2026-10-12T04:56:08Z https://www.scidb.cn/oai

10.57760/sciencedb.jwxb.00006 2026-03-11T10:52:46Z

2026-03-11 Exploring the intrinsic mechanisms of Omphalia lapidescens sclerotium in treating epilepsy based on multi-omics mendelian randomization and bioinformatics methods doi:10.57760/sciencedb.jwxb.00006 en Covering the results of multi omics Mendelian randomization analysis of public data on epilepsy, as well as microarray data analysis. The specific content is as follows: Table 1-S1-TCMSP database shows the screened active ingredients and corresponding targets of Lei Wan; Appendix 1-S2- Selected eQTL Data (cis expression quantitative trait locus data from 5311 peripheral blood samples of individuals with European ancestry); Appendix 1-S3- pQTL data after screening (this study conducted a genome-wide association study on plasma protein levels in 35559 Icelandic individuals, using 4907 aptamers for measurement); Appendix 1-S4- Effective Results of IVW Method for MR Analysis of eQTL and pQTL Data with Two Epilepsy GWAS Data (pval<0.05); Table 1-S5-2 Differential expression analysis results of microarray datasets and their merged microarray datasets (this study was conducted from GEO database)（ https://www.ncbi.nlm.nih.gov/geo/ ）Barrett et al. (2013) obtained two independent epilepsy related microarray datasets. The GSE143272 data is sourced from the research conducted by the Erin L Heinzen team; The GSE31718 data was submitted by Hsin Y et al. and includes 30968 annotated human gene expression profiles from 10 patient brain samples. ）； Attachment 1-S6-GO/KEGG Enrichment Analysis; Appendix 1-MR Results of Regulating Intestinal Microbiota with S7-RORA and PTGS2.  Omphalia lapidescens; epilepsy; bioinformatics; Mendelian randomization; therapeutic target and mechanism Hu Hongyan Sun Meng Chen Wang Zhai PUBLIC https://creativecommons.org/licenses/by-nc-sa/4.0/ dataset Science Data Bank