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Epigenetic Regulation

Epigenetic Regulation

Epigenetic mechanisms play an essential role in healthy development. Conversely, precisely regulated epigenetic mechanisms are disrupted in diseases like cancer.

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Related Experiment Video

Updated: May 30, 2025

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples

Published on: June 8, 2020

Comprehensive guide for epigenetics and transcriptomics data quality control.

Arianna Comendul¹, Frederique Ruf-Zamojski², Colby T Ford³

¹Lincoln Laboratory, Massachusetts Institute of Technology, Lexington, MA, USA.

|January 27, 2025

Summary

This summary is machine-generated.

This guide provides quality control metrics for epigenetics and transcriptomics assays. Implementing these standards improves data quality for discovering environmental exposure signatures.

Keywords:

Bioinformatics RNAseq Sequence analysis

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Last Updated: May 30, 2025

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples

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Published on: June 8, 2020

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Chromatin Immunoprecipitation of Murine Brown Adipose Tissue

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Published on: November 21, 2018

Area of Science:

Environmental health
Genomics
Molecular biology

Background:

Host responses to environmental exposures (pathogens, chemicals) involve epigenome and transcriptome modifications.
Advances in assaying techniques enable discovery of exposure signatures, including agent and timing.
Analyzing multi-assay, single-cell data from biospecimens is complex.

Purpose of the Study:

To establish rigorous quality control (QC) standards for epigenetics and transcriptomics assays.
To provide a comprehensive suite of QC metrics for 11 different assay types.
To improve benchwork protocols and dataset quality for accurate exposure signature discovery.

Main Methods:

Development of a comprehensive suite of quality control metrics.
Identification of quality assurance standards for underlying assays.
Provision of recommended mitigative actions for failed QC metrics.

Main Results:

A guide outlining QC metrics for 11 epigenetics and transcriptomics assays.
Mitigative actions to address failed metrics.
A workflow to enhance dataset quality.

Conclusions:

Standardized QC metrics are crucial for reliable epigenetics and transcriptomics data.
Improved data quality enables accurate identification of environmental exposure signatures.
This guide supports robust research in environmental health and molecular biology.