Atherosclerosis in the single-cell era
Open accessAbstract
Purpose of review: The immune system plays a critical role in the development and modulation of atherosclerosis. New high-parameter technologies, including mass cytometry (CyTOF) and single-cell RNA sequencing (scRNAseq), allow for an encompassing analysis of immune cells. Unexplored marker combinations and transcriptomes can define new immune cell subsets and suggest their functions. Here, we review recent advances describing the immune cells in the artery wall of mice with and without atherosclerosis. We compare technologies and discuss limitations and advantages. Recent findings: Both CyTOF and scRNAseq on leukocytes from digested aortae show 10–30 immune cell subsets. Myeloid, T, B and natural killer cells were confirmed. Although cellular functions can be inferred from RNA-Seq data, some subsets cannot be identified based on current knowledge, suggesting they may be new cell types. CyTOF and scRNAseq each identified four B-cell subsets and three macrophage subsets in the atherosclerotic aorta. Limitations include cell death caused by enzymatic digestion and the limited depth of the scRNAseq transcriptomes. Summary: High-parameter methods are powerful tools for uncovering leukocyte diversity. CyTOF is currently more powerful at discerning leukocyte subsets in the atherosclerotic aorta, whereas scRNAseq provides more insight into their likely functions.
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Human and mouse atherosclerotic plaques contain mostly macrophages.
“Both human and mouse atherosclerotic plaques are populated mostly by macrophages134,135.”
From Inflammation and its resolution in atherosclerosis: mediators and therapeutic opportunities (2019) · cites this paper as [134]
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Cites
Robust enumeration of cell subsets from tissue expression profiles
Newman, A. M., Liu, C. L., Green, M. R., Gentles, A. J., Feng, W., Xu, Y., Hoang, C. D., Diehn, M., & Alizadeh, A. A. (2015) · Nature Methods · doi:10.1038/nmeth.3337 · Cited by 12,116 · see citing works
Massively parallel digital transcriptional profiling of single cells
Zheng, G. X. Y., Terry, J. M., Belgrader, P., Ryvkin, P., Bent, Z. W., Wilson, R., Ziraldo, S. B., Wheeler, T. D., McDermott, G. P., Zhu, J., et al. (2017) · Nature Communications · doi:10.1038/ncomms14049 · Cited by 7,353 · 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
The prognostic landscape of genes and infiltrating immune cells across human cancers
Gentles, A. J., Newman, A. M., Liu, C. L., Bratman, S. V., Feng, W., Kim, D., Nair, V. S., Xu, Y., Khuong, A., Hoang, C. D., et al. (2015) · Nature Medicine · doi:10.1038/nm.3909 · Cited by 3,097 · see citing works
Smart-seq2 for sensitive full-length transcriptome profiling in single cells
Picelli, S., Björklund, Å. K., Faridani, O. R., Sagasser, S., Winberg, G., & Sandberg, R. (2013) · Nature Methods · doi:10.1038/nmeth.2639 · Cited by 2,358 · 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
the Immunological Genome Consortium, Gautier, E. L., Shay, T., Miller, J., Greter, M., Jakubzick, C., Ivanov, S., Helft, J., Chow, A., Elpek, K. G., et al. (2012) · Nature Immunology · doi:10.1038/ni.2419 · Cited by 1,972 · see citing works
Full-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
Comparative Analysis of Single-Cell RNA Sequencing Methods
Ziegenhain, C., Vieth, B., Parekh, S., Reinius, B., Guillaumet-Adkins, A., Smets, M., Leonhardt, H., Heyn, H., Hellmann, I., & Enard, W. (2017) · Molecular Cell · doi:10.1016/j.molcel.2017.01.023 · Cited by 1,494 · see citing works
Świrski, F. K., Libby, P., Aikawa, E. R., Alcaide, P., Luscinskas, F. W., Weissleder, R., & Pittet, M. J. (2007) · Journal of Clinical Investigation · doi:10.1172/jci29950 · Cited by 1,258 · see citing works
Shankman, L. S., Gomez, D., Cherepanova, O. A., Salmon, M., Alencar, G. F., Haskins, R. M., Swiatlowska, P., Newman, A. A. C., Greene, E. S., Straub, A. C., et al. (2015) · Nature Medicine · doi:10.1038/nm.3866 · Cited by 1,218 · see citing works
Mass Cytometry: Single Cells, Many Features
Spitzer, M. H., & Nolan, G. P. (2016) · Cell · doi:10.1016/j.cell.2016.04.019 · Cited by 1,199 · see citing works
Buettner, F., Natarajan, K. N., Casale, F. P., Proserpio, V., Scialdone, A., Theis, F. J., Teichmann, S. A., Marioni, J. C., & Stegle, O. (2015) · Nature Biotechnology · doi:10.1038/nbt.3102 · Cited by 1,136 · see citing works
Local proliferation dominates lesional macrophage accumulation in atherosclerosis
Robbins, C. S., Hilgendorf, I., Weber, G. F., Theurl, I., Iwamoto, