ReviewCell2012
Revisiting global gene expression analysis.
Review in Cell, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 358 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
358 citing papers in PubMed.
- Exosomes delivering a high-throughput-screened RNA polymerase inhibitor for highly effective therapy of multidrug-resistant bacterial infected pneumonia.Bioactive materials · 2026Article
- Recordanelles for transcriptome-wide single-cell RNA recording in human cells.Nature biotechnology · 2026Article
- Genome-wide absolute quantification of chromatin looping.Nature structural & molecular biology · 2026Article
- CSsingle: a unified tool for robust decomposition of bulk and spatial transcriptomic data across diverse single-cell references.Nucleic acids research · 2026Article
- DIS3 mutations enhance AID-driven translocations during B-cell activation, promoting transformation to multiple myeloma.Nature communications · 2026Article
- Tumor microenvironment transcriptional activity enables robust stratification of chemotherapy response in triple-negative breast cancer.Cell reports. Medicine · 2026Article
- Incorporating Scale Uncertainty into Differential Expression Analyses Using ALDEx2.Current protocols · 2026Article
- Differentiation between regulated and disrupted growth arrests allows tailoring of effective treatments for antibiotic persistence.Science advances · 2026Article
- The longitudinal expression ofMicrobiology (Reading, England) · 2026Article
- Practical RNA-Seq with Spike-Ins: A Bench-to-Bioinformatics Guide.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Effects of prenatal transportation stress on liver gene expression in male and female Brahman calves.Frontiers in genetics · 2026Article
- iCRCexp: An Integrative Database for Colorectal Cancer-Associated Gene Expression Profiles.Cancer informatics · 2026Article
- SARS-CoV-2 nonstructural protein 1 suppresses host transcription by reducing RNA polymerase II levels.iScience · 2025Article
- Genome-scale transcriptome augmentation during Arabidopsis thaliana photomorphogenesis.Nature communications · 2025Article
- LUMINIDEPENDENS orchestrates global transcriptional repression inProceedings of the National Academy of Sciences of the United States of America · 2025Article
- Protamine expression in somatic cells condenses chromatin and disrupts transcription without altering DNA methylation.Epigenetics & chromatin · 2025Article
- Detecting Environmental Stress In Situ Using Molecular Data: A Case Study with the Filamentous Green AlgaMicroorganisms · 2025Article
- Explicit Scale Simulation for analysis of RNA-sequencing count data with ALDEx2.NAR genomics and bioinformatics · 2025Article
- Prediction of Cerebrospinal Fluid (CSF) Pressure with Generative Adversarial Network Synthetic Plasma-CSF Biomarker Pairing.Neuroinformatics · 2025Article
- Exploring the complexity of MECP2 function in Rett syndrome.Nature reviews. Neuroscience · 2025Review
298 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Gene expression analysis is a widely used and powerful method for investigating the transcriptional behavior of biological systems, for classifying cell states in disease, and for many other purposes. Recent studies indicate that common assumptions currently embedded in experimental and analytical practices can lead to misinterpretation of global gene expression data. We discuss these assumptions and describe solutions that should minimize erroneous interpretation of gene expression data from multiple analysis platforms.
Indexed as
Identifiers
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.