Evidence map›Paper›PMID 40322917›Full record

ArticleNucleic acids research2025

SIREs 3.0, an improved RNA prediction tool for iron-responsive elements.

Clara Suárez-Quintana, Mar Navarro-Padilla, Uciel Chorostecki, Mayka Sanchez

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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

4 authors.

Clara Suárez-QuintanaDepartment of Biomedicine, Iron metabolism: Regulation and Diseases Group, Universitat Internacional de Catalunya (UIC), Sant Cugat del Vallès 08195, Spain.ORCID 0009-0005-7300-957X
Mar Navarro-PadillaBloodGenetics S.L. Diagnostics in Inherited Blood Diseases, Esplugues de Llobregat 08950, Spain.
Uciel ChorosteckiDepartment of Biomedicine, Computational RNA Biology Group, Universitat Internacional de Catalunya (UIC), Sant Cugat del Vallès 08195, Spain.ORCID 0000-0003-2229-6853
Mayka SanchezDepartment of Biomedicine, Iron metabolism: Regulation and Diseases Group, Universitat Internacional de Catalunya (UIC), Sant Cugat del Vallès 08195, Spain.ORCID 0000-0002-6499-5989

Funding

INVESTIGO 200041TG2INVESTIGO 200056TC2MICINN PID2024-155866OB-I00/AEI/10.13039/501100011033/ERDFMICINN RYC2021-032641-IMICIU
6 · The paper itself

Abstract

Iron-responsive elements (IREs) are cis-acting regulatory RNA motifs that bind to iron regulatory proteins (IRP1 and IRP2), playing an essential role in the post-transcriptional regulation of genes involved in iron metabolism. Disruptions in this IRP/IRE regulatory system have been linked to several human diseases. SIREs (searching for IREs) is a web-server tool designed to predict IREs in nucleotide sequences. Here, we present SIREs 3.0 webserver, an improved new version built on a Flask-based framework, replacing the previous Perl backend to improve interconnectivity with other services. This upgrade introduces three novel input methods-batch, transcript, and gene modes-to cover researchers' needs, from large-scale analysis to single-gene queries. By integrating with NCBI and Ensembl APIs, SIREs 3.0 fetches genomic data to improve predictions with novel features, such as the location of the IREs in the transcript. Other novelties include novel IRE motifs based on in vivo verified data, broadening the scope of IRE detection. The scoring system has been refined with empirical data and enhanced graphical representations of predicted IREs have been added to the output. The interface is now more responsive and accessible across all devices. SIREs 3.0 can be accessed at: https://www.sires-webserver.eu.

Indexed as

IronResponse ElementsRNASoftwareHumansInternetIron Regulatory Protein 1Iron Regulatory Protein 2Iron-Regulatory ProteinsNucleotide MotifsIronIron Regulatory Protein 1Iron Regulatory Protein 2Iron-Regulatory ProteinsRNA

Identifiers

PMID40322917
PMCPMC12230718

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Registered trials

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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.