Literature DB >> 26729350

Multiplexed color-coded probe-based gene expression assessment for clinical molecular diagnostics in formalin-fixed paraffin-embedded human renal allograft tissue.

Benjamin Adam1, Bahman Afzali1,2, Katherine M Dominy3, Erin Chapman1, Reeda Gill1, Luis G Hidalgo1, Candice Roufosse3,4, Banu Sis1, Michael Mengel1.   

Abstract

Histopathologic diagnoses in transplantation can be improved with molecular testing. Preferably, molecular diagnostics should fit into standard-of-care workflows for transplant biopsies, that is, formalin-fixed paraffin-embedded (FFPE) processing. The NanoString(®) gene expression platform has recently been shown to work with FFPE samples. We aimed to evaluate its methodological robustness and feasibility for gene expression studies in human FFPE renal allograft samples. A literature-derived antibody-mediated rejection (ABMR) 34-gene set, comprised of endothelial, NK cell, and inflammation transcripts, was analyzed in different retrospective biopsy cohorts and showed potential to molecularly discriminate ABMR cases, including FFPE samples. NanoString(®) results were reproducible across a range of RNA input quantities (r = 0.998), with different operators (r = 0.998), and between different reagent lots (r = 0.983). There was moderate correlation between NanoString(®) with FFPE tissue and quantitative reverse transcription polymerase chain reaction (qRT-PCR) with corresponding dedicated fresh-stabilized tissue (r = 0.487). Better overall correlation with histology was observed with NanoString(®) (r = 0.354) than with qRT-PCR (r = 0.146). Our results demonstrate the feasibility of multiplexed gene expression quantification from FFPE renal allograft tissue. This represents a method for prospective and retrospective validation of molecular diagnostics and its adoption in clinical transplantation pathology.
© 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  NanoString®; allograft; gene expression; molecular; transplantation

Mesh:

Substances:

Year:  2016        PMID: 26729350     DOI: 10.1111/ctr.12689

Source DB:  PubMed          Journal:  Clin Transplant        ISSN: 0902-0063            Impact factor:   2.863


  21 in total

Review 1.  Current pathological perspectives on chronic rejection in renal allografts.

Authors:  Shigeo Hara
Journal:  Clin Exp Nephrol       Date:  2016-11-16       Impact factor: 2.801

2.  Multi-gene technical assessment of qPCR and NanoString n-Counter analysis platforms in cynomolgus monkey cardiac allograft recipients.

Authors:  Emily A S Bergbower; Richard N Pierson; Agnes M Azimzadeh
Journal:  Cell Immunol       Date:  2019-11-08       Impact factor: 4.868

3.  RNA expression profiling of renal allografts in a nonhuman primate identifies variation in NK and endothelial gene expression.

Authors:  R N Smith; B A Adam; I A Rosales; M Matsunami; T Oura; A B Cosimi; T Kawai; M Mengel; R B Colvin
Journal:  Am J Transplant       Date:  2018-02-02       Impact factor: 8.086

4.  RNA expression profiling of nonhuman primate renal allograft rejection identifies tolerance.

Authors:  R N Smith; M Matsunami; B A Adam; I A Rosales; T Oura; A B Cosimi; T Kawai; M Mengel; R B Colvin
Journal:  Am J Transplant       Date:  2018-02-17       Impact factor: 8.086

5.  Long-term Kinetics of Intragraft Gene Signatures in Renal Allograft Tolerance Induced by Transient Mixed Chimerism.

Authors:  Masatoshi Matsunami; Ivy A Rosales; Benjamin A Adam; Tetsu Oura; Michael Mengel; Rex-Neal Smith; Hang Lee; A Benedict Cosimi; Robert B Colvin; Tatsuo Kawai
Journal:  Transplantation       Date:  2019-11       Impact factor: 4.939

6.  Apelin directs endothelial cell differentiation and vascular repair following immune-mediated injury.

Authors:  Andrew G Masoud; Jiaxin Lin; Abul K Azad; Maikel A Farhan; Conrad Fischer; Lin F Zhu; Hao Zhang; Banu Sis; Zamaneh Kassiri; Ronald B Moore; Daniel Kim; Colin C Anderson; John C Vederas; Benjamin A Adam; Gavin Y Oudit; Allan G Murray
Journal:  J Clin Invest       Date:  2020-01-02       Impact factor: 14.808

7.  WNT pathway signaling is associated with microvascular injury and predicts kidney transplant failure.

Authors:  Michael E Seifert; Joseph P Gaut; Boyi Guo; Sanjay Jain; Andrew F Malone; Feargal Geraghty; Deborah L Della Manna; Eddy S Yang; Nengjun Yi; Daniel C Brennan; Roslyn B Mannon
Journal:  Am J Transplant       Date:  2019-05-10       Impact factor: 8.086

8.  Chronic Antibody-Mediated Rejection in Nonhuman Primate Renal Allografts: Validation of Human Histological and Molecular Phenotypes.

Authors:  B A Adam; R N Smith; I A Rosales; M Matsunami; B Afzali; T Oura; A B Cosimi; T Kawai; R B Colvin; M Mengel
Journal:  Am J Transplant       Date:  2017-05-24       Impact factor: 9.369

Review 9.  The Utilization of Formalin Fixed-Paraffin-Embedded Specimens in High Throughput Genomic Studies.

Authors:  Pan Zhang; Brian D Lehmann; Yu Shyr; Yan Guo
Journal:  Int J Genomics       Date:  2017-01-26       Impact factor: 2.326

10.  Gene Expression Profiling in Kidney Transplants with Immune Checkpoint Inhibitor-Associated Adverse Events.

Authors:  Benjamin A Adam; Naoka Murakami; Graeme Reid; Katie Du; Ruqaya Jasim; Christie L Boils; Lihong Bu; Peter D Hill; Allan G Murray; Karine Renaudin; Candice Roufosse; Astrid Weins; Kevin Wen; Leonardo V Riella; Michael Mengel
Journal:  Clin J Am Soc Nephrol       Date:  2021-07-09       Impact factor: 10.614

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