Literature DB >> 25198465

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

Wenbiao Chen1, Wujian Peng2, Jianrong Huang2, Xiangqi Yu1, Kuibi Tan3, Yuyu Chen1, Xiaocong Lin4, Deheng Chen1, Yong Dai1.   

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.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 25198465     DOI: 10.3892/mmr.2014.2420

Source DB:  PubMed          Journal:  Mol Med Rep        ISSN: 1791-2997            Impact factor:   2.952


  14 in total

Review 1.  Novel Biomarker Approaches for Managing Patients With Cardiac Transplantation.

Authors:  Peter J Kennel; P Christian Schulze
Journal:  Curr Heart Fail Rep       Date:  2015-10

Review 2.  Long Noncoding RNAs as Innovative Urinary Diagnostic Biomarkers.

Authors:  Giulia Brisotto; Roberto Guerrieri; Francesca Colizzi; Agostino Steffan; Barbara Montico; Elisabetta Fratta
Journal:  Methods Mol Biol       Date:  2021

Review 3.  Noncoding RNA and epigenetic gene regulation in renal diseases.

Authors:  Satya K Kota; Savithri B Kota
Journal:  Drug Discov Today       Date:  2017-05-06       Impact factor: 7.851

4.  Identification of Candidate Biomarkers for Transplant Rejection from Transcriptome Data: A Systematic Review.

Authors:  Sheyla Velasques Paladini; Graziela Hünning Pinto; Rodrigo Haas Bueno; Raquel Calloni; Mariana Recamonde-Mendoza
Journal:  Mol Diagn Ther       Date:  2019-08       Impact factor: 4.074

Review 5.  Long noncoding RNAs in kidney and cardiovascular diseases.

Authors:  Johan M Lorenzen; Thomas Thum
Journal:  Nat Rev Nephrol       Date:  2016-05-03       Impact factor: 28.314

6.  RNA-seq of human T cells after hematopoietic stem cell transplantation identifies Linc00402 as a regulator of T cell alloimmunity.

Authors:  Daniel Peltier; Molly Radosevich; Visweswaran Ravikumar; Sethuramasundaram Pitchiaya; Thomas Decoville; Sherri C Wood; Guoqing Hou; Cynthia Zajac; Katherine Oravecz-Wilson; David Sokol; Israel Henig; Julia Wu; Stephanie Kim; Austin Taylor; Hideaki Fujiwara; Yaping Sun; Arvind Rao; Arul M Chinnaiyan; Daniel R Goldstein; Pavan Reddy
Journal:  Sci Transl Med       Date:  2021-03-17       Impact factor: 19.319

7.  Differentially expressed gene transcripts using RNA sequencing from the blood of immunosuppressed kidney allograft recipients.

Authors:  Casey Dorr; Baolin Wu; Weihua Guan; Amutha Muthusamy; Kinjal Sanghavi; David P Schladt; Jonathan S Maltzman; Steven E Scherer; Marcia J Brott; Arthur J Matas; Pamala A Jacobson; William S Oetting; Ajay K Israni
Journal:  PLoS One       Date:  2015-05-06       Impact factor: 3.240

Review 8.  Potential Roles of Long Noncoding RNAs as Therapeutic Targets in Renal Fibrosis.

Authors:  Hyun Jin Jung; Hyun-Ju Kim; Kwan-Kyu Park
Journal:  Int J Mol Sci       Date:  2020-04-13       Impact factor: 5.923

Review 9.  Non-Coding RNA Mediated Regulation of Allogeneic T Cell Responses After Hematopoietic Transplantation.

Authors:  Daniel Peltier; Pavan Reddy
Journal:  Front Immunol       Date:  2018-06-15       Impact factor: 7.561

Review 10.  Diagnostic, Prognostic, and Therapeutic Value of Non-Coding RNA Expression Profiles in Renal Transplantation.

Authors:  Adriana Franco-Acevedo; Zesergio Melo; Raquel Echavarria
Journal:  Diagnostics (Basel)       Date:  2020-01-22
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.