Author

A. J. Patel

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· 5 Cell Biology· 2

Signature Assays, Organisms & Methods

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Organism:human· 7 Assay:bulk RNA-seq· 4 Approach:experimental assay· 4 Research Focus:cell type annotation· 3 Research Focus:differential expression· 3 Approach:statistical model· 3 Research Focus:cancer & tumor microenvironment· 2 Research Focus:cell-cell communication· 2

Frequent Co-Authors

B. Antonny· 2 shared C. J. Lee· 2 shared C. R. Antonescu· 2 shared D. Kovacs· 2 shared D. Zheng· 2 shared E. Giff· 2 shared E. W. P. Wong· 2 shared J. Yan· 2 shared

Activity by Year

2019-2024 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersCell Biology

B. Antonny

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Author profile →

7 papers

Recent·Most cited

Meningioma transcriptomic landscape demonstrates novel subtypes with regional associated biology and patient outcome.

H. N. Thirimanne, D. A. Bonnin, N. Nuechterlein, S. Arora, M. Jensen, C. A. Parada, C. Qiu, F. Szulzewsky, C. W. English, W. C. Chen, P. Sievers, F. Nassiri, J. Z. Wang, T. J. Klisch, K. D. Aldape, , E. C. Holland

This study combines bulk RNA-Seq datasets to create a transcriptomic landscape of meningiomas, identifies subtypes with distinct biology and prognosis, and provides an interactive tool for outcome prediction.

bioRxiv · Feb 23, 2024Cancer Biology

Single-cell multi-omic analysis of the vestibular schwannoma ecosystem uncovers a nerve injury-like state

T. F. Barrett, B. Patel, S. M. Khan, A. K. Y. Yim, S. Pugazenthi, T. Mahlokozera, R. D. Z. Mullins, G. J. Zipfel, J. A. Herzog, M. R. Chicoine, C. C. Wick, N. Durakovic, J. W. Osbun, M. Shew, A. D. Sweeney, , A. H. Kim

The paper analyzes single-cell multi-omic data from vestibular schwannomas to identify a nerve injury-like state in tumor-associated Schwann cells linked to myeloid cell recruitment and tumor growth.

bioRxiv · Nov 18, 2022Cancer Biology

PRC2 Inactivating Mutations in Cancer are Synthetic Lethal with DNMT1 Targeted Therapy via Enhanced Viral Mimicry

A. J. Patel, S. Warda, J. L. V. Maag, R. Misra, M. A. Miranda-Roman, M. R. Pachai, C. J. Lee, D. Li, N. Wang, G. Bayshtok, Y. Meng, E. W. P. Wong, J. Yan, E. Giff, M. B. Pappalardi, , P. Chi

This paper identifies synthetic lethality between PRC2 inactivation and DNMT1 inhibition in MPNST, showing enhanced cytotoxicity through retrotransposon activation and innate immune signaling.

bioRxiv · May 28, 2022 · PreprintCancer Biology

Tumor-intrinsic PRC2 inactivation drives a context-dependent immune-desert tumor microenvironment and confers resistance to immunotherapy

J. Yan, Y. Chen, A. J. Patel, S. Warda, B. G. Nixon, E. W. P. Wong, M. A. Miranda-Roman, C. J. Lee, N. Yang, Y. Wang, J. Sher, E. Giff, F. Tang, E. Khurana, S. Singer, , P. Chi

This study shows that PRC2 inactivation in tumors creates an immune-desert microenvironment, leading to resistance to immunotherapy and suggests strategies to reverse this effect.

bioRxiv · May 27, 2022 · PreprintCancer Biology

OSBP-mediated cholesterol transfer determines epithelial polarity and associated cargo secretion

D. Kovacs, A.-S. Gay, L. Fleuriot, D. Debayle, A. R. Dias Araujo, A. J. Patel, B. Mesmin, F. Luton, B. Antonny

This study shows OSBP-mediated cholesterol transfer is essential for epithelial polarity and cargo secretion, with OSBP inhibition disrupting apico-basal polarity and E-cadherin secretion.

bioRxiv · Dec 9, 2021 · PreprintCell Biology

A comprehensive library of fluorescent constructs of SARS-CoV-2 proteins and their initial characterization in different cell types

S. Miserey-Lenkei, K. Trajkovic, J. M. D'Ambrosio, A. J. Patel, A. Copic, P. Mathur, K. Schauer, b. Goud, V. Albanese, R. Gautier, M. Subra, D. Kovacs, H. Barelli, B. Antonny

The paper presents a library of fluorescent SARS-CoV-2 protein constructs and their initial characterization in human cell lines and yeast.

bioRxiv · Dec 19, 2020Cell Biology

Molecular profiling predicts meningioma recurrence and reveals loss of DREAM complex repression in aggressive tumors

A. J. Patel, Y.-W. Wan, R. Al-Ouran, J.-P. Revelli, M. F. Cardenas, M. Oneissi, L. Xi, A. Jalali, J. Magnotti, D. M. Muzny, H. Doddapaneni, S. Sebastian, K. A. Heck, J. C. Goodman, S. P. Gopinath, , T. J. Klisch

This study identifies three molecular types of meningiomas that better predict recurrence than WHO grading and links aggressive tumors to loss of DREAM complex repression.

bioRxiv · Sep 10, 2019Cancer Biology