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Regev, Aviv

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Regev

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Regev, Aviv

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2020 - 20244

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Author's Publications: search.filters.isAuthorOfPublication.093298d1-2639-44b5-9318-b78a316215b5

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Now showing 1 - 4 of 4
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    Publication
    Brain Chimeroids reveal individual susceptibility to neurotoxic triggers
    (Springer Science and Business Media LLC, 2024-06-26) Anton Bolanos, Noelia; Faravelli, Irene; Faits, Tyler; Andreadis, Sophia; Kastli, Rahel; Trattaro, Sebastiano; Adiconis, Xian; Wei, Anqi; Sampath Kumar, Abhishek; Di Bella, Daniela J.; Tegtmeyer, Matthew; Nehme, Ralda; Levin, Joshua Z.; Regev, Aviv; Arlotta, Paola
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    Publication
    Opposing Immune and Genetic Mechanisms Shape Oncogenic Programs in Synovial Sarcoma
    (Cold Spring Harbor Laboratory, 2021-01-25) Jerby-Arnon, Livnat; Neftel, Cyril; Shore, Marni E.; Weisman, Hannah R.; Mathewson, Nathan; McBride, Matthew J.; Haas, Brian; Izar, Benjamin; Volorio, Angela; Boulay, Gaylor; Cironi, Luisa; Richman, Alyssa R.; Broye, Liliane C.; Gurski, Joseph M.; Luo, Christina; Mylvaganam, Ravindra; Nguyen, Lan; Mei, Shaolin; Melms, Johannes; Georgescu, Christophe; Cohen, Ofir; Buendia Buendia, Jorge Eduardo; Segerstolpe, Asa; Sud, Malika; Cuoco, Michael; Labes, Danny; Zollinger, Daniel R.; Ortogero, Nicole; Beechem, Joseph M.; Nielsen, G. Petur; Chebib, Ivan; Nguyen-Ngoc, Tu; Montemurro, Michael; Cote, Gregory; Choy, Edwin; Letovanec, Igor; Cherix, Stéphane; Wagle, Nikhil; Sorger, Peter; Haynes, Alex; Mullen, John; Stamenkovic, Ivan; Rivera, Miguel; Kadoch, Cigall; Wucherpfennig, Kai; Rozenblatt-Rosen, Orit; Suvà, Mario L.; Riggi, Nicolò; Regev, Aviv
    ABSTRACTSynovial sarcoma is an aggressive mesenchymal neoplasm, driven by the SS18-SSX fusion, and characterized by immunogenic antigens expression and exceptionally low T cell infiltration levels. To study the cancer-immune interplay in this disease, we profiled 16,872 cells from 12 human synovial sarcoma tumors using single-cell RNA-sequencing (scRNA-Seq). Synovial sarcoma manifests antitumor immunity, high cellular plasticity and a core oncogenic program, which is predictive of low immune levels and poor clinical outcomes. Using genetic and pharmacological perturbations, we demonstrate that the program is controlled by the SS18-SSX driver and repressed by cytokines secreted by macrophages and T cells in the tumor microenvironment. Network modeling predicted that SS18-SSX promotes the program through HDAC1 and CDK6. Indeed, the combination of HDAC and CDK4/6 inhibitors represses the program, induces immunogenic cell states, and selectively targets synovial sarcoma cells. Our study demonstrates that immune evasion, cellular plasticity, and cell cycle are co-regulated and can be co-targeted in synovial sarcoma and potentially in other malignancies.
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    A single-cell and single-nucleus RNA-Seq toolbox for fresh and frozen human tumors
    (Springer Science and Business Media LLC, 2020-05-01) Slyper, Michal; Porter, Caroline; Ashenberg, Orr; Waldman, Julia; Drokhlyansky, Eugene; Wakiro, Isaac; Smilie, Christopher; Smith-Rosario, Gabriela; Wu, Jingyi; Dionne, Danielle; Vigneau, Sebastien; Jane-Valbuena, Judit; Tickle, Timothy; Napolitano, Sara; Su, Mei-Ju; Patel, Anand; Karlstrom, Asa; Gristch, Simon; Nomura, Masashi; Waghray, Avinash; Gohil, Satyen; Tsankov, Alexander; Jerby-Arnon, Livnat; Cohen, Ofir; Klughammer, Johanna; Rosen, Yanay; Gould, Joshua; Nguyen, Lan; Hofree, Matan; Tramontozzi, Peter; Levy, Rachel; Li, Bo; Wu, Catherine; Izar, Benjamin; Haq, Rizwan; Hodi, Stephen; Yoon, Charles; Hata, Aaron; Baker, Suzanne; Suva, Mario; Bueno, Raphael; Stover, Elizabeth; Clay, Michael; Dyer, M Aiven; Collins, Natalie; Matulonis, Ursula; Wagle, Nikhil; Johnson, Bruce; Rotem, Asaf; Rozenblatt-Rosen, Orit; Regev, Aviv
    Single-cell genomics is essential to chart tumor ecosystems. Although single-cell RNA-Seq (scRNA-Seq) profiles RNA from cells dissociated from fresh tumors, single-nucleus RNA-Seq (snRNA-Seq) is needed to profile frozen or hard-to-dissociate tumors. Each requires customization to different tissue and tumor types, posing a barrier to adoption. Here, we have developed a systematic toolbox for profiling fresh and frozen clinical tumor samples using scRNA-Seq and snRNA-Seq, respectively. We analyzed 216,490 cells and nuclei from 40 samples across 23 specimens spanning eight tumor types of varying tissue and sample characteristics. We evaluated protocols by cell and nucleus quality, recovery rate and cellular composition. scRNA-Seq and snRNA-Seq from matched samples recovered the same cell types, but at different proportions. Our work provides guidance for studies in a broad range of tumors, including criteria for testing and selecting methods from the toolbox for other tumors, thus paving the way for charting tumor atlases.
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    Cellular communities reveal trajectories of brain ageing and Alzheimer’s disease
    (Springer Science and Business Media LLC, 2024-08-28) Green, Gilad S.; Fujita, Masashi; Yang, Hyun-Sik; Taga, Mariko; Cain, Anael; McCabe, Cristin; Comandante-Lou, Natacha; White, Charles C.; Schmidtner, Anna K.; Zeng, Lu; Sigalov, Alina; Wang, Yanling; Regev, Aviv; Klein, Hans-Ulrich; Menon, Vilas; Bennett, David A.; Habib, Naomi; De Jager, Philip L.
    Alzheimer’s disease (AD) has recently been associated with diverse cell states, yet when and how these states affect the onset of AD remains unclear. Here we used a data-driven approach to reconstruct the dynamics of the brain’s cellular environment and identified a trajectory leading to AD that is distinct from other ageing-related effects. First, we built a comprehensive cell atlas of the aged prefrontal cortex from 1.65 million single-nucleus RNA-sequencing profiles sampled from 437 older individuals, and identified specific glial and neuronal subpopulations associated with AD-related traits. Causal modelling then prioritized two distinct lipid-associated microglial subpopulations—one drives amyloid-β proteinopathy while the other mediates the effect of amyloid-β on tau proteinopathy—as well as an astrocyte subpopulation that mediates the effect of tau on cognitive decline. To model the dynamics of cellular environments, we devised the BEYOND methodology, which identified two distinct trajectories of brain ageing, each defined by coordinated progressive changes in certain cellular communities that lead to (1) AD dementia or (2) alternative brain ageing. Thus, we provide a cellular foundation for a new perspective on AD pathophysiology that informs personalized therapeutic development, targeting different cellular communities for individuals on the path to AD or to alternative brain ageing.