Author

J. A. Chan

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· 7

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 6 Approach:experimental assay· 5 Organism:human· 5 Assay:bulk RNA-seq· 3 Research Focus:cancer & tumor microenvironment· 3 Research Focus:differential expression· 3 Research Focus:gene regulatory network inference· 3 Organism:mouse· 3

Frequent Co-Authors

M. A. Marra· 3 shared A. Nikolic· 2 shared D. L. Senger· 2 shared D. L. Trinh· 2 shared F. J. Coutinho· 2 shared F. M. Cavalli· 2 shared J. G. Cairncross· 2 shared M. D. Blough· 2 shared

Activity by Year

2018-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersCancer Biology

M. A. Marra

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7 papers

Recent·Most cited

Spatiotemporal modeling reveals high-resolution invasion states in glioblastoma

V. Thoppey Manoharan, A. Abdelkareem, S. Brown, A. Gillmor, C. Hall, H. Seo, K. Narta, S. Grewal, N. H. Dang, B. Y. Ahn, K. Otz, X. Lun, L. Mah, F. J. Zemp, D. J. Mahoney, , S. Morrissy

The paper uses a novel computational workflow to analyze a spatiotemporally profiled GBM xenograft cohort, identifying 15 tumor cell programs related to invasion and their prognostic significance in GBM patients.

bioRxiv · Dec 5, 2023Cancer Biology

Multi-omic analysis of CIC's functional networks reveals novel interaction partners and a potential role in mitotic fidelity

Y. Takemon, V. G. LeBlanc, J. Song, S. Y. Chan, S. D. Lee, D. L. Trinh, S. T. Ahmad, W. R. Brothers, R. D. Corbett, A. Gagliardi, A. Moradian, J. G. Cairncross, S. Yip, S. A. Aparicio, J. A. Chan, , M. A. Marra

This study uses multi-omic approaches to analyze CIC's functional networks, identifying novel interactions and revealing its role in mitotic fidelity and transcriptional splicing.

bioRxiv · Apr 6, 2023Cancer Biology

Single-cell landscapes of primary glioblastomas and matched organoids and cell lines reveal variable retention of inter- and intra-tumor heterogeneity

V. G. LeBlanc, D. L. Trinh, S. Aslanpour, M. Hughes, D. Livingstone, M. D. Blough, J. G. Cairncross, J. A. Chan, J. J. Kelly, M. A. Marra

The paper analyzes genetic and transcriptional profiles of glioblastomas, organoids, and cell lines to show variable retention of tumor heterogeneity in organoids and uniformity in cell lines.

bioRxiv · Apr 24, 2021Cancer Biology

SMPD3 suppresses IDH mutant tumor growth via dual autocrine-paracrine roles

A. Balakrishnan, F. Saleh, L. Adnani, V. Chinchalongporn, A. El-Sehemy, T. Olender, M. J. Chen, S. T. Ahmad, O. Prokopchuk, L. Vasan, Y. Touahri, R. Islam, S. Sujanthan, D. Zinyk, L. C. Comanita, , C. Schuurmans

This study shows SMPD3 suppresses IDH mutant glioma growth through autocrine and paracrine mechanisms, with higher SMPD3 linked to longer survival in patients.

bioRxiv · Jul 14, 2020 · PreprintCancer Biology

Single-cell chromatin accessibility in glioblastoma delineates cancer stem cell heterogeneity predictive of survival

P. Guilhamon, M. M. Kushida, A. Nikolic, D. Singhal, G. MacLeod, S. A. M. Tonekaboni, F. M. Cavalli, C. Arlidge, N. Rajakulendran, N. Rastegar, X. Hao, R. Hassam, L. J. Smith, H. Whetstone, F. J. Coutinho, , M. Lupien

The paper uses single-cell chromatin accessibility to identify distinct glioblastoma stem cell states predictive of patient survival.

bioRxiv · Mar 13, 2020 · PreprintCancer Biology

Beyond Conventional Models: Recreating the Initiation, Evolution, and Genome of GBM

A. Bohm, J. DePetro, C. Binding, A. Gerber, N. Chahley, M. Ware, K. Thomas, S. Bukhari, C. Chen, E. Chahley, C. Grisdale, N. D. Berger, S. Lawn, Y. Yu, R. Wong, , G. Cairncross

This study develops a mouse model of glioblastoma (GBM) that replicates its genomic landscape and early stages, enabling research into prevention and treatment strategies.

bioRxiv · Nov 9, 2019 · PreprintCancer Biology

Subclonal architecture, evolutionary trajectories and patterns of inheritance of germline variants in pediatric glioblastoma

M. Hoffman, A. H. Gillmor, D. J. Kunz, M. J. Johnston, A. Nikolic, K. Karta, J. King, K. Ellestad, N. H. Dang, F. M. Cavalli, M. M. Kushida, F. J. Coutinho, B. Luu, Y. Ma, A. J. Mungall, , M. Gallo

This study examines genetic heterogeneity and evolutionary patterns in pediatric glioblastoma using whole-genome sequencing of germline-tumor pairs, revealing subclonal architecture and complex inheritance mechanisms.

bioRxiv · Oct 12, 2018Cancer Biology