ArticleScientific data2016
Genome-scale DNA methylome and transcriptome profiling of human neutrophils.
Article in Scientific data, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.
- Application of deep learning in cancer epigenetics through DNA methylation analysis.Briefings in bioinformatics · 2023Pooled it
- Trial
- Differences between human male and female neutrophils in mRNA, translation efficiency, protein, and phosphoprotein profiles.Research square · 2024Article
- Targeting the ADPKD methylome using nanoparticle-mediated combination therapy.APL bioengineering · 2023Article
- Dynamic Epigenetic Changes during a Relapse and Recovery Cycle in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome.International journal of molecular sciences · 2022Article
- The Mouse Papillomavirus Epigenetic Signature Is Characterised by DNA Hypermethylation after Lesion Regression.Viruses · 2021Article
- Comparison of Global DNA Methylation Patterns in Human Melanoma Tissues and Their Derivative Cell Lines.Cancers · 2021Article
- Genome-wide methylation sequencing identifies progression-related epigenetic drivers in myelodysplastic syndromes.Cell death & disease · 2020Article
- Changes in DNA methylation profiles of myalgic encephalomyelitis/chronic fatigue syndrome patients reflect systemic dysfunctions.Clinical epigenetics · 2020Article
- A streamlined method for analysing genome-wide DNA methylation patterns from low amounts of FFPE DNA.BMC medical genomics · 2017Article
- Expression and regulation of drug transporters in vertebrate neutrophils.Scientific reports · 2017Article
- Article
- The epigenomic basis of common diseases.Clinical epigenetics · 2017Article
- Placental Hypomethylation Is More Pronounced in Genomic Loci Devoid of Retroelements.G3 (Bethesda, Md.) · 2016Article
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 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Methylation of DNA molecules is a key mechanism associated with human disease, altered gene expression and phenotype. Using reduced representation bisulphite sequencing (RRBS) technology we have analysed DNA methylation patterns in healthy individuals and identified genes showing significant inter-individual variation. Further, using whole genome transcriptome analysis (RNA-Seq) on the same individuals we showed a local and specific relationship of exon inclusion and variable DNA methylation pattern. For RRBS, 363 million, 100-bp reads were generated from 13 samples using Illumina GAII and HiSeq2000 platforms. Here we also present additional RRBS data for a female pair of monozygotic twins that was not described in our original publication. Further, We performed RNA-Seq on four of these individuals, generating 174 million, 51-bp high quality reads on an Illumina HiSeq2000 platform. The current data set could be exploited as a comprehensive resource for understanding the nature and mechanism of variable phenotypic traits and altered disease susceptibility due to variable DNA methylation and gene expression patterns in healthy individuals.
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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.