ReviewJournal of biomolecular techniques : JBT2006
The end of the microarray Tower of Babel: will universal standards lead the way?
Review in Journal of biomolecular techniques : JBT, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed.
- Cross-platform comparison of independent datasets identifies an immune signature associated with improved survival in metastatic melanoma.Oncotarget · 2016Article
- Novel insights into human respiratory syncytial virus-host factor interactions through integrated proteomics and transcriptomics analysis.Expert review of anti-infective therapy · 2016Article
- Transcriptome characterization by RNA-Seq reveals the involvement of the complement components in noise-traumatized rat cochleae.Neuroscience · 2013Article
- Age-related changes of gene expression in the neocortex: preliminary data on RNA-Seq of the transcriptome in three functionally distinct cortical areas.Development and psychopathology · 2012Article
- What mRNA Abundances Can Tell us about Metabolism.Metabolites · 2012Article
- Article
- Current status of methods to assess cancer drug resistance.International journal of medical sciences · 2011Review
- Evaluation of external RNA controls for the standardisation of gene expression biomarker measurements.BMC genomics · 2010Article
- Expectations, validity, and reality in gene expression profiling.Journal of clinical epidemiology · 2010Review
- Gene expression profiling of mouse embryos with microarrays.Methods in enzymology · 2010Article
- Time-resolved Förster-resonance-energy-transfer DNA assay on an active CMOS microarray.Biosensors & bioelectronics · 2008Article
- Validation of oligoarrays for quantitative exploration of the transcriptome.BMC genomics · 2008Article
- Optimization of cDNA microarrays procedures using criteria that do not rely on external standards.BMC genomics · 2007Article
- Review of the literature examining the correlation among DNA microarray technologies.Environmental and molecular mutagenesis · 2007Review
- nuID: a universal naming scheme of oligonucleotides for illumina, affymetrix, and other microarrays.Biology direct · 2007Article
- Using genomics to understand intestinal biology.Journal of physiology and biochemistry · 2007Review
- Gene expression in the human brain: the current state of the study of specificity and spatiotemporal dynamics.Child developmentReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microarrays are the most common method of studying global gene expression, and may soon enter the realm of FDA-approved clinical/diagnostic testing of cancer and other diseases. However, the acceptance of array data has been made difficult by the proliferation of widely different array platforms with gene probes ranging in size from 25 bases (oligonucleotides) to several kilobases (complementary DNAs or cDNAs). The algorithms applied for image and data analysis are also as varied as the microarray platforms, perhaps more so. In addition, there is a total lack of universally accepted standards for use among the different platforms and even within the same array types. Due to this lack of coherency in array technologies, confusion in interpretation of data within and across platforms has often been the norm, and studies of the same biological phenomena have, in many cases, led to contradictory results. In this commentary/review, some of the causes of this confusion will be summarized, and progress in overcoming these obstacles will be described, with the goal of providing an optimistic view of the future for the use of array technologies in global expression profiling and other applications.
Indexed as
Identifiers
16870711PMC2291790What 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.