Evidence map›Paper›PMID 42681325›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Computational Resources for Studying miRNA-lncRNA Interactions.

Francesco Orilio, Rosario Nicola Brancaccio, Francesco Verona, Giorgio Stassi, Sebastiano Di Bella, Giovanni Nigita

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Francesco OrilioDepartment of Precision Medicine in Medical, Surgical and Critical Care, University of Palermo, Palermo, Italy.
Rosario Nicola BrancaccioDepartment of Precision Medicine in Medical, Surgical and Critical Care, University of Palermo, Palermo, Italy.
Francesco VeronaDepartment of Precision Medicine in Medical, Surgical and Critical Care, University of Palermo, Palermo, Italy.
Giorgio StassiDepartment of Precision Medicine in Medical, Surgical and Critical Care, University of Palermo, Palermo, Italy.
Sebastiano Di Bella *Department of Precision Medicine in Medical, Surgical and Critical Care, University of Palermo, Palermo, Italy. sebastiano.dibella@unipa.it.
Giovanni Nigita *Center for RNA Biology, The Ohio State University, Columbus, USA. giovanni.nigita@osumc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The discovery of microRNAs (miRNAs), small non-coding RNAs approximately 22 nucleotides in length, revolutionized our understanding of post-transcriptional gene regulation in the early part of the twenty-first century. Since then, non-coding RNAs (ncRNAs) have become a major focus of scientific research, revealing their critical roles in cellular processes. Advances in high-throughput sequencing technologies have brought long non-coding RNAs (lncRNAs)-transcripts longer than 200 nucleotides-into the spotlight. While their functions are still being unraveled, lncRNAs have been identified as important regulators within the RNA interference (RNAi) pathway. They contain multiple miRNA response elements (MREs), allowing them to compete with other RNAs for miRNA binding. This competition, known as the competing endogenous RNA (ceRNA) or "sponge RNA" mechanism, has provided new insights into the complexity of gene regulation. This chapter explores the biomedical significance of ceRNAs, highlighting their role in modulating gene expression and their potential implications in disease. The chapter also summarizes available tools, resources, and practical examples for studying lncRNA-miRNA interactions to aid researchers in navigating this sophisticated regulatory network. It aims to support further advancements in this rapidly evolving field by bridging theoretical knowledge with practical applications.

Indexed as

Computational BiologyMicroRNAsRNA, Long NoncodingAnimalsGene Expression RegulationHumansRNA, Competitive EndogenousRNA InterferenceMicroRNAsRNA, Competitive EndogenousRNA, Long NoncodinglncRNAmiRNARNA–RNA interactionsSponges

Identifiers

What OpenQuestion holds

Textmetadata
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.