Regev, Aviv

Temporal Tracking of Microglia Activation in Neurodegeneration at Single-Cell Resolution

Mathys, H., Adaikkan, C., Gao, F., Young, J. Z., Manet, E., Hemberg, M., De Jager, P. L., Ransohoff, R. M., Regev, A., & Tsai, L.-H. (2017) · Cell Reports

Neuroinflammation and Neurodegeneration MechanismsSingle-cell and spatial transcriptomics

Cited by 740

Single-cell transcriptomic profiling of the aging mouse brain

Ximerakis, M., Lipnick, S. L., Innes, B. T., Simmons, S. K., Adiconis, X., Dionne, D., Mayweather, B. A., Nguyen, L., Niziolek, Z., Ozek, C., et al. (2019) · Nature Neuroscience

Single-cell and spatial transcriptomicsGenetics, Aging, and Longevity in Model Organisms

Cited by 736

Single cell RNA sequencing of human microglia uncovers a subset associated with Alzheimer’s disease

Olah, M., Menon, V., Habib, N., Taga, M. F., Ma, Y., Yung, C. J., Cimpean, M., Khairallah, A., Coronas-Samano, G., Sankowski, R., et al. (2020) · Nature Communications

Neuroinflammation and Neurodegeneration MechanismsSingle-cell and spatial transcriptomics

Cited by 722

A module map showing conditional activity of expression modules in cancer

Segal, E., Friedman, N., Koller, D., & Regev, A. (2004) · Nature Genetics

Gene expression and cancer classificationBioinformatics and Genomic Networks

Cited by 685

Dynamic regulatory network controlling TH17 cell differentiation

Yosef, N., Shalek, A. K., Gaublomme, J. T., Jin, H., Lee, Y., Awasthi, A., Wu, C., Karwacz, K., Xiao, S., Jorgolli, M., et al. (2013) · Nature

Gene Regulatory Network AnalysisPsoriasis: Treatment and Pathogenesis

Cited by 682

Proto-genes and de novo gene birth

Carvunis, A.-R., Rolland, T., Wapinski, I., Calderwood, M. A., Yildirim, M. A., Simonis, N., Charloteaux, B., Hidalgo, C. A., Barbette, J., Santhanam, B., et al. (2012) · Nature

Chromosomal and Genetic VariationsEvolution and Genetic Dynamics

Cited by 669

The histone deacetylase SIRT6 is a tumor suppressor that controls cancer metabolism

Sebastián, C., Zwaans, B. M. M., Silberman, D. M., Gymrek, M., Goren, A., Zhong, L., Ram, O., Truelove, J., Guimaraes, A. R., Toiber, D., et al. (2012) · Cell

Sirtuins and Resveratrol in MedicineCancer, Hypoxia, and Metabolism

Cited by 660

Accuracy assessment of fusion transcript detection via read-mapping and de novo fusion transcript assembly-based methods

Haas, B. J., Dobin, A., Li, B., Stransky, N., Pochet, N., & Regev, A. (2019) · Genome biology

Genomics and Phylogenetic StudiesRNA Research and Splicing

Cited by 646

The Human Cell Atlas: from vision to reality

Rozenblatt-Rosen, O., Stubbington, M. J. T., Regev, A., & Teichmann, S. A. (2017) · Nature

Single-cell and spatial transcriptomicsGenomics and Chromatin Dynamics

Cited by 638

Checkpoint Blockade Immunotherapy Induces Dynamic Changes in PD-1-CD8+ Tumor-Infiltrating T Cells

Kurtulus, S., Madi, A., Escobar, G., Klapholz, M., Nyman, J., Christian, E., Pawlak, M., Dionne, D., Xia, J., Rozenblatt-Rosen, O., et al. (2019) · Immunity

Cancer Immunotherapy and BiomarkersT-cell and B-cell Immunology

Cited by 636

Revealing the vectors of cellular identity with single-cell genomics

Wagner, A., Regev, A., & Yosef, N. (2016) · Nature Biotechnology

Single-cell and spatial transcriptomicsGene Regulatory Network Analysis

Cited by 632

Single-Cell Profiles of Retinal Ganglion Cells Differing in Resilience to Injury Reveal Neuroprotective Genes

Tran, N. M., Shekhar, K., Whitney, I. E., Jacobi, A., Benhar, I., Hong, G., Yan, W., Adiconis, X., Arnold, M. E., Lee, J. M., et al. (2019) · Neuron

