Author
N. Du
Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
Biology Disciplines
Click to filter author papersSignature Assays, Organisms & Methods
Click to filter · or open tagActivity by Year
2018-2023 · peak 2/yrCo-Author Collaboration Network
10 top collaborators · 36 mutual co-author links5 papers
Recent·Most cited
Bcl-xL is translocated to the nucleus via CtBP2 to epigenetically promote metastasis
T. Zhang, S. Li, A. Y. Tan, J. Na, Z. Chen, P. Damle, X. Chen, S. Choi, B. Mishra, D. Wang, S. R. Grossman, X. Jiang, Y. Li, Y.-T. Chen, J. Z. Xiang, N. Du
This study identifies CtBP2 as a mediator of Bcl-xL nuclear translocation, which promotes metastasis by enhancing H3K4me3 and TGFβ transcription.
bioRxiv · Apr 26, 2023Cancer Biology
Discovery of a SARS-CoV-2 Broadly-Acting Neutralizing Antibody with Activity against Omicron and Omicron + R346K Variants
J. A. Duty, T. A. Kraus, H. Zhou, Y. Zhang, N. Shaabani, S. Yildiz, N. Du, A. Singh, L. Miorin, D. Li, K. Stegman, S. I. Ophir, X. Cao, K. Atanasoff, R. Lim, , R. Allen
This paper identifies a broadly neutralizing antibody, STI-9167, effective against SARS-CoV-2 variants including Omicron and Omicron + R346K, and describes its development for clinical trials.
bioRxiv · Jan 19, 2022 · PreprintMicrobiology
Discovery and Development of Human SARS-CoV-2 Neutralizing Antibodies using an Unbiased Phage Display Library Approach
X. Cao, J. Maruyama, H. Zhou, L. Kerwin, R. Sattler, J. T. Manning, S. Johnson, S. Richards, Y. Li, W. Shen, B. Blair, N. Du, K. Morais, K. Lawrence, L. Lu, , R. D. Allen
This study identifies and develops human SARS-CoV-2 neutralizing antibodies using a phage display library, showing their efficacy in vivo against the virus.
bioRxiv · Sep 27, 2020 · PreprintMicrobiology
AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation
W. Zhu, Y. Huang, H. Tang, Z. Qian, N. Du, W. Fan, X. Xie
AnatomyNet is a 3D squeeze-and-excitation U-Net for fast and automated whole-volume head and neck anatomical segmentation, achieving improved Dice similarity coefficients over existing methods.
bioRxiv · Aug 16, 2018 · PreprintBioengineering