Protocol to analyze circulating small non-coding RNAs by high-throughput RNA sequencing from human plasma samples

Summary: The identification and validation of circulating small non-coding RNA (sncRNA) as biomarkers for disease diagnosis, staging, and response to novel therapies is still a compelling challenge. Pre-analytical variables, such as storage temperature or blood hemolysis, and different analytical ap...

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Main Authors: Giuseppina E. Grieco, Guido Sebastiani, Daniela Fignani, Noemi Brusco, Laura Nigi, Caterina Formichi, Giada Licata, Marco Bruttini, Romina D’Aurizio, Chantal Mathieu, Conny Gysemans, Francesco Dotta
Format: Article
Language:English
Published: Elsevier 2021-09-01
Series:STAR Protocols
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666166721003130
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spelling doaj-2f21c355d0314f82b4392096e3d24d9a2021-09-19T04:59:52ZengElsevierSTAR Protocols2666-16672021-09-0123100606Protocol to analyze circulating small non-coding RNAs by high-throughput RNA sequencing from human plasma samplesGiuseppina E. Grieco0Guido Sebastiani1Daniela Fignani2Noemi Brusco3Laura Nigi4Caterina Formichi5Giada Licata6Marco Bruttini7Romina D’Aurizio8Chantal Mathieu9Conny Gysemans10Francesco Dotta11Diabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena 53100, Italy; Fondazione Umberto Di Mario, c/o Toscana Life Sciences, Siena 53100, ItalyDiabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena 53100, Italy; Fondazione Umberto Di Mario, c/o Toscana Life Sciences, Siena 53100, Italy; UOC Diabetologia, Azienda Ospedaliera Universitaria Senese, Siena 53100, Italy; Corresponding authorDiabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena 53100, Italy; Fondazione Umberto Di Mario, c/o Toscana Life Sciences, Siena 53100, ItalyDiabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena 53100, Italy; Fondazione Umberto Di Mario, c/o Toscana Life Sciences, Siena 53100, ItalyDiabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena 53100, Italy; Fondazione Umberto Di Mario, c/o Toscana Life Sciences, Siena 53100, ItalyDiabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena 53100, Italy; Fondazione Umberto Di Mario, c/o Toscana Life Sciences, Siena 53100, ItalyDiabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena 53100, Italy; Fondazione Umberto Di Mario, c/o Toscana Life Sciences, Siena 53100, ItalyDiabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena 53100, Italy; Tuscany Centre for Precision Medicine (CReMeP), Siena 53100, ItalyInstitute of Informatics and Telematics, National Research Council, 56124 Pisa, ItalyClinical and Experimental Endocrinology, KU Leuven, Leuven, BelgiumClinical and Experimental Endocrinology, KU Leuven, Leuven, BelgiumDiabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena 53100, Italy; Fondazione Umberto Di Mario, c/o Toscana Life Sciences, Siena 53100, Italy; Tuscany Centre for Precision Medicine (CReMeP), Siena 53100, ItalySummary: The identification and validation of circulating small non-coding RNA (sncRNA) as biomarkers for disease diagnosis, staging, and response to novel therapies is still a compelling challenge. Pre-analytical variables, such as storage temperature or blood hemolysis, and different analytical approaches affect sncRNA stability, detection, and expression, resulting in discrepancies among studies. Here, we report a systematic standardized protocol to reproducibly analyze circulating sncRNAs, employing high-throughput sncRNA sequencing and qRT-PCR validation, from 200 μL of human plasma samples.For details on the use and execution of this protocol, please refer to Ventriglia et al. (2020), Sebastiani et al. (2017), and Dotta et al. (2018).http://www.sciencedirect.com/science/article/pii/S2666166721003130Sequence analysisSequencingRNAseqHigh Throughput ScreeningMolecular Biology
collection DOAJ
language English
format Article
sources DOAJ
author Giuseppina E. Grieco
Guido Sebastiani
Daniela Fignani
Noemi Brusco
Laura Nigi
Caterina Formichi
Giada Licata
Marco Bruttini
Romina D’Aurizio
Chantal Mathieu
Conny Gysemans
Francesco Dotta
spellingShingle Giuseppina E. Grieco
Guido Sebastiani
Daniela Fignani
Noemi Brusco
Laura Nigi
Caterina Formichi
Giada Licata
Marco Bruttini
Romina D’Aurizio
Chantal Mathieu
Conny Gysemans
Francesco Dotta
Protocol to analyze circulating small non-coding RNAs by high-throughput RNA sequencing from human plasma samples
STAR Protocols
Sequence analysis
Sequencing
RNAseq
High Throughput Screening
Molecular Biology
author_facet Giuseppina E. Grieco
Guido Sebastiani
Daniela Fignani
Noemi Brusco
Laura Nigi
Caterina Formichi
Giada Licata
Marco Bruttini
Romina D’Aurizio
Chantal Mathieu
Conny Gysemans
Francesco Dotta
author_sort Giuseppina E. Grieco
title Protocol to analyze circulating small non-coding RNAs by high-throughput RNA sequencing from human plasma samples
title_short Protocol to analyze circulating small non-coding RNAs by high-throughput RNA sequencing from human plasma samples
title_full Protocol to analyze circulating small non-coding RNAs by high-throughput RNA sequencing from human plasma samples
title_fullStr Protocol to analyze circulating small non-coding RNAs by high-throughput RNA sequencing from human plasma samples
title_full_unstemmed Protocol to analyze circulating small non-coding RNAs by high-throughput RNA sequencing from human plasma samples
title_sort protocol to analyze circulating small non-coding rnas by high-throughput rna sequencing from human plasma samples
publisher Elsevier
series STAR Protocols
issn 2666-1667
publishDate 2021-09-01
description Summary: The identification and validation of circulating small non-coding RNA (sncRNA) as biomarkers for disease diagnosis, staging, and response to novel therapies is still a compelling challenge. Pre-analytical variables, such as storage temperature or blood hemolysis, and different analytical approaches affect sncRNA stability, detection, and expression, resulting in discrepancies among studies. Here, we report a systematic standardized protocol to reproducibly analyze circulating sncRNAs, employing high-throughput sncRNA sequencing and qRT-PCR validation, from 200 μL of human plasma samples.For details on the use and execution of this protocol, please refer to Ventriglia et al. (2020), Sebastiani et al. (2017), and Dotta et al. (2018).
topic Sequence analysis
Sequencing
RNAseq
High Throughput Screening
Molecular Biology
url http://www.sciencedirect.com/science/article/pii/S2666166721003130
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