Glaucoma and retinal disordersNerve injury and regeneration

Cited by 627

Natural history and evolutionary principles of gene duplication in fungi

Wapinski, I., Pfeffer, A., Friedman, N., & Regev, A. (2007) · Nature

Fungal and yeast genetics researchChromosomal and Genetic Variations

Cited by 614

Decoding human fetal liver haematopoiesis

Popescu, D.-M., Botting, R. A., Stephenson, E., Green, K., Webb, S., Jardine, L., Calderbank, E. F., Polanski, K., Goh, I., Efremova, M., et al. (2019) · Nature

Hematopoietic Stem Cell TransplantationSingle-cell and spatial transcriptomics

Cited by 606

Div-Seq: Single-nucleus RNA-Seq reveals dynamics of rare adult newborn neurons

Habib, N., Li, Y., Heidenreich, M., Swiech, L., Avraham-Davidi, I., Trombetta, J. J., Hession, C., Zhang, F., & Regev, A. (2016) · Science

Single-cell and spatial transcriptomicsNeurogenesis and neuroplasticity mechanisms

Cited by 601

Metabolic labeling of RNA uncovers principles of RNA production and degradation dynamics in mammalian cells

Rabani, M., Levin, J. Z., Fan, L., Adiconis, X., Raychowdhury, R., Garber, M., Gnirke, A., Nusbaum, C., Hacohen, N., Friedman, N., et al. (2011) · Nature Biotechnology

RNA Research and SplicingRNA and protein synthesis mechanisms

Cited by 583

Single-cell genomics unveils critical regulators of Th17 cell pathogenicity

Gaublomme, J. T., Yosef, N., Lee, Y., Gertner, R. S., Yang, L. V., Wu, C., Pandolfi, P. P., Mak, T., Satija, R., Shalek, A. K., et al. (2015) · Cell

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

Cited by 575

Generation of mouse models of myeloid malignancy with combinatorial genetic lesions using CRISPR-Cas9 genome editing

Heckl, D., Kowalczyk, M. S., Yudovich, D., Belizaire, R., Puram, R. V., McConkey, M. E., Thielke, A., Aster, J. C., Regev, A., & Ebert, B. L. (2014) · Nature Biotechnology

CRISPR and Genetic EngineeringAcute Myeloid Leukemia Research

Cited by 555

High-Resolution View of the Yeast Meiotic Program Revealed by Ribosome Profiling

Brar, G. A., Yassour, M., Friedman, N., Regev, A., Ingolia, N. T., & Weissman, J. S. (2012) · Science

RNA and protein synthesis mechanismsFungal and yeast genetics research

Cited by 533

Scalable, multimodal profiling of chromatin accessibility, gene expression and protein levels in single cells

Mimitou, E. P., Lareau, C. A., Chen, K. Y., Zorzetto-Fernandes, A. L., Hao, Y., Takeshima, Y., Luo, W., Huang, T.-S., Yeung, B. Z., Papalexi, E., et al. (2021) · Nature Biotechnology

Single-cell and spatial transcriptomicsGenomics and Chromatin Dynamics

Cited by 529

Metabolic modeling of single Th17 cells reveals regulators of autoimmunity

Wagner, A., Wang, C., Fessler, J., DeTomaso, D., Avila-Pacheco, J., Kaminski, J., Zaghouani, S., Christian, E., Thakore, P., Schellhaass, B., et al. (2021) · Cell

T-cell and B-cell ImmunologyPsoriasis: Treatment and Pathogenesis

Cited by 524

A multimodal cell census and atlas of the mammalian primary motor cortex

BRAIN Initiative Cell Census Network (BICCN), BRAIN Initiative Cell Census Network (BICCN) Corresponding authors, Callaway, E. M., Dong, H.-W., Ecker, J. R., Hawrylycz, M. J., Huang, Z. J., Lein, E. S., Ngai, J., Osten, P., et al. (2021) · Nature

Single-cell and spatial transcriptomicsGenomics and Chromatin Dynamics

Cited by 522

A molecular network of the aging human brain provides insights into the pathology and cognitive decline of Alzheimer’s disease

Mostafavi, S., Gaiteri, C., Sullivan, S. E., White, C. C., Tasaki, S., Xu, J., Taga, M., Klein, H.-U., Patrick, E., Komashko, V., et al. (2018) · Nature Neuroscience

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 509

Polarization of the Effects of Autoimmune and Neurodegenerative Risk Alleles in Leukocytes

Raj, T., Rothamel, K., Mostafavi, S., Ye, C., Lee, M. N., Replogle, J. M., Feng, T., Lee, M., Asinovski, N., Frohlich, I., et al. (2014) · Science

Genetic Associations and EpidemiologyGenomics and Chromatin Dynamics

Cited by 506