Evidence map›Paper›PMID 30963495›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2019

isoTar: Consensus Target Prediction with Enrichment Analysis for MicroRNAs Harboring Editing Sites and Other Variations.

Rosario Distefano, Giovanni Nigita, Dario Veneziano, Giulia Romano, Carlo M Croce, Mario Acunzo

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2019. 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
4.2field-weighted citation impact, top 5% 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, 16 citations in OpenAlex.

  1. Article
  2. ncRNA Editing: Functional Characterization and Computational Resources.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Computational Detection of MicroRNA Targets.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. 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

6 authors at 3 institutions in 1 country.

Rosario DistefanoDepartment of Cancer Biology and Genetics, Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Giovanni NigitaDepartment of Cancer Biology and Genetics, Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA. Giovanni.Nigita@osumc.edu.
Dario VenezianoDepartment of Cancer Biology and Genetics, Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Giulia RomanoDivision of Pulmonary Diseases and Critical Care Medicine, Virginia Commonwealth University, Richmond, VA, USA.
Carlo M CroceDepartment of Cancer Biology and Genetics, Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Mario AcunzoDivision of Pulmonary Diseases and Critical Care Medicine, Virginia Commonwealth University, Richmond, VA, USA.
Cancer Genetics (United States) · USThe Ohio State University · USVirginia Commonwealth University · US

Funding

Research Supplement to Promote Diversity in Health Related ResearchUL1TR002649 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI MOELLER, FREDERICK GERARD · 2018 to 2022
$19.1M
NCATS NIH HHS UL1 TR002649
6 · The paper itself

Abstract

MicroRNAs (miRNAs) are small noncoding RNA molecules (sncRNAs) involved in gene expression regulation. Having been widely studied during last two decades, they have been associated with several diseases, including cancer. Recent improvements in high throughput sequencing technologies have revealed a more complex miRNAome, due to miRNA sequence modification phenomena, such as RNA editing and isomiRs. As a result, a new class of tools is necessary in order to appropriately investigate this emerging complexity. To address such need, we developed isoTar, a high-performance Web-based containerized application designed for miRNA consensus targeting prediction and functional enrichment analyses. In the present chapter, we provide an overview of isoTar ( https://ncrnaome.osumc.edu/isotar/ ), as well as benchmarks and a guide to its usage.

Indexed as

Genetic VariationRNA EditingSoftwareComputational BiologyConsensusGene Expression RegulationHigh-Throughput Nucleotide SequencingHumansMicroRNAsRNA, MessengerSequence Analysis, RNAMicroRNAsRNA, MessengerADARA-to-I RNA editingEditomeIsomiRs

Identifiers

PMID30963495
PMCPMC8022917
OpenAlexW2936758601

What OpenQuestion holds

Textmetadata
LicenceTDM
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.