and since pairs of duplicated RP genes encode nearly identical proteins and are thus functionally redundant within the ribosome (Lucioli et al 1988;Rotenberg et al 1988), we may expect their transcripts to have lower expression levels than transcripts of RP genes that have only one copy in the yeast genome. To test this hypothesis, we obtained mRNA abundance measurements from three different DNA microarray technologies (Holstege et al 1998;David et al 2006;Lipson et al 2009) and three different RNA-seq techniques (Nagalakshmi et al 2008;Lipson et al 2009;Yassour et al 2009). Indeed, in all six data sets, transcripts of singlecopy RP genes are expressed at significantly higher levels than transcripts of duplicated RP genes ( Fig.…”
Section: Resultsmentioning
confidence: 99%
“…RPs for which a measurement was missing in a given data set appear as gray bars and are sorted to the bottom of the list. The ranking is shown for our library of RP promoter fusions (leftmost column), for transcription rate measurements using DNA microarrays (Holstege et al 1998) (second column), and for mRNA abundance measurements using DNA microarrays (David et al 2006;Lipson et al 2009) or RNA-seq (Nagalakshmi et al 2008;Lipson et al 2009;Yassour et al 2009). For each data set, the rank-sum test P-value that tests whether the ranking of singlecopy RPs is higher than that of duplicated RPs is shown.…”
Section: Obtaining Accurate Measurements Of Rp Promoter Activitiesmentioning
confidence: 99%
“…Bioinformatics-To compute digital gene expression (DGE) from the Helicos sequence data for the RefSeq genes, we used the DGE pipeline of HeliSphere 1.1.498.63 software using the Mouse.Txome reference files with default settings (14). To compute DGE for Repbase to deal with the fact that reads of repetitive sequence will often align to multiple locations in the genome, we used a method called Probabilistic Assessment of Sequencing Alignments that assigns weights to multiple alignments for a read.…”
Section: Methodsmentioning
confidence: 99%
“…Namely, next generation sequencing technologies, which are rapidly revolutionizing evolutionary biology research will be of paramount interest (Rokas & Abbot 2009). These approaches have already showed their efficiency in various applications, including rapid SNP (single nucleotide polymorphism) discovery (Barbazuk et al 2007), genome sequencing of ecologically important models (Vera et al 2008) as well as accurate gene expression analysis (Torres et al 2007;Lipson et al 2009). High throughput pyrosequencing (454 Life Sciences, Margulies et al 2005) is particularly relevant to the study of non-model organisms such as whitefish since it yields longer sequencing reads than any other method, allowing more accurate de novo sequence assemblies in the absence of reference genomes.…”
Section: Future Directions: Stepping Into the Next-generation Sequencmentioning
confidence: 99%