Evidence map›Paper›PMID 20615900›Full record

ArticleNucleic acids research2010

Tissue-specific transcript annotation and expression profiling with complementary next-generation sequencing technologies.

Matthew S Hestand, Andreas Klingenhoff, Matthias Scherf, Yavuz Ariyurek, Yolande Ramos, Wilbert van Workum, Makoto Suzuki, Thomas Werner, Gert-Jan B van Ommen, Johan T den Dunnen and 2 more

Abstract readEvaluation Study
In one paragraph

Article in Nucleic acids research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Quantitative biology of single neurons.Journal of the Royal Society, Interface · 2012
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  18. Sequencing technologies and genome sequencing.Journal of applied genetics · 2011
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Matthew S HestandThe Center for Human and Clinical Genetics, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.
Andreas Klingenhoff
Matthias Scherf
Yavuz Ariyurek
Yolande Ramos
Wilbert van Workum
Makoto Suzuki
Thomas Werner
Gert-Jan B van Ommen
Johan T den Dunnen
Matthias Harbers
Peter A C 't Hoen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next-generation sequencing is excellently suited to evaluate the abundance of mRNAs to study gene expression. Here we compare two alternative technologies, cap analysis of gene expression (CAGE) and serial analysis of gene expression (SAGE), for the same RNA samples. Along with quantifying gene expression levels, CAGE can be used to identify tissue-specific transcription start sites, while SAGE monitors 3'-end usage. We used both methods to get more insight into the transcriptional control of myogenesis, studying differential gene expression in differentiated and proliferating C2C12 myoblast cells with statistical evaluation of reproducibility and differential gene expression. Both CAGE and SAGE provided highly reproducible data (Pearson's correlations >0.92 among biological triplicates). With both methods we found around 10,000 genes expressed at levels >2 transcripts per million (approximately 0.3 copies per cell), with an overlap of 86%. We identified 4304 and 3846 genes differentially expressed between proliferating and differentiated C2C12 cells by CAGE and SAGE, respectively, with an overlap of 2144. We identified 196 novel regulatory regions with preferential use in proliferating or differentiated cells. Next-generation sequencing of CAGE and SAGE libraries provides consistent expression levels and can enrich current genome annotations with tissue-specific promoters and alternative 3'-UTR usage.

Indexed as

Sequence Analysis, RNA3' Untranslated RegionsAnimalsCell LineGene Expression ProfilingMiceModels, BiologicalMuscle DevelopmentMyoblastsOligonucleotide Array Sequence AnalysisReproducibility of ResultsSequence AlignmentTranscription Initiation Site3' Untranslated Regions

Identifiers

PMID20615900
PMCPMC2938216

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.