Single-Cell Genomics: A Stepping Stone for Future Immunology Discoveries
Open accessAbstract
The immunology field has invested great efforts and ingenuity to characterize the various immune cell types and elucidate their functions. However, accumulating evidence indicates that current technologies and classification schemes are limited in their ability to account for the functional heterogeneity of immune processes. Single-cell genomics hold the potential to revolutionize the way we characterize complex immune cell assemblies and study their spatial organization, dynamics, clonal distribution, pathways, function, and crosstalks. In this Perspective, we consider recent and forthcoming technological and analytical advances in single-cell genomics and the potential impact of those advances on the future of immunology research and immunotherapy.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Standard antibody-based cell type purification across species remains challenging because epitope and antibody differences and impurities restrict accurate cross-species analysis.
“Standard antibody-based cell type purification across species remains challenging because epitope and antibody differences and impurities of the cell population captured with these antibodies across different species significantly restrict accurate cross-species analysis”
From Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program (2019) · cites this paper as Giladi and Amit, 2018
The supplied passage and further searches for antibody-based purification, epitope differences, and cross-species analysis return only reference URLs, with no substantive text or section/page information. Our accessible copy therefore cannot establish whether the paper makes the claimed point. (LLM, conf=0.76)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Continuous cultures of fused cells secreting antibody of predefined specificity
Köhler, G., & Milstein, C. (1975) · Nature · doi:10.1038/256495a0 · Cited by 17,200 · see citing works
The blockade of immune checkpoints in cancer immunotherapy
Pardoll, D. M. (2012) · Nature Reviews Cancer · doi:10.1038/nrc3239 · Cited by 13,838 · see citing works
Integrated analysis of single cell transcriptomic data across conditions, technologies, and species
Butler, A., & Satija, R. (2017) · doi:10.1101/164889 · Cited by 13,200 · see citing works
Integrating single-cell transcriptomic data across different conditions, technologies, and species
Butler, A., Hoffman, P., Smibert, P., Papalexi, E., & Satija, R. (2018) · Nature Biotechnology · doi:10.1038/nbt.4096 · Cited by 13,174 · see citing works
Trapnell, C., Cacchiarelli, D., Grimsby, J., Pokharel, P., Li, S., Morse, M., Lennon, N. J., Livak, K. J., Mikkelsen, T. S., & Rinn, J. L. (2014) · Nature Biotechnology · doi:10.1038/nbt.2859 · Cited by 7,314 · see citing works
Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets.
Macosko, E. Z., Basu, A., Satija, R., Nemesh, J., Shekhar, K., Goldman, M., Tirosh, I., Bialas, A. R., Kamitaki, N., Martersteck, E. M., et al. (2015) · Cell · doi:10.1016/j.cell.2015.05.002 · Cited by 7,110 · see citing works
Spatial reconstruction of single-cell gene expression data
Satija, R., Farrell, J. A., Gennert, D., Schier, A. F., & Regev, A. (2015) · Nature Biotechnology · doi:10.1038/nbt.3192 · Cited by 7,055 · see citing works
A Unique Microglia Type Associated with Restricting Development of Alzheimer’s Disease
Keren-Shaul, H., Spinrad, A., Weiner, A., Matcovitch-Natan, O., Dvir-Szternfeld, R., Ulland, T. K., David, E., Baruch, K., Lara-Astaiso, D., Toth, B., et al. (2017) · Cell · doi:10.1016/j.cell.2017.05.018 · Cited by 5,493 · see citing works
Self-citationMonocyte and macrophage heterogeneity
Gordon, S., & Taylor, P. R. (2005) · Nature Reviews Immunology · doi:10.1038/nri1733 · Cited by 5,190 · see citing works
Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq
Tirosh, I., Izar, B., Prakadan, S. M., Wadsworth, M. H., Treacy, D., Trombetta, J. J., Rotem, A., Rodman, C., Lian, C., Murphy, G., et al. (2016) · Science · doi:10.1126/science.aad0501 · Cited by 4,944 · see citing works
Macrophage biology in development, homeostasis and disease
Wynn, T. A., Chawla, A., & Pollard, J. W. (2013) · Nature · doi:10.1038/nature12034 · Cited by 4,684 · see citing works
Full-length RNA-seq from single cells using Smart-seq2
Picelli, S., Faridani, O. R., Björklund, Å. K., Winberg, G., Sagasser, S., & Sandberg, R. (2014) · Nature Protocols · doi:10.1038/nprot.2014.006 · Cited by 4,137 · see citing works
Differentiation of Effector CD4 T Cell Populations
Zhu, J., Yamane, H., & Paul, W. E. (2010) · Annual Review of Immunology · doi:10.1146/annurev-immunol-030409-101212 · Cited by 3,452 · see citing works
Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells
Klein, A. M., Mazutis, L., Akartuna, I., Tallapragada, N., Veres, A., Li, V., Peshkin, L., Weitz, D. A., & Kirschner, M. W. (2015) · Cell · doi:10.1016/j.cell.2015.04.044 · Cited by 3,356 · see citing works
Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq
Zeisel, A., Muñoz-Manchado, A. B., Codeluppi, S., Lönnerberg, P., La Manno, G., Juréus, A., Marques, S., Munguba, H., He, L., Betsholtz, C., et al. (2015) · Science · doi:10.1126/science.aaa1934 · Cited by 3,124 · see citing works
IDENTIFICATION OF A NOVEL CELL TYPE IN PERIPHERAL LYMPHOID ORGANS OF MICE
Steinman, R. M., & Cohn, Z. A. (1973) · The Journal of Experimental Medicine · doi:10.1084/jem.137.5.1142 · Cited by 2,443 · see citing works
Immune checkpoint targeting in cancer therapy: toward combination strategies with curative potential
Sharma, P., & Allison, J. P. (2015) · Cell · doi:10.1016/j.cell.2015.03.030 · Cited by 2,345 · see citing works
Single-cell chromatin accessibility reveals principles of regulatory variation
Buenrostro, J. D., Wu, B., Litzenburger, U. M., Ruff, D., Gonzales, M. L., Snyder, M. P., Chang, H. Y., & Greenleaf, W. J. (2015) · Nature · doi:10.1038/nature14590 · Cited by 2,308 · see citing works
Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis
