Dataset for the Intronic Signaling Pathways System (ISPS): Structural and Interaction-Based Analysis of Intronic RNA Across Inflammatory Genes | Zenodo Skip to main Communities My dashboard Log in Sign up Published April 25, 2026 | Version v1 Dataset Open Dataset for the Intronic Signaling Pathways System (ISPS): Structural and Interaction-Based Analysis of Intronic RNA Across Inflammatory Genes Authors/Creators Lopez-Neblina, Fernando (Contact person) 1 Show affiliations 1.
Universidad Autonoma de Baja California Description This dataset provides an updated collection of RNA secondary structure predictions (RNAfold/Forna) for intronic sequences analyzed in the Intronic Signaling Pathways System (ISPS) framework. For each gene, intron-level structures are annotated with structural clusters and associated transcription factor (TF) binding profiles. The dataset includes visual mappings of intronic RNA folding alongside cluster-specific TF associations, supporting the structural-functional coupling and interaction gradients described in the ISPS model. These data complement the manuscript: “Intronic RNA as organized regulatory platforms: a quantitative framework for the Intronic Signaling Pathways System (ISPS)” and are provided to facilitate reproducibility and further exploration of intronic regulatory architectures. Files ISPS_Final_Dataset.zip Files (7.0 MB) Name Size Download all ISPS_Final_Dataset.zip md5:cdce57caab2b3e6e18ad7083a874ce0b 7.0 MB Preview Download Additional details Dates Updated 2026-04-26 Update dataset with RNAfold structures 10 Views 5 Downloads Show more details All versions This version Views Total views 10 10 Downloads Total downloads 5 5 Data volume Total data volume 35.0 MB 35.0 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Keywords and subjects Keywords Intronic RNA RNAfold Forna Transcription factor binding sites Intronic Signaling Pathways System Structural Clusters Gene regulation RNA-protein interactions Details DOI DOI Badge DOI 10.5281/zenodo.19765126 Markdown [](https://doi.org/10.5281/zenodo.19765126) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.19765126.svg :target: https://doi.org/10.5281/zenodo.19765126 HTML <a href="https://doi.org/10.5281/zenodo.19765126"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.19765126.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.19765126.svg Target URL https://doi.org/10.5281/zenodo.19765126 Resource type Dataset Publisher Zenodo Languages English Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Citation Export Technical metadata Created April 25, 2026 Modified April 25, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies