ArticleNucleic acids research2024
Expression Atlas update: insights from sequencing data at both bulk and single cell level.
Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 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
37 citing papers in PubMed.
- Pasta, a Versatile Transcriptomic Clock, Maps the Chemical and Genetic Determinants of Aging and Rejuvenation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
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- Computational modelling of cell identity.The Biochemical journal · 2026Review
- HuNT: A Reference Transcriptome Atlas for Human Normal Tissues.Phenomics (Cham, Switzerland) · 2026Article
- The Single Cell Notebooks for inclusive and accessible training in single-cell and spatial omics.Nature genetics · 2026Article
- The Cell Ontology in the age of single-cell omics.Scientific data · 2026Article
- SorghumBase: a knowledgebase for sorghum genomics, phenomics, and stakeholder engagement.Genetics · 2026Article
- Article
- Mapping cis-regulatory mutations at scale in sorghum enables modulation of gene expression.Nature biotechnology · 2026Article
- RNA-KG v2.0: an RNA-centered Knowledge Graph with Properties.NAR genomics and bioinformatics · 2026Article
- Brain-derived neurotrophic factor and the derived dodecapeptide function as Toll-like receptor 4 antagonists in acute lung injury.Nature communications · 2026Article
- A single-cell derived spheroid approach to dissect intratumoural heterogeneity in colorectal cancer: cell lines show changes in proteomes and therapeutic response to 5-FU.Journal of cancer research and clinical oncology · 2026Article
- Harnessing AI to fuse phenotypic signatures for drug target identification: progress in computational modeling.Briefings in bioinformatics · 2026Review
- The mouse Gene Expression Database (GXD): 2026 update.Nucleic acids research · 2026Article
- Expression Atlas in 2026: enabling FAIR and open expression data through community collaboration and integration.Nucleic acids research · 2026Article
- Gramene 2025: expanded comparative genomics and pathway resources, integrated search, and pan-genome portals for crop research.Nucleic acids research · 2026Article
- The ProteomeXchange consortium in 2026: making proteomics data FAIR.Nucleic acids research · 2026Article
- Integrative Pan-Cancer Characterization of lncRNA UPK1A-AS1 and Its Role in Hypoxia-Associated Sorafenib Resistance in Hepatocellular Carcinoma.Analytical cellular pathology (Amsterdam) · 2026Article
- Integrating single-cell transcriptomics with deep learning for glioblastoma treatment.Frontiers in genetics · 2026Review
- Characterization of a Rice GH5_11 Gene Associated with Endosperm and Seed Traits.Plants (Basel, Switzerland) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
31 authors.
Funding
Abstract
Expression Atlas (www.ebi.ac.uk/gxa) and its newest counterpart the Single Cell Expression Atlas (www.ebi.ac.uk/gxa/sc) are EMBL-EBI's knowledgebases for gene and protein expression and localisation in bulk and at single cell level. These resources aim to allow users to investigate their expression in normal tissue (baseline) or in response to perturbations such as disease or changes to genotype (differential) across multiple species. Users are invited to search for genes or metadata terms across species or biological conditions in a standardised consistent interface. Alongside these data, new features in Single Cell Expression Atlas allow users to query metadata through our new cell type wheel search. At the experiment level data can be explored through two types of dimensionality reduction plots, t-distributed Stochastic Neighbor Embedding (tSNE) and Uniform Manifold Approximation and Projection (UMAP), overlaid with either clustering or metadata information to assist users' understanding. Data are also visualised as marker gene heatmaps identifying genes that help confer cluster identity. For some data, additional visualisations are available as interactive cell level anatomograms and cell type gene expression heatmaps.
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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.