Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/47325
Title: Computational and Bioinformatics Methods for MicroRNA Gene Prediction
Authors: Karagür, Ege Rıza
Akgün, Şakir
Akça, Hakan
Keywords: Biomarkers
Cancer
Circulating miRNAs
Exosome
microRNAs
microRNA
tumor marker
long untranslated RNA
messenger RNA
microRNA
bioinformatics
breast cancer
calculation
cancer incidence
cancer mortality
cancer prognosis
cancer recurrence
cancer risk
colorectal cancer
endometrium cancer
gene
gene expression
human
lung cancer
melanoma
pancreas cancer
prediction
prostate cancer
biology
genetics
neoplasm
Computational Biology
Humans
MicroRNAs
Neoplasms
RNA, Long Noncoding
RNA, Messenger
Publisher: Humana Press Inc.
Abstract: MicroRNAs (miRNAs) are 20–24-nucleotide-long noncoding RNAs that bind to the untranslated region (3? UTR) of their target mRNAs. The importance of miRNAs in medicine has grown rapidly in the 20 years since the discovery of them. As the regulatory function of miRNAs on biological processes was discovered, they were advocated to play a role in the underlying mechanisms of human pathogenesis. Functional studies have confirmed that miRNAs are promising in preclinical development through deregulation of genes targeted by miRNAs in many cancer cases. In this chapter, we summarize the miRNAs identified for some specific types of cancer and their functions. Besides, miRNAs function as cancer biomarker and their benefits to diagnosis and treatment of cancer are also discussed. © 2022, Springer Science+Business Media, LLC, part of Springer Nature.
URI: https://doi.org/10.1007/978-1-0716-1170-8_17
https://hdl.handle.net/11499/47325
ISSN: 1064-3745
Appears in Collections:PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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