ArticleScientific reports2013
An integrative network algorithm identifies age-associated differential methylation interactome hotspots targeting stem-cell differentiation pathways.
Article in Scientific reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 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
57 citing papers in PubMed, 91 citations in OpenAlex.
- Non-ablative fractional laser 1940-nm treatment modulates epigenetic signatures associated with skin aging in a split-face investigation.Scientific reports · 2026Article
- Methylation entropy landscape of Chinese long-lived individuals reveals lower epigenetic noise related to human healthy aging.Aging cell · 2024Article
- Quantifying the stochastic component of epigenetic aging.Nature aging · 2024Article
- A higher dysregulation burden of brain DNA methylation in female patients implicated in the sex bias of Schizophrenia.Molecular psychiatry · 2023Article
- A Higher Dysregulation Burden of Brain DNA Methylation in Female Patients Implicated in the Sex Bias of Schizophrenia.Research square · 2023Article
- Article
- Inference of epigenetic subnetworks by Bayesian regression with the incorporation of prior information.Scientific reports · 2022Article
- Novel epigenetic network biomarkers for early detection of esophageal cancer.Clinical epigenetics · 2022Article
- Epigenetic Clocks for Mice Based on Age-Associated Regions That are Conserved Between Mouse Strains and Human.Frontiers in cell and developmental biology · 2022Article
- Clinical epigenetics settings for cancer and cardiovascular diseases: real-life applications of network medicine at the bedside.Clinical epigenetics · 2021Review
- Sex-differential DNA methylation and associated regulation networks in human brain implicated in the sex-biased risks of psychiatric disorders.Molecular psychiatry · 2021Article
- Systematic Elucidation of the Aneuploidy Landscape and Identification of Aneuploidy Driver Genes in Prostate Cancer.Frontiers in cell and developmental biology · 2021Article
- Inferring Functional Epigenetic Modules by Integrative Analysis of Multiple Heterogeneous Networks.Frontiers in genetics · 2021Article
- Differential Co-Expression Analyses Allow the Identification of Critical Signalling Pathways Altered during Tumour Transformation and Progression.International journal of molecular sciences · 2020Review
- Race-specific alterations in DNA methylation among middle-aged African Americans and Whites with metabolic syndrome.Epigenetics · 2020Article
- Network Medicine in Pathobiology.The American journal of pathology · 2019Review
- Cell and tissue type independent age-associated DNA methylation changes are not rare but common.Aging · 2018Article
- Bioinformatics challenges and perspectives when studying the effect of epigenetic modifications on alternative splicing.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018Review
- Statistical and integrative system-level analysis of DNA methylation data.Nature reviews. Genetics · 2018Review
- A network-based meta-analysis for characterizing the genetic landscape of human aging.Biogerontology · 2018Article
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 at 4 institutions in 2 countries.
Funding
Abstract
Epigenetic changes have been associated with ageing and cancer. Identifying and interpreting epigenetic changes associated with such phenotypes may benefit from integration with protein interactome models. We here develop and validate a novel integrative epigenome-interactome approach to identify differential methylation interactome hotspots associated with a phenotype of interest. We apply the algorithm to cancer and ageing, demonstrating the existence of hotspots associated with these phenotypes. Importantly, we discover tissue independent age-associated hotspots targeting stem-cell differentiation pathways, which we validate in independent DNA methylation data sets, encompassing over 1000 samples from different tissue types. We further show that these pathways would not have been discovered had we used a non-network based approach and that the use of the protein interaction network improves the overall robustness of the inference procedure. The proposed algorithm will be useful to any study seeking to identify interactome hotspots associated with common phenotypes.
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.