Decoding Chromatin Responses to Metabolic Perturbation through Multi-Omics Integration

All cells in an organism share the same genetic blueprint, yet exhibit diverse identities and functions, ultimately culminating in a functional tissue system and, finally, an organism. What makes this remarkable phenomenon possible is, to a great extent, dictated by epigenetics: the chemical marks that decorate not only the genetic material but also its closely associated proteins, namely the histones. These modifications on chromatin modulate its dynamic structure and thereby influence gene expression programs that define cellular function.

This project aims to understand how metabolic changes influence chromatin organization and gene regulation. Notably, many of the substrates required for the deposition of epigenetic marks are derived directly from intracellular metabolic pathways. This intimate connection between metabolome and epigenome suggests that fluctuations in metabolite availability can have profound effects on chromatin organization and gene regulation.

We will analyze and integrate multi-omics datasets generated in the lab, including RNA-seq, ATAC-seq, ChIP-seq, and emerging single-cell multiome data. The goal is to connect these complementary datasets to build a coherent view of how chromatin structure and gene regulation respond to metabolic perturbations. The project combines computational analysis with biological interpretation to uncover regulatory mechanisms governing chromatin dynamics.

Process and analyze RNA-seq, ATAC-seq, and ChIP-seq and single-cell multiome data.

Perform integrative multi-omics analysis

Identify regulatory elements and gene expression changes

Contribute to chromatin state modeling under perturbation

Present findings in internal reports or presentations