ReviewImmunology2008
Access to immunology through the Gene Ontology.
Review in Immunology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed.
- Article
- Epigenetic variation impacts individual differences in the transcriptional response to influenza infection.Nature genetics · 2024Article
- Dissecting the Immune System through Gene Regulation.Advances in experimental medicine and biology · 2024Article
- Decoding information on COVID-19: Ontological approach towards design possible therapeutics.Informatics in medicine unlocked · 2021Review
- CircFNDC3B sequestrates miR-937-5p to derepress TIMP3 and inhibit colorectal cancer progression.Molecular oncology · 2020Article
- Review
- CirGO: an alternative circular way of visualising gene ontology terms.BMC bioinformatics · 2019Article
- miRNA array analysis of plasma miRNA alterations in rats exposed to a high altitude hypoxic environment.Molecular medicine reports · 2018Article
- Transcriptome analysis of the threatened snail Ellobium chinense reveals candidate genes for adaptation and identifies SSRs for conservation genetics.Genes & genomics · 2018Article
- The IUPHAR/BPS Guide to PHARMACOLOGY in 2018: updates and expansion to encompass the new guide to IMMUNOPHARMACOLOGY.Nucleic acids research · 2018Article
- Integrated analysis of the potential roles of miRNA‑mRNA networks in triple negative breast cancer.Molecular medicine reports · 2017Article
- The adaptation of colorectal cancer cells when forming metastases in the liver: expression of associated genes and pathways in a mouse model.BMC cancer · 2017Article
- Primer on the Gene Ontology.Methods in molecular biology (Clifton, N.J.) · 2017Article
- Article
- An integrated analysis of the effects of microRNA and mRNA on esophageal squamous cell carcinoma.Molecular medicine reports · 2015Article
- Integrated microRNA-mRNA analysis revealing the potential roles of microRNAs in tongue squamous cell cancer.Molecular medicine reports · 2015Article
- Expression analysis of genes and pathways associated with liver metastases of the uveal melanoma.BMC medical genetics · 2014Article
- Comparison of gene expression profiles and related pathways in chronic thromboembolic pulmonary hypertension.International journal of molecular medicine · 2014Article
- The what, where, how and why of gene ontology--a primer for bioinformaticians.Briefings in bioinformatics · 2011Article
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
Abstract
The Gene Ontology (GO) is widely recognized as the premier tool for the organization and functional annotation of molecular aspects of cellular systems. However, for many immunologists the use of GO is a very foreign concept. Indeed, as a controlled vocabulary, GO can almost be considered a new language, and it can be difficult to appreciate the use and value of this approach for understanding the immune system. This review reflects on the application of GO to the field of immunology and explains the process of GO annotation. Finally, this review hopes to inspire immunologists to invest time and energy in improving both the content of the GO and the quality of GO annotations associated with genes of immunological interest.
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.