DNA methylation was the first epigenetic modification to be detected in human cancers with specific relation to aberrant gene expression. Herein, DNA methylation analysis explains how epigenetic patterns affect gene expression level. Hypermethylation at tumor suppressor gene loci leads to increased tumorigenesis due to tumor suppressor gene silencing, whereas global hypomethylation of CpG islands (CGIs) is followed by genomic instability and aberrant activation of multiple oncogenes. Therefore, characterization of the genes which silenced or activated epigenetically in human tumor cells can improve our understanding of cancer biology. Different genome-wide methodologies are applied to evaluate methylation status. Various commonly conducted techniques for this evaluation are reviewed in this paper. We provided comparative description of the procedures, advantages, and drawbacks of genome-wide DNA methylation analysis methods and biological applications, to give information on selecting the appropriate method for different methylation studies.

Download full-text PDF

Source
http://dx.doi.org/10.1002/jcp.26176DOI Listing

Publication Analysis

Top Keywords

dna methylation
16
methylation analysis
12
gene expression
8
tumor suppressor
8
suppressor gene
8
methylation
6
comparison genome-wide
4
analysis
4
genome-wide analysis
4
analysis techniques
4

Similar Publications

Unlabelled: Cladribine indirectly downregulates methylation of DNA, RNA, and histones by blocking the transfer of methyl groups from -adenosyl-methionine. The cladribine and rituximab combination showed a synergetic effect in treating B-cell lymphomas. Bortezomib (Velcade) is a Food and Drug Administration (FDA)-approved proteasome inhibitor for treating mantle cell lymphoma (MCL).

View Article and Find Full Text PDF

Heterodisomy in the locus is also a cause of pseudohypoparathyroidism type 1B (iPPSD3).

Front Endocrinol (Lausanne)

December 2024

Rare Disease Research Group, Molecular (Epi) Genetics Laboratory, Bioaraba Health Research Institute, Araba University Hospital, Vitoria-Gasteiz, Spain.

Objective: To identify the genetic cause underlying the methylation defect in a patient with clinical suspicion of PHP1B/iPPSD3.

Design: Imprinting is an epigenetic mechanism that allows the regulation of gene expression. The locus is one of the loci within the genome that is imprinted.

View Article and Find Full Text PDF

Silencing of STEAP3 suppresses cervical cancer cell proliferation and migration via JAK/STAT3 signaling pathway.

Cancer Metab

December 2024

Department of Obstetrics and Gynecology, First Affiliated Hospital, Shihezi University, Shihezi, China.

Article Synopsis
  • STEAP3 is a critical protein associated with cervical cancer (CC) progression, showing strong expression in CC tissues and linked to poor patient prognosis.
  • The study employed various methods, such as immunohistochemistry and RNA sequencing, to investigate STEAP3's role, revealing that lower methylation levels of STEAP3 are connected to worse outcomes.
  • Knockdown of STEAP3 in CC cells reduced their growth and invasion abilities while enhancing drug sensitivity, suggesting STEAP3 drives cancer cell activity through the activation of the JAK/STAT3 signaling pathway.
View Article and Find Full Text PDF

N6-methyladenosine regulates metabolic remodeling in kidney aging through transcriptional regulator GLIS1.

BMC Biol

December 2024

Department of Orthodontics, School and Hospital of Stomatology, Liaoning Provincial Key Laboratory of Oral Diseases, China Medical University, Shenyang, 110001, China.

Background: Age-related kidney impairment, characterized by tubular epithelial cell senescence and renal fibrosis, poses a significant global public health threat. Although N6-methyladenosine (m6A) methylation is implicated in various pathological processes, its regulatory mechanism in kidney aging remains unclear.

Methods: An m6A-mRNA epitranscriptomic microarray was performed to identify genes with abnormal m6A modifications in aged human kidney tissues.

View Article and Find Full Text PDF

Single-cell DNA methylation measurements reveal genome-scale inter-cellular epigenetic heterogeneity, but extreme sparsity and noise challenges rigorous analysis. Previous methods to detect variably methylated regions (VMRs) have relied on predefined regions or sliding windows and report regions insensitive to heterogeneity level present in input. We present vmrseq, a statistical method that overcomes these challenges to detect VMRs with increased accuracy in synthetic benchmarks and improved feature selection in case studies.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!