Literature DB >> 26586227

RNA Detection in Urine: From RNA Extraction to Good Normalizer Molecules.

Mónica Martínez-Fernández1, Jesús M Paramio2, Marta Dueñas3.   

Abstract

RNA detection in liquid urine biopsy specimens could be an optimal method for noninvasive diagnostic and prognostic procedures in urologic disorders; however, there are no standardized procedures for implementing it in the clinic. We present a systematic evaluation of the best storage conditions and purification methods using four commercially available extraction kits to purify RNA from void urine. We measured different RNA molecules to select good and stable biomarkers and normalizers for analyses in liquid urine biopsy specimens. We have established a new combined procedure for RNA isolation from urine and found good performance in 25 urine samples from healthy volunteers of both sexes. Associations were tested using the t-test for paired samples, and miRNA specimens were selected as the more stable molecules. Stability analysis was performed, and we found miR193a and miR448 as the best normalizers to be used in this biofluid. This is a highly reproducible method that could be used to evaluate urine samples for diagnostic and prognostic purposes.
Copyright © 2016 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 26586227     DOI: 10.1016/j.jmoldx.2015.07.008

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  9 in total

1.  Automated DNA, RNA, and Protein Extraction from Urine for Biobanking.

Authors:  Caroline Barau; Pascale Maillé; Nanor Sirab; Bijan Ghaleh; Yves Allory
Journal:  J Biomol Tech       Date:  2022-02-06

Review 2.  MicroRNAs and drug-induced kidney injury.

Authors:  Mira Pavkovic; Vishal S Vaidya
Journal:  Pharmacol Ther       Date:  2016-04-25       Impact factor: 12.310

3.  Opposing roles of PIK3CA gene alterations to EZH2 signaling in non-muscle invasive bladder cancer.

Authors:  Cristina Segovia; Mónica Martínez-Fernández; Marta Dueñas; Carolina Rubio; Fernando F López-Calderón; Clotilde Costa; Cristina Saiz-Ladera; María Fernández-Grajera; José Duarte; Huberto García Muñoz; Federico de la Rosa; Felipe Villacampa; Daniel Castellano; Jesús M Paramio
Journal:  Oncotarget       Date:  2017-02-07

Review 4.  Epigenetics of Bladder Cancer: Where Biomarkers and Therapeutic Targets Meet.

Authors:  Victor G Martinez; Ester Munera-Maravilla; Alejandra Bernardini; Carolina Rubio; Cristian Suarez-Cabrera; Cristina Segovia; Iris Lodewijk; Marta Dueñas; Mónica Martínez-Fernández; Jesus Maria Paramio
Journal:  Front Genet       Date:  2019-11-18       Impact factor: 4.599

Review 5.  Isolation of Cell-Free miRNA from Biological Fluids: Influencing Factors and Methods.

Authors:  Olga Bryzgunova; Maria Konoshenko; Ivan Zaporozhchenko; Alexey Yakovlev; Pavel Laktionov
Journal:  Diagnostics (Basel)       Date:  2021-05-11

6.  Urinary Cell-Free miR-99a-5p as a Potential Biomarker for Estrus Detection in Buffalo.

Authors:  Aparna Hebbar; Rajeev Chandel; Payal Rani; Suneel Kumar Onteru; Dheer Singh
Journal:  Front Vet Sci       Date:  2021-05-17

Review 7.  Liquid Biopsy Biomarkers in Bladder Cancer: A Current Need for Patient Diagnosis and Monitoring.

Authors:  Iris Lodewijk; Marta Dueñas; Carolina Rubio; Ester Munera-Maravilla; Cristina Segovia; Alejandra Bernardini; Alicia Teijeira; Jesús M Paramio; Cristian Suárez-Cabrera
Journal:  Int J Mol Sci       Date:  2018-08-24       Impact factor: 5.923

8.  Analysis of extracellular mRNA in human urine reveals splice variant biomarkers of muscular dystrophies.

Authors:  Layal Antoury; Ningyan Hu; Leonora Balaj; Sudeshna Das; Sofia Georghiou; Basil Darras; Tim Clark; Xandra O Breakefield; Thurman M Wheeler
Journal:  Nat Commun       Date:  2018-09-25       Impact factor: 14.919

Review 9.  Technical and Methodological Aspects of Cell-Free Nucleic Acids Analyzes.

Authors:  Zuzana Pös; Ondrej Pös; Jakub Styk; Angelika Mocova; Lucia Strieskova; Jaroslav Budis; Ludevit Kadasi; Jan Radvanszky; Tomas Szemes
Journal:  Int J Mol Sci       Date:  2020-11-16       Impact factor: 5.923

  9 in total

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