Literature DB >> 30198258

Next Generation Sequencing Analysis of Total Small Noncoding RNAs from Low Input RNA from Dried Blood Sampling.

Marcello Pirritano1,2, Tobias Fehlmann3, Thomas Laufer4,5, Nicole Ludwig4, Gilles Gasparoni6, Yongping Li3,7, Eckart Meese4, Andreas Keller3,5, Martin Simon1,2.   

Abstract

Circulating miRNAs are favored for biomarker candidates as they can reflect tissue specific miRNA dysregulation in disease contexts. Moreover, they have the additional advantage that they can be monitored in a minimally invasive manner. Blood-borne miRNAs are therefore currently characterized to identify, describe, and validate their potential suitability as biomarkers; however, sampling and as well miRNA detection methods limit these studies in terms of sensitivity but also practicability in clinical, at-home, or low-resource sampling of high-quality circulating RNA samples. We describe here a novel and innovative method of circulating RNA microsampling from minimal volume dried blood samples with direct enrichment for small RNA fractions in combination with ligation free library preparation. We evaluated crucial parameters for efficient library preparation from low RNA inputs of 50 pg for efficient dissection not only of miRNAs but also isomiRs, piRNAs, and lincRNAs. We compared these data to classical microarrays and characterize the technical reproducibility and its sensitivity. We demonstrate and evaluate a method for easy low resource sampling and NGS analysis of circulating RNAs providing a powerful tool for massive cohort and remote patient monitoring.

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Year:  2018        PMID: 30198258     DOI: 10.1021/acs.analchem.8b03557

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  2 in total

1.  The sncRNA Zoo: a repository for circulating small noncoding RNAs in animals.

Authors:  Tobias Fehlmann; Christina Backes; Marcello Pirritano; Thomas Laufer; Valentina Galata; Fabian Kern; Mustafa Kahraman; Gilles Gasparoni; Nicole Ludwig; Hans-Peter Lenhof; Henrike A Gregersen; Richard Francke; Eckart Meese; Martin Simon; Andreas Keller
Journal:  Nucleic Acids Res       Date:  2019-05-21       Impact factor: 16.971

2.  miRTrace reveals the organismal origins of microRNA sequencing data.

Authors:  Wenjing Kang; Yrin Eldfjell; Bastian Fromm; Xavier Estivill; Inna Biryukova; Marc R Friedländer
Journal:  Genome Biol       Date:  2018-12-04       Impact factor: 13.583

  2 in total

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