Literature DB >> 28443890

The characteristic landscape of lncRNAs classified by RBP-lncRNA interactions across 10 cancers.

Qiang Zhang1, Yunzhen Wei1, Zichuang Yan1, Cheng Wu1, Zhiqiang Chang1, Yinling Zhu1, Kun Li1, Yan Xu1.   

Abstract

RNA-binding proteins (RBPs) are key regulators of gene expression. Some long non-coding RNAs (lncRNAs) affect gene expression by interacting with RBPs. However, whether this influences the biological characteristics of lncRNAs in diseases still remains unknown. Here, we classify lncRNAs into two categories, using the interaction information between lncRNAs and RBPs: the lncRNAs that interact with RBPs (Rlncs) and the lncRNAs that do not interact with RBPs (NRlncs). Then we systematically analyze the basic attributes and functions of the two categories of lncRNAs across 10 cancers. By comparing the two categories, we find that the attributes of Rlncs are significantly higher than those of NRlncs in different aspects such as expression level, protein-coding potential, and evolutionary conservation. Furthermore, functional enrichment analysis reveals that the two categories of lncRNAs are involved in different functions and biological pathways. Finally, the prognostic analysis results suggest that the two categories of lncRNAs affect the overall survival of patients through participating in different functions. Our systematic characterization of Rlncs and NRlncs provides a new perspective for understanding the role of lncRNAs, and improves knowledge of cancer biology.

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Year:  2017        PMID: 28443890     DOI: 10.1039/c7mb00144d

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  12 in total

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3.  A comparative analysis of machine learning classifiers for predicting protein-binding nucleotides in RNA sequences.

Authors:  Ankita Agarwal; Kunal Singh; Shri Kant; Ranjit Prasad Bahadur
Journal:  Comput Struct Biotechnol J       Date:  2022-06-17       Impact factor: 6.155

4.  Genome-wide analyses of long non-coding RNA expression profiles and functional network analysis in esophageal squamous cell carcinoma.

Authors:  Junliang Ma; Yuhang Xiao; Bo Tian; Shaolin Chen; Baihua Zhang; Jie Wu; Zhining Wu; Xu Li; Jinming Tang; Desong Yang; Yong Zhou; Hui Wang; Min Su; Wenxiang Wang
Journal:  Sci Rep       Date:  2019-06-24       Impact factor: 4.379

5.  LncRNA PCAT1 Interacts with DKC1 to Regulate Proliferation, Invasion and Apoptosis in NSCLC Cells via the VEGF/AKT/Bcl2/Caspase9 Pathway.

Authors:  Shi-Yuan Liu; Zhi-Yu Zhao; Zhe Qiao; Shao-Min Li; Wei-Ning Zhang
Journal:  Cell Transplant       Date:  2021 Jan-Dec       Impact factor: 4.064

6.  Identification of long non-coding RNAs and RNA binding proteins in breast cancer subtypes.

Authors:  Claudia Cava; Alexandros Armaos; Benjamin Lang; Gian G Tartaglia; Isabella Castiglioni
Journal:  Sci Rep       Date:  2022-01-13       Impact factor: 4.379

7.  Therapeutic inhibition of GAS6-AS1/YBX1/MYC axis suppresses cell propagation and disease progression of acute myeloid leukemia.

Authors:  Hao Zhou; Wei Liu; Yongming Zhou; Zhenya Hong; Jian Ni; Xiaoping Zhang; Ziping Li; Mengyuan Li; Wenjuan He; Donghua Zhang; Xuexing Chen; Jianhua Zhu
Journal:  J Exp Clin Cancer Res       Date:  2021-11-09

8.  LncRNA SNHG12 in extracellular vesicles derived from carcinoma-associated fibroblasts promotes cisplatin resistance in non-small cell lung cancer cells.

Authors:  Deli Tan; Gang Li; Peng Zhang; Chao Peng; Bo He
Journal:  Bioengineered       Date:  2022-01       Impact factor: 3.269

9.  Long non-coding RNA n326322 promotes the proliferation and invasion in nasopharyngeal carcinoma.

Authors:  Mingyu Du; Teng Huang; Jing Wu; Jia-Jia Gu; Nan Zhang; Kai Ding; Lu-Xi Qian; Zhi-Wei Lu; Wen-Jun Zhang; Xiao-Kang Tian; Xia He; Li Yin
Journal:  Oncotarget       Date:  2017-12-01

10.  A Potential Prognostic Long Noncoding RNA Signature to Predict Recurrence among ER-positive Breast Cancer Patients Treated with Tamoxifen.

Authors:  Kang Wang; Jie Li; Yong-Fu Xiong; Zhen Zeng; Xiang Zhang; Hong-Yuan Li
Journal:  Sci Rep       Date:  2018-02-16       Impact factor: 4.379

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