Dataset for the Intronic Signaling Pathways System (ISPS): Structural and Interaction-Based Analysis of Intronic RNA Across Inflammatory Genes

This dataset contains processed structural and interaction-based metrics supporting the study "Intronic RNA as organized regulatory platforms: a quantitative framework for the Intronic Signaling Pathways System (ISPS)". The dataset includes intron-level analyses across representative inflammatory genes (CRP, TNF, IL6, IL8, and IL1B), integrating RNA secondary structure prediction, transcription factor binding site (TFBS) identification, and RNA-binding protein (RBP) interaction profiling. Intronic sequences were computationally reconstructed into lariat-like configurations and analyzed using RNAfold for secondary structure prediction. TFBS were identified using FIMO with JASPAR databases, and RBP interactions were derived from ATtRACT, RBPDB, POSTAR3, and CISBP-RNA. Structural and interaction features were integrated to compute ISPS-derived metrics, including the Intronic Complexity Index (IICI). The dataset is organized by gene, with each folder containing processed intron-level metrics and interaction data. For IL8, RBP interaction data are provided as platform-specific outputs used to derive integrated interaction profiles described in the manuscript. These data support the identification of distinct intronic regulatory architectures, including monotonic, hierarchical, biphasic, and multimodal ISPS gradient profiles. All files are provided in processed formats to facilitate reproducibility and downstream analysis.本数据集包含经过预处理的结构类与基于相互作用的量化指标，用于支撑研究《内含子RNA作为有序调控平台：内含子信号通路系统（Intronic Signaling Pathways System, ISPS）的定量分析框架》。 本数据集涵盖针对代表性炎症基因（CRP、TNF、IL6、IL8及IL1B）的内含子水平分析，整合了RNA二级结构预测、转录因子结合位点（Transcription Factor Binding Site, TFBS）识别以及RNA结合蛋白（RNA-binding protein, RBP）相互作用谱分析。 研究人员通过计算手段将内含子序列重构为套索状构型，并使用RNAfold工具完成二级结构预测分析。转录因子结合位点的识别依托JASPAR数据库，通过FIMO工具实现；RNA结合蛋白相互作用数据则来源于ATtRACT、RBPDB、POSTAR3及CISBP-RNA数据库。整合结构与相互作用特征后，可计算得到源自ISPS的量化指标，其中包括内含子复杂度指数（Intronic Complexity Index, IICI）。 本数据集按基因进行分类组织，每个文件夹均包含预处理后的内含子水平指标与相互作用数据。针对IL8基因，其RNA结合蛋白相互作用数据以平台专属输出格式提供，用于推导论文中描述的整合相互作用谱。 这些数据可用于识别不同类型的内含子调控架构，包括单调型、层级型、双相型及多峰型ISPS梯度分布特征。 所有文件均以预处理格式提供，以保障研究可重复性与后续下游分析的便捷开展。