Literature DB >> 23036329

Assessing sample and miRNA profile quality in serum and plasma or other biofluids.

Thorarinn Blondal1, Søren Jensby Nielsen, Adam Baker, Ditte Andreasen, Peter Mouritzen, Maria Wrang Teilum, Ina K Dahlsveen.   

Abstract

MicroRNAs (miRNAs) constitute a class of small cellular RNAs (typically 21-23nt) that function as post-transcriptional regulators of gene expression. Current estimates indicate that more than one third of the cellular transcriptome is regulated by miRNAs, although they are relatively few in number (less than 2000 human miRNAs). The high relative stability of miRNA in common clinical tissues and biofluids (e.g. plasma, serum, urine, saliva, etc.) and the ability of miRNA expression profiles to accurately classify discrete tissue types and disease states have positioned miRNA quantification as a promising new tool for a wide range of diagnostic applications. Furthermore miRNAs have been shown to be rapidly released from tissues into the circulation with the development of pathology. To facilitate discovery and clinical development of miRNA-based biomarkers, we developed a genome-wide Locked Nucleic Acid (LNA™)-based miRNA qPCR platform with unparalleled sensitivity and robustness. The platform allows high-throughput profiling of miRNAs from important clinical sources without the need for pre-amplification. Using this system, we have profiled thousands of biofluid samples including blood derived plasma and serum. An extensive quality control (QC) system has been implemented in order to secure technical excellence and reveal any unwanted bias coming from pre-analytical or analytical variables. We present our approaches to sample and RNA QC as well as data QC and normalization. Specifically we have developed normal reference ranges for circulating miRNAs in serum and plasma as well as a hemolysis indicator based on microRNA expression.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 23036329     DOI: 10.1016/j.ymeth.2012.09.015

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  255 in total

1.  Circulating microRNA biomarkers for metastatic disease in neuroblastoma patients.

Authors:  Fjoralba Zeka; Anneleen Decock; Alan Van Goethem; Katrien Vanderheyden; Fleur Demuynck; Tim Lammens; Hetty H Helsmoortel; Joëlle Vermeulen; Rosa Noguera; Ana P Berbegall; Valérie Combaret; Gudrun Schleiermacher; Geneviève Laureys; Alexander Schramm; Johannes H Schulte; Sven Rahmann; Julie Bienertová-Vašků; Pavel Mazánek; Marta Jeison; Shifra Ash; Michael D Hogarty; Mirthala Moreno-Smith; Eveline Barbieri; Jason Shohet; Frank Berthold; Tom Van Maerken; Frank Speleman; Matthias Fischer; Katleen De Preter; Pieter Mestdagh; Jo Vandesompele
Journal:  JCI Insight       Date:  2018-12-06

2.  Plasma MicroRNAs as Novel Biomarkers for Patients with Intraductal Papillary Mucinous Neoplasms of the Pancreas.

Authors:  Jennifer Permuth-Wey; Dung-Tsa Chen; William J Fulp; Sean J Yoder; Yonghong Zhang; Christina Georgeades; Kazim Husain; Barbara Ann Centeno; Anthony M Magliocco; Domenico Coppola; Mokenge Malafa
Journal:  Cancer Prev Res (Phila)       Date:  2015-09

Review 3.  Circulating microRNAs and diabetes mellitus: a novel tool for disease prediction, diagnosis, and staging?

Authors:  G Sebastiani; L Nigi; G E Grieco; F Mancarella; G Ventriglia; F Dotta
Journal:  J Endocrinol Invest       Date:  2017-02-17       Impact factor: 4.256

Review 4.  Effect of aging on microRNAs and regulation of pathogen recognition receptors.

Authors:  Fabiola Olivieri; Antonio Domenico Procopio; Ruth R Montgomery
Journal:  Curr Opin Immunol       Date:  2014-04-25       Impact factor: 7.486

5.  Circulating microRNA levels predict residual beta cell function and glycaemic control in children with type 1 diabetes mellitus.

Authors:  Nasim Samandari; Aashiq H Mirza; Lotte B Nielsen; Simranjeet Kaur; Philip Hougaard; Siri Fredheim; Henrik B Mortensen; Flemming Pociot
Journal:  Diabetologia       Date:  2016-11-19       Impact factor: 10.122

6.  Gastric adenocarcinoma microRNA profiles in fixed tissue and in plasma reveal cancer-associated and Epstein-Barr virus-related expression patterns.

Authors:  Amanda L Treece; Daniel L Duncan; Weihua Tang; Sandra Elmore; Douglas R Morgan; Ricardo L Dominguez; Olga Speck; Michael O Meyers; Margaret L Gulley
Journal:  Lab Invest       Date:  2016-03-07       Impact factor: 5.662

7.  Effects of a 28-day dietary co-exposure to melamine and cyanuric acid on the levels of serum microRNAs in male and female Fisher 344 rats.

Authors:  Camila S Silva; Ching-Wei Chang; Denita Williams; Patricia Porter-Gill; Gonçalo Gamboa da Costa; Luísa Camacho
Journal:  Food Chem Toxicol       Date:  2016-09-09       Impact factor: 6.023

8.  MicroRNA in cardiovascular calcification: focus on targets and extracellular vesicle delivery mechanisms.

Authors:  Claudia Goettsch; Joshua D Hutcheson; Elena Aikawa
Journal:  Circ Res       Date:  2013-03-29       Impact factor: 17.367

9.  Identification of miR-139-5p as a saliva biomarker for tongue squamous cell carcinoma: a pilot study.

Authors:  Mehmet Bugrahan Duz; Omer Faruk Karatas; Esra Guzel; Nesrettin Fatih Turgut; Mehmet Yilmaz; Chad J Creighton; Mustafa Ozen
Journal:  Cell Oncol (Dordr)       Date:  2015-12-09       Impact factor: 6.730

Review 10.  Design and Analysis for Studying microRNAs in Human Disease: A Primer on -Omic Technologies.

Authors:  Viswam S Nair; Colin C Pritchard; Muneesh Tewari; John P A Ioannidis
Journal:  Am J Epidemiol       Date:  2014-06-24       Impact factor: 4.897

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