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Virginia Tech

Microfluidics for Low Input Epigenomic Analysis and Its Application to Brain Neuroscience

Abstract

dc:description.abstract

The epigenome carries dynamic information that controls gene expression and maintains cell identity during both disease and normal development. The inherent plasticity of the epigenome paves new avenues for developing diagnostic and therapeutic tools for human diseases. Microfluidic technology has improved the sensitivity and resolution of epigenomic analysis due to its outstanding ability to manipulate nanoliter-scale liquid volumes. In this thesis, I report three projects focusing on low-input, cell-type-specific and spatially resolved histone modification profiling on microfluidic platforms. First, I applied Microfluidic Oscillatory Washing-based Chromatin Immunoprecipitation followed by sequencing (MOWChIP-seq) to study the effect of culture dimensionality, hypoxia stress and bacterium infection on histone modification landscapes of brain tumor cells. I identified differentially marked regions between different culture conditions. Second, I adapted indexed ChIPmentation and introduced mu-CM, a low-input microfluidic device capable of performing 8 assays in parallel on different histone marks using as few as 20 cells in less than 7 hours. Last, I investigated the spatially resolved epigenome and transcriptome of neuronal and glial cells from coronal sections of adult mouse neocortex. I applied unsupervised clustering to identify distinct spatial patterns in neocortex epigenome and transcriptome that were associated with central nervous system development. I demonstrated that our method is well suited for scarce samples, such as biopsy samples from patients in the context of precision medicine.

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy
Level thesis:degree_level
doctoral
Discipline thesis:degree_discipline
Chemical Engineering
Department dc:contributor.department
Chemical Engineering
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2021

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Deng, Chengyu
Chair dc:contributor.committeechair
  • Lu, Chang
Committee members dc:contributor.committeemember
  • Goldstein, Aaron S.
  • Davalos, Rafael V.
  • Tong, Rong

Subjects

dc:subject × 4

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:28539
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/101765

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Deng, Chengyu. Microfluidics for Low Input Epigenomic Analysis and Its Application to Brain Neuroscience. doctoral thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/101765