ArticleMethods in molecular biology (Clifton, N.J.)2013
DNA methylation analysis in human cancer.
Article in Methods in molecular biology (Clifton, N.J.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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
6 citing papers in PubMed, 13 citations in OpenAlex.
- Methods in DNA methylation array dataset analysis: A review.Computational and structural biotechnology journal · 2024Review
- Epigenetic Regulation of Mitochondrial Quality Control Genes in Multiple Myeloma: A Sequenom MassARRAY Pilot Investigation on HMCLs.Journal of clinical medicine · 2021Article
- Quantitative Epigenetics: A New Avenue for Crop Improvement.Epigenomes · 2020Review
- Aberrant KLK4 gene promoter hypomethylation in pediatric hepatoblastomas.Oncology letters · 2017Article
- Overexpression of ankyrin1 promotes pancreatic cancer cell growth.Oncotarget · 2016Article
- Histone modifications: Targeting head and neck cancer stem cells.World journal of stem cells · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
The functional impact of aberrant DNA methylation and the widespread alterations in DNA methylation in cancer development have led to the development of a variety of methods to characterize the DNA methylation patterns. This chapter critiques and describes the major approaches to analyzing DNA methylation.
Indexed as
Identifiers
What OpenQuestion holds
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.