Author

P. G. Camara

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· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Research Focus:cell type annotation· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1

Frequent Co-Authors

A. J. Levine· 1 shared A. J. Obaya· 1 shared A. N. Alghalith· 1 shared C. H. June· 1 shared D. Kim· 1 shared D. M. Barrett· 1 shared E. C. Troisi· 1 shared H. Sun· 1 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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Curved chords = mutual co-authorship

1 shared paperCancer Biology

A. J. Levine

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Single-cell antigen-specific activation landscape of CAR T infusion product identifies determinants of CD19 positive relapse in patients with ALL

Z. Bai, S. Woodhouse, D. Kim, S. Lundh, H. Sun, Y. Deng, Y. Xiao, D. M. Barrett, R. M. Myers, S. A. Grupp, C. H. June, J. J. J. Joseph Melenhorst, P. G. Camara, R. Fan

The paper analyzes single-cell data from CAR T infusion products to identify factors associated with CD19-positive relapse in ALL patients.

bioRxiv · Apr 15, 2021Immunology

Cell Ecosystem and Signaling Pathways of Primary and Metastatic Pediatric Posterior Fossa Ependymoma

R. Aubin, E. C. Troisi, A. N. Alghalith, M. P. Nasrallah, M. Santi, P. G. Camara

This study identifies the cell ecosystem and signaling pathways of pediatric posterior fossa ependymoma using single-cell transcriptomics and shows WNT/β-catenin and TGF-β signaling drive tumorigenesis.

bioRxiv · Aug 10, 2020 · PreprintCancer Biology

Identification of Relevant Genetic Alterations in Cancer using Topological Data Analysis

R. Rabadan, Y. Mohamedi, U. Rubin, T. Chu, O. Elliott, L. Arnes, S. Cal, A. J. Obaya, A. J. Levine, P. G. Camara

This study identifies 38 candidate cancer-associated genes using topological data analysis integrated with somatic mutations and RNA expression data across 12 tumor types.

bioRxiv · Jan 30, 2020Cancer Biology