Levine, J. H., Simonds, E. F., Bendall, S. C., Davis, K. L., Amir, E.-A. D., Tadmor, M. D., Litvin, O., Fienberg, H. G., Jager, A., Zunder, E. R., et al. (2015) · Cell · doi:10.1016/j.cell.2015.05.047 · Cited by 2,303 · see citing works
Tissue-Resident Macrophage Enhancer Landscapes Are Shaped by the Local Microenvironment
Lavin, Y., Winter, D., Blecher-Gonen, R., David, E., Keren-Shaul, H., Merad, M., Jung, S., & Amit, I. (2014) · Cell · doi:10.1016/j.cell.2014.11.018 · Cited by 2,167 · see citing works
Self-citationDixit, A., Parnas, O., Li, B., Chen, J., Fulco, C. P., Jerby-Arnon, L., Marjanovic, N. D., Dionne, D., Burks, T., Raychowdhury, R., et al. (2016) · Cell · doi:10.1016/j.cell.2016.11.038 · Cited by 1,863 · see citing works
Single-cell RNA sequencing to explore immune cell heterogeneity
Papalexi, E., & Satija, R. (2018) · Nature Reviews Immunology · doi:10.1038/nri.2017.76 · Cited by 1,806 · see citing works
Massively parallel single-cell RNA-seq for marker-free decomposition of tissues into cell types
Jaitin, D. A., Kenigsberg, E., Keren-Shaul, H., Elefant, N., Paul, F., Zaretsky, I., Mildner, A., Cohen, N., Jung, S., Tanay, A., et al. (2014) · Science · doi:10.1126/science.1247651 · Cited by 1,795 · see citing works
Self-citationFull-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells
Ramsköld, D., Luo, S., Wang, Y.-C., Li, R., Deng, Q., Faridani, O. R., Daniels, G. A., Khrebtukova, I., Loring, J. F., Laurent, L. C., et al. (2012) · Nature Biotechnology · doi:10.1038/nbt.2282 · Cited by 1,609 · see citing works
Single-cell Hi-C reveals cell-to-cell variability in chromosome structure
Nagano, T., Lubling, Y., Stevens, T. J., Schoenfelder, S., Yaffe, E., Dean, W., Laue, E. D., Tanay, A., & Fraser, P. (2013) · Nature · doi:10.1038/nature12593 · Cited by 1,589 · see citing works
Bayesian approach to single-cell differential expression analysis
Kharchenko, P. V., Silberstein, L., & Scadden, D. T. (2014) · Nature Methods · doi:10.1038/nmeth.2967 · Cited by 1,348 · see citing works
Single-Cell RNA-Seq Reveals Dynamic, Random Monoallelic Gene Expression in Mammalian Cells
Deng, Q., Ramsköld, D., Reinius, B., & Sandberg, R. (2014) · Science · doi:10.1126/science.1245316 · Cited by 1,345 · see citing works
Reconstructing lineage hierarchies of the distal lung epithelium using single-cell RNA-seq
Treutlein, B., Brownfield, D. G., Wu, A. R., Neff, N. F., Mantalas, G. L., Espinoza, F. H., Desai, T. J., Krasnow, M. A., & Quake, S. R. (2014) · Nature · doi:10.1038/nature13173 · Cited by 1,342 · see citing works
Gosselin, D., Link, V. M., Romanoski, C. E., Fonseca, G. J., Eichenfield, D. Z., Spann, N. J., Stender, J. D., Chun, H. B., Garner, H., Geissmann, F., et al. (2014) · Cell · doi:10.1016/j.cell.2014.11.023 · Cited by 1,307 · see citing works
Multiplex single-cell profiling of chromatin accessibility by combinatorial cellular indexing
Cusanovich, D. A., Daza, R., Adey, A., Pliner, H. A., Christiansen, L., Gunderson, K. L., Steemers, F. J., Trapnell, C., & Shendure, J. (2015) · Science · doi:10.1126/science.aab1601 · Cited by 1,248 · see citing works
Single-cell messenger RNA sequencing reveals rare intestinal cell types
Grün, D., Lyubimova, A., Kester, L., Wiebrands, K., Basak, O., Sasaki, N., Clevers, H., & van Oudenaarden, A. (2015) · Nature · doi:10.1038/nature14966 · Cited by 1,234 · see citing works
CEL-seq: single-cell RNA-seq by multiplexed linear amplification
Hashimshony, T., Wagner, F., Sher, N., & Yanai, I. (2012) · Cell Reports · doi:10.1016/j.celrep.2012.08.003 · Cited by 1,231 · see citing works
Innate Immune Landscape in Early Lung Adenocarcinoma by Paired Single-Cell Analyses
Lavin, Y., Kobayashi, S., Leader, A., Amir, E.-A. D., Elefant, N., Bigenwald, C., Remark, R., Sweeney, R., Becker, C. D., Levine, J. H., et al. (2017) · Cell · doi:10.1016/j.cell.2017.04.014 · Cited by 1,209 · see citing works
Self-citationAdamson, B., Norman, T. M., Jost, M., Cho, M. Y., Nuñez, J. K., Chen, Y., Villalta, J. E., Gilbert, L. A., Horlbeck, M. A., Hein, M. Y., et al. (2016) · Cell · doi:10.1016/j.cell.2016.11.048 · Cited by 1,193 · see citing works
Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells
Shalek, A. K., Satija, R., Adiconis, X., Gertner, R. S., Gaublomme, J. T., Raychowdhury, R., Schwartz, S., Yosef, N., Malboeuf, C., Lu, D., et al. (2013) · Nature · doi:10.1038/nature12172 · Cited by 1,190 · see citing works
Quantitative single-cell RNA-seq with unique molecular identifiers
Islam, S., Zeisel, A., Joost, S., La Manno, G., Zajac, P., Kasper, M., Lönnerberg, P., & Linnarsson, S. (2014) · Nature Methods · doi:10.1038/nmeth.2772 · Cited by 1,183 · see citing works
Microglia development follows a stepwise program to regulate brain homeostasis
Matcovitch-Natan, O., Winter, D. R., Giladi, A., Vargas Aguilar, S., Spinrad, A., Sarrazin, S., Ben-Yehuda, H., David, E., Zelada González, F., Perrin, P., et al. (2016) · Science · doi:10.1126/science.aad8670 · Cited by 1,180 · see citing works
Self-citationComputational and analytical challenges in single-cell transcriptomics
Stegle, O., Teichmann, S. A., & Marioni, J. C. (2015) · Nature Reviews Genetics · doi:10.1038/nrg3833 · Cited by 1,170 · see citing works
van Furth, R., Cohn, Z. A., Jg, H., Humphrey, J., Spector, W. G., & Langevoort, H. L. (1972) · PubMed Central · Cited by 1,133 · see citing works
Single-cell genome-wide bisulfite sequencing for assessing epigenetic heterogeneity
Smallwood, S. A., Lee, H. J., Angermueller, C., Krueger, F., Saadeh, H., Peat, J., Andrews, S. R., Stegle, O., Reik, W., & Kelsey, G. (2014) · Nature Methods · doi:10.1038/nmeth.3035 · Cited by 1,125 · see citing works
Transcriptional Heterogeneity and Lineage Commitment in Myeloid Progenitors
Paul, F., Arkin, Y., Giladi, A., Jaitin, D. A., Kenigsberg, E., Keren-Shaul, H., Winter, D., Lara-Astiaso, D., Gury, M., Weiner, A., et al. (2015) · Cell · doi:10.1016/j.cell.2015.11.013 · Cited by 1,082 · see citing works
Self-citationVariation in the Human Immune System Is Largely Driven by Non-Heritable Influences
Brodin, P., Jojic, V., Gao, T., Bhattacharya, S., Angel, C. J. L., Furman, D., Shen-Orr, S., Dekker, C. L., Swan, G. E., Butte, A. J., et al. (2015) · Cell · doi:10.1016/j.cell.2014.12.020 · Cited by 1,065 · see citing works
