Author

Pooja Kumar

The Jackson Laboratory for Genomic MedicineORCID 0000-0002-6589-2447Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:deconvolution· 1 Approach:experimental assay· 1 Assay:imaging· 1 Approach:statistical model· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Edison T. LiuiD· 2 shared Javad NoorbakhshiD· 2 shared Jeffrey H. ChuangiD· 2 shared Carol J. BultiD· 1 shared Charles LeeiD· 1 shared Chengsheng ZhangiD· 1 shared David J. MellertiD· 1 shared Elise T. CourtoisiD· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersBioinformatics

Edison T. LiuORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Cellos: High-throughput deconvolution of 3D organoid dynamics at cellular resolution for cancer pharmacology

Patience Mukashyaka, Pooja Kumar, David J. Mellert, Shadae Nicholas, Javad Noorbakhsh, Mattia Brugiolo, Elise T. Courtois, Olga Anczuków, Edison T. Liu, Jeffrey H. Chuang

Cellos is a high-throughput image analysis pipeline for 3D organoid segmentation and analysis, enabling accurate quantification of drug responses and cell interactions in cancer organoids.

Nature Communications · Dec 18, 2023Peer-reviewedBioinformatics

Evolution of an intratumoral ecology susceptible to successive treatment in breast cancer xenografts

Hyunsoo Kim, Pooja Kumar, Francesca Menghi, Javad Noorbakhsh, Eliza Cerveira, Mallory Ryan, Qihui Zhu, Guruprasad Ananda, Joshy George, Henry C. Chen, Susan Mockus, Chengsheng Zhang, Yan Yang, James Keck, R. Krishna Murthy Karuturi, , Jeffrey H. Chuang

This study quantifies intratumoral subclone dynamics in breast cancer xenografts, revealing a treatable ecology where subclone ratios predict treatment response.

bioRxiv · Jan 18, 2018 · PreprintCancer Biology