Evidence map›Paper›PMID 39068369›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Protocol for Analyzing Epigenetic Regulation Mechanisms in Breast Cancer.

Sri Lakshmi Bhavani Pagolu, Nita Parekh

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Sri Lakshmi Bhavani PagoluCentre for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology, Hyderabad, Telangana, India.
Nita ParekhCentre for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology, Hyderabad, Telangana, India. nita@iiit.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA methylation and gene expression are two critical aspects of the epigenetic landscape that contribute significantly to cancer pathogenesis. Analysis of aberrant genome-wide methylation patterns can provide insights into how these affect the cancer transcriptome and possible clinical implications for cancer diagnosis and treatment. The role of tumor suppressors and oncogenes is well known in tumorigenesis. Epigenetic alterations can significantly impact the expression and function of these critical genes, contributing to the initiation and progression of cancer. This protocol chapter presents a unified workflow to explore the role of DNA methylation in gene expression regulation in breast cancer by identifying differentially expressed genes whose promoter or gene body regions are differentially methylated using various Bioconductor packages in R environment. Functional enrichment analysis of these genes can help in understanding the mechanisms leading to tumorigenesis due to epigenetic alterations.

Indexed as

Breast NeoplasmsDNA MethylationEpigenesis, GeneticGene Expression Regulation, NeoplasticComputational BiologyEpigenomicsFemaleGene Expression ProfilingHumansPromoter Regions, GeneticSoftwareTranscriptomeBreast cancerCorrelationDESeq2DNA methylationEpigeneticsGene expressionPromoterRnBeads

Identifiers

What OpenQuestion holds

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Registered trials

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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.