Chen Lab
Welcome to Chen Lab at China Agricultural University.
We are interested in applying statistical or machine-learning methods in genetic and epigenetic studies. Currently, We mainly focus on
1) developing novel statistical methods to analyze and explore multi-omic data including single-cell omics data, as well as
2) using molecular biology, genomics, and bioinformatics methods to explore gene regulation networks in early embryo development.
News
- 2024.12. Chen lab officially launched.
- 2024.12. Welcome Zijun Cheng to join the lab!
Members

Zijun Cheng
Research assistant
M.Phil. Student, SAU. (2021.9-2024.6)

Haochen Zhong
Co-mentor students
B.Sc., Tsinghua U. (2021.9-)
Previous Works
Peer-reviewed papers
- ZGA regulators -
![]() | OBOX regulates murine zygotic genome activation and early development Nature, 2023 [Paper] |
![]() | Maternal TDP-43 interacts with RNA Pol II and regulates zygotic genome activation Nature communications, 2023 [Paper] |
- 3D genome methods -
![]() | HiCDB: a sensitive and robust method for detecting contact domain boundaries |
- 3D genome in differention and disease -
![]() | MyoD is a 3D genome structure organizer for muscle cell identity Nature communications, 2022 [Paper] |
![]() | 3D genome alterations associated with dysregulated HOXA13 expression in high-risk T-lineage acute lymphoblastic leukemia. Nature communications, 2021 [Paper] |