Author

D. T. Vo

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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Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

D. Sahoo· 2 shared P. Ghosh· 2 shared A. D. Smith· 1 shared C. Guccione· 1 shared C. R. Espinoza· 1 shared C. Tindle· 1 shared G. D. Katkar· 1 shared G. S. Mazzini· 1 shared

Activity by Year

2019-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersImmunology

D. Sahoo

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Coupling of NOD2 to GIV is Required for Bacterial Sensing

G. D. Katkar, M. S. Anandachar, S. Sinha, S.-R. Ibeawuchi, C. R. Espinoza, J. Coates, Y. S. Malhotra, M. Mullick, V. Castillo, D. T. Vo, D. Sahoo, P. Ghosh

This paper identifies GIV as a NOD2-interactor that enhances bacterial sensing and signaling in macrophages, revealing how loss of function in the NOD2 1007fs variant impairs protective immune responses.

bioRxiv · Apr 26, 2022 · PreprintImmunology

AI-assisted Discovery of an Ethnicity-influenced Driver of Cell Transformation in Esophageal and Gastroesophageal Junction Adenocarcinomas

P. Ghosh, V. J. Campos, D. T. Vo, C. Guccione, V. Goheen-Holland, C. Tindle, G. S. Mazzini, Y. He, L. Alexandrov, S. M. Lippman, R. Gurski, S. Das, K. Curtius, R. Yadlapati, D. Sahoo

The paper uses AI to identify a racially influenced immune driver of esophageal and gastroesophageal junction adenocarcinomas, showing its absence in African Americans and association with neutrophil processes and genetic variants.

bioRxiv · Jan 30, 2022Cancer Biology

Integrated analyses of early responses to radiation in glioblastoma identify new alterations in RNA processing and candidate target genes to improve treatment outcomes

S. Choudhary, S. C. Burns, H. Mirsafian, W. Li, D. T. Vo, M. Qiao, A. D. Smith, L. O. Penalva

The paper identifies new RNA processing alterations and candidate target genes in glioblastoma cells after radiation exposure, suggesting potential strategies to improve treatment outcomes.

bioRxiv · Dec 5, 2019 · PreprintCancer Biology