↓ Skip to main content

Non-coding RNAs in Complex Diseases

Overview of attention for book
Attention for Chapter 6: Profiling DNA Methylation Patterns of Non-coding RNAs (ncRNAs) in Human Disease
Altmetric Badge

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
11 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Profiling DNA Methylation Patterns of Non-coding RNAs (ncRNAs) in Human Disease
Chapter number 6
Book title
Non-coding RNAs in Complex Diseases
Published in
Advances in experimental medicine and biology, September 2018
DOI 10.1007/978-981-13-0719-5_6
Pubmed ID
Book ISBNs
978-9-81-130718-8, 978-9-81-130719-5
Authors

Hui Zhi, Yongsheng Li, Li Wang, Zhi, Hui, Li, Yongsheng, Wang, Li

Abstract

Although non-coding RNAs (ncRNAs) are commonly considered modulators in human disease, revealing the methylation pattern of ncRNA is still a challenging task. In this chapter, we (1) introduced a strategy of constructing DNA methylation profiles for ncRNAs by reannotating data of DNA methylation arrays; (2) identified methylation patterns of ncRNAs in cancers by classifying ncRNAs into two categories and three subcategories, according to their promoter methylation patterns in tumors; (3) identified lncRNAs with promoter methylation patterns that were associated with cancer status, subtype, or prognosis for several cancers by integrating cancer subtype data and patient clinical information; Furthermore, a panel of ncRNAs were identified as biomarkers that discriminated between disease phenotypes. The potential functions of aberrantly methylated ncRNAs were predicted, suggesting that ncRNAs and coding genes cooperatively mediate pathway dysregulation during the development and progression of breast cancer.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 18%
Student > Master 2 18%
Student > Bachelor 1 9%
Librarian 1 9%
Professor 1 9%
Other 0 0%
Unknown 4 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 18%
Nursing and Health Professions 1 9%
Agricultural and Biological Sciences 1 9%
Computer Science 1 9%
Medicine and Dentistry 1 9%
Other 1 9%
Unknown 4 36%