Author

J. Escabi

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 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Organism:human· 1 Research Focus:trajectory inference· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

S. Hormoz· 2 shared A. Mullally· 1 shared B. Kamaz· 1 shared C. R. Reilly· 1 shared D. J. DeAngelo· 1 shared D. Van Egeren· 1 shared E. S. Winer· 1 shared F. D. Camargo· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersEvolutionary Biology

S. Hormoz

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Author profile →

2 papers

Recent·Most cited

Fitness of a clonal population can be inferred from lineage trees without knowledge of the biological details

J. Escabi, S. Hormoz

This paper shows that fitness and mutation timing can be inferred from lineage trees without needing detailed biological parameters.

bioRxiv · Sep 9, 2022 · PreprintEvolutionary Biology

Reconstructing the lineage histories and differentiation trajectories of individual cancer cells in JAK2-mutant myeloproliferative neoplasms

D. Van Egeren, J. Escabi, M. Nguyen, S. Liu, C. R. Reilly, S. Patel, B. Kamaz, M. Kalyva, D. J. DeAngelo, I. Galinsky, M. Wadleigh, E. S. Winer, M. R. Luskin, R. M. Stone, J. S. Garcia, , S. Hormoz

This study reconstructs the lineage histories and differentiation trajectories of JAK2-mutant HSCs in MPN patients, finding the mutation occurs decades before diagnosis and drives exponential growth of mutated HSC populations.

bioRxiv · Aug 24, 2020Cancer Biology