Author

N. Wan

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 2 Cell Biology· 2

Signature Assays, Organisms & Methods

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Research Focus:cell signaling & trafficking· 3 Research Focus:chromatin & epigenetic regulation· 3 Approach:experimental assay· 3 Organism:human· 3 Research Focus:cell type annotation· 2 Research Focus:protein folding & dynamics· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:differential expression· 1

Frequent Co-Authors

J. L. Korfhage· 2 shared K. Reinisch· 2 shared T. Melia· 2 shared A. Drake· 1 shared A. Kannan· 1 shared A. R. Thiam· 1 shared A. Sharma· 1 shared A. Tzou· 1 shared

Activity by Year

2018-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersCell Biology

J. L. Korfhage

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Spartin-mediated lipid transfer facilitates lipid droplet turnover

N. Wan, Z. Hong, M. A. Parson, J. L. Korfhage, J. E. Burke, T. Melia, K. Reinisch

This study identifies spartin as a lipid transfer protein essential for lipid droplet turnover via lipophagy, revealing a new lipid transport module in its senescence domain.

bioRxiv · Nov 29, 2023Cell Biology

ATG2A-mediated bridge-like lipid transport regulates lipid droplet accumulation

J. L. Korfhage, N. Wan, H. Elhan, L. Kauffman, M. J. Pineda, D. M. Fuller, A. R. Thiam, K. Reinisch, T. Melia

This study shows ATG2A uses bridge-like lipid transport to regulate lipid droplet accumulation by efficiently moving phospholipids between membranes.

bioRxiv · Aug 14, 2023Cell Biology

Chemoproteomics Maps Glycolytic Targetome in Cancer Cells

Y. Tian, N. Wan, M. Ding, C. Shao, N. Wang, Q. Bao, W. Lu, H. Hu, H. Sun, C. Yang, K. Zhou, S. Chen, G. Wang, H. Ye, H. Hao

This study maps the glycolytic targetome in cancer cells using TRAP, revealing 913 targets and 2,487 interactions for 10 glycolytic metabolites and their functional roles in cancer biology.

bioRxiv · Nov 18, 2020 · PreprintCancer Biology

Machine learning enables detection of early-stage colorectal cancer by whole-genome sequencing of plasma cell-free DNA

N. Wan, D. Weinberg, T.-y. Liu, K. Niehaus, D. Delubac, A. Kannan, B. White, E. Ariazi, M. Bailey, M. Bertin, N. Boley, D. Bowen, J. Cregg, A. Drake, R. Ennis, , I. S. Haque

This paper uses machine learning on whole-genome sequencing of plasma cell-free DNA to detect early-stage colorectal cancer with high sensitivity and specificity.

bioRxiv · Nov 24, 2018Cancer Biology