Author

P. van Galen

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 Immunology· 2

Signature Assays, Organisms & Methods

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Organism:human· 4 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:differential expression· 1

Frequent Co-Authors

A. A. Lane· 2 shared M. Ainciburu· 2 shared A. G. X. Zeng· 1 shared A. K. Shalek· 1 shared A. Mitchell· 1 shared A. Tierens· 1 shared C. A. G. Booth· 1 shared C. Couturier· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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2 shared papersCancer Biology

A. A. Lane

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Targetable leukemia dependency on noncanonical PI3Kγ signaling

Q. Luo, E. G. Raulston, M. A. Prado, X. Wu, K. Gritsman, C. A. G. Booth, R. Xu, P. van Galen, J. G. Doench, S. Shimony, H. W. Long, D. S. Neuberg, J. A. Paulo, A. A. Lane

This study identifies a targetable dependency on noncanonical PI3Kγ signaling in acute leukemias, showing that PI3Kγ inhibition with eganelisib improves survival when combined with cytarabine.

bioRxiv · Dec 15, 2023 · PreprintCancer Biology

WAT3R: Recovery of T-Cell Receptor Variable Regions From 3' Single-Cell RNA-Sequencing

M. Ainciburu, D. M. Morgan, E. A. K. DePasquale, J. C. Love, F. Prosper, P. van Galen

WAT3R recovers T-cell receptor variable regions from 3' scRNA-seq data, enabling T-cell clonotype reconstruction and analysis of TCR sequences in single cells.

bioRxiv · Jan 26, 2022Immunology

A cellular hierarchy framework for understanding heterogeneity and predicting drug response in AML

A. G. X. Zeng, S. Bansal, L. Jin, A. Mitchell, W. C. Chen, H. A. Abbas, M. Chan-Seng-Yue, V. Voisin, P. van Galen, A. Tierens, M. Cheok, C. Preudhomme, H. Dombret, N. Daver, P. A. Futreal, , J. E. Dick

This study identifies a cellular hierarchy framework in AML that links disease heterogeneity with drug response and develops a 7-gene biomarker predictive of drug sensitivity.

bioRxiv · Jan 25, 2022Cancer Biology

Single-cell Multiomics Reveals Clonal T-cell Expansions and Exhaustion in Blastic Plasmacytoid Dendritic Cell Neoplasm

E. A. DePasquale, D. Ssozi, M. Ainciburu, J. Good, J. Noel, M. Villanueva, C. Couturier, A. K. Shalek, S. F. Aranki, H. R. Mallidi, G. K. Griffin, A. A. Lane, P. van Galen

This study uses single-cell multiomics to analyze T-cell responses in BPDCN, finding upregulated IFNA and downregulated TNFA pathways, along with T-cell exhaustion and clonotype expansion.

bioRxiv · Dec 1, 2021Immunology