Author

A. Lasorella

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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Approach:experimental assay· 3 Organism:mouse· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Research Focus:development & morphogenesis· 1 Research Focus:differential expression· 1

Frequent Co-Authors

A. Iavarone· 3 shared A. Dovas· 1 shared A. J. Dannenberg· 1 shared B. Desai· 1 shared C. V. Rothlin· 1 shared D. Alvarado· 1 shared D. C. Montrose· 1 shared D. M. Boyett· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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3 shared papersCancer Biology

A. Iavarone

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Author profile →

3 papers

Recent·Most cited

Tissue-specific modifier alleles determine Mertk loss-of-function traits

Y. T. Akalu, M. E. Mercau, M. Ansems, S. Wagage, L. D. Hughes, J. Nevin, E. J. Alberto, X. E. Liu, L.-Z. He, D. Alvarado, T. Keler, Y. Kong, W. M. Philbrick, S. C. Finnemann, A. Iavarone, , S. Ghosh

This study shows that Mertk loss-of-function traits depend on tissue-specific modifier alleles, not just Mertk itself.

bioRxiv · May 23, 2022Immunology

Anti-tumor effects of an Id antagonist with no acquired resistance

P. M. Wojnarowicz, M. G. Escalono, Y.-H. Huang, B. Desai, Y. Chin, R. Shah, S. Xu, O. Ouerfelli, R. K. Soni, J. Philip, D. C. Montrose, J. H. Healey, V. K. Rajasekhar, W. A. Garland, L. Norton, , R. Benezra

This study demonstrates that AGX51, an Id antagonist, effectively inhibits tumor growth in multiple cancer models without inducing acquired resistance.

bioRxiv · Jan 6, 2020 · PreprintCancer Biology

Single-Cell Transcriptome Analysis of Lineage Diversity and Microenvironment in High-Grade Glioma

J. Yuan, H. M. Levitin, V. Frattini, E. C. Bush, D. M. Boyett, J. Samanamud, M. Ceccarelli, A. Dovas, G. Zanazzi, P. Canoll, J. N. Bruce, A. Lasorella, A. Iavarone, P. A. Sims

This study uses single-cell RNA-Seq to analyze lineage diversity and microenvironment in high-grade gliomas, finding links between cellular identity, proliferation, and population structure.

bioRxiv · Jun 23, 2018Cancer Biology