Author

I. Tirosh

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Cancer Biology· 5

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 5 Assay:scRNA-seq· 4 Approach:statistical model· 4 Approach:deep learning· 3 Research Focus:gene regulatory network inference· 3 Research Focus:cell type annotation· 2 Research Focus:cell-cell communication· 2 Research Focus:clustering· 2

Frequent Co-Authors

A. Regev· 3 shared O. Rozenblatt-Rosen· 3 shared A. C. Greenwald· 2 shared A. Tsherniak· 2 shared A. Warren· 2 shared D. Dionne· 2 shared D. Simkin· 2 shared H. Keren-Shaul· 2 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersCancer Biology

A. Regev

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Integrative spatial analysis reveals a multi-layered organization of glioblastoma

A. C. Greenwald, N. G. Darnell, R. Hoefflin, D. Simkin, L. N. Gonzalez-Castro, C. Mount, D. Hirsch, M. Nomura, T. Talpir, M. Kedmi, I. Goliand, G. Medici, B. Li, H. Keren-Shaul, M. Weller, , I. Tirosh

This study uses spatial transcriptomics and proteomics to reveal three modes of cellular organization in glioblastoma, with hypoxia driving a 5-layered global architecture.

bioRxiv · Jul 6, 2023Cancer Biology

Spatially defined multicellular functional units in colorectal cancer revealed from single cell and spatial transcriptomics

I. Avraham-Davidi, S. Mages, J. Klughammer, N. Moriel, S. Imada, M. Hofree, E. Murray, J. Chen, K. Pelka, A. Mehta, G. M. Boland, T. M. Delorey, L. Caplan, D. Dionne, R. Strasser, , A. Regev

The paper combines single cell and spatial transcriptomics to map spatial organization and functional interactions in colorectal cancer across species.

bioRxiv · Oct 2, 2022Cancer Biology

The transcriptional hallmarks of intra-tumor heterogeneity across a thousand tumors

A. Gavish, M. Tyler, D. Simkin, D. Kovarsky, L. N. Gonzalez Castro, D. Halder, R. Chanoch-Myers, J. Laffy, M. Mints, A. R. Greenwald, A. Weider, R. Tal, A. Spitzer, T. Hara, A. Tirosh, , I. Tirosh

This study integrates single-cell RNA-seq data from 1,163 tumors across 24 types to identify 41 consensus transcriptional programs and 11 hallmarks of intra-tumor heterogeneity.

bioRxiv · Dec 19, 2021 · PreprintCancer Biology

Multiplexed single-cell profiling of post-perturbation transcriptional responses to define cancer vulnerabilities and therapeutic mechanism of action

J. M. McFarland, B. R. Paolella, A. Warren, K. Geiger-Schuller, T. Shibue, M. Rothberg, O. Kuksenko, A. Jones, E. Chambers, D. Dionne, S. Bender, B. M. Wolpin, M. Ghandi, I. Tirosh, O. Rozenblatt-Rosen, , A. Tsherniak

The paper introduces MIX-Seq, a method for multiplexed single-cell transcriptional profiling of cancer cell responses to perturbations, revealing drug mechanisms and predicting cell viability.

bioRxiv · Dec 8, 2019Cancer Biology

Pan-cancer single cell RNA-seq uncovers recurring programs of cellular heterogeneity

G. S. Kinker, A. C. Greenwald, R. Tal, Z. Orlova, M. S. Cuoco, J. M. McFarland, A. Warren, C. Rodman, J. A. Roth, S. A. Bender, B. Kumar, J. W. Rocco, P. A. Fernandes, C. C. Mader, H. Keren-Shaul, , I. Tirosh

The paper uses single-cell RNA-seq to analyze cancer cell lines and identifies recurring expression programs of heterogeneity that mirror those in tumors, suggesting intrinsic plasticity contributes to intra-tumoral diversity.

bioRxiv · Oct 21, 2019 · PreprintCancer Biology