ReviewGenetics2023
The Gene Ontology knowledgebase in 2023.
Review in Genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2,008 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
2,008 citing papers in PubMed, 2,549 citations in OpenAlex.
- scYeast: a biological-knowledge-guided foundation model on yeast single-cell transcriptomics.Synthetic and systems biotechnology · 2027Article
- Deciphering the interplay between serum urate and bone mineral density: insights from observational and genetic perspectives.Journal of the International Society of Sports Nutrition · 2026Article
- Article
- Identification of a Circular RNA as a Potential Diagnostic and Prognostic Biomarker in Breast Cancer Through Integrated Bioinformatic and Experimental Analyses.Analytical science advances · 2026Article
- Aggrecan and polymeric immunoglobulin receptor in extracellular vesicles of patients with seropositive rheumatoid arthritis.Journal of translational autoimmunity · 2026Article
- Differential transcriptional and epigenetic signatures in CD4Journal of translational autoimmunity · 2026Article
- PACS1 syndrome variant alters the proteomic landscape of developing cortical organoids.iScience · 2026Article
- Single-cell gene regulatory networks characterize colonic stem and immune cell homeostasis iniScience · 2026Article
- Targeting neurodevelopmental miR132-3p promotes neuroprotection and axon regeneration after optic nerve injury in mice.Brain research · 2026Article
- The structural context of mutations in proteins predicts their effect on antibiotic resistance.eLife · 2026Article
- The Drosophila SWI/SNF complex subunit Bap60 is required for training-induced gene transcription during long-term memory formation.Genetics · 2026Article
- Splicing genes as main targets of differential splicing.G3 (Bethesda, Md.) · 2026Article
- Shared molecular pathways in pediatric genetic epilepsies: Insights from a single-center cohort of 80 patients.Epilepsia open · 2026Article
- Problems With GO Enrichment as an Endpoint for Ecological Omics Interpretation.Molecular ecology · 2026Article
- Signals of Natural Selection across Regions of Low Recombination in Wild Populations of the Purple Sea Urchin, Strongylocentrotus purpuratus.Genome biology and evolution · 2026Article
- Life-History, Stress-Resistance, and Transcriptomic Variation Among a MexicanEcology and evolution · 2026Article
- Role of lipid-associated fibroblasts and their signature genes FABP4, CD36 and ABCA8 in gastric cancer progression.Oncology letters · 2026Article
- Molecular characterization of normal and physiologically suppressed human parathyroid glands at single-cell resolution.Journal of the Endocrine Society · 2026Article
- Introgression Shapes Genetic Variation Associated With Humid Environments in Aedes aegypti Mosquitoes From Saudi Arabia.Molecular ecology · 2026Article
- CDK7, CDK9, or CDK11 inhibition reduces neutrophil-driven inflammation and tissue damage in experimental autoimmune models.Cell communication and signaling : CCS · 2026Article
1,948 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
157 authors at 2 institutions in 4 countries.
Funding
Abstract
The Gene Ontology (GO) knowledgebase (http://geneontology.org) is a comprehensive resource concerning the functions of genes and gene products (proteins and noncoding RNAs). GO annotations cover genes from organisms across the tree of life as well as viruses, though most gene function knowledge currently derives from experiments carried out in a relatively small number of model organisms. Here, we provide an updated overview of the GO knowledgebase, as well as the efforts of the broad, international consortium of scientists that develops, maintains, and updates the GO knowledgebase. The GO knowledgebase consists of three components: (1) the GO-a computational knowledge structure describing the functional characteristics of genes; (2) GO annotations-evidence-supported statements asserting that a specific gene product has a particular functional characteristic; and (3) GO Causal Activity Models (GO-CAMs)-mechanistic models of molecular "pathways" (GO biological processes) created by linking multiple GO annotations using defined relations. Each of these components is continually expanded, revised, and updated in response to newly published discoveries and receives extensive QA checks, reviews, and user feedback. For each of these components, we provide a description of the current contents, recent developments to keep the knowledgebase up to date with new discoveries, and guidance on how users can best make use of the data that we provide. We conclude with future directions for the project.
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.