ArticleBiomedicines2021
Multi-Omic Meta-Analysis of Transcriptomes and the Bibliome Uncovers Novel Hypoxia-Inducible Genes.
Article in Biomedicines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 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.
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Who cites it
19 citing papers in PubMed, 3 syntheses or guidelines pooled it, 30 citations in OpenAlex.
- Meta-Analysis of Heat-Stressed Transcriptomes Using the Public Gene Expression Database from Human and Mouse Samples.International journal of molecular sciences · 2023Pooled it
- Meta-Analysis of Public RNA Sequencing Data Revealed Potential Key Genes Associated with Reproductive Division of Labor in Social Hymenoptera and Termites.International journal of molecular sciences · 2023Pooled it
- Exploratory meta-analysis of hypoxic transcriptomes using a precise transcript reference sequence set.Life science alliance · 2023Pooled it
- Functional annotation of novel heat stress-responsive genes in rice utilizing public transcriptomes and structurome.Bioinformatics advances · 2026Article
- Meta-Analysis of Wild Relatives and Domesticated Species of Rice, Tomato, and Soybean Using Publicly Available Transcriptome Data.Life (Basel, Switzerland) · 2025Article
- Localizatome: a database for stress-dependent subcellular localization changes in proteins.Database : the journal of biological databases and curation · 2025Article
- Recent Advances in Genome Editing and Bioinformatics: Addressing Challenges in Genome Editing Implementation and Genome Sequencing.International journal of molecular sciences · 2025Review
- Meta-analysis of public RNA-sequencing data of drought and salt stresses in different phenotypes of resistant and susceptibleQuantitative plant biology · 2025Article
- Transcriptional Signatures of Domestication Revealed through Meta-Analysis of Pig, Chicken, Wild Boar, and Red Junglefowl Gene Expression Data.Animals : an open access journal from MDPI · 2024Article
- Clover: An unbiased method for prioritizing differentially expressed genes using a data-driven approach.Genes to cells : devoted to molecular & cellular mechanisms · 2024Article
- Transcriptional Responses of Different Brain Cell Types to Oxygen Decline.Brain sciences · 2024Article
- Meta-analysis of public RNA sequencing data of abscisic acid-related abiotic stresses inFrontiers in plant science · 2024Article
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- Meta-Analysis of RNA Sequencing Data of Arabidopsis and Rice under Hypoxia.Life (Basel, Switzerland) · 2022Article
- Systems approaches to understand oxygen sensing: how multi-omics has driven advances in understanding oxygen-based signalling.The Biochemical journal · 2022Review
- Comprehensive Analysis and Reinforcement Learning of Hypoxic Genes Based on Four Machine Learning Algorithms for Estimating the Immune Landscape, Clinical Outcomes, and Therapeutic Implications in Patients With Lung Adenocarcinoma.Frontiers in immunology · 2022Article
- Comparison of Oxidative and Hypoxic Stress Responsive Genes from Meta-Analysis of Public Transcriptomes.Biomedicines · 2021Article
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Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Hypoxia is a condition in which cells, tissues, or organisms are deprived of sufficient oxygen supply. Aerobic organisms have a hypoxic response system, represented by hypoxia-inducible factor 1-α (HIF1A), to adapt to this condition. Due to publication bias, there has been little focus on genes other than well-known signature hypoxia-inducible genes. Therefore, in this study, we performed a meta-analysis to identify novel hypoxia-inducible genes. We searched publicly available transcriptome databases to obtain hypoxia-related experimental data, retrieved the metadata, and manually curated it. We selected the genes that are differentially expressed by hypoxic stimulation, and evaluated their relevance in hypoxia by performing enrichment analyses. Next, we performed a bibliometric analysis using gene2pubmed data to examine genes that have not been well studied in relation to hypoxia. Gene2pubmed data provides information about the relationship between genes and publications. We calculated and evaluated the number of reports and similarity coefficients of each gene to HIF1A, which is a representative gene in hypoxia studies. In this data-driven study, we report that several genes that were not known to be associated with hypoxia, including the G protein-coupled receptor 146 gene, are upregulated by hypoxic stimulation.
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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.