Author

L. Hai

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· 3

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:cancer & tumor microenvironment· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

M. Schlesner· 2 shared A. Dovas· 1 shared A. Mahajan· 1 shared A. Razavilar· 1 shared A.-H. Maag· 1 shared B. Pereira· 1 shared B. R. Stockwell· 1 shared C. Buske· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersCancer Biology

M. Schlesner

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Author profile →

3 papers

Recent·Most cited

Oncogenic RAS-Pathway Activation Drives Oncofetal Reprogramming and Creates Therapeutic Vulnerabilities in Juvenile Myelomonocytic Leukemia

M. Hartmann, M. Schoenung, J. Rajak, V. Maurer, L. Hai, K. Bauer, M. Hakobyan, S. Staeble, J. Langstein, L. Jardine, R. Roelz, S. Bohler, E. Khabirova, A.-H. Maag, D. Vonficht, , D. B. Lipka

This study identifies oncofetal reprogramming in juvenile myelomonocytic leukemia, linking RAS-pathway activation to fetal gene expression and revealing CD52 as a therapeutic target.

bioRxiv · Oct 27, 2023Cancer Biology

A cell state specific metabolic vulnerability to GPX4-dependent ferroptosis in glioblastoma

M. A. Banu, A. Dovas, M. G. Argenziano, W. Zhao, H. Cuervo, D. M. Higgins, C. P. Sperring, B. Pereira, L. F. Ye, A. Mahajan, N. Humala, J. L. Furnari, P. S. Upadhyayula, F. Zandkarimi, T. T. Nguyen, , P. D. Canoll

The paper identifies a metabolic vulnerability in specific glioma cell states that can be targeted with GPX4 inhibitors to induce ferroptosis.

bioRxiv · Feb 22, 2023Cancer Biology

A connectivity signature for glioblastoma

L. Hai, D. C. Hoffmann, H. Mandelbaum, R. Xie, J. Ito, E. Jung, S. Weil, P. Sievers, V. Venkataramani, D. D. Azorin, K. Ernst, D. Reibold, R. Will, M. L. Suva, C. Herold-Mende, , T. Kessler

This paper establishes and validates a connectivity signature in glioblastoma using scRNA-Seq data, showing high connectivity correlates with poor patient survival and specific molecular subtypes.

bioRxiv · Nov 7, 2021 · PreprintCancer Biology