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Status |
Public on Sep 22, 2021 |
Title |
Screening and identification of differentially expressed microRNAs in diffuse large B-cell lymphoma based on microRNA microarray |
Organism |
Homo sapiens |
Experiment type |
Non-coding RNA profiling by array
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Summary |
to screen and identify differentially expressed microRNAs (miRNAs) between diffuse large B-cell lymphoma (DLBCL) and control (lymph node reactive hyperplasia, LRH) groups, investigate whether miRNAs associated with DLBCL and could serve as potential therapeutic targets.
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Overall design |
Five DLBCL experimental samples and 5 control samples were obtained from fresh tissues. The exclusion criteria were expressed as follows: patients with other lymphoid diseases and patients undergoing chemical treatment. Firstly, fresh samples were analyzed using microRNA microarray to identify differentially expressed miRNAs. Next, three databases (Targetscan, microRNAorg, PITA) were used to intersection predict the potential target gene of the 204 differential miRNAs and performed Venn diagram of the results. Then, target genes of differential miRNAs were performed by Gene ontology (GO) and Kyoto Encyclopedia of Gene and Genome (KEGG) pathway analysis. Finally, to validate the microRNA microarray data, we performed Real-time reverse transcription PCR (qRT-PCR) for eight differentially expressed miRNAs (miR-193a-3p, miR-19a-3p, miR-19b-3p, miR-370-3p, miR-1275, miR-490-5p, miR-630 and miR-665) using DLBCL and LRH fresh samples.
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Contributor(s) |
Gao H |
Citation(s) |
34539857 |
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Submission date |
Apr 22, 2021 |
Last update date |
Sep 23, 2021 |
Contact name |
Xinxia Li |
Organization name |
The First Affiliated Hospital of Xinjiang Medical University
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Department |
Department of Pathology
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Street address |
The First Affiliated Hospital of Xinjiang Medical University
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City |
Urumqi |
State/province |
Xinjiang |
ZIP/Postal code |
830054 |
Country |
China |
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Platforms (1) |
GPL25134 |
Agilent-070156 Human_miRNA_V21.0_Microarray 046064 (miRNA ID version) |
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Samples (10)
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Relations |
BioProject |
PRJNA723761 |