ReviewAutophagy2018
Exploring autophagy with Gene Ontology.
Review in Autophagy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 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
52 citing papers in PubMed.
- Exploring the mechanisms of baicalin in diabetic cardiomyopathy: Insights from network pharmacology and experimental validation.Biomedical reports · 2026Article
- DHX37 and tumor growth: a novel avenue for melanoma research.Journal of translational medicine · 2026Article
- Autophagy restricts symbiosis-associated cell death and regulates colonization by Serendipita indica in Arabidopsis.Plant physiology · 2025Article
- Integrating bioinformatics and metabolomics to identify potential biomarkers of hypertensive nephropathy.Scientific reports · 2025Article
- Cell-associated galectin 9 interacts with cytotoxic T cells confers resistance to tumor killing in nasopharyngeal carcinoma through autophagy activation.Cellular & molecular immunology · 2025Article
- Interpreting the Function of the IL-23/IL-17 Axis through Bioinformatics.Endocrine, metabolic & immune disorders drug targets · 2025Review
- ITRAQ and PRM-based quantitative saliva proteomics in gastric cancer: biomarker discovery.Frontiers in molecular biosciences · 2025Article
- Autophagy inhibitor-sensitized artificially activated neutrophils against hepatocellular carcinoma.Theranostics · 2025Article
- Multi-omics pan-cancer analysis reveals the diagnostic and prognostic value of C8orf76, with experimental validation of its impact on lung adenocarcinoma cell proliferation.Frontiers in genetics · 2025Article
- Transcriptome profiling of DPP stimulated DPSCs identifies the role of autophagy in odontogenic differentiation.Journal of structural biology · 2024Article
- Curcumin Equipped Nanozyme-Like Metal-Organic Framework Platform for the Targeted Atherosclerosis Treatment with Lipid Regulation and Enhanced Magnetic Resonance Imaging Capability.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
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- Interpreting Gene Ontology Annotations Derived from Sequence Homology Methods.Methods in molecular biology (Clifton, N.J.) · 2024Article
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- A novel natural killer-related signature to effectively predict prognosis in hepatocellular carcinoma.BMC medical genomics · 2023Article
- Bioinformatics identification and experimental validation of m6A-related diagnostic biomarkers in the subtype classification of blood monocytes from postmenopausal osteoporosis patients.Frontiers in endocrinology · 2023Article
- GeNetOntology: identifying affected gene ontology terms via grouping, scoring, and modeling of gene expression data utilizing biological knowledge-based machine learning.Frontiers in genetics · 2023Article
- Article
- The N6-Methyladenosine RegulatorInternational journal of molecular sciences · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Autophagy is a fundamental cellular process that is well conserved among eukaryotes. It is one of the strategies that cells use to catabolize substances in a controlled way. Autophagy is used for recycling cellular components, responding to cellular stresses and ridding cells of foreign material. Perturbations in autophagy have been implicated in a number of pathological conditions such as neurodegeneration, cardiac disease and cancer. The growing knowledge about autophagic mechanisms needs to be collected in a computable and shareable format to allow its use in data representation and interpretation. The Gene Ontology (GO) is a freely available resource that describes how and where gene products function in biological systems. It consists of 3 interrelated structured vocabularies that outline what gene products do at the biochemical level, where they act in a cell and the overall biological objectives to which their actions contribute. It also consists of 'annotations' that associate gene products with the terms. Here we describe how we represent autophagy in GO, how we create and define terms relevant to autophagy researchers and how we interrelate those terms to generate a coherent view of the process, therefore allowing an interoperable description of its biological aspects. We also describe how annotation of gene products with GO terms improves data analysis and interpretation, hence bringing a significant benefit to this field of study.
Indexed as
Identifiers
What Socratic 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 Socratic graph.