Author

I. Barshack

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· 4 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:human· 5 Research Focus:cell type annotation· 4 Assay:bulk RNA-seq· 3 Research Focus:differential expression· 3 Approach:experimental assay· 2 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Research Focus:cancer & tumor microenvironment· 1

Frequent Co-Authors

A. Shenoy· 2 shared E. N. Gal-Yam· 2 shared R. Sharan· 2 shared T. Geiger· 2 shared A. A. Ricci· 1 shared A. Bart· 1 shared A. Debby· 1 shared A. Gutwillig· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 11 mutual co-author links

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2 shared papersCancer Biology

A. Shenoy

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Inactivation of p53 drives breast cancer brain metastasis by altering fatty acid metabolism

K. Laue, S. Pozzi, Y. Cohen-Sharir, T. Winkler, Y. Eliezer, S. Israeli Dangoor, A. Leikin-Frenkel, K. Lange, J. Zerbib, A. A. Ricci, A. Sacconi, J. Berthelet, A. Schaffer, W. Shi, Y. Liao, , U. Ben-David

This study shows that p53 inactivation promotes breast cancer brain metastasis by altering fatty acid metabolism, with implications for therapeutic targeting.

bioRxiv · Dec 20, 2023 · PreprintCancer Biology

Chemoresistome Mapping in Individual Breast Cancer Patients Unravels Diversity in Dynamic Transcriptional Adaptation

M. Dadiani, G. Friedlander, G. Perry, N. Balint-Lahat, S. Gilad, D. Morzaev-Sulzbach, N. Bossel Ben-Moshe, A. Pavlovski, E. Domany, A. Shenoy, I. Barshack, T. Geiger, B. Kaufman, E. N. Gal-Yam

The paper maps chemoresistome dynamics in breast cancer patients to identify patient-specific resistance mechanisms and vulnerabilities.

bioRxiv · Feb 9, 2023Cancer Biology

A novel deep learning pipeline for cell typing and phenotypic marker quantification in multiplex imaging

E. Markovits, T. Dankovich, R. Gluskin, I. Weiss, A. Gutwillig, T. Dicker, S. Dagan, R. Elran, B. Arbiv, Y. Shachaf, A. Bart, A. Debby, N. Asher, G. Ben-Betzalel, R. Shapira-Frommer, , O. Zelichov

This paper introduces a deep learning pipeline for cell typing and phenotypic marker quantification in multiplex imaging, achieving high accuracy across different tumor types and imaging modalities.

bioRxiv · Nov 9, 2022 · PreprintImmunology

Proteomic landscape of multi-layered breast cancer internal tumor heterogeneity

M. Mardamshina, A. Shenoy, D. Necula, K. Krol, D. Pirak, N. Itzhacky, I. Marin, B. Shalmon, R. Sharan, E. N. Gal-Yam, I. Barshack, T. Geiger

This study presents a large-scale proteomic analysis of 330 tumor regions in breast cancer, revealing significant internal proteomic heterogeneity and functional differences between homogeneous and heterogeneous tumors.

bioRxiv · Aug 5, 2021 · PreprintCancer Biology

Evolution of metastases-associated fibroblasts in the lung microenvironment is driven by stage-specific transcriptional plasticity

O. Shani, Y. Raz, L. Monteran, O. Megides, H. Shacham, N. Cohen, D. Silverbush, O. Levi-Galibov, C. Avivi, R. Sharan, A. Madi, R. Scherz-Shouval, I. Barshack, I. Tsarfaty, N. Erez

This study shows lung fibroblasts in breast cancer metastases are transcriptionally dynamic and plastic, with stage-specific gene signatures and Myc as a key regulator linked to poor survival.

bioRxiv · Jul 6, 2020 · PreprintCancer Biology