Translational Opportunities for Microfluidic Technologies to Enable Precision Epigenomics.
Yi XuSteven R DoonanTamas OrdogRyan C BaileyPublished in: Analytical chemistry (2020)
Personalizing health care by taking genetic, environmental, and lifestyle factors into account is central to modern medicine. The crucial and pervasive roles epigenetic factors play in shaping gene-environment interactions are now well recognized. However, identifying robust epigenetic biomarkers and translating them to clinical tests has been difficult due in part to limitations of available platforms to detect epigenetic features genome-wide (epigenomic assays). This Feature introduces several important prospects for precision epigenomics, highlights capabilities and limitations of current laboratory technologies, and emphasizes opportunities for microfluidic tools to facilitate translation of epigenetic analyses to the clinic, with a particular focus on methods to profile gene-associated histone modifications and their impacts on chromatin structure and gene expression.
Keyphrases
- dna methylation
- genome wide
- gene expression
- copy number
- high throughput
- healthcare
- single cell
- circulating tumor cells
- metabolic syndrome
- primary care
- machine learning
- cardiovascular disease
- risk assessment
- deep learning
- type diabetes
- weight loss
- human health
- oxidative stress
- climate change
- affordable care act
- neural network