Single-cell spatial reconstruction reveals global division of labour in the mammalian liver
Halpern, K. B., Shenhav, R., Matcovitch-Natan, O., Tóth, B., Lemze, D., Golan, M., Massasa, E. E., Baydatch, S., Landen, S., Moor, A. E., et al. (2017) · Nature · doi:10.1038/nature21065 · Cited by 1,059 · see citing works
Self-citationSingle-cell RNA-seq reveals dynamic paracrine control of cellular variation
Shalek, A. K., Satija, R., Shuga, J., Trombetta, J. J., Gennert, D., Lu, D., Chen, P., Gertner, R. S., Gaublomme, J. T., Yosef, N., et al. (2014) · Nature · doi:10.1038/nature13437 · Cited by 1,000 · see citing works
Accounting for technical noise in single-cell RNA-seq experiments
Brennecke, P., Anders, S., Kim, J. K., Kołodziejczyk, A. A., Zhang, X., Proserpio, V., Baying, B., Benes, V., Teichmann, S. A., Marioni, J. C., et al. (2013) · Nature Methods · doi:10.1038/nmeth.2645 · Cited by 979 · see citing works
Human haematopoietic stem cell lineage commitment is a continuous process
Velten, L., Haas, S. F., Raffel, S., Blaszkiewicz, S., Islam, S., Hennig, B. P., Hirche, C., Lutz, C., Buss, E. C., Nowak, D., et al. (2017) · Nature Cell Biology · doi:10.1038/ncb3493 · Cited by 925 · see citing works
Clonal dynamics of native haematopoiesis
Sun, J., Ramos, A., Chapman, B., Johnnidis, J. B., Le, L., Ho, Y.-J., Klein, A. M., Hofmann, O., & Camargo, F. D. (2014) · Nature · doi:10.1038/nature13824 · Cited by 803 · see citing works
Scaling single-cell genomics from phenomenology to mechanism
Tanay, A., & Regev, A. (2017) · Nature · doi:10.1038/nature21350 · Cited by 792 · see citing works
Dissecting Immune Circuits by Linking CRISPR-Pooled Screens with Single-Cell RNA-Seq
Jaitin, D. A., Weiner, A., Yofe, I., Lara-Astiaso, D., Keren-Shaul, H., David, E., Salame, T. M., Tanay, A., van Oudenaarden, A., & Amit, I. (2016) · Cell · doi:10.1016/j.cell.2016.11.039 · Cited by 777 · see citing works
Self-citationA single-cell resolution map of mouse hematopoietic stem and progenitor cell differentiation
Nestorowa, S., Hamey, F. K., Pijuan Sala, B., Diamanti, E., Shepherd, M., Laurenti, E., Wilson, N. K., Kent, D. G., & Göttgens, B. (2016) · Blood · doi:10.1182/blood-2016-05-716480 · Cited by 768 · see citing works
Whole-organism lineage tracing by combinatorial and cumulative genome editing
McKenna, A., Findlay, G. M., Gagnon, J. A., Horwitz, M. S., Schier, A. F., & Shendure, J. (2016) · Science · doi:10.1126/science.aaf7907 · Cited by 766 · see citing works
Dynamic Imaging of T Cell-Dendritic Cell Interactions in Lymph Nodes
Stoll, S., Delon, J., Brotz, T. M., & Germain, R. N. (2002) · Science · doi:10.1126/science.1071065 · Cited by 718 · see citing works
Shah, S., Lubeck, E., Zhou, W., & Cai, L. (2016) · Neuron · doi:10.1016/j.neuron.2016.10.001 · Cited by 671 · see citing works
Regulation of metabolism by the innate immune system
Lackey, D. E., & Olefsky, J. M. (2016) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2015.189 · Cited by 667 · see citing works
Diffusion maps for high-dimensional single-cell analysis of differentiation data
Haghverdi, L., Buettner, F., & Theis, F. J. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv325 · Cited by 649 · see citing works
Revealing the vectors of cellular identity with single-cell genomics
Wagner, A., Regev, A., & Yosef, N. (2016) · Nature Biotechnology · doi:10.1038/nbt.3711 · Cited by 632 · see citing works
Multilineage communication regulates human liver bud development from pluripotency
Camp, J. G., Sekine, K., Gerber, T., Loeffler-Wirth, H., Binder, H., Gac, M., Kanton, S., Kageyama, J., Damm, G., Seehofer, D., et al. (2017) · Nature · doi:10.1038/nature22796 · Cited by 621 · see citing works
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 · doi:10.1126/science.aad7038 · Cited by 601 · see citing works
Gury-BenAri, M., Thaiss, C. A., Serafini, N., Winter, D. R., Giladi, A., Lara-Astiaso, D., Levy, M., Salame, T. M., Weiner, A., David, E., et al. (2016) · Cell · doi:10.1016/j.cell.2016.07.043 · Cited by 587 · see citing works
Self-citationSingle-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 · doi:10.1016/j.cell.2015.11.009 · Cited by 575 · see citing works
Zepp, J. A., Zacharias, W. J., Frank, D. B., Cavanaugh, C. A., Zhou, S., Morley, M. P., & Morrisey, E. E. (2017) · Cell · doi:10.1016/j.cell.2017.07.034 · Cited by 567 · see citing works
Schlitzer, A., Vijayakumar, S., Chen, J., Sumatoh, H., Schreuder, J., Lum, J., Malleret, B., Zhang, S., Larbi, A., Zolezzi, F., et al. (2015) · Nature Immunology · doi:10.1038/ni.3200 · Cited by 564 · see citing works
Wishbone identifies bifurcating developmental trajectories from single-cell data
Setty, M., Tadmor, M. D., Reich-Zeliger, S., Angel, O., Salame, T. M., Kathail, P., Choi, K., Bendall, S., Friedman, N., & Pe'er, D. (2016) · Nature Biotechnology · doi:10.1038/nbt.3569 · Cited by 558 · see citing works
Linking T-cell receptor sequence to functional phenotype at the single-cell level
Han, A. S., Glanville, J., Hansmann, L., & Davis, M. M. (2014) · Nature Biotechnology · doi:10.1038/nbt.2938 · Cited by 534 · see citing works
Bain, C. C., Hawley, C. A., Garner, H., Scott, C. L., Schridde, A., Steers, N. J., Mack, M., Joshi, A., Guilliams, M., Mowat, A. M. I., et al. (2016) · Nature Communications · doi:10.1038/ncomms11852 · Cited by 527 · see citing works
Vremec, D., & Shortman, K. (1997) · The Journal of Immunology · doi:10.4049/jimmunol.159.2.565 · Cited by 509 · see citing works
Integrated genome and transcriptome sequencing of the same cell
Dey, S. S., Kester, L., Spanjaard, B., Bienko, M., & van Oudenaarden, A. (2015) · Nature Biotechnology · doi:10.1038/nbt.3129 · Cited by 502 · see citing works
Immune Regulation of Metabolic Homeostasis in Health and Disease
Brestoff, J. R., & Artis, D. (2015) · Cell · doi:10.1016/j.cell.2015.02.022 · Cited by 498 · see citing works
The heterogeneity of human CD127+ innate lymphoid cells revealed by single-cell RNA sequencing
Björklund, Å. K., Forkel, M., Picelli, S., Kónya, V., Theorell, J., Friberg, D., Sandberg, R., & Mjösberg, J. (2016) · Nature Immunology · doi:10.1038/ni.3368 · Cited by 491 · see citing works
