Accumulating evidence suggests that the crosstalk between histone modification (HM) and DNA methylation (DM) may play important roles for establishing and maintaining the epigenomic landscape during development and disease. Conventionally, HM-DM crosstalk has been studied by examining HM and DM separately, using molecular assays such as ChIP-seq and whole- genome bisulfite sequencing (WGBS). These assays (in their conventional forms) require a large amount of sample input and are not practical with scarce primary samples from small lab animals and patients. This problem is particularly serious when multiple epigenomic marks are studied. In this project, we will develop novel microfluidic technology that permits low-input (1000 to single cells) sequential ChIP-MethylC treatment and examination of genome-wide HM- DM crosstalk using the same cell population. We will demonstrate the principle using H1 human embryonic stem cells (hESCs) and primary tissues (i.e. neuronal nuclei) isolated from frontal cortex of mouse brains. Our technology will pave the way for integrative analysis of multiple epigenomic marks based on scarce cell samples.

Public Health Relevance

We will develop novel microfluidic technology that permits low-input (1000 to single cells) sequential ChIP-MethylC treatment and examination of genome-wide histone modification-DNA methylation crosstalk using the same cell population. Such genomic tool will help understand epigenomic regulations during development and disease.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21HG009256-02
Application #
9357634
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Smith, Michael
Project Start
2016-09-23
Project End
2019-06-30
Budget Start
2017-07-01
Budget End
2018-06-30
Support Year
2
Fiscal Year
2017
Total Cost
Indirect Cost
Name
Virginia Polytechnic Institute and State University
Department
Engineering (All Types)
Type
Biomed Engr/Col Engr/Engr Sta
DUNS #
003137015
City
Blacksburg
State
VA
Country
United States
Zip Code
24061
Ma, Sai; de la Fuente Revenga, Mario; Sun, Zhixiong et al. (2018) Cell-type-specific brain methylomes profiled via ultralow-input microfluidics. Nat Biomed Eng 2:183-194
Sun, Chen; Lu, Chang (2018) Microfluidics-Based Chromosome Conformation Capture (3C) Technology for Examining Chromatin Organization with a Low Quantity of Cells. Anal Chem 90:3714-3719
Murphy, Travis W; Hsieh, Yuan-Pang; Ma, Sai et al. (2018) Microfluidic Low-Input Fluidized-Bed Enabled ChIP-seq Device for Automated and Parallel Analysis of Histone Modifications. Anal Chem 90:7666-7674
Ma, Sai; Hsieh, Yuan-Pang; Ma, Jian et al. (2018) Low-input and multiplexed microfluidic assay reveals epigenomic variation across cerebellum and prefrontal cortex. Sci Adv 4:eaar8187
Ma, Sai; Murphy, Travis W; Lu, Chang (2017) Microfluidics for genome-wide studies involving next generation sequencing. Biomicrofluidics 11:021501
Murphy, Travis W; Zhang, Qiang; Naler, Lynette B et al. (2017) Recent advances in the use of microfluidic technologies for single cell analysis. Analyst 143:60-80