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DNA-methylation-based telomere length estimator: comparisons with measurements from flow FISH and qPCR

Aging(2021)10.18632/aging.203126Source: DataRank Database

DNA-methylation-based telomere length estimator: comparisons with measurements from flow FISH and qPCR is a research paper published in Aging (2021). On theSindex it has a DataRank of 0. It has been cited 36 times.

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Open Access36 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (2 grants)Impact (FWCI 3.31)OA: hybridTopics (35)Linked Datasets (10)DataCite Reuse (10)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

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Reusable (0/3)

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Authors (11)

Steve Horvath ORCID,Shilpa Katta,Casey Dagnall ORCID,Geraldine Aubert,Belynda Hicks ORCID

Live enrichment

PubMed:34083495 PMC:PMC8221337 OpenAlex:https://openalex.org/W3164787544

NIA NIH HHS

Grant: U01 AG060908

NCI NIH HHS

Grant: U24 CA076518

FWCI

3.31

Citation Percentile

0.9%

Citation Trend

2022

2023

2024

2025

2026

hybridLicense: cc-by

journalhttps://www.aging-us.com/article/203126/pdf

publisherhttps://www.aging-us.com/article/203126/pdf

publisherhttps://www.aging-us.com/lookup/doi/10.18632/aging.203126

journalhttps://doi.org/10.18632/aging.203126

repositoryhttps://pubmed.ncbi.nlm.nih.gov/34083495

Fields of Study

Telomeres, Telomerase, and SenescenceCytomegalovirus and herpesvirus researchSingle-cell and spatial transcriptomics

MeSH Terms

AdultFemaleHumansMaleMiddle AgedReproducibility of ResultsIn Situ Hybridization, FluorescenceDNA MethylationYoung AdultTelomere HomeostasisReal-Time Polymerase Chain Reaction

Keywords

TelomereDNA methylationBiologyPearson product-moment correlation coefficientFish <Actinopterygii>Correlation coefficientMethylationReal-time polymerase chain reactionInternal medicineStatisticsGeneticsMedicineDNAMathematicsGene expressionGeneTelomere LengthAgreementQpcrFlow FishDnamtl

Sustainable Development Goals

SDG 0: Good health and well-being

Additional file 1 of A comparison of feature selection methodologies and learning algorithms in the development of a DNA methylation-based telomere length estimator

10.6084/m9.figshare.22729213.v1figshare

Additional file 1 of A comparison of feature selection methodologies and learning algorithms in the development of a DNA methylation-based telomere length estimator

10.6084/m9.figshare.22729213figshare

Additional file 4 of Unveiling the epigenetic impact of vegan vs. omnivorous diets on aging: insights from the Twins Nutrition Study (TwiNS)

10.6084/m9.figshare.26751365.v1figshare

Additional file 4 of Unveiling the epigenetic impact of vegan vs. omnivorous diets on aging: insights from the Twins Nutrition Study (TwiNS)

10.6084/m9.figshare.26751365figshare

Additional file 1 of Unveiling the epigenetic impact of vegan vs. omnivorous diets on aging: insights from the Twins Nutrition Study (TwiNS)

10.6084/m9.figshare.26391680.v1figshare

Additional file 3 of Unveiling the epigenetic impact of vegan vs. omnivorous diets on aging: insights from the Twins Nutrition Study (TwiNS)

10.6084/m9.figshare.26751362figshare

Additional file 1 of Unveiling the epigenetic impact of vegan vs. omnivorous diets on aging: insights from the Twins Nutrition Study (TwiNS)

10.6084/m9.figshare.26391680figshare

Additional file 2 of Unveiling the epigenetic impact of vegan vs. omnivorous diets on aging: insights from the Twins Nutrition Study (TwiNS)

10.6084/m9.figshare.26391705figshare

Additional file 2 of Unveiling the epigenetic impact of vegan vs. omnivorous diets on aging: insights from the Twins Nutrition Study (TwiNS)

10.6084/m9.figshare.26391705.v1figshare

Additional file 3 of Unveiling the epigenetic impact of vegan vs. omnivorous diets on aging: insights from the Twins Nutrition Study (TwiNS)

10.6084/m9.figshare.26751362.v1figshare

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