Evidence map›Paper›PMID 29327208›Full record

ReviewGeroScience2018

Analysis of DNA modifications in aging research.

Dustin R Masser, Niran Hadad, Hunter Porter, Michael B Stout, Archana Unnikrishnan, David R Stanford, Willard M Freeman

Abstract readReview
In one paragraph

Review in GeroScience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. DifferentialOncology reports · 2021
    Observational
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Dustin R MasserReynolds Oklahoma Center on Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Niran HadadReynolds Oklahoma Center on Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Hunter PorterReynolds Oklahoma Center on Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Michael B StoutReynolds Oklahoma Center on Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Archana UnnikrishnanReynolds Oklahoma Center on Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
David R StanfordReynolds Oklahoma Center on Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Willard M FreemanReynolds Oklahoma Center on Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA. wfreeman@ouhsc.edu.ORCID 0000-0001-7027-999X

Funding

Targeted DNA Methylation and Mitochondrial Heteroplasmy CoreP30AG050911 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Veronica Galvan, Benjamin Francis Miller · 2015 to 2026
$13.9M
GEROSCIENCE TRAINING PROGRAM IN OKLAHOMAT32AG052363 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Benjamin Francis Miller, William Edmund Sonntag · 2017 to 2026
$3.6M
INSULIN-THERAPY RESISTANT EPIGENETIC MODIFICATIONS IN DIABETIC RETINOPATHYR01EY021716 · NEI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI FREEMAN, WILLARD M · 2011 to 2014
$1.3M
Vision Science Training ProgramT32EY023202 · NEI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI CALLEGAN, MICHELLE C · 2014 to 2025
$952k
Defective mitochondrial function & genomic maintenance with diabetic retinopathyR21EY024520 · NEI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI FREEMAN, WILLARD M · 2015 to 2016
$407k
Gene Promoter DNA Methylation with Cocaine Self-Administration and AbstinenceR21DA029405 · NIDA · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI FREEMAN, WILLARD M · 2010 to 2011
$387k
Mechanisms of metabolic, inflammatory and healthspan enhancement by 17a-estradiolK99AG051661 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI STOUT, MICHAEL B · 2016 to 2017
$278k
NEI NIH HHS R01 EY021716NEI NIH HHS R01EY021716NEI NIH HHS R21 EY024520NEI NIH HHS R21EY024520NEI NIH HHS T32 EY023202NEI NIH HHS T32EY023202NIA NIH HHS K99 AG051661NIA NIH HHS K99AG051661NIA NIH HHS P30 AG050911NIA NIH HHS P30AG050911NIA NIH HHS T32 AG052363NIA NIH HHS T32AG052363NIDA NIH HHS R21 DA029405Oklahoma Center for the Advancement of Science and Technology HR14-174
6 · The paper itself

Abstract

As geroscience research extends into the role of epigenetics in aging and age-related disease, researchers are being confronted with unfamiliar molecular techniques and data analysis methods that can be difficult to integrate into their work. In this review, we focus on the analysis of DNA modifications, namely cytosine methylation and hydroxymethylation, through next-generation sequencing methods. While older techniques for modification analysis performed relative quantitation across regions of the genome or examined average genome levels, these analyses lack the desired specificity, rigor, and genomic coverage to firmly establish the nature of genomic methylation patterns and their response to aging. With recent methodological advances, such as whole genome bisulfite sequencing (WGBS), bisulfite oligonucleotide capture sequencing (BOCS), and bisulfite amplicon sequencing (BSAS), cytosine modifications can now be readily analyzed with base-specific, absolute quantitation at both cytosine-guanine dinucleotide (CG) and non-CG sites throughout the genome or within specific regions of interest by next-generation sequencing. Additional advances, such as oxidative bisulfite conversion to differentiate methylation from hydroxymethylation and analysis of limited input/single-cells, have great promise for continuing to expand epigenomic capabilities. This review provides a background on DNA modifications, the current state-of-the-art for sequencing methods, bioinformatics tools for converting these large data sets into biological insights, and perspectives on future directions for the field.

Indexed as

AgingAnimalsDNA MethylationEpigenesis, GeneticEpigenomicsFemaleHigh-Throughput Nucleotide SequencingHumansMaleSensitivity and SpecificitySequence Analysis, DNADNA methylationEpigeneticsMethods

Identifiers

PMID29327208
PMCPMC5832665

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.