Computational flow cytometry: helping to make sense of high-dimensional immunology data
Saeys, Y., Gassen, S. V., & Lambrecht, B. N. (2016) · Nature reviews. Immunology · doi:10.1038/nri.2016.56 · Cited by 471 · see citing works
Electronic Separation of Biological Cells by Volume
Fulwyler, M. J. (1965) · Science · doi:10.1126/science.150.3698.910 · Cited by 452 · see citing works
Diverse and heritable lineage imprinting of early haematopoietic progenitors
Naik, S. H., Perié, L., Swart, E., Gerlach, C., van Rooij, N., de Boer, R. J., & Schumacher, T. N. (2013) · Nature · doi:10.1038/nature12013 · Cited by 416 · see citing works
Metchnikoff and the phagocytosis theory
Tauber, A. I. (2003) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1244 · Cited by 413 · see citing works
High-throughput sequencing of the paired human immunoglobulin heavy and light chain repertoire
DeKosky, B. J., Ippolito, G. C., Deschner, R. P., Lavinder, J. J., Wine, Y., Rawlings, B. M., Varadarajan, N., Giesecke, C., Dörner, T., Andrews, S. F., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2492 · Cited by 410 · see citing works
High-throughput spatial mapping of single-cell RNA-seq data to tissue of origin
Achim, K., Pettit, J.-B., Saraiva, L. R., Gavriouchkina, D., Larsson, T., Arendt, D., & Marioni, J. C. (2015) · Nature Biotechnology · doi:10.1038/nbt.3209 · Cited by 395 · see citing works
Tracing haematopoietic stem cell formation at single-cell resolution
Zhou, F., Li, X., Wang, W., Zhu, P., Zhou, J. R., He, W., Ding, M., Xiong, F., Zheng, X., Li, Z., et al. (2016) · Nature · doi:10.1038/nature17997 · Cited by 356 · see citing works
Pathogen Cell-to-Cell Variability Drives Heterogeneity in Host Immune Responses
Avraham, R., Haseley, N., Brown, D., Peñaranda, C., Jijon, H. B., Trombetta, J. J., Satija, R., Shalek, A. K., Xavier, R. J., Regev, A., et al. (2015) · Cell · doi:10.1016/j.cell.2015.08.027 · Cited by 335 · see citing works
Dynamic imaging of the immune system: progress, pitfalls and promise
Germain, R. N., Miller, M. J., Dustin, M. L., & Nussenzweig, M. C. (2006) · Nature reviews. Immunology · doi:10.1038/nri1884 · Cited by 275 · see citing works
Lönnberg, T., Svensson, V., James, K. R., Fernandez‐Ruiz, D., Sebina, I., Montandon, R., Soon, M. S. F., Fogg, L. G., Nair, A. S., Liligeto, U. N., et al. (2017) · Science Immunology · doi:10.1126/sciimmunol.aal2192 · Cited by 260 · see citing works
How Do Immune Cells Support and Shape the Brain in Health, Disease, and Aging?
Schwartz, M., Kipnis, J., Rivest, S., & Prat, A. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.3241-13.2013 · Cited by 256 · see citing works
An interactive reference framework for modeling a dynamic immune system
Spitzer, M. H., Gherardini, P. F., Fragiadakis, G. K., Bhattacharya, N., Yuan, R. T., Hotson, A. N., Finck, R., Carmi, Y., Zunder, E. R., Fantl, W. J., et al. (2015) · Science · doi:10.1126/science.1259425 · Cited by 239 · see citing works
Spatial reconstruction of immune niches by combining photoactivatable reporters and scRNA-seq
Medaglia, C., Giladi, A., Stoler‐Barak, L., Giovanni, M. D., Salame, T., Biram, A., David, E., Li, H., Iannacone, M., Shulman, Z., et al. (2017) · Science · doi:10.1126/science.aao4277 · Cited by 237 · see citing works
Self-citationContinuous genetic recording with self-targeting CRISPR-Cas in human cells
Perli, S. D., Cui, C. H., & Lu, T. K. (2016) · Science · doi:10.1126/science.aag0511 · Cited by 231 · see citing works
Differentiation and heterogeneity in the mononuclear phagocyte system
Hume, D. A. (2008) · Mucosal Immunology · doi:10.1038/mi.2008.36 · Cited by 220 · see citing works
Heterogeneity in immune responses: from populations to single cells
Satija, R., & Shalek, A. K. (2014) · Trends in Immunology · doi:10.1016/j.it.2014.03.004 · Cited by 210 · see citing works
Aire controls gene expression in the thymic epithelium with ordered stochasticity
Meredith, M. M., Zemmour, D., Mathis, D. J., & Benoist, C. O. (2015) · Nature Immunology · doi:10.1038/ni.3247 · Cited by 206 · see citing works
Single-cell multimodal profiling reveals cellular epigenetic heterogeneity
Cheow, L. F., Courtois, E. T., Tan, Y., Viswanathan, R., Xing, Q. R., Tan, R. Z., Tan, D. S.-W., Robson, P., Loh, Y., Quake, S. R., et al. (2016) · Nature Methods · doi:10.1038/nmeth.3961 · Cited by 193 · see citing works
The Branching Point in Erythro-Myeloid Differentiation
Perié, L., Duffy, K. R., Kok, L., de Boer, R. J., & Schumacher, T. N. (2015) · Cell · doi:10.1016/j.cell.2015.11.059 · Cited by 185 · see citing works
Mooijman, D., Dey, S. S., Boisset, J.-C., Crosetto, N., & van Oudenaarden, A. (2016) · Nature Biotechnology · doi:10.1038/nbt.3598 · Cited by 165 · see citing works
Heimberg, G., Bhatnagar, R., El-Samad, H., & Thomson, M. (2016) · Cell Systems · doi:10.1016/j.cels.2016.04.001 · Cited by 156 · see citing works
Brennecke, P., Reyes, A., Pinto, S., Rattay, K., Nguyen, M., Küchler, R., Huber, W. K., Kyewski, B., & Steinmetz, L. M. (2015) · Nature Immunology · doi:10.1038/ni.3246 · Cited by 155 · see citing works
Hematopoietic Stem Cell Heterogeneity: Subtypes, Not Unpredictable Behavior
Schroeder, T. (2010) · Cell stem cell · doi:10.1016/j.stem.2010.02.006 · Cited by 109 · see citing works
Single-cell technologies sharpen up mammalian stem cell research
Hoppe, P. S., Coutu, D. L., & Schroeder, T. (2014) · Nature Cell Biology · doi:10.1038/ncb3042 · Cited by 104 · see citing works
The innate immune system and the clearance of apoptotic cells
Devitt, A., & Marshall, L. J. (2011) · Journal of Leukocyte Biology · doi:10.1189/jlb.0211095 · Cited by 103 · see citing works
Strategies to discover regulatory circuits of the mammalian immune system
Amit, I., Regev, A., & Hacohen, N. (2011) · Nature reviews. Immunology · doi:10.1038/nri3109 · Cited by 73 · see citing works
Self-citationMicrobial Exposure Regulates the Development of Anti-Blood Group Antibodies
Arthur, C. M., Sullivan, H. C., Gerner‐Smidt, C., Kamili, N. A., Bennett, A. L., Patel, S. R., Henry, S., & Stowell, S. R. (2016) · Blood · doi:10.1182/blood.v128.22.20.20 · Cited by 17 · see citing works
[Cytostatic effect of daunomycin in impulsecytophotometric test].
