ReviewEMBO reports2004
In control: systematic assessment of microarray performance.
Review in EMBO reports, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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.
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.
Who cites it
28 citing papers in PubMed, 69 citations in OpenAlex.
- A balancing act: interactions within NuA4/TIP60 regulate picNuA4 function in Saccharomyces cerevisiae and humans.Genetics · 2022Article
- A high-resolution gene expression atlas of epistasis between gene-specific transcription factors exposes potential mechanisms for genetic interactions.BMC biology · 2015Article
- A novel role for Sem1 and TREX-2 in transcription involves their impact on recruitment and H2B deubiquitylation activity of SAGA.Nucleic acids research · 2013Article
- Yeast glucose pathways converge on the transcriptional regulation of trehalose biosynthesis.BMC genomics · 2012Article
- A barcode screen for epigenetic regulators reveals a role for the NuB4/HAT-B histone acetyltransferase complex in histone turnover.PLoS genetics · 2011Article
- The specificity and topology of chromatin interaction pathways in yeast.Molecular cell · 2011Article
- Exploring the use of internal and externalcontrols for assessing microarray technical performance.BMC research notes · 2010Article
- Functional overlap and regulatory links shape genetic interactions between signaling pathways.Cell · 2010Article
- Custom design and analysis of high-density oligonucleotide bacterial tiling microarrays.PloS one · 2009Article
- Epithelial-to-mesenchymal transition in early transplant tubulointerstitial damage.Journal of the American Society of Nephrology : JASN · 2008Article
- A study of the relationships between oligonucleotide properties and hybridization signal intensities from NimbleGen microarray datasets.Nucleic acids research · 2008Article
- A global view of transcriptional regulation by nuclear receptors: gene expression, factor localization, and DNA sequence analysis.Nuclear receptor signaling · 2008Review
- Optimization of cDNA microarrays procedures using criteria that do not rely on external standards.BMC genomics · 2007Article
- Orthogonal projections to latent structures as a strategy for microarray data normalization.BMC bioinformatics · 2007Article
- Review of the literature examining the correlation among DNA microarray technologies.Environmental and molecular mutagenesis · 2007Review
- Unraveling the molecular targets pertinent to junction restructuring events during spermatogenesis using the Adjudin-induced germ cell depletion model.The Journal of endocrinology · 2007Article
- Genome-wide analysis of chromatin status using tiling microarrays.Methods (San Diego, Calif.) · 2007Article
- Transcriptional regulatory network refinement and quantification through kinetic modeling, gene expression microarray data and information theory.BMC bioinformatics · 2007Article
- Normalization of low-density microarray using external spike-in controls: analysis of macrophage cell lines expression profile.BMC genomics · 2007Article
- Data quality in genomics and microarrays.Nature biotechnology · 2006Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Expression profiling using DNA microarrays is a powerful technique that is widely used in the life sciences. How reliable are microarray-derived measurements? The assessment of performance is challenging because of the complicated nature of microarray experiments and the many different technology platforms. There is a mounting call for standards to be introduced, and this review addresses some of the issues that are involved. Two important characteristics of performance are accuracy and precision. The assessment of these factors can be either for the purpose of technology optimization or for the evaluation of individual microarray hybridizations. Microarray performance has been evaluated by at least four approaches in the past. Here, we argue that external RNA controls offer the most versatile system for determining performance and describe how such standards could be implemented. Other uses of external controls are discussed, along with the importance of probe sequence availability and the quantification of labelled material.
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What OpenQuestion holds
Registered trials
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.