Evidence map›Paper›PMID 26120002›Full record

ArticleChemistry & biology2015

DNA Electrochemistry Shows DNMT1 Methyltransferase Hyperactivity in Colorectal Tumors.

Ariel L Furst, Jacqueline K Barton

Open access · greenAbstract read
In one paragraph

Article in Chemistry & biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% of its field
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Sensing DNA through DNA Charge Transport.ACS chemical biology · 2018
    Review
  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Ariel L FurstDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
Jacqueline K BartonDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA. Electronic address: jkbarton@caltech.edu.
California Institute of Technology · US

Funding

ELECTROCHEMICAL DNA-BASED SENSORSR01GM061077 · NIGMS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI BARTON, JACQUELINE K · 2000 to 2017
$5.2M
NIGMS NIH HHS GM61077NIGMS NIH HHS R01 GM061077
6 · The paper itself

Abstract

DNMT1, the most abundant human methyltransferase, is responsible for translating the correct methylation pattern during DNA replication, and aberrant methylation by DNMT1 has been linked to tumorigenesis. We have developed a sensitive signal-on electrochemical assay for the measurement of DNMT1 activity in crude tissue lysates. We have further analyzed ten tumor sets and have found a direct correlation between DNMT1 hyperactivity and tumorous tissue. In the majority of samples analyzed, the tumorous tissue has significantly higher DNMT1 activity than the healthy adjacent tissue. No such correlation is observed in measurements of DNMT1 expression by qPCR, DNMT1 protein abundance by western blotting, or DNMT1 activity using a radiometric DNA labeling assay. DNMT1 hyperactivity can result from both protein overexpression and enzyme hyperactivity. DNMT1 activity measured electrochemically provides a direct measure of activity in cell lysates and, as a result, provides a sensitive and early indication of cancerous transformation.

Indexed as

Cell Line, TumorColorectal NeoplasmsDNA (Cytosine-5-)-Methyltransferase 1DNA (Cytosine-5-)-MethyltransferasesElectrochemistryHumansDNA (Cytosine-5-)-Methyltransferase 1DNA (Cytosine-5-)-MethyltransferasesDNMT1 protein, human

Identifiers

PMID26120002
PMCPMC4518711
OpenAlexW1573102830

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.