Author

B. Greenbaum

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· 1 Immunology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:experimental assay· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:drug response / drug discovery· 1 Research Focus:host-pathogen & immune response· 1 Assay:proteomics· 1

Frequent Co-Authors

N. Bhardwaj· 2 shared A. Komarova· 1 shared A. Sobel Leonard· 1 shared A. Solovyov· 1 shared C. Cimen Bozkus· 1 shared C. McClain· 1 shared D. Weissman· 1 shared E. Ghedin· 1 shared

Activity by Year

2017-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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Curved chords = mutual co-authorship

2 shared papersImmunology

N. Bhardwaj

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Y-RNAs Lead an Endogenous Program of RIG-I Agonism Mobilized upon RNA Virus Infection and Targeted by HIV

N. Vabret, V. Najburg, A. Solovyov, P. Sulc, S. Balan, G. Beauclair, M. Chazal, H. Varet, R. Legendre, O. Sismeiro, R. Sanchez David, C. McClain, R. Gopal, L. Chauveau, O. Schwartz, , A. Komarova

This study identifies Y-RNAs as endogenous RIG-I ligands that are targeted by HIV through DUSP11 downregulation, enhancing their immunogenicity and triggering antiviral responses.

bioRxiv · Sep 18, 2019Immunology

Widespread immunogenic poly-epitope frameshift mutations in microsatellite unstable tumors

V. Roudko, C. Cimen Bozkus, T. Orfanelli, S. V. Blank, B. Greenbaum, N. Bhardwaj

The paper identifies immunogenic poly-epitope frameshift mutations in MSI-H tumors and validates their potential for off-the-shelf cancer vaccines.

bioRxiv · Jun 12, 2019 · PreprintCancer Biology

Transmission Bottleneck Size Estimation from Pathogen Deep-Sequencing Data, with an Application to Human Influenza A Virus

A. Sobel Leonard, D. Weissman, B. Greenbaum, E. Ghedin, K. Koelle

This paper introduces a beta-binomial sampling method to estimate transmission bottleneck sizes from pathogen sequencing data, showing it outperforms existing methods and finding a mean bottleneck size of 196 virions for influenza A virus.

bioRxiv · Jan 19, 2017Microbiology