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Novel Non-coding RNA Analysis in Multiple Myeloma Identified Through High-Throughput Sequencing
This study aimed to explore the potential effects of novel non-coding ribose nucleic acids (ncRNAs) in patients with multiple myeloma (MM). The gene expression profile of plasma cells was used for sequence analysis to explore the expression pattern of ncRNAs in MM. The expression patterns of non-cod...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8181418/ https://www.ncbi.nlm.nih.gov/pubmed/34108986 http://dx.doi.org/10.3389/fgene.2021.625019 |
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author | Lu, Minqiu Wu, Yin Gao, Wen Tian, Ying Wang, Guorong Liu, Aijun Chen, Wenming |
author_facet | Lu, Minqiu Wu, Yin Gao, Wen Tian, Ying Wang, Guorong Liu, Aijun Chen, Wenming |
author_sort | Lu, Minqiu |
collection | PubMed |
description | This study aimed to explore the potential effects of novel non-coding ribose nucleic acids (ncRNAs) in patients with multiple myeloma (MM). The gene expression profile of plasma cells was used for sequence analysis to explore the expression pattern of ncRNAs in MM. The expression patterns of non-coding RNAs in MM were analyzed by RNA sequencing (whole-transcriptome-specific RNA sequencing). Next, the expression of the selected ncRNAs was verified by quantitative real-time polymerase chain reaction. Further, the lncRNA-associated competitive endogenous RNA network in MM was elucidated using deep RNA-seq. Differentially expressed (DE) ncRNAs were significantly regulated in patients with MM. DE target lncRNAs were analyzed by cis and trans targeting prediction. Two new lncRNAs were shown to be related to MM oncogenes. MSTRG.155519 played a carcinogenic role in myeloma by targeting CEACAM1; MSTRG.13132 was related to FAM46C. Finally, the network of lncRNA–mRNA–miRNA in MM was constructed in this study. The expression of non-coding RNAs through sequence and functional analyses might be helpful for further studies on the pathogenesis of MM and the development of new MM-targeted therapy for non-coding RNAs. |
format | Online Article Text |
id | pubmed-8181418 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81814182021-06-08 Novel Non-coding RNA Analysis in Multiple Myeloma Identified Through High-Throughput Sequencing Lu, Minqiu Wu, Yin Gao, Wen Tian, Ying Wang, Guorong Liu, Aijun Chen, Wenming Front Genet Genetics This study aimed to explore the potential effects of novel non-coding ribose nucleic acids (ncRNAs) in patients with multiple myeloma (MM). The gene expression profile of plasma cells was used for sequence analysis to explore the expression pattern of ncRNAs in MM. The expression patterns of non-coding RNAs in MM were analyzed by RNA sequencing (whole-transcriptome-specific RNA sequencing). Next, the expression of the selected ncRNAs was verified by quantitative real-time polymerase chain reaction. Further, the lncRNA-associated competitive endogenous RNA network in MM was elucidated using deep RNA-seq. Differentially expressed (DE) ncRNAs were significantly regulated in patients with MM. DE target lncRNAs were analyzed by cis and trans targeting prediction. Two new lncRNAs were shown to be related to MM oncogenes. MSTRG.155519 played a carcinogenic role in myeloma by targeting CEACAM1; MSTRG.13132 was related to FAM46C. Finally, the network of lncRNA–mRNA–miRNA in MM was constructed in this study. The expression of non-coding RNAs through sequence and functional analyses might be helpful for further studies on the pathogenesis of MM and the development of new MM-targeted therapy for non-coding RNAs. Frontiers Media S.A. 2021-05-24 /pmc/articles/PMC8181418/ /pubmed/34108986 http://dx.doi.org/10.3389/fgene.2021.625019 Text en Copyright © 2021 Lu, Wu, Gao, Tian, Wang, Liu and Chen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Lu, Minqiu Wu, Yin Gao, Wen Tian, Ying Wang, Guorong Liu, Aijun Chen, Wenming Novel Non-coding RNA Analysis in Multiple Myeloma Identified Through High-Throughput Sequencing |
title | Novel Non-coding RNA Analysis in Multiple Myeloma Identified Through High-Throughput Sequencing |
title_full | Novel Non-coding RNA Analysis in Multiple Myeloma Identified Through High-Throughput Sequencing |
title_fullStr | Novel Non-coding RNA Analysis in Multiple Myeloma Identified Through High-Throughput Sequencing |
title_full_unstemmed | Novel Non-coding RNA Analysis in Multiple Myeloma Identified Through High-Throughput Sequencing |
title_short | Novel Non-coding RNA Analysis in Multiple Myeloma Identified Through High-Throughput Sequencing |
title_sort | novel non-coding rna analysis in multiple myeloma identified through high-throughput sequencing |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8181418/ https://www.ncbi.nlm.nih.gov/pubmed/34108986 http://dx.doi.org/10.3389/fgene.2021.625019 |
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