Author

J. M. Scandura

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 Cell Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Assay:bulk RNA-seq· 2 Research Focus:cancer & tumor microenvironment· 2 Research Focus:cell type annotation· 2 Organism:human· 2 Research Focus:cell signaling & trafficking· 1 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1

Frequent Co-Authors

A. Alonso· 1 shared A. J. Patel· 1 shared A. Pastore· 1 shared A. S. Nam· 1 shared C. Ang· 1 shared C. J. Lee· 1 shared C. R. Antonescu· 1 shared D. A. Landau· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperCancer Biology

A. Alonso

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Author profile →

3 papers

Recent·Most cited

Cancer BiologybioRxivPreprintMay 28, 2022

PRC2 Inactivating Mutations in Cancer are Synthetic Lethal with DNMT1 Targeted Therapy via Enhanced Viral Mimicry

A. J. Patel, S. Warda, J. L. V. Maag…·P. Chi

This paper identifies synthetic lethality between PRC2 inactivation and DNMT1 inhibition in MPNST, showing enhanced cytotoxicity through retrotransposon activation and innate immune signaling.

DOI 10.1101/2022.05.28.493429

humanbulk RNA-seq

𝕏 PostBluesky

Cell BiologybioRxivPreprintJul 6, 2019

Megakaryocyte TGFβ1 Partitions Hematopoiesis into Immature Progenitor/Stem Cells and Maturing Precursors

S. Di Giandomenico, P. Rabbany, N. Molle…·J. M. Scandura

This study shows that megakaryocyte-derived TGFβ1 controls hematopoiesis by regulating immature HSPC pools and erythroid precursor survival, improving erythropoiesis efficiency.

DOI 10.1101/689901

mousebulk RNA-seq

𝕏 PostBluesky

Cancer BiologybioRxivOct 16, 2018

High throughput droplet single-cell Genotyping of Transcriptomes (GoT) reveals the cell identity dependency of the impact of somatic mutations

A. S. Nam, K.-T. Kim, R. Chaligne…·D. A. Landau

This study introduces GoT, a high-throughput method linking single-cell genotypes and transcriptomes, revealing that somatic mutations' transcriptional effects depend on cell identity.

DOI 10.1038/s41586-019-1367-0

humanscRNA-seq

𝕏 PostBluesky