Göhde, W., & Dittrich, W. (1971) · PubMed · Cited by 10 · see citing works
Pathogen Cell-to-Cell Variability Drives Heterogeneity in Host Immune Responses
Avraham, R., Haseley, N., Brown, D., Peñaranda, C., Jijon, H. B., Trombetta, J. J., Satija, R., Shalek, A. K., Xavier, R. J., Regev, A., et al. (2015) · Cell · doi:10.1016/j.cell.2015.09.044 · Cited by 6 · see citing works
Flagged first, then by citations
1 of the 99 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Resolving the fibrotic niche of human liver cirrhosis at single-cell level
Ramachandran, P., Dobie, R., Wilson-Kanamori, J. R., Dora, E. F., Henderson, B. E. P., Luu, N. T., Portman, J. R., Matchett, K. P., Brice, M., Marwick, J. A., et al. (2019) · Nature · doi:10.1038/s41586-019-1631-3 · Cited by 1,784 · see citing works
Single-Cell RNA-Seq Reveals AML Hierarchies Relevant to Disease Progression and Immunity
van Galen, P., Hovestadt, V., Wadsworth II, M. H., Hughes, T. K., Griffin, G. K., Battaglia, S., Verga, J. A., Stephansky, J., Pastika, T. J., Lombardi Story, J., et al. (2019) · Cell · doi:10.1016/j.cell.2019.01.031 · Cited by 1,164 · see citing works
Sun, D., Wang, J., Han, Y., Dong, X., Ge, J., Zheng, R., Shi, X., Wang, B., Li, Z., Ren, P., et al. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa1020 · Cited by 1,076 · see citing works
Metabolic coordination of T cell quiescence and activation
Chapman, N. M., Boothby, M. R., & Chi, H. (2019) · Nature reviews. Immunology · doi:10.1038/s41577-019-0203-y · Cited by 749 · see citing works
Cross-tissue single-cell landscape of human monocytes and macrophages in health and disease
Mulder, K., Patel, A. A., Kong, W. T., Piot, C., Halitzki, E., Dunsmore, G., Khalilnezhad, S., Irac, S. E., Dubuisson, A., Chevrier, M., et al. (2021) · Immunity · doi:10.1016/j.immuni.2021.07.007 · Cited by 678 · see citing works
Han, Y., Wang, Y., Dong, X., Sun, D., Liu, Z., Yue, J., Wang, H., Li, T., & Wang, C. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkac959 · Cited by 656 · see citing works
Lineage Tracing in Humans Enabled by Mitochondrial Mutations and Single-Cell Genomics
Ludwig, L. S., Lareau, C. A., Ulirsch, J. C., Christian, E., Muus, C., Li, L. H., Pelka, K., Ge, W. H., Oren, Y., Brack, A., et al. (2019) · Cell · doi:10.1016/j.cell.2019.01.022 · Cited by 534 · see citing works
Determinants of resident tissue macrophage identity and function
Blériot, C., Chakarov, S., & Ginhoux, F. (2020) · Immunity · doi:10.1016/j.immuni.2020.05.014 · Cited by 507 · see citing works
MAFG-driven astrocytes promote CNS inflammation
Wheeler, M. A., Clark, I. C., Tjon, E. C., Li, Z., Zandee, S. E. J., Couturier, C. P., Watson, B. R., Scalisi, G., Alkwai, S., Rothhammer, V., et al. (2020) · Nature · doi:10.1038/s41586-020-1999-0 · Cited by 501 · see citing works
Katzenelenbogen, Y., Sheban, F., Yalin, A., Yofe, I., Svetlichnyy, D., Jaitin, D. A., Bornstein, C., Moshe, A., Keren-Shaul, H., Cohen, M., et al. (2020) · Cell · doi:10.1016/j.cell.2020.06.032 · Cited by 498 · see citing works
Self-citationCross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program
Geirsdottir, L., David, E., Keren-Shaul, H., Weiner, A., Bohlen, S. C., Neuber, J., Balic, A., Giladi, A., Sheban, F., Dutertre, C.-A., et al. (2019) · Cell · doi:10.1016/j.cell.2019.11.010 · Cited by 461 · see citing works
Self-citationLung Single-Cell Signaling Interaction Map Reveals Basophil Role in Macrophage Imprinting
Cohen, M., Giladi, A., Gorki, A.-D., Gelbard-Solodkin, D., Zada, M., Hladik, A., Miklosi, A., Salame, T., Halpern, K. B., David, E., et al. (2018) · Cell · doi:10.1016/j.cell.2018.09.009 · Cited by 407 · see citing works
Self-citationGiladi, A., Paul, F., Herzog, Y., Lubling, Y., Weiner, A., Yofe, I., Jaitin, D., Cabezas-Wallscheid, N., Dress, R., Ginhoux, F., et al. (2018) · Nature Cell Biology · doi:10.1038/s41556-018-0121-4 · Cited by 366 · see citing works
Self-citationImmunotherapy for Ovarian Cancer: Adjuvant, Combination, and Neoadjuvant
Yang, C. Q., Xia, B.-R., Zhang, Z.-C., Zhang, Y., Lou, G., & Jin, W. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.577869 · Cited by 354 · see citing works
Roles of macrophages in tumor development: a spatiotemporal perspective
Bied, M., Ho, W. W., Ginhoux, F., & Blériot, C. (2023) · Cellular and Molecular Immunology · doi:10.1038/s41423-023-01061-6 · Cited by 360 · see citing works
Direct Comparative Analyses of 10X Genomics Chromium and Smart-Seq2
Wang, X., He, Y., Zhang, Q., Ren, X., & Zhang, Z. (2021) · Genomics Proteomics & Bioinformatics · doi:10.1016/j.gpb.2020.02.005 · Cited by 316 · see citing works
Keren-Shaul, H., Kenigsberg, E., Jaitin, D. A., David, E., Paul, F., Tanay, A., & Amit, I. (2019) · Nature Protocols · doi:10.1038/s41596-019-0164-4 · Cited by 292 · see citing works
Self-citationSingle cell dissection of plasma cell heterogeneity in symptomatic and asymptomatic myeloma
Ledergor, G., Weiner, A., Zada, M., Wang, S.-Y., Cohen, Y. C., Gatt, M. E., Snir, N., Magen, H., Koren-Michowitz, M., Herzog-Tzarfati, K., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0269-2 · Cited by 263 · see citing works
Self-citationSingle-cell technologies in hepatology: new insights into liver biology and disease pathogenesis
Ramachandran, P., Matchett, K. P., Dobie, R., Wilson-Kanamori, J. R., & Henderson, N. C. (2020) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-020-0304-x · Cited by 253 · see citing works
TREM2 macrophages drive NK cell paucity and dysfunction in lung cancer
Park, M. D., Reyes-Torres, I., LeBerichel, J., Hamon, P., LaMarche, N. M., Hegde, S., Belabed, M., Troncoso, L., Grout, J. A., Magen, A., et al. (2023) · Nature Immunology · doi:10.1038/s41590-023-01475-4 · Cited by 251 · see citing works
Papillomavirus Immune Evasion Strategies Target the Infected Cell and the Local Immune System
Zhou, C., Tuong, Z. K., & Frazer, I. H. (2019) · Frontiers in Oncology · doi:10.3389/fonc.2019.00682 · Cited by 250 · see citing works
Ydens, E., Amann, L., Asselbergh, B., Scott, C. L., Martens, L., Sichien, D., Mossad, O., Blank, T., Prijck, S. D., Low, D., et al. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0618-6 · Cited by 243 · see citing works
