Evidence map›Paper›PMID 34189472›Full record

ArticleSTAR protocols2021

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

Giuseppina E Grieco, Guido Sebastiani, Daniela Fignani, Noemi Brusco, Laura Nigi, Caterina Formichi, Giada Licata, Marco Bruttini, Romina D'Aurizio, Chantal Mathieu and 2 more

Open access · goldAbstract read
In one paragraph

Article in STAR protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.8field-weighted citation impact, top 35% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 13 citations in OpenAlex.

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  12. Non-Coding RNAs: Novel Players in Insulin Resistance and Related Diseases.International journal of molecular sciences · 2021
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 2 countries.

Giuseppina E GriecoDiabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena 53100, Italy.
Guido SebastianiDiabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena 53100, Italy.
Daniela FignaniDiabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena 53100, Italy.
Noemi BruscoDiabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena 53100, Italy.
Laura NigiDiabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena 53100, Italy.
Caterina FormichiDiabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena 53100, Italy.
Giada LicataDiabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena 53100, Italy.
Marco BruttiniDiabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena 53100, Italy.
Romina D'AurizioInstitute of Informatics and Telematics, National Research Council, 56124 Pisa, Italy.
Chantal MathieuClinical and Experimental Endocrinology, KU Leuven, Leuven, Belgium.
Conny GysemansClinical and Experimental Endocrinology, KU Leuven, Leuven, Belgium.
Francesco DottaDiabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena 53100, Italy.
University of Siena · ITKU Leuven · BEInstitute of Informatics and Telematics · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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).

Indexed as

BiomarkersHigh-Throughput Nucleotide SequencingHumansReproducibility of ResultsRNA, Small UntranslatedBiomarkersRNA, Small UntranslatedHigh Throughput ScreeningMolecular BiologyRNAseqSequence analysisSequencing

Identifiers

PMID34189472
PMCPMC8219884
OpenAlexW3172314289

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.