Evidence map›Paper›PMID 18927111›Full record

ArticleNucleic acids research2008

Deep sequencing-based expression analysis shows major advances in robustness, resolution and inter-lab portability over five microarray platforms.

Peter A C 't Hoen, Yavuz Ariyurek, Helene H Thygesen, Erno Vreugdenhil, Rolf H A M Vossen, Renée X de Menezes, Judith M Boer, Gert-Jan B van Ommen, Johan T den Dunnen

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Nucleic acids research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 414 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
414citing papers in PubMed, 2 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

414 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Article
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354 more citing papers are in PubMed but not listed here.

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

9 authors.

Peter A C 't HoenThe Center for Human and Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands. p.a.c.hoen@lumc.nl
Yavuz Ariyurek
Helene H Thygesen
Erno Vreugdenhil
Rolf H A M Vossen
Renée X de Menezes
Judith M Boer
Gert-Jan B van Ommen
Johan T den Dunnen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The hippocampal expression profiles of wild-type mice and mice transgenic for deltaC-doublecortin-like kinase were compared with Solexa/Illumina deep sequencing technology and five different microarray platforms. With Illumina's digital gene expression assay, we obtained approximately 2.4 million sequence tags per sample, their abundance spanning four orders of magnitude. Results were highly reproducible, even across laboratories. With a dedicated Bayesian model, we found differential expression of 3179 transcripts with an estimated false-discovery rate of 8.5%. This is a much higher figure than found for microarrays. The overlap in differentially expressed transcripts found with deep sequencing and microarrays was most significant for Affymetrix. The changes in expression observed by deep sequencing were larger than observed by microarrays or quantitative PCR. Relevant processes such as calmodulin-dependent protein kinase activity and vesicle transport along microtubules were found affected by deep sequencing but not by microarrays. While undetectable by microarrays, antisense transcription was found for 51% of all genes and alternative polyadenylation for 47%. We conclude that deep sequencing provides a major advance in robustness, comparability and richness of expression profiling data and is expected to boost collaborative, comparative and integrative genomics studies.

Indexed as

Alternative SplicingAnimalsBayes TheoremDoublecortin-Like KinasesGene Expression ProfilingHippocampusMaleMiceMice, Inbred C57BLMice, TransgenicOligonucleotide Array Sequence AnalysisPolyadenylationPolymerase Chain ReactionProtein Serine-Threonine KinasesReproducibility of ResultsRNA, AntisenseDclk1 protein, mouseDoublecortin-Like KinasesProtein Serine-Threonine KinasesRNA, Antisense

Identifiers

PMID18927111
PMCPMC2588528

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Registered trials

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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.