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DIGITAL.CSIC
Dataset . 2024 . Peer-reviewed
Data sources: DIGITAL.CSIC
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NNMT and HMT expression and relationship in cancer vs. normal samples [Dataset]

Authors: Pérez, Marcos Francisco; Sarkies, Peter;

NNMT and HMT expression and relationship in cancer vs. normal samples [Dataset]

Abstract

NNMT and HMT expression and relationship in cancer vs. normal samples.

Peer reviewed

Country
Spain
Related Organizations
Keywords

Universal methyl donor, Terminal tails, Healthy tissue samples, Adenosyl methionine, Human cells independently, Cancer cell lines, Primary tumour samples, Results suggest, Histone methylation, Enzyme previously characterised, Multiple histone marks, Chromatin genome, Detectable impact, div >< p, Alternative methyl sink, Histone methyltransferases, Frequently posttranslationally modified, Healthy tissues, Methyl sink, Associations affected, Human cells, Eukaryotic histones, Adomet, Less clear, Different associations, Enzymatic processes, Seq data, Inversely correlated, Tumour suppressor

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visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
23
12
Related to Research communities
Cancer Research