Evidence map›Paper›PMID 41243950›Full record

ArticleNucleic acids research2026

SIGNOR 4.0: the 2025 update with focus on phosphorylation data.

Prisca Lo Surdo, Marta Iannuccelli, Klas Karis, Eleonora Meo, Parnian Omidi, Marta Tosoni, Simone Graziosi, Simona Panni, Maria Teresa Fiorillo, Luana Licata and 3 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  4. Review
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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

13 authors.

Prisca Lo SurdoDepartment of Biology and Biotechnologies "Charles Darwin", Laboratory affiliated to Istituto Pasteur Italia-Fondazione Cenci Bolognetti, La Sapienza University of Rome, Rome 00185, Italy.
Marta IannuccelliDepartment of Biology, University of Rome Tor Vergata, Rome 00133, Italy.
Klas KarisKhoury College of Computer Sciences, Northeastern University, Boston, MA 02115, United States.
Eleonora MeoDepartment of Biology, University of Rome Tor Vergata, Rome 00133, Italy.
Parnian OmidiDepartment of Biology, University of Rome Tor Vergata, Rome 00133, Italy.
Marta TosoniDepartment of Biology, University of Rome Tor Vergata, Rome 00133, Italy.
Simone GraziosiDepartment of Biology, University of Rome Tor Vergata, Rome 00133, Italy.
Simona PanniDiBEST Department, University of Calabria, 87036 Rende, Italy.
Maria Teresa FiorilloDepartment of Biology and Biotechnologies "Charles Darwin", La Sapienza University of Rome, Rome 00185, Italy.
Luana LicataDepartment of Biology, University of Rome Tor Vergata, Rome 00133, Italy.
Francesca SaccoDepartment of Biology, University of Rome Tor Vergata, Rome 00133, Italy.
Benjamin M GyoriKhoury College of Computer Sciences, Northeastern University, Boston, MA 02115, United States.
Livia PerfettoDepartment of Biology and Biotechnologies "Charles Darwin", Laboratory affiliated to Istituto Pasteur Italia-Fondazione Cenci Bolognetti, La Sapienza University of Rome, Rome 00185, Italy.ORCID 0000-0003-4392-8725

Funding

Ceschina FoundationEuropean Union-NextGenerationEU P2022JRETWItalian Association for Cancer Research 28858Sapienza University of Rome B83C25000880005University of Rome Tor Vergata
6 · The paper itself

Abstract

The SIGnaling Network Open Resource (SIGNOR 4.0, https://signor.uniroma2.it) is a database of manually curated causal interactions between biological entities. These signaling events are annotated along with their effect-denoting the activation or inactivation of a target entity-and mechanism through which it is mediated, such as phosphorylation, binding, or transcriptional regulation. The data is freely accessible and can be explored as customizable signaling networks, allowing users to adapt them for different modeling purposes. In our latest update (version 4.0), we improved our curation interface to include additional data-validation tools, integrated text-mining-assisted curation, increased our curation content, and expanded the scope of our curation efforts, with a particular emphasis on phosphorylation data. Furthermore, we developed a subdomain of SIGNOR, PhosphoSIGNOR, a dedicated user interface designed to enable targeted access to phosphorylation-specific information and network visualization. This expanded dataset allows for a more comprehensive mapping of signaling alterations and their associations with dysregulated cellular processes. The platform enables users to dynamically query phosphosite-specific data, examine context-dependent modifications, and integrate findings with known regulatory mechanisms. The PhosphoSIGNOR section of SIGNOR serves as an essential resource for cancer systems biology, offering an intuitive interface for hypothesis generation and mechanistic insights.

Indexed as

Signal TransductionSoftwareData MiningHumansPhosphorylationUser-Computer Interface

Identifiers

PMID41243950
PMCPMC12807704

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.