Literature DB >> 35643221

Long non-coding RNA and RNA-binding protein interactions in cancer: Experimental and machine learning approaches.

Hibah Shaath1, Radhakrishnan Vishnubalaji1, Ramesh Elango1, Ahmed Kardousha2, Zeyaul Islam3, Rizwan Qureshi4, Tanvir Alam4, Prasanna R Kolatkar5, Nehad M Alajez6.   

Abstract

Understanding the complex and specific roles played by non-coding RNAs (ncRNAs), which comprise the bulk of the genome, is important for understanding virtually every hallmark of cancer. This large group of molecules plays pivotal roles in key regulatory mechanisms in various cellular processes. Regulatory mechanisms, mediated by long non-coding RNA (lncRNA) and RNA-binding protein (RBP) interactions, are well documented in several types of cancer. Their effects are enabled through networks affecting lncRNA and RBP stability, RNA metabolism including N6-methyladenosine (m6A) and alternative splicing, subcellular localization, and numerous other mechanisms involved in cancer. In this review, we discuss the reciprocal interplay between lncRNAs and RBPs and their involvement in epigenetic regulation via histone modifications, as well as their key role in resistance to cancer therapy. Other aspects of RBPs including their structural domains, provide a deeper knowledge on how lncRNAs and RBPs interact and exert their biological functions. In addition, current state-of-the-art knowledge, facilitated by machine and deep learning approaches, unravels such interactions in better details to further enhance our understanding of the field, and the potential to harness RNA-based therapeutics as an alternative treatment modality for cancer are discussed.
Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Cancer; Deep learning; LncRNA, RNA-binding protein; Long non-coding RNA; Machine learning; Mechanisms of action; RBP, lncRNA-protein interaction (LPI); Structural and functional domains

Year:  2022        PMID: 35643221     DOI: 10.1016/j.semcancer.2022.05.013

Source DB:  PubMed          Journal:  Semin Cancer Biol        ISSN: 1044-579X            Impact factor:   17.012


  4 in total

1.  MOBT Alleviates Pulmonary Fibrosis through an lncITPF-hnRNP-l-Complex-Mediated Signaling Pathway.

Authors:  Pan Xu; Haitong Zhang; Huangting Li; Bo Liu; Rongrong Li; Jinjin Zhang; Xiaodong Song; Changjun Lv; Hongbo Li; Mingwei Chen
Journal:  Molecules       Date:  2022-08-22       Impact factor: 4.927

2.  LINC00941 promotes pancreatic cancer malignancy by interacting with ANXA2 and suppressing NEDD4L-mediated degradation of ANXA2.

Authors:  Jie Wang; Zhiwei He; Xinyuan Liu; Jian Xu; Xueyi Jiang; Gang Quan; Jianxin Jiang
Journal:  Cell Death Dis       Date:  2022-08-18       Impact factor: 9.685

3.  Editorial: Long-non coding RNAs in renal cell carcinoma.

Authors:  Zongping Wang; Song Wang; An Zhao
Journal:  Front Oncol       Date:  2022-08-16       Impact factor: 5.738

Review 4.  Circulating Non-Coding RNAs as Potential Diagnostic Biomarkers in Hepatocellular Carcinoma.

Authors:  Tingsong Chen
Journal:  J Hepatocell Carcinoma       Date:  2022-09-15
  4 in total

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