Author

P. Choudhry

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· 4 Cell Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 5 Approach:experimental assay· 4 Assay:proteomics· 4 Research Focus:drug response / drug discovery· 3 Approach:statistical model· 3 Approach:deep learning· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell signaling & trafficking· 1

Frequent Co-Authors

A. P. Wiita· 3 shared J. L. Wolf· 3 shared N. Shah· 3 shared S. W. Wong· 3 shared T. G. Martin· 3 shared Y.-H. T. Lin· 3 shared I. D. Ferguson· 2 shared M. Kampmann· 2 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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3 shared papersCancer Biology

A. P. Wiita

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Author profile →

5 papers

Recent·Most cited

Functional glycoproteomics by integrated network assembly and partitioning

M. E. Griffin, J. W. Thompson, Y. Xiao, M. J. Sweredoski, E. H. Jensen, Y. Koldobskaya, A. L. Schacht, T. D. Kim, P. Choudhry, B. Lomenick, S. D. Garbis, A. Moradian, L. C. Hsieh-Wilson

This paper introduces a systems-level approach to study O-GlcNAcylation by integrating AP-MS and chemoproteomics with network analysis, revealing both conserved and tissue-specific functions.

bioRxiv · Jun 13, 2023 · PreprintCell Biology

Functional multi-omics reveals genetic and pharmacologic regulation of surface CD38 in multiple myeloma

P. Choudhry, C. Kasap, B. Patino Escobar, O. Gugliemini, H. Geng, V. Sarin, A. Kang, A. Kishishita, S. Rampersaud, L. Sarah, Y.-H. T. Lin, N. Paranjape, P. Ramkumar, M. Marcoulis, D. Wang, , A. Wiita

This study uses multi-omics approaches to identify regulators of CD38 surface expression in multiple myeloma and assess the impact of therapies on CD38 levels and signaling.

bioRxiv · Aug 4, 2021 · PreprintCancer Biology

Defining the cell surface proteomic landscape of multiple myeloma reveals immunotherapeutic strategies and biomarkers of drug resistance

I. D. Ferguson, B. P. Escobar, S. T. Tuomivaara, Y.-H. T. Lin, M. A. Nix, K. K. Leung, M. Hale, P. Choudhry, A. Lopez-Girona, E. Ramos, S. W. Wong, J. L. Wolf, T. G. Martin, N. Shah, S. Vandenberg, , A. P. Wiita

This study defines the myeloma cell surface proteome, identifies therapeutic targets and resistance biomarkers, and presents a miniaturized surface proteomics protocol.

bioRxiv · Jan 17, 2021Cancer Biology

CRISPR-based screens uncover determinants of immunotherapy response in Multiple Myeloma

P. Ramkumar, A. B. Abarientos, R. Tian, M. Seyler, J. T. Leong, M. Chen, P. Choudhry, T. Hechler, N. Shah, S. W. Wong, T. G. Martin, J. L. Wolf, K. T. Roybal, A. Pahl, J. Taunton, , M. Kampmann

This study uses CRISPR screens to identify mechanisms increasing BCMA expression and enhancing anti-myeloma efficacy of BCMA-targeted therapies in multiple myeloma.

bioRxiv · Apr 14, 2020Cancer Biology

Proteasome inhibitor-induced modulation reveals the spliceosome as a specific therapeutic vulnerability in multiple myeloma

H. H.-L. Huang, I. D. Ferguson, A. M. Thornton, C. Y. T. Lam, Y.-H. T. Lin, P. Bastola, P. Choudhry, M. C. Mariano, M. D. Marcoulis, J. Malato, P. Phojanakong, T. G. Martin, J. L. Wolf, S. W. Wong, N. Shah, , A. P. Wiita

The paper shows proteasome inhibitors modulate splicing in multiple myeloma, revealing spliceosome inhibition as a therapeutic target.

bioRxiv · Feb 3, 2019Cancer Biology