ArticleBMC genomics2014
Characterization of age signatures of DNA methylation in normal and cancer tissues from multiple studies.
Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 24 citations in OpenAlex.
- Global DNA methylation and telomere length as markers of accelerated aging in people living with HIV and non-alcoholic fatty liver disease.BMC genomics · 2023Article
- Ageing-associated changes in DNA methylation in X and Y chromosomes.Epigenetics & chromatin · 2021Article
- Article
- Article
- Epigenetic alterations in longevity regulators, reduced life span, and exacerbated aging-related pathology in old father offspring mice.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- DNA methylation in ELOVL2 and C1orf132 correctly predicted chronological age of individuals from three disease groups.International journal of legal medicine · 2018Article
- Caloric restriction delays age-related methylation drift.Nature communications · 2017Article
- Stem cell dynamics and pretumor progression in the intestinal tract.Journal of gastroenterology · 2016Review
- Epigenetics of Aging.Current genomics · 2015Article
- Paradoxical changes in innate immunity in aging: recent progress and new directions.Journal of leukocyte biology · 2015Review
- Epigenetic Aging Signatures Are Coherently Modified in Cancer.PLoS genetics · 2015Article
- Environmental Impact on DNA Methylation in the Germline: State of the Art and Gaps of Knowledge.BioMed research international · 2015Review
- Detailed analysis of adenosine A2a receptor (OncoimmunologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDNA methylation (DNAm) levels can be used to predict the chronological age of tissues; however, the characteristics of DNAm age signatures in normal and cancer tissues are not well studied using multiple studies.
resultsWe studied approximately 4000 normal and cancer samples with multiple tissue types from diverse studies, and using linear and nonlinear regression models identified reliable tissue type-invariant DNAm age signatures. A normal signature comprising 127 CpG loci was highly enriched on the X chromosome. Age-hypermethylated loci were enriched for guanine-and-cytosine-rich regions in CpG islands (CGIs), whereas age-hypomethylated loci were enriched for adenine-and-thymine-rich regions in non-CGIs. However, the cancer signature comprised only 26 age-hypomethylated loci, none on the X chromosome, and with no overlap with the normal signature. Genes related to the normal signature were enriched for aging-related gene ontology terms including metabolic processes, immune system processes, and cell proliferation. The related gene products of the normal signature had more than the average number of interacting partners in a protein interaction network and had a tendency not to interact directly with each other. The genomic sequences of the normal signature were well conserved and the age-associated DNAm levels could satisfactorily predict the chronological ages of tissues regardless of tissue type. Interestingly, the age-associated DNAm increases or decreases of the normal signature were aberrantly accelerated in cancer samples.
conclusionThese tissue type-invariant DNAm age signatures in normal and cancer can be used to address important questions in developmental biology and cancer research.
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.