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Epigenomics Services

Neorabio provides epigenomics services designed to support systematic investigation of regulatory mechanisms that control gene expression beyond DNA sequence variation. Early integrative studies demonstrated that chromatin organization, histone modifications, and DNA methylation constitute a coordinated regulatory layer governing transcriptional programs, cell identity, and developmental potential, as articulated in foundational analyses of the mammalian epigenome by Bernstein et al. (2007). Subsequent large-scale mapping efforts further established epigenomic profiling as an essential approach for understanding how cellular states and environmental cues shape regulatory landscapes, positioning epigenomics as a core component of modern functional genomics research.

About Service

Neorabio's epigenomics services are built on an integrated platform that combines standardized experimental workflows with reproducible computational analysis. Depending on research objectives, assays targeting chromatin accessibility, histone modification patterns, or DNA methylation are applied, with experimental procedures emphasizing sample quality assessment, protocol optimization, and batch-to-batch consistency. In data processing and interpretation, Neorabio follows analytical principles consistent with large-scale reference epigenome studies, in which signal normalization, peak or region definition, and cross-sample comparability are treated as interdependent factors influencing biological interpretability.

Our Scope

● Chromatin Accessibility Profiling
● Identification of open chromatin regions associated with regulatory activity
● Histone Modification Profiling
● Genome-wide mapping of histone marks linked to transcriptional regulation
● DNA Methylation Analysis
● Quantitative assessment of methylation patterns across regulatory regions or genomes

Applications

● Analysis of regulatory elements controlling gene expression
● Characterization of chromatin states across cell types or conditions
● Investigation of epigenetic mechanisms underlying development and differentiation
● Identification of disease-associated regulatory alterations
● Integration of epigenomic data with transcriptomic and genomic analyses

Workflow

Exploratory Consultation → Regulatory Question & Assay Selection → Epigenomic Profiling & Data QC → Peak / Region Identification & Signal Analysis → Regulatory Interpretation & Integration → Final Report Delivery & Scientific Review

References

Bernstein, B. E., et al. The mammalian epigenome. Cell, 2007, 128(4): 669–681. DOI: 10.1016/j.cell.2007.01.033
Kundaje, A., et al. Integrative analysis of 111 reference human epigenomes. Nature, 2015, 518(7539): 317–330. DOI: 10.1038/nature14248
Landt, S. G., et al. ChIP-seq guidelines and practices of the ENCODE and modENCODE consortia. Genome Research, 2012, 22(9): 1813–1831. DOI: 10.1101/gr.136184.111
Rakyan, V. K., et al. Epigenome-wide association studies for common human diseases. Nature Reviews Genetics, 2011, 12(8): 529–541. DOI: 10.1038/nrg3000

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Project execution at Neorabio emphasizes data traceability, reproducibility, and transparent reporting across experimental and analytical stages. To support robust identification of regulatory features, analytical outputs are generated using peak-calling and signal quantification strategies that have been systematically evaluated in chromatin accessibility and histone modification studies, including comparative assessments of regulatory signal detection. In parallel, DNA methylation profiles are interpreted using region-based analytical concepts widely applied in epigenome-wide association studies, as formalized in methodological frameworks.

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