Chen, J., Tan, Y., Sun, F., Hou, L., Zhang, C., Tao, G., Yu, H., Wu, C., Zhu, Y., Wu, L., et al. (2020) · Genome biology · doi:10.1186/s13059-020-02064-6 · Cited by 214 · see citing works
Metabolic Control of Treg Cell Stability, Plasticity, and Tissue-Specific Heterogeneity
Shi, H., & Chi, H. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.02716 · Cited by 204 · see citing works
Triana, S., Vonficht, D., Jopp-Saile, L., Raffel, S., Lutz, R., Leonce, D., Antes, M., Hernández-Malmierca, P., Ordoñez-Rueda, D., Ramasz, B., et al. (2021) · Nature Immunology · doi:10.1038/s41590-021-01059-0 · Cited by 195 · see citing works
A Single-Cell Sequencing Guide for Immunologists
See, P., Lum, J., Chen, J., & Ginhoux, F. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.02425 · Cited by 187 · see citing works
A Binary Cre Transgenic Approach Dissects Microglia and CNS Border-Associated Macrophages
Kim, J.-S., Kolesnikov, M., Peled-Hajaj, S., Scheyltjens, I., Xia, Y., Trzebanski, S., Haimon, Z., Shemer, A., Lubart, A., Van Hove, H., et al. (2021) · Immunity · doi:10.1016/j.immuni.2020.11.007 · Cited by 176 · see citing works
Next-generation computational tools for interrogating cancer immunity
Finotello, F., Rieder, D., Hackl, H., & Trajanoski, Z. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0166-7 · Cited by 158 · see citing works
Miller, T. E., Lareau, C. A., Verga, J. A., DePasquale, E. A. K., Liu, V., Ssozi, D., Sandor, K. D., Yin, Y., Ludwig, L. S., Farran, C. A. E., et al. (2022) · Nature Biotechnology · doi:10.1038/s41587-022-01210-8 · Cited by 154 · see citing works
RNA Sequencing Data: Hitchhiker's Guide to Expression Analysis
den Berge, K. V., Hembach, K. M., Soneson, C., Tiberi, S., Clement, L., Love, M., Patro, R., & Robinson, M. D. (2018) · Annual Review of Biomedical Data Science · doi:10.1146/annurev-biodatasci-072018-021255 · Cited by 119 · see citing works
Liu, F., Zhang, Y., Zhang, L., Li, Z., Fang, Q., Gao, R., & Zhang, Z. (2019) · Genome biology · doi:10.1186/s13059-019-1863-4 · Cited by 144 · see citing works
From bench to bedside: Single-cell analysis for cancer immunotherapy
Davis-Marcisak, E. F., Deshpande, A. M., Stein-O’Brien, G., Ho, W. J., Laheru, D. A., Jaffee, E. M., Fertig, E. J., & Kagohara, L. T. (2021) · Cancer Cell · doi:10.1016/j.ccell.2021.07.004 · Cited by 120 · see citing works
Veerman, K. M., Tardiveau, C., Martins, F., Coudert, J., & Girard, J. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.02.042 · Cited by 119 · see citing works
SUMMERS, K. M., Bush, S. J., & Hume, D. A. (2020) · PLoS Biology · doi:10.1371/journal.pbio.3000859 · Cited by 111 · see citing works
Single-cell genomic approaches for developing the next generation of immunotherapies
Yofe, I., Dahan, R., & Amit, I. (2020) · Nature Medicine · doi:10.1038/s41591-019-0736-4 · Cited by 110 · see citing works
Self-citationUnderstanding the heterogeneity of resident liver macrophages
Blériot, C., & Ginhoux, F. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.02694 · Cited by 107 · see citing works
Wang, S., Zhang, Q., Hui, H., Agrawal, K., Karris, M., & Rana, T. M. (2020) · Emerging Microbes & Infections · doi:10.1080/22221751.2020.1826361 · Cited by 99 · see citing works
Single-cell profiling to explore pancreatic cancer heterogeneity, plasticity and response to therapy
Bärthel, S., Falcomatà, C., Rad, R., Theis, F. J., & Saur, D. (2023) · Nature Cancer · doi:10.1038/s43018-023-00526-x · Cited by 101 · see citing works
A temporal perspective for tumor-associated macrophage identities and functions
Blériot, C., Dunsmore, G., Alonso‐Curbelo, D., & Ginhoux, F. (2024) · Cancer Cell · doi:10.1016/j.ccell.2024.04.002 · Cited by 98 · see citing works
Single-cell immunology: Past, present, and future
Ginhoux, F., Yalin, A., Dutertre, C., & Amit, I. (2022) · Immunity · doi:10.1016/j.immuni.2022.02.006 · Cited by 93 · see citing works
Self-citationYofe, I., Landsberger, T., Yalin, A., Solomon, I., Costoya, C., Demane, D. F., Shah, M., David, E., Borenstein, C., Barboy, O., et al. (2022) · Nature Cancer · doi:10.1038/s43018-022-00447-1 · Cited by 75 · see citing works
Self-citationMulti-Omics Profiling of the Tumor Microenvironment: Paving the Way to Precision Immuno-Oncology
Finotello, F., & Eduati, F. (2018) · Frontiers in Oncology · doi:10.3389/fonc.2018.00430 · Cited by 75 · see citing works
Immune response after central nervous system injury
Salvador, A. F., & Kipnis, J. (2022) · Seminars in Immunology · doi:10.1016/j.smim.2022.101629 · Cited by 69 · see citing works
Single-Cell Transcriptomics in Cancer Immunobiology: The Future of Precision Oncology
Valdés‐Mora, F., Handler, K., Law, A. M. K., Salomon, R., Oakes, S. R., Ormandy, C. J., & Gallego‐Ortega, D. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.02582 · Cited by 68 · see citing works
Nagaoka, K., Shirai, M., Taniguchi, K., Hosoi, A., Sun, C., Kobayashi, Y., Maejima, K., Fujita, M., Nakagawa, H., Nomura, S., et al. (2020) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2020-001358 · Cited by 67 · see citing works
Exploring single cells in space and time during tissue development, homeostasis and regeneration
Mayr, U., Serra, D., & Liberali, P. (2019) · Development · doi:10.1242/dev.176727 · Cited by 63 · see citing works
Troutman, T. D., Kofman, E. R., & Glass, C. K. (2021) · Molecular Cell · doi:10.1016/j.molcel.2021.08.004 · Cited by 60 · see citing works
Bai, Z., Deng, Y., Kim, D., Chen, Z., Xiao, Y., & Fan, R. (2020) · ACS Nano · doi:10.1021/acsnano.0c02953 · Cited by 57 · see citing works
Yu, J., Peng, J., & Chi, H. (2019) · Current Opinion in Systems Biology · doi:10.1016/j.coisb.2019.03.003 · Cited by 60 · see citing works
Blecher‐Gonen, R., Bost, P., Hilligan, K. L., David, E., Salame, T. M., Roussel, E., Connor, L. M., Mayer, J. U., Halpern, K. B., Tóth, B., et al. (2019) · Cell Systems · doi:10.1016/j.cels.2019.01.001 · Cited by 51 · see citing works
Self-citationPrognostic and Immunological Role of FUN14 Domain Containing 1 in Pan-Cancer: Friend or Foe?
