Cargando…

Differentially expressed tRFs in CD5 positive relapsed & refractory diffuse large B cell lymphoma and the bioinformatic analysis for their potential clinical use

BACKGROUND: Patients diagnosed as diffuse large B cell lymphoma (DLBCL) with CD5 positive normally have a worse outcome and poorly respond to the regulatory treatment strategy. RESULTS: We recently reported differently expressed tRFs and their potential target-genes of tRFs in patients with CD5+ R/R...

Descripción completa

Detalles Bibliográficos
Autores principales: Qu, Qingyuan, Li, Ying, Fang, Xiaosheng, Zhang, Lingyan, Xue, Chao, Ge, Xueling, Wang, Xin, Jiang, Yujie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6882323/
https://www.ncbi.nlm.nih.gov/pubmed/31775867
http://dx.doi.org/10.1186/s13062-019-0255-8
_version_ 1783474133261090816
author Qu, Qingyuan
Li, Ying
Fang, Xiaosheng
Zhang, Lingyan
Xue, Chao
Ge, Xueling
Wang, Xin
Jiang, Yujie
author_facet Qu, Qingyuan
Li, Ying
Fang, Xiaosheng
Zhang, Lingyan
Xue, Chao
Ge, Xueling
Wang, Xin
Jiang, Yujie
author_sort Qu, Qingyuan
collection PubMed
description BACKGROUND: Patients diagnosed as diffuse large B cell lymphoma (DLBCL) with CD5 positive normally have a worse outcome and poorly respond to the regulatory treatment strategy. RESULTS: We recently reported differently expressed tRFs and their potential target-genes of tRFs in patients with CD5+ R/R DLBCL. Differently expressed tRFs were detected by Illumina NextSeq instrument and the results were verified by quantitative real-time reverse transcription-PCR. tRF2Cancer database was searched to compared with the results. Further research was performed through bio-informatic analysis including gene ontology (GO) and pathway enrichment analyses, etc. A total of 308 tRFs were identified. Two sequences (AS-tDR-008946, AS-tDR-013492) were chosen for further investigated. CONCLUSIONS: The results of Bioinformatics analysis revealed that the target genes including NEDD4L and UBA52 and several associated pathways including PI3K/AKT and MAPK/ERK might be involved in the development of CD5+ R/R DLBCL. Our preliminary study on the associated tRFs might provide a valuable measure to explore the pathogenesis and progression of CD5+ R/R DLBCL. REVIEWERS: This article was reviewed by Zhen Qing Ye, Nagarajan Raju and Jin Zhuang Dou.
format Online
Article
Text
id pubmed-6882323
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-68823232019-12-03 Differentially expressed tRFs in CD5 positive relapsed & refractory diffuse large B cell lymphoma and the bioinformatic analysis for their potential clinical use Qu, Qingyuan Li, Ying Fang, Xiaosheng Zhang, Lingyan Xue, Chao Ge, Xueling Wang, Xin Jiang, Yujie Biol Direct Research BACKGROUND: Patients diagnosed as diffuse large B cell lymphoma (DLBCL) with CD5 positive normally have a worse outcome and poorly respond to the regulatory treatment strategy. RESULTS: We recently reported differently expressed tRFs and their potential target-genes of tRFs in patients with CD5+ R/R DLBCL. Differently expressed tRFs were detected by Illumina NextSeq instrument and the results were verified by quantitative real-time reverse transcription-PCR. tRF2Cancer database was searched to compared with the results. Further research was performed through bio-informatic analysis including gene ontology (GO) and pathway enrichment analyses, etc. A total of 308 tRFs were identified. Two sequences (AS-tDR-008946, AS-tDR-013492) were chosen for further investigated. CONCLUSIONS: The results of Bioinformatics analysis revealed that the target genes including NEDD4L and UBA52 and several associated pathways including PI3K/AKT and MAPK/ERK might be involved in the development of CD5+ R/R DLBCL. Our preliminary study on the associated tRFs might provide a valuable measure to explore the pathogenesis and progression of CD5+ R/R DLBCL. REVIEWERS: This article was reviewed by Zhen Qing Ye, Nagarajan Raju and Jin Zhuang Dou. BioMed Central 2019-11-27 /pmc/articles/PMC6882323/ /pubmed/31775867 http://dx.doi.org/10.1186/s13062-019-0255-8 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Qu, Qingyuan
Li, Ying
Fang, Xiaosheng
Zhang, Lingyan
Xue, Chao
Ge, Xueling
Wang, Xin
Jiang, Yujie
Differentially expressed tRFs in CD5 positive relapsed & refractory diffuse large B cell lymphoma and the bioinformatic analysis for their potential clinical use
title Differentially expressed tRFs in CD5 positive relapsed & refractory diffuse large B cell lymphoma and the bioinformatic analysis for their potential clinical use
title_full Differentially expressed tRFs in CD5 positive relapsed & refractory diffuse large B cell lymphoma and the bioinformatic analysis for their potential clinical use
title_fullStr Differentially expressed tRFs in CD5 positive relapsed & refractory diffuse large B cell lymphoma and the bioinformatic analysis for their potential clinical use
title_full_unstemmed Differentially expressed tRFs in CD5 positive relapsed & refractory diffuse large B cell lymphoma and the bioinformatic analysis for their potential clinical use
title_short Differentially expressed tRFs in CD5 positive relapsed & refractory diffuse large B cell lymphoma and the bioinformatic analysis for their potential clinical use
title_sort differentially expressed trfs in cd5 positive relapsed & refractory diffuse large b cell lymphoma and the bioinformatic analysis for their potential clinical use
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6882323/
https://www.ncbi.nlm.nih.gov/pubmed/31775867
http://dx.doi.org/10.1186/s13062-019-0255-8
work_keys_str_mv AT quqingyuan differentiallyexpressedtrfsincd5positiverelapsedrefractorydiffuselargebcelllymphomaandthebioinformaticanalysisfortheirpotentialclinicaluse
AT liying differentiallyexpressedtrfsincd5positiverelapsedrefractorydiffuselargebcelllymphomaandthebioinformaticanalysisfortheirpotentialclinicaluse
AT fangxiaosheng differentiallyexpressedtrfsincd5positiverelapsedrefractorydiffuselargebcelllymphomaandthebioinformaticanalysisfortheirpotentialclinicaluse
AT zhanglingyan differentiallyexpressedtrfsincd5positiverelapsedrefractorydiffuselargebcelllymphomaandthebioinformaticanalysisfortheirpotentialclinicaluse
AT xuechao differentiallyexpressedtrfsincd5positiverelapsedrefractorydiffuselargebcelllymphomaandthebioinformaticanalysisfortheirpotentialclinicaluse
AT gexueling differentiallyexpressedtrfsincd5positiverelapsedrefractorydiffuselargebcelllymphomaandthebioinformaticanalysisfortheirpotentialclinicaluse
AT wangxin differentiallyexpressedtrfsincd5positiverelapsedrefractorydiffuselargebcelllymphomaandthebioinformaticanalysisfortheirpotentialclinicaluse
AT jiangyujie differentiallyexpressedtrfsincd5positiverelapsedrefractorydiffuselargebcelllymphomaandthebioinformaticanalysisfortheirpotentialclinicaluse