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Updated: May 2, 2026

Profiling of Estrogen-regulated MicroRNAs in Breast Cancer Cells
Published on: February 21, 2014
乳がん細胞株参照サンプルのエピゲノム、トランスクリプトーム、プロテオーム特性評価
Chirag Nepal1, Wanqiu Chen1, Zhong Chen1
1Center for Genomics, School of Medicine, Loma Linda University, Loma Linda, CA 92350, USA; Department of Basic Sciences, School of Medicine, Loma Linda University, Loma Linda, CA 92350, USA.
Abstract:
Next-generation sequencing requires accuracy, reproducibility, and standardized reference materials. The Sequencing Quality Control (SEQC-2) multicenter studies on paired breast cancer and B cell lines generated extensive genomic datasets, but integrated epigenomic and proteomic references remain limited. Here, we performed Assay for Transposase-Accessible Chromatin using sequencing (ATAC-seq), Methyl-seq, RNA sequencing (RNA-seq), and proteomic profiling to establish comprehensive multi-omics reference materials. We identified >7,700 protein groups, with 95% of genes encoding a single peptide isoform. Protein expression from CpG island (CGI)-overlapping transcripts was higher than non-CGI transcripts in both cell lines. Certain SNVs were incorporated into mutated peptides. Chromatin accessibility was regulated by CG density: CG-rich regions showed lower methylation, greater accessibility, and higher gene/protein expression, whereas CG-poor regions exhibited higher methylation, reduced accessibility, and cell line-specific expression patterns. These datasets provide well-defined genomic, epigenomic, transcriptomic, and proteomic characterizations that can serve as benchmarks for validating omics assays and bioinformatics methods, offering a valuable community resource.