Yuan, Q., Sun, N., Zheng, J., Wang, Y., Yan, X., Mai, W., Liao, Y., & Chen, X. (2020) · Frontiers in Oncology · doi:10.3389/fonc.2019.01502 · Cited by 52 · see citing works
Network Approaches for Dissecting the Immune System
Shi, H., Yan, K., Ding, L., Qian, C., Chi, H., & Yu, J. (2020) · iScience · doi:10.1016/j.isci.2020.101354 · Cited by 50 · see citing works
Peskov, K. V., Azarov, I., Chu, L., Voronova, V., Kosinsky, Y., & Helmlinger, G. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.00924 · Cited by 42 · see citing works
Single‐cell omics: Overview, analysis, and application in biomedical science
Stein, C. M., Weiskirchen, R., Damm, F., & Strzelecka, P. M. (2021) · Journal of Cellular Biochemistry · doi:10.1002/jcb.30134 · Cited by 42 · see citing works
Multiplexed high-throughput immune cell imaging reveals molecular health-associated phenotypes
Severin, Y., Hale, B. D., Mena, J., Goslings, D. A. M., Frey, B. M., & Snijder, B. (2022) · Science Advances · doi:10.1126/sciadv.abn5631 · Cited by 42 · see citing works
Insights into rheumatic diseases from next-generation sequencing
Donlin, L. T., Park, S. H., Γιαννοπούλου, Ε., Ivovic, A., Park‐Min, K., Siegel, R. M., & Ivashkiv, L. B. (2019) · Nature Reviews Rheumatology · doi:10.1038/s41584-019-0217-7 · Cited by 42 · see citing works
From the Human Cell Atlas to dynamic immune maps in human disease
Adlung, L., & Amit, I. (2018) · Nature reviews. Immunology · doi:10.1038/s41577-018-0050-2 · Cited by 36 · see citing works
Self-citationCotugno, N., Ruggiero, A., Santilli, V., Manno, E. C., Rocca, S., Zicari, S., Amodio, D., Colucci, M., Rossi, P., Levy, O., et al. (2019) · Journal of Immunology Research · doi:10.1155/2019/8732191 · Cited by 35 · see citing works
An integrative pan-cancer analysis of COPB1 based on data mining
Chen, H., Li, K., Li, Y., Xie, P., He, J., & Zhang, H. (2020) · Cancer Biomarkers · doi:10.3233/cbm-200398 · Cited by 33 · see citing works
Natural killer cell awakening: unleash cancer-immunity cycle against glioblastoma
Wang, M., Zhou, Z., Wang, X., Zhang, C., & Jiang, X. (2022) · Cell Death and Disease · doi:10.1038/s41419-022-05041-y · Cited by 33 · see citing works
Applications of Single-Cell Omics to Dissect Tumor Microenvironment
Guo, T., Li, W., & Cai, X. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2020.548719 · Cited by 33 · see citing works
Immunological Role and Prognostic Value of APBB1IP in Pan-Cancer Analysis
Ge, Q., Li, G., Chen, J., Song, J., Cai, G., He, Y., Zhang, X., Liang, H., Ding, Z., & Zhang, B. (2020) · Journal of Cancer · doi:10.7150/jca.50785 · Cited by 32 · see citing works
Advances in single-cell sequencing: insights from organ transplantation
Wang, Y., Wang, J., Schnieke, A., & Fischer, K. (2021) · Military Medical Research · doi:10.1186/s40779-021-00336-1 · Cited by 31 · see citing works
Deep Learning in Single-cell Analysis
Molho, D., Ding, J., Tang, W., Li, Z., Wen, H., Wang, Y., Venegas, J., Jin, W., Liu, R., Su, R., et al. (2024) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/3641284 · Cited by 32 · see citing works
The origin, fate and function of macrophages in the peripheral nervous system—an update
Amann, L., & Prinz, M. (2020) · International Immunology · doi:10.1093/intimm/dxaa030 · Cited by 30 · see citing works
PPP1R14B Is a Prognostic and Immunological Biomarker in Pan-Cancer
Deng, M., Peng, L., Li, J., Liu, X., Xia, X., & Li, G. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.763561 · Cited by 29 · see citing works
Maïer, B., Tsai, A. S., Einhaus, J. F., Désilles, J., Ho‐Tin‐Noé, B., Gory, B., Sirota, M., Leigh, R. J., Lemmens, R., Albers, G. W., et al. (2023) · Seminars in Immunopathology · doi:10.1007/s00281-023-00984-6 · Cited by 29 · see citing works
Candelli, T., Schneider, P., Castro, P. G., Jones, L., Bodewes, E., Rockx-Brouwer, D., Pieters, R., Holstege, F. C. P., Margaritis, T., & Stam, R. W. (2021) · Leukemia · doi:10.1038/s41375-021-01341-y · Cited by 29 · see citing works
Gong, X., Su, L., Huang, J., Liu, J., Wang, Q., Luo, X., Yang, G., & Chi, H. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1381272 · Cited by 27 · see citing works
Pham, T. H. M., Xue, Y., Brewer, S. M., Bernstein, K. E., Quake, S. R., & Monack, D. M. (2023) · Science Advances · doi:10.1126/sciadv.add4333 · Cited by 25 · see citing works
Nanoelectrochemical biosensors for monitoring ROS in cancer cells
Wang, Y., Feng, H., Zhang, H., Chen, Y., Huang, W., Zhang, J., Jiang, X., Wang, M., Jiang, H., & Wang, X. (2019) · The Analyst · doi:10.1039/c9an02390a · Cited by 26 · see citing works
Wang, L., Felts, S. J., Keulen, V. P. V., Scheid, A. D., Block, M. S., Markovic, S. N., Pease, L. R., & Zhang, Y. (2018) · Cancer Research · doi:10.1158/0008-5472.can-18-0529 · Cited by 25 · see citing works
Jin, F., Ou, W., Wei, B., Fan, H., Wei, C., Fang, D., Li, G., Liu, W., Liu, J., Jin, L., et al. (2021) · Journal of Inflammation Research · doi:10.2147/jir.s315281 · Cited by 25 · see citing works
Landscape of Exhausted T Cells in Tuberculosis Revealed by Single-Cell Sequencing
Pan, J., Zhang, X., Xu, J., Chang, Z., Xin, Z., & Wang, G. (2023) · Microbiology Spectrum · doi:10.1128/spectrum.02839-22 · Cited by 25 · see citing works
Cartography of Genomic Interactions Enables Deep Analysis of Single-Cell Expression Data
Islam, M. T., & Xing, L. (2023) · Nature Communications · doi:10.1038/s41467-023-36383-6 · Cited by 24 · see citing works
Next-Generation Neuroimmunology: New Technologies to Understand Central Nervous System Autoimmunity
zu Hörste, G. M., Groß, C. C., Klotz, L., Schwab, N., & Wiendl, H. (2020) · Trends in Immunology · doi:10.1016/j.it.2020.02.005 · Cited by 24 · see citing works
Monocyte Single-Cell Multimodal Profiling in Cardiovascular Disease Risk States
Bashore, A. C., Xue, C., Kim, E., Yan, H., Zhu, L. Y., Pan, H., Kissner, M. D., Ross, L. S., Zhang, H., Li, M., et al. (2024) · Circulation Research · doi:10.1161/circresaha.124.324457 · Cited by 22 · see citing works
Digital PCR for Single-Cell Analysis
