ReviewNucleic acids research1998
Identifying 5-methylcytosine and related modifications in DNA genomes.
Review in Nucleic acids research, 1998. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
What it found
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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
32 citing papers in PubMed, 112 citations in OpenAlex.
- Impact of antigen retrieval protocols on the immunohistochemical detection of epigenetic DNA modifications.Histochemistry and cell biology · 2023Article
- Article
- Review
- Evaluation of DNA Methylation Changes by CRED-RA Analysis Following Prednisone Treatment of Endophyte,Indian journal of microbiology · 2020Article
- A Novel Application of Mixed Effects Models for Reconciling Base-Pair Resolution 5-Methylcytosine and 5-Hydroxymethylcytosine Data in Neuroepigenetics.Frontiers in genetics · 2019Article
- The homology gene BtDnmt1 is Essential for Temperature Tolerance in Invasive Bemisia tabaci Mediterranean Cryptic Species.Scientific reports · 2017Article
- New Method to Study the Vibrational Modes of Biomolecules in the Terahertz Range Based on a Single-Stage Raman Spectrometer.ACS omega · 2017Article
- LuxGLM: a probabilistic covariate model for quantification of DNA methylation modifications with complex experimental designs.Bioinformatics (Oxford, England) · 2016Article
- Determination of DNA methylation associated with Acer rubrum (red maple) adaptation to metals: analysis of global DNA modifications and methylation-sensitive amplified polymorphism.Ecology and evolution · 2016Article
- A probabilistic generative model for quantification of DNA modifications enables analysis of demethylation pathways.Genome biology · 2016Article
- DNA Methylation in Basal Metazoans: Insights from Ctenophores.Integrative and comparative biology · 2015Review
- The role of chromatin modifications in somatic embryogenesis in plants.Frontiers in plant science · 2015Review
- Mammalian Non-CpG Methylation: Stem Cells and Beyond.Biology · 2014Review
- TETonic shift: biological roles of TET proteins in DNA demethylation and transcription.Nature reviews. Molecular cell biology · 2013Review
- Comprehensive profiling of zebrafish hepatic proximal promoter CpG island methylation and its modification during chemical carcinogenesis.BMC genomics · 2011Article
- DNA sequencing: detecting methylation with force.Nature nanotechnology · 2010Article
- Nanomechanical recognition measurements of individual DNA molecules reveal epigenetic methylation patterns.Nature nanotechnology · 2010Article
- DNA methylation as a universal biomarker.Expert review of molecular diagnostics · 2010Review
- Article
- The genome of the stick insect Medauroidea extradentata is strongly methylated within genes and repetitive DNA.PloS one · 2009Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Intense interest in the biological roles of DNA methylation, particularly in eukaryotes, has produced at least eight different methods for identifying 5-methylcytosine and related modifications in DNA genomes. However, the utility of each method depends not only on its simplicity but on its specificity, resolution, sensitivity and potential artifacts. Since these parameters affect the interpretation of data, they should be considered in any application. Therefore, we have outlined the principles and applications of each method, quantitatively evaluated their specificity,resolution and sensitivity, identified potential artifacts and suggested solutions, and discussed a paradox in the distribution of m5C in mammalian genomes that illustrates how methodological limitations can affect interpretation of data. Hopefully, the information and analysis provided here will guide new investigators entering this exciting field.
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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.