Etelcalcetide Restores Cardiac Function in Chronic Hyperphosphatemia via CaSR–cAMP Activation

This dataset contains bulk RNA sequencing (RNA-seq) data from cardiac ventricular tissue of male C57BL/6N mice (Charles River Laboratories, Germany) subjected to a chronic high-phosphate dietary intervention with and without etelcalcetide treatment. Eight-week-old mice were fed either a normal phosphate diet (NPD, 0.8% phosphate; n=2) or a high-phosphate diet (HPD, 2.0% phosphate; n=3) for six months. A subset of HPD-fed mice received concomitant etelcalcetide treatment (HPD+Etel, 1 mg/kg/day via osmotic mini pump; n=3) starting at month 4. All animal experiments were performed at Medical School Hannover, Germany. Hearts were harvested after six months and total RNA was extracted for sequencing.Library preparation was performed using the NEBNext® Poly(A) mRNA Magnetic Isolation Module (E7490L) and NEBNext® Ultra II Directional RNA Library Prep Kit for Illumina (E7760L; New England Biolabs), following the manufacturer's protocol (User Manual E7760, Version 1.0_02-2017) with minor modifications. Libraries were barcoded using NEBNext Multiplex Oligos for Illumina – 96 Unique Dual Index Primer Pairs (6440S; NEB) and amplified with 7 PCR cycles. Library quality was assessed by Bioanalyzer High Sensitivity DNA Assay (5067-4626; Agilent Technologies) and quantified using Qubit® dsDNA HS Assay Kit (Q32854; ThermoFisher Scientific). Sequencing was performed on an Illumina NextSeq 550 instrument (High Output flowcell, 400M clusters; paired-end 38 bp reads) at Medical School Hannover, Germany. BCL files were converted to FASTQ format using bcl2fastq v2.20.0.422 (Illumina).Raw data processing, adapter trimming, alignment to the mouse reference genome (GRCm38.p6, GENCODE release M25), and quality control were performed using the nf-core/rnaseq pipeline (version 1.4.2) implemented in Nextflow. Read quantification was performed using featureCounts (Galaxy). Normalization and differential expression analysis were conducted with DESeq2 (Galaxy Tool Version 2.11.40.2) using default settings.Data format: Raw gene-level read counts are provided as tab-separated text files (.txt) per sample and as a merged comma-separated matrix (counts_matrix.csv; rows = Ensembl gene IDs [GRCm38], columns = samples). Units: Integer raw read counts (unnormalized).