Fang, W., Liu, X., Maiga, M., Cao, W., Mu, Y., Yan, Q., & Zhu, Q. (2024) · Biosensors · doi:10.3390/bios14020064 · Cited by 22 · see citing works
Cancer research in the era of immunogenomics
Wolf, Y., & Samuels, Y. (2018) · ESMO Open · doi:10.1136/esmoopen-2018-000475 · Cited by 20 · see citing works
Expression of Urea Transporter B in Normal and Injured Brain
Huang, B., Wang, H., Zhong, D., Meng, J., Li, M., Yang, B., & Ran, J. (2021) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2021.591726 · Cited by 19 · see citing works
Single-cell sequencing in hematology
Brierley, C. K., & Mead, A. J. (2019) · Current Opinion in Oncology · doi:10.1097/cco.0000000000000613 · Cited by 19 · see citing works
Thakral, D., Gupta, R., & Khan, A. (2022) · Stem Cell Reviews and Reports · doi:10.1007/s12015-022-10349-5 · Cited by 17 · see citing works
Lessons From Transcriptome Analysis of Autoimmune Diseases
Nagafuchi, Y., Yanaoka, H., & Fujio, K. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.857269 · Cited by 18 · see citing works
Prognostic and Immunological Value of Angiotensin-Converting Enzyme 2 in Pan-Cancer
Feng, H., Wei, X., Pang, L., Wu, Y., Hu, B., Ruan, Y., Liu, Z., Liu, J., & Wang, T. (2020) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2020.00189 · Cited by 18 · see citing works
Xie, Z., Xie, Z., Pineda-Trujillo, N., Yang, T., & Yang, C. (2022) · Bioscience Reports · doi:10.1042/bsr20221030 · Cited by 17 · see citing works
Single-Cell RNA-Sequencing in Astrocyte Development, Heterogeneity, and Disease
Gao, M.-Y., Wang, J., He, J. M., Gao, R., Zhang, Y., & Li, X. (2023) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-023-01397-7 · Cited by 20 · see citing works
Alterations of multiple alveolar macrophage states in chronic obstructive pulmonary diseasePreprint
Bassler, K. E., Fujii, W., Kapellos, T. S., Horne, A., Reiz, B., Dudkin, E., Luecken, M. D., Reusch, N., Osei-Sarpong, C., Warnat‐Herresthal, S., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.05.28.121541 · Cited by 16 · see citing works
Blood-based analyses of cancer: Circulating myeloid-derived suppressor cells – is a new era coming?
Okła, K., Wertel, I., Wawruszak, A., Bobiński, M. S., & Kotarski, J. (2018) · Critical Reviews in Clinical Laboratory Sciences · doi:10.1080/10408363.2018.1477729 · Cited by 17 · see citing works
CRISPR Technique Incorporated with Single-Cell RNA Sequencing for Studying Hepatitis B Infection
Le, C., Liu, Y., López-Orozco, J., Joyce, M., Le, X. C., & Tyrrell, D. L. (2021) · Analytical Chemistry · doi:10.1021/acs.analchem.1c02227 · Cited by 16 · see citing works
Lieberman, B., Kusi, M., Hung, C., Chou, C., Ning, H., Ho, Y., Taverna, J. A., Huang, T. H. ‐., & Chen, C. (2020) · Journal of Translational Genetics and Genomics · doi:10.20517/jtgg.2020.51 · Cited by 15 · see citing works
High-Dimensional Single-Cell Transcriptomics in Melanoma and Cancer Immunotherapy
Quek, C. Y. J., Bai, X., Long, G. V., Scolyer, R. A., & Wilmott, J. S. (2021) · Genes · doi:10.3390/genes12101629 · Cited by 16 · see citing works
Single‐cell transcriptomics reveals prominent expression of IL‐14, IL‐18, and IL‐32 in psoriasis
Frost, B., Schmidt, M., Klein, B., Loeffler‐Wirth, H., Krohn, K., Reidenbach, T., Binder, H., Stubenvoll, A., Simon, J. C., Saalbach, A., et al. (2023) · European Journal of Immunology · doi:10.1002/eji.202250354 · Cited by 14 · see citing works
DANCE: a deep learning library and benchmark platform for single-cell analysis
Ding, J., Liu, R., Wen, H., Tang, W., Li, Z., Venegas, J., Su, R., Molho, D., Jin, W., Wang, Y., et al. (2024) · Genome biology · doi:10.1186/s13059-024-03211-z · Cited by 14 · see citing works
Iqbal, M. M., Hurgobin, B., Holme, A. L., Appels, R., & Kaur, P. (2020) · Cytometry Part A · doi:10.1002/cyto.a.24196 · Cited by 14 · see citing works
Berghe, T. V., & Hoste, E. A. J. (2018) · Cell Death and Differentiation · doi:10.1038/s41418-018-0196-2 · Cited by 14 · see citing works
Scortegagna, M., Murad, R., Bina, P., Feng, Y., Porritt, R. A., Terskikh, A. V., Tian, X., Adams, P. D., Vuori, K., & Ronai, Z. A. (2025) · Cancer Research · doi:10.1158/0008-5472.can-24-4317 · Cited by 13 · see citing works
Visual Genomics Analysis Studio as a Tool to Analyze Multiomic Data
Hertzman, R. J., Deshpande, P., Leary, S., Li, Y., Ram, R., Chopra, A., Cooper, D., Watson, M. W., Palubinsky, A. M., Mallal, S. A., et al. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.642012 · Cited by 13 · see citing works
Shifting Gears in Precision Oncology—Challenges and Opportunities of Integrative Data Analysis
Noh, K., Buettner, R., & Klein, S. (2021) · Biomolecules · doi:10.3390/biom11091310 · Cited by 12 · see citing works
Wang, X., Li, D., Zhu, B., & Hua, Z. (2024) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2024.1466767 · Cited by 12 · see citing works
Whispering Gallery Mode Micro/Nanolasers for Intracellular Probing at Single Cell Resolution
Fu, Y., Lin, S., & Wang, X. (2024) · ACS Sensors · doi:10.1021/acssensors.4c01634 · Cited by 12 · see citing works
- Authors
- Giladi, A., & Amit, I.
- Affiliations
- Weizmann Institute of Science (IL)
- Corresponding author
- Amit, Ido
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 172
- Issue
- 1-2
- Pages
- 14-21
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2783406084
- Cited by
- 168
- References
- 99
- Citations by year
- 2026: 8 · 2025: 9 · 2024: 15 · 2023: 18 · 2022: 20 · 2021: 22 · 2020: 31 · 2019: 28 · 2018: 17
- FWCI
- 2.40
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- Funders
- European Research Council Consolidator (724471-HemTree2.0)
- Melanoma Research Alliance Established Investigator Award (509044)
- Israel Science Foundation (703/15)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Keywords
- single-cell genomics, immune cell heterogeneity, immune cell classification, clonal distribution, immune cell crosstalk, single-cell RNA sequencing, immunotherapy
- MeSH terms
- Animals, Humans, Immunologic Techniques, Immunotherapy, Genomics, Single-Cell Analysis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review