Microarray analysis of long non-coding RNA expression in human acute rejection biopsy samples following renal transplantation

Chen,Wenbiao; Peng,Wujian; Huang,Jianrong; Yu,Xiangqi; Tan,Kuibi; Chen,Yuyu; Lin,Xiaocong; Chen,Deheng; Dai,Yong

doi:10.3892/mmr.2014.2420

Microarray analysis of long non-coding RNA expression in human acute rejection biopsy samples following renal transplantation

Authors:
- Wenbiao Chen
- Wujian Peng
- Jianrong Huang
- Xiangqi Yu
- Kuibi Tan
- Yuyu Chen
- Xiaocong Lin
- Deheng Chen
- Yong Dai
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Affiliations: Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, Guangdong 518020, P.R. China, Third People's Hospital of Shenzhen, Guangdong Medical College, Shenzhen, Guangdong 518112, P.R. China, Ningbo Second Hospital, Ningbo, Zhejiang 315100, P.R. China, Institute of Biochemistry and Molecular Biology, Guangdong Medical College, Zhanjiang, Guangdong 524000, P.R. China
Published online on: July 24, 2014 https://doi.org/10.3892/mmr.2014.2420
Pages: 2210-2216

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Abstract

Rejection is still a major obstacle in long-term allograft survival of renal transplant recipients. Long non‑coding RNAs (lncRNAs) are an important class of pervasive RNAs involved in a variety of biological functions, and which are often found to be differentially expressed between healthy and pathological conditions. The aim of this study was to compare the expression profiles of lncRNAs between samples from acute rejection following kidney transplantation and control samples. Three patients were enrolled, diagnosed by renal biopsy with acute rejection upon kidney transplantation. We used lncRNA microarrays to study the lncRNA expression profiles in the kidney biopsies of these patients and in kidneys from healthy donors. Reverse transcription‑quantitative polymerase chain reaction (RT-qPCR) was used to validate the microarray results. In addition, potential functions of the identified lncRNAs were further explored by searching the UCSC, RNAdb, RefSeq and NRED databases. Five candidate lncRNAs displaying differential expression in acute rejection samples were validated by RT-qPCR. The results were in agreement with the microarray data. Among the identified lncRNAs, certain have been previously identified in relevant conditions, thereby supporting previous evidence, but certain may constitute novel biomarker candidates. This is the first report to date using lncRNA microarrays to identify unique expression signatures of acute rejection in transplant biopsies. Our data indicate that lncRNAs are potentially involved in the pathogenesis of acute rejection. Our results may have important implications in the identification of diagnostic biomarkers, as well as in the understanding and treatment of acute rejection following renal transplantation.

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