ArticleBMC genomics2009
Estimating accuracy of RNA-Seq and microarrays with proteomics.
Article in BMC genomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 156 papers.
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Who cites it
156 citing papers in PubMed.
- Cis and trans acting factors involved in human cytomegalovirus experimental and natural latent infection of CD14 (+) monocytes and CD34 (+) cells.PLoS pathogens · 2013Trial
- RNA-seq reveals activation of both common and cytokine-specific pathways following neutrophil priming.PloS one · 2013Trial
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- Transcriptomic Analysis of the Rainbow Trout Response to Single and Co-Infections withInternational journal of molecular sciences · 2025Article
- Transcriptomic Insights Into Serum-Free Medium Adaptation and Temperature Reduction in Chinese Hamster Ovary Cell Cultures.Biotechnology journal · 2025Article
- Long-read subcellular fractionation and sequencing reveals the translational fate of full-length mRNA isoforms during neuronal differentiation.Genome research · 2024Article
- Based proteomics analyses reveal response mechanisms of Apis mellifera (Hymenoptera: Apidae) against the heat stress.Journal of insect science (Online) · 2024Article
- Whole blood transcriptomics identifies subclasses of pediatric septic shock.Critical care (London, England) · 2023Article
- Peonidin-3-Nutrients · 2023Article
- Transcriptome-Based Evaluation of Optimal Reference Genes for Quantitative Real-Time PCR in Yak Stomach throughout the Growth Cycle.Animals : an open access journal from MDPI · 2023Article
- Identification of key genes for HNSCC from public databases using bioinformatics analysis.Cancer cell international · 2021Article
- Status of diagnosis and treatment of esophageal cancer and non-coding RNA correlation research: a narrative review.Translational cancer research · 2021Review
- Loss of Gene Information: Discrepancies between RNA Sequencing, cDNA Microarray, and qRT-PCR.International journal of molecular sciences · 2021Article
- Quantitative proteomic analysis to capture the role of heat-accumulated proteins in moss plant acquired thermotolerance.Plant, cell & environment · 2021Article
- Comparison Between Expression Microarrays and RNA-Sequencing Using UKBEC Dataset Identified aFrontiers in neurology and neuroscience research · 2020Article
- Increased comparability between RNA-Seq and microarray data by utilization of gene sets.PLoS computational biology · 2020Article
- Transcriptome-based selection and validation of optimal house-keeping genes for skin research in goats (Capra hircus).BMC genomics · 2020Article
- Spaceflight induces novel regulatory responses in Arabidopsis seedling as revealed by combined proteomic and transcriptomic analyses.BMC plant biology · 2020Article
96 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMicroarrays revolutionized biological research by enabling gene expression comparisons on a transcriptome-wide scale. Microarrays, however, do not estimate absolute expression level accurately. At present, high throughput sequencing is emerging as an alternative methodology for transcriptome studies. Although free of many limitations imposed by microarray design, its potential to estimate absolute transcript levels is unknown.
resultsIn this study, we evaluate relative accuracy of microarrays and transcriptome sequencing (RNA-Seq) using third methodology: proteomics. We find that RNA-Seq provides a better estimate of absolute expression levels.
conclusionOur result shows that in terms of overall technical performance, RNA-Seq is the technique of choice for studies that require accurate estimation of absolute transcript levels.
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