RNA-Seq count matrix and metadata for periadrenal adipose tissue from ACS and NFAT patients

This dataset contains gene-level RNA-Seq count data and corresponding sample metadata from periadrenal adipose tissue of 14 patients with autonomous cortisol secretion (ACS; labeled as CPA in the dataset) and 6 patients with non-functioning adrenal tumor (NFAT). Sample and experiment Species: Human Groups: ACS (labeled as CPA in the files, n=14), NFAT (n=6) Tissue: Periadrenal adipose tissue RNA quality: Measured using NanoDrop 2000 (Thermo Fisher Scientific) and Bioanalyzer RNA 6000 pico kit (Agilent Technologies) Library preparation: 100ng total RNA per sample, rRNA depletion using NEBNext rRNA Depletion Kit (Human/Mouse/Rat, New England BioLabs), library construction using NEBNext Ultra II Directional RNA Library Prep Kit for Illumina (New England BioLabs) Library QC: Bioanalyzer DNA-sensitivity kit (Agilent Technologies) Sequencing: Illumina NextSeq 500, High-output kit v2, 2x36bp paired-end Data processing FastQ files merged using Linux cat command Data imported into CLC Genomic Workbench v10.1.1 as paired-end reads Mapping: Reference genome hg19, 57,775 genes Quantification: Raw gene-level counts (no normalization) File contents countdata.csv: Rows = genes, Columns = samples, Values = raw integer counts metadata.csv: For each sample, the group is indicated as “CPA” (corresponding to ACS) or “NFAT”, along with sex and age The RNA extraction, library preparation, sequencing, and primary data processing (including quality control, mapping, and quantification) were outsourced to Kyushu Pro Search Limited Liability Partnership.