Author

I. Pass

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 Research Focus:cancer & tumor microenvironment· 2 Research Focus:differential expression· 2 Research Focus:drug response / drug discovery· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1

Frequent Co-Authors

F.-Y. Zeng· 2 shared A. B. Pinkerton· 1 shared A. Deshpande· 1 shared A. J. Deshpande· 1 shared A. Khateb· 1 shared A. Terskikh· 1 shared B. Fabre· 1 shared C. A. Hassig· 1 shared

Activity by Year

2019-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersCancer Biology

F.-Y. Zeng

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

RNF5 Regulation of RBBP4 Defines Acute Myeloid Leukemia Growth and Susceptibility to Histone Deacetylase Inhibitors

A. Khateb, A. Deshpande, Y. Feng, J. S. Lee, I. Lazar, B. Fabre, Y. Li, D. Finlay, Y. Fujita, T. Zhang, J. Yin, I. Pass, I. Livneh, C. Burian, J. R. Mason, , Z. A. Ronai

This study shows RNF5 promotes AML growth by regulating RBBP4 and epigenetic pathways, and its inhibition enhances sensitivity to HDAC inhibitors, suggesting it as a therapeutic target and biomarker.

bioRxiv · Oct 25, 2020Cancer Biology

The serine-threonine kinase TAO3 promotes cancer invasion and tumor growth by facilitating trafficking of endosomes containing the invadopodia scaffold TKS5α

S. Iizuka, M. Quintavalle, J. Ceja Navarro, K. P. Gribbin, R. J. Ardecky, M. Abelman, C.-T. Ma, E. Sergienko, F.-Y. Zeng, I. Pass, G. Thomas, S. McWeeney, C. A. Hassig, A. B. Pinkerton, S. A. Courtneidge

bioRxiv · Feb 27, 2020Cancer Biology

Improving drug discovery using image-based multiparametric analysis of epigenetic landscape.

C. Farhy, S. Hariharan, J. Ylanko, L. Orozco, F.-Y. Zeng, I. Pass, F. Ugarte, C. Forsberg, C.-T. Huang, D. Andrews, A. Terskikh

This paper introduces MIEL, an image-based method for epigenetic drug screening, showing it can detect active compounds, classify functions, and predict novel drug effects with higher resolution than traditional methods.

bioRxiv · May 15, 2019Cell Biology