Regev, Aviv

Multi-cellular communities are perturbed in the aging human brain and Alzheimer’s disease

Cain, A., Taga, M., McCabe, C., Green, G., Hekselman, I., White, C. C., Lee, D. I., Gaur, P., Rozenblatt-Rosen, O., Zhang, F., et al. (2020) · Nature Neuroscience

Single-cell and spatial transcriptomicsAlzheimer's disease research and treatments

Cited by 143

Multicellular communities are perturbed in the aging human brain and Alzheimer’s disease

Cain, A., Taga, M., McCabe, C., Green, G. S., Hekselman, I., White, C. C., Lee, D. I., Gaur, P., Rozenblatt-Rosen, O., Zhang, F., et al. (2023) · Nature Neuroscience

Single-cell and spatial transcriptomicsAlzheimer's disease research and treatments

Cited by 142

Toward a foundation model of causal cell and tissue biology with a Perturbation Cell and Tissue Atlas

Rood, J. E., Hupalowska, A., & Regev, A. (2024) · Cell

CRISPR and Genetic EngineeringSingle-cell and spatial transcriptomics

Cited by 139

Optimal-Transport Analysis of Single-Cell Gene Expression Identifies Developmental Trajectories in Reprogramming

Schiebinger, G., Shu, J., Tabaka, M., Cleary, B., Subramanian, V., Solomon, A., Gould, J., Liu, S., Lin, S., Berube, P., et al. (2019) · Cell

Single-cell and spatial transcriptomicsGene Regulatory Network Analysis

Cited by 139

A quantitative framework for characterizing the evolutionary history of mammalian gene expression

Chen, J., Swofford, R., Johnson, J., Cummings, B. B., Rogel, N., Lindblad-Toh, K., Haerty, W., Palma, F. D., & Regev, A. (2019) · Genome Research

Evolution and Genetic DynamicsGenomics and Phylogenetic Studies

Cited by 128

Biomni: A general-purpose biomedical ai agent

Huang, K., Zhang, S., Wang, H., Qu, Y., Lu, Y., Roohani, Y., Li, R., Qiu, L., Li, G., Zhang, J., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory)

Biomedical Text Mining and OntologiesArtificial Intelligence in Healthcare and Education

Cited by 125

Efficient Generation of Transcriptomic Profiles by Random Composite Measurements

Cleary, B., Cong, L., Cheung, A., Lander, E. S., & Regev, A. (2017) · Cell

Gene expression and cancer classificationSparse and Compressive Sensing Techniques

Cited by 114

Scalable genetic screening for regulatory circuits using compressed Perturb-seq

Yao, D., Binan, L., Bezney, J., Simonton, B., Freedman, J., Frangieh, C. J., Dey, K., Geiger-Schuller, K., Eraslan, B., Gusev, A., et al. (2024) · Nature Biotechnology

CRISPR and Genetic EngineeringSingle-cell and spatial transcriptomics

Cited by 101

Convergent Evolution of Calcineurin Pathway Roles in Thermotolerance and Virulence in Candida glabrata

Chen, Y.-L., Konieczka, J. H., Springer, D. J., Bowen, S. E., Zhang, J., Silao, F. G. S., Bungay, A. A. C., Bigol, U. G., Nicolas, M. G., Abraham, S. N., et al. (2012) · G3 Genes|Genomes|Genetics

Fungal and yeast genetics researchAntifungal resistance and susceptibility

Cited by 97

Massively parallel phenotyping of coding variants in cancer with Perturb-seq

Ursu, O., Neal, J. T., Shea, E., Thakore, P. I., Jerby-Arnon, L., Nguyen, L., Dionne, D., Diaz, C., Bauman, J., Mosaad, M. M., et al. (2022) · Nature Biotechnology

Cancer Genomics and DiagnosticsSingle-cell and spatial transcriptomics

Cited by 96

Prediction of single-cell RNA expression profiles in live cells by Raman microscopy with Raman2RNA

Kobayashi-Kirschvink, K. J., Comiter, C. S., Gaddam, S., Joren, T., Grody, E. I., Ounadjela, J. R., Zhang, K., Ge, B., Kang, J. W., Xavier, R. J., et al. (2024) · Nature Biotechnology

Spectroscopy Techniques in Biomedical and Chemical ResearchSingle-cell and spatial transcriptomics

Cited by 93

An IL-27-Driven Transcriptional Network Identifies Regulators of IL-10 Expression across T Helper Cell Subsets

Zhang, H., Madi, A., Yosef, N., Chihara, N., Awasthi, A., Pot, C., Lambden, C., Srivastava, A., Burkett, P. R., Nyman, J., et al. (2020) · Cell Reports

