Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Lu, Minqiu, Wu, Yin, Gao, Wen, Tian, Ying, Wang, Guorong, Liu, Aijun, Chen, Wenming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
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
_version_ 1783704091822653440
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
work_keys_str_mv AT luminqiu novelnoncodingrnaanalysisinmultiplemyelomaidentifiedthroughhighthroughputsequencing
AT wuyin novelnoncodingrnaanalysisinmultiplemyelomaidentifiedthroughhighthroughputsequencing
AT gaowen novelnoncodingrnaanalysisinmultiplemyelomaidentifiedthroughhighthroughputsequencing
AT tianying novelnoncodingrnaanalysisinmultiplemyelomaidentifiedthroughhighthroughputsequencing
AT wangguorong novelnoncodingrnaanalysisinmultiplemyelomaidentifiedthroughhighthroughputsequencing
AT liuaijun novelnoncodingrnaanalysisinmultiplemyelomaidentifiedthroughhighthroughputsequencing
AT chenwenming novelnoncodingrnaanalysisinmultiplemyelomaidentifiedthroughhighthroughputsequencing