Author

A. Tanay

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

Bioengineering· 1 Evolutionary Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 3 Approach:experimental assay· 2 Assay:scRNA-seq· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

A. Bercovich· 1 shared A. Lifshitz· 1 shared A. M. van der Leun· 1 shared A. Sebe-Pedros· 1 shared A. Vardi· 1 shared C. Ku· 1 shared C. L. Scheele· 1 shared D. S. Thommen· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 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

1 shared paperBioengineering

A. Bercovich

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Time-Aligned Hourglass Gastrulation Models in Rabbit and Mouse

Y. Mayshar, O. Raz, S. Cheng, R. Ben-Yair, R. Hadas, N. Reines, M. Mittnenzweig, O. Ben-Kiki, A. Lifshitz, A. Tanay, Y. Stelzer

This study compares rabbit and mouse gastrulation dynamics using single-cell data to explore molecular convergence and divergence in body plan development.

bioRxiv · Nov 13, 2022Evolutionary Biology

Single Cell Analysis of Regions of Interest (SCARI) using a novel photoswitchable tag

A. M. van der Leun, M. E. Hoekstra, L. Reinalda, C. L. Scheele, M. Toebes, M. J. van de Graaff, H. Li, A. Bercovich, Y. Lubling, E. David, D. S. Thommen, A. Tanay, J. van Rheenen, I. Amit, S. I. van Kasteren, T. N. Schumacher

The paper introduces a photoswitchable tag technology to isolate and analyze live cells from specific regions in complex tissues, enabling spatially defined single-cell RNA sequencing.

bioRxiv · Oct 2, 2020 · PreprintBioengineering

Tracking infection dynamics at single-cell level reveals highly resolved expression programs of a large virus infecting algal blooms

C. Ku, U. Sheyn, A. Sebe-Pedros, S. Ben-Dor, D. Schatz, A. Tanay, S. Rosenwasser, A. Vardi

The paper uses single-cell transcriptomics to track infection dynamics of a virus in algal blooms, identifying novel viral genetic programs and host transcriptome changes during infection.

bioRxiv · Sep 5, 2019 · PreprintMicrobiology