T-cell and B-cell ImmunologyCytokine Signaling Pathways and Interactions

Cited by 91

Immune checkpoint TIM-3 regulates microglia and Alzheimer’s disease

Kimura, K., Subramanian, A., Yin, Z., Khalilnezhad, A., Wu, Y., He, D., Dixon, K. O., Chitta, U. K., Ding, X., Adhikari, N., et al. (2025) · Nature

Neuroinflammation and Neurodegeneration MechanismsAlzheimer's disease research and treatments

Cited by 85

Evolutionary principles of modular gene regulation in yeasts

Thompson, D. A., Roy, S., Chan, M., Styczynsky, M. P., Pfiffner, J., French, C., Socha, A., Thielke, A., Napolitano, S., Muller, P., et al. (2013) · eLife

Fungal and yeast genetics researchGene Regulatory Network Analysis

Cited by 78

Changes in nucleosome occupancy associated with metabolic alterations in aged mammalian liver

Bochkis, I. M., Przybylski, D., Chen, J., & Regev, A. (2014) · Cell Reports

Genomics and Chromatin DynamicsPeroxisome Proliferator-Activated Receptors

Cited by 78

Multiplexed, image-based pooled screens in primary cells and tissues with PerturbView

Kudo, T., Meireles, A. M., Moncada, R., Chen, Y., Wu, P., Gould, J., Hu, X., Kornfeld, O., Jesudason, R., Foo, C., et al. (2025) · Nature Biotechnology

Single-cell and spatial transcriptomicsCRISPR and Genetic Engineering

Cited by 74

Optimal transport for single-cell and spatial omics

Bunne, C., Schiebinger, G., Krause, A., Regev, A., & Cuturi, M. (2024) · Nature Reviews Methods Primers

Single-cell and spatial transcriptomicsTopological and Geometric Data Analysis

Cited by 71

Single-cell profiling of proteins and chromatin accessibility using PHAGE-ATAC

Fiskin, E., Lareau, C. A., Ludwig, L. S., Eraslan, G., Liu, F., Ring, A. M., Xavier, R. J., & Regev, A. (2022) · Nature Biotechnology

Single-cell and spatial transcriptomicsGenomics and Chromatin Dynamics

Cited by 68

The chromatin landscape of Th17 cells reveals mechanisms of diversification of regulatory and pro-inflammatory states

Thakore, P. I., Schnell, A., Zhao, M., Huang, L., Hou, Y., Christian, E., Zaghouani, S., Wang, C., Singh, V., Ma, S., et al. (2022) · Nature Immunology

Psoriasis: Treatment and PathogenesisT-cell and B-cell Immunology

Cited by 57

Cellular dynamics across aged human brains uncover a multicellular cascade leading to Alzheimer’s disease

Green, G. S., Fujita, M., Yang, H.-S., Taga, M., McCabe, C., Cain, A., White, C. C., Schmidtner, A. K., Zeng, L., Wang, Y., et al. (2023) · Alzheimer s & Dementia

Single-cell and spatial transcriptomicsAlzheimer's disease research and treatments

Cited by 51

Cellular dynamics across aged human brains uncover a multicellular cascade leading to Alzheimer’s disease

Green, G. S., Yang, H., Fujita, M., Taga, M., Regev, A., Menon, V., Bennett, D. A. A., Habib, N., & De Jager, P. L. (2023) · Alzheimer's & Dementia

Single-cell and spatial transcriptomicsAlzheimer's disease research and treatments

Cited by 51

A functional selection model explains evolutionary robustness despite plasticity in regulatory networks

Habib, N., Wapinski, I., Margalit, H., Regev, A., & Friedman, N. (2012) · Molecular Systems Biology

Fungal and yeast genetics researchGene Regulatory Network Analysis

Cited by 50

Induction of a colitogenic phenotype in Th1-like cells depends on interleukin-23 receptor signaling

Pawlak, M., DeTomaso, D., Schnell, A., Meyer zu Horste, G., Lee, Y., Nyman, J., Dionne, D., Regan, B. M. L., Singh, V., Delorey, T., et al. (2022) · Immunity

Psoriasis: Treatment and PathogenesisT-cell and B-cell Immunology

Cited by 49

Glioblastoma-cortical organoids recapitulate cell state heterogeneity and intercellular transfer

Mangena, V., Chanoch-Myers, R., Sartore, R., Paulsen, B., Gritsch, S., Weisman, H., Hara, T., Breakefield, X. O., Breyne, K., Regev, A., et al. (2025) · Cancer Discovery

Glioma Diagnosis and TreatmentExtracellular vesicles in disease

Cited by 49