SynthesisScientific reports2016
Revealing the acute asthma ignorome: characterization and validation of uninvestigated gene networks.
Synthesis in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.
What it found
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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
18 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Knowledge-Driven Mechanistic Enrichment of the Preeclampsia Ignorome.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2023Pooled it
- The characteristics of early-stage research into human genes are substantially different from subsequent research.PLoS biology · 2022Pooled it
- International Mouse Phenotyping Consortium Portal: facilitating investigation of gene function and providing insights into human disease.Nucleic acids research · 2026Article
- International Mouse Phenotyping Consortium: Investigating gene function and providing insights into human disease.bioRxiv : the preprint server for biology · 2025Article
- A graph theoretical approach to experimental prioritization in genome-scale investigations.Mammalian genome : official journal of the International Mammalian Genome Society · 2024Article
- Article
- Meta-Research: understudied genes are lost in a leaky pipeline between genome-wide assays and reporting of results.bioRxiv : the preprint server for biology · 2024Article
- Nuclear receptor Nr1d1 alleviates asthma by abating GATA3 gene expression and Th2 cell differentiation.Cellular and molecular life sciences : CMLS · 2022Article
- Differential expression and regulation of MS4A family members in myeloid cells in physiological and pathological conditions.Journal of leukocyte biology · 2022Article
- STAT6 Blockade AbrogatesFrontiers in immunology · 2022Article
- Protective effects of glaucocalyxin A on the airway of asthmatic mice.Open medicine (Warsaw, Poland) · 2022Article
- Genetic Dissection of Femoral and Tibial Microarchitecture.JBMR plus · 2019Article
- Open Agile text mining for bioinformatics: the PubAnnotation ecosystem.Bioinformatics (Oxford, England) · 2019Article
- Article
- Tumor suppressor PNRC1 blocks rRNA maturation by recruiting the decapping complex to the nucleolus.The EMBO journal · 2018Article
- Large-scale investigation of the reasons why potentially important genes are ignored.PLoS biology · 2018Article
- Article
- Impaired response of the bronchial epithelium to inflammation characterizes severe equine asthma.BMC genomics · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Systems biology provides opportunities to fully understand the genes and pathways in disease pathogenesis. We used literature knowledge and unbiased multiple data meta-analysis paradigms to analyze microarray datasets across different mouse strains and acute allergic asthma models. Our combined gene-driven and pathway-driven strategies generated a stringent signature list totaling 933 genes with 41% (440) asthma-annotated genes and 59% (493) ignorome genes, not previously associated with asthma. Within the list, we identified inflammation, circadian rhythm, lung-specific insult response, stem cell proliferation domains, hubs, peripheral genes, and super-connectors that link the biological domains (Il6, Il1ß, Cd4, Cd44, Stat1, Traf6, Rela, Cadm1, Nr3c1, Prkcd, Vwf, Erbb2). In conclusion, this novel bioinformatics approach will be a powerful strategy for clinical and across species data analysis that allows for the validation of experimental models and might lead to the discovery of novel mechanistic insights in asthma.
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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.