biostudies-arrayexpressTao ZhouMus musculushttps://www.ebi.ac.uk/biostudies/studies/E-MTAB-16423RNA-Seq analyses were performed on GC-1 cells transfected with si-NC (control), si-Senp8, or si-Stat1, to study the regulatory networks between Senp8 and Stat1.biostudies-arrayexpressSequencing - Preliminary quantification was conducted using a Qubit 2.0 Fluorometer, followed by accurate determination of the libraries' effective concentration via RT-qPCR. After successful library validation, the different libraries were pooled based on their effective concentrations and the required data volume for downstream Illumina sequencing.Library Construction - These mRNAs were then randomly fragmented using divalent cations in a specified buffer, and library construction was performed following the NEB standard library construction protocol.Nucleic Acid Extraction - The RNA extracted from the cells was initially subjected to quality control. mRNAs with poly(A) tails were enriched using oligo(dT) magnetic beads.Sample Collection - The cells (mouse GC-1) were maintained in Dulbecco’s Modified Eagle Medium and Nutrient Mixture F-12 (DMEM/F-12; Gibco, USA), supplemented with 10% fetal bovine serum (FBS;ScienCell, USA), and 1% penicillin-streptomycin solution (NCM Biotech, China).OrganizationMINSEQE ScoreAssays and DataProcessed DataMAGE-TAB FilesData Transformation - The DESeq2 package was used to normalize the raw expression counts, filter low expressed genes, and calculate the deferentially expressed genes between different groups at the transcriptome level. The original p - values were further corrected using the Benjamini and Hochberg (BH) method. Differentially expressed genes were defined based on a fold change > 1.5 and a false discovery rate (FDR) < 0.05.MetabolomicsUnknownTranscriptomicsGenomicsProteomicsIllumina NovaSeq 6000RNA-seq of total RNAMus musculusTao ZhoufalseBulk RNA-Seq of GC-1 cells transfected with si-NC, si-Senp8, or si-Stat1RNA-Seq analyses were performed on GC-1 cells transfected with si-NC (control), si-Senp8, or si-Stat1, to study the regulatory networks between Senp8 and Stat1.2025-12-25T00:00:00Z2026-05-30T15:29:14.802Z2025-12-18T18:53:31.152ZE-MTAB-16423ERP186785EFO_0002944EFO_0004170EFO_0009653EFO_0005518EFO_0003816EFO_0004184