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https://hdl.handle.net/11499/47325
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Karagür, Ege Rıza | - |
dc.contributor.author | Akgün, Şakir | - |
dc.contributor.author | Akça, Hakan | - |
dc.date.accessioned | 2023-01-09T21:23:57Z | - |
dc.date.available | 2023-01-09T21:23:57Z | - |
dc.date.issued | 2022 | - |
dc.identifier.issn | 1064-3745 | - |
dc.identifier.uri | https://doi.org/10.1007/978-1-0716-1170-8_17 | - |
dc.identifier.uri | https://hdl.handle.net/11499/47325 | - |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Humana Press Inc. | en_US |
dc.relation.ispartof | Methods in Molecular Biology | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Biomarkers | en_US |
dc.subject | Cancer | en_US |
dc.subject | Circulating miRNAs | en_US |
dc.subject | Exosome | en_US |
dc.subject | microRNAs | en_US |
dc.subject | microRNA | en_US |
dc.subject | tumor marker | en_US |
dc.subject | long untranslated RNA | en_US |
dc.subject | messenger RNA | en_US |
dc.subject | microRNA | en_US |
dc.subject | bioinformatics | en_US |
dc.subject | breast cancer | en_US |
dc.subject | calculation | en_US |
dc.subject | cancer incidence | en_US |
dc.subject | cancer mortality | en_US |
dc.subject | cancer prognosis | en_US |
dc.subject | cancer recurrence | en_US |
dc.subject | cancer risk | en_US |
dc.subject | colorectal cancer | en_US |
dc.subject | endometrium cancer | en_US |
dc.subject | gene | en_US |
dc.subject | gene expression | en_US |
dc.subject | human | en_US |
dc.subject | lung cancer | en_US |
dc.subject | melanoma | en_US |
dc.subject | pancreas cancer | en_US |
dc.subject | prediction | en_US |
dc.subject | prostate cancer | en_US |
dc.subject | biology | en_US |
dc.subject | genetics | en_US |
dc.subject | neoplasm | en_US |
dc.subject | Computational Biology | en_US |
dc.subject | Humans | en_US |
dc.subject | MicroRNAs | en_US |
dc.subject | Neoplasms | en_US |
dc.subject | RNA, Long Noncoding | en_US |
dc.subject | RNA, Messenger | en_US |
dc.title | Computational and Bioinformatics Methods for MicroRNA Gene Prediction | en_US |
dc.type | Book Part | en_US |
dc.identifier.volume | 2257 | en_US |
dc.identifier.startpage | 349 | en_US |
dc.identifier.endpage | 373 | en_US |
dc.identifier.doi | 10.1007/978-1-0716-1170-8_17 | - |
dc.relation.publicationcategory | Kitap Bölümü - Uluslararası | en_US |
dc.authorscopusid | 55968558200 | - |
dc.authorscopusid | 57190684561 | - |
dc.authorscopusid | 6602146139 | - |
dc.identifier.pmid | 34432287 | en_US |
dc.identifier.scopus | 2-s2.0-85114089726 | en_US |
dc.identifier.scopusquality | Q3 | - |
item.cerifentitytype | Publications | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | No Fulltext | - |
item.openairetype | Book Part | - |
crisitem.author.dept | 14.03. Basic Medical Sciences | - |
crisitem.author.dept | 14.02. Internal Medicine | - |
Appears in Collections: | PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection Tıp Fakültesi Koleksiyonu |
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