ReviewBiology direct2015
Microarray experiments and factors which affect their reliability.
Review in Biology direct, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 3 of them syntheses that pooled 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.
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
57 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Guideline for designing microbiome studies in neoplastic diseases.GeroScience · 2024Guideline
- Candidate gene biodosimetry markers of exposure to external ionizing radiation in human blood: A systematic review.PloS one · 2018Pooled it
- Concordance analysis of microarray studies identifies representative gene expression changes in Parkinson's disease: a comparison of 33 human and animal studies.BMC neurology · 2017Pooled it
- Rice straw sample preparation protocol for cell wall major constituent analysis via Raman spectroscopy.STAR protocols · 2026Article
- DNA Nanoarray for Multiplexed RNA Detection With Single-Molecule Readout.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Stabilizing and directional selection shape the genetic variation of gene expression in the transcriptome of Chlamydomonas.Molecular biology and evolution · 2026Article
- Article
- Quantification of EV-associated miRNA in liquid biopsies for biomarker signature development.Extracellular vesicles and circulating nucleic acids · 2026Review
- Bioinformatics analysis reveals C5AR1's impact on thyroid cancer development via immune infiltration.Scientific reports · 2025Article
- Changes in sequencing technology used for preimplantation genetic testing for aneuploidy.Journal of assisted reproduction and genetics · 2025Review
- Non-coding RNAs, a double-edged sword in breast cancer prognosis.Cancer cell international · 2025Review
- Metagenomics as a Transformative Tool for Antibiotic Resistance Surveillance: Highlighting the Impact of Mobile Genetic Elements with a Focus on the Complex Role of Phages.Antibiotics (Basel, Switzerland) · 2025Review
- Article
- Monosomy 18p with Unbalanced Translocation Between 13 and 18 Chromosomes: First Reported Case in Serbia.Diagnostics (Basel, Switzerland) · 2025Article
- Detection of antimicrobial resistance via state-of-the-art technologies versus conventional methods.Frontiers in microbiology · 2025Review
- Approaches and Challenges in Characterizing the Molecular Content of Extracellular Vesicles for Biomarker Discovery.Biomolecules · 2024Review
- Discovery of RNA Biomarkers for Prostate Cancer Using Cross-Platform Transcriptomics.International journal of molecular sciences · 2024Article
- Application of spatial-omics to the classification of kidney biopsy samples in transplantation.Nature reviews. Nephrology · 2024Review
- Comparing methylation levels assayed in GC-rich regions with current and emerging methods.BMC genomics · 2024Article
- New insight in molecular detection of Mycobacterium tuberculosis.AMB Express · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Oligonucleotide microarrays belong to the basic tools of molecular biology and allow for simultaneous assessment of the expression level of thousands of genes. Analysis of microarray data is however very complex, requiring sophisticated methods to control for various factors that are inherent to the procedures used. In this article we describe the individual steps of a microarray experiment, highlighting important elements and factors that may affect the processes involved and that influence the interpretation of the results. Additionally, we describe methods that can be used to estimate the influence of these factors, and to control the way in which they affect the expression estimates. A comprehensive understanding of the experimental protocol used in a microarray experiment aids the interpretation of the obtained results. By describing known factors which affect expression estimates this article provides guidelines for appropriate quality control and pre-processing of the data, additionally applicable to other transcriptome analysis methods that utilize similar sample handling protocols.
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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.