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

Abstract 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 C...

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Main Authors: Qingyuan Qu, Ying Li, Xiaosheng Fang, Lingyan Zhang, Chao Xue, Xueling Ge, Xin Wang, Yujie Jiang
Format: Article
Language:English
Published: BMC 2019-11-01
Series:Biology Direct
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13062-019-0255-8
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spelling doaj-f78bef60a24c4fb78a8d6f6f18b573172020-11-25T01:32:27ZengBMCBiology Direct1745-61502019-11-0114111410.1186/s13062-019-0255-8Differentially expressed tRFs in CD5 positive relapsed & refractory diffuse large B cell lymphoma and the bioinformatic analysis for their potential clinical useQingyuan Qu0Ying Li1Xiaosheng Fang2Lingyan Zhang3Chao Xue4Xueling Ge5Xin Wang6Yujie Jiang7Department of Hematology, Shandong Provincial Hospital Affiliated to Shandong UniversityDepartment of Hematology, Shandong Provincial Hospital Affiliated to Shandong UniversityDepartment of Hematology, Shandong Provincial Hospital Affiliated to Shandong UniversityDepartment of Hematology, Shandong Provincial Hospital Affiliated to Shandong UniversityDepartment of Hematology, Shandong Provincial Hospital Affiliated to Shandong UniversityDepartment of Hematology, Shandong Provincial Hospital Affiliated to Shandong UniversityDepartment of Hematology, Shandong Provincial Hospital Affiliated to Shandong UniversityDepartment of Hematology, Shandong Provincial Hospital Affiliated to Shandong UniversityAbstract 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.http://link.springer.com/article/10.1186/s13062-019-0255-8tRFsDLBCLBioinformaticsHub gene
collection DOAJ
language English
format Article
sources DOAJ
author Qingyuan Qu
Ying Li
Xiaosheng Fang
Lingyan Zhang
Chao Xue
Xueling Ge
Xin Wang
Yujie Jiang
spellingShingle Qingyuan Qu
Ying Li
Xiaosheng Fang
Lingyan Zhang
Chao Xue
Xueling Ge
Xin Wang
Yujie Jiang
Differentially expressed tRFs in CD5 positive relapsed & refractory diffuse large B cell lymphoma and the bioinformatic analysis for their potential clinical use
Biology Direct
tRFs
DLBCL
Bioinformatics
Hub gene
author_facet Qingyuan Qu
Ying Li
Xiaosheng Fang
Lingyan Zhang
Chao Xue
Xueling Ge
Xin Wang
Yujie Jiang
author_sort Qingyuan Qu
title 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_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_sort differentially expressed trfs in cd5 positive relapsed & refractory diffuse large b cell lymphoma and the bioinformatic analysis for their potential clinical use
publisher BMC
series Biology Direct
issn 1745-6150
publishDate 2019-11-01
description Abstract 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.
topic tRFs
DLBCL
Bioinformatics
Hub gene
url http://link.springer.com/article/10.1186/s13062-019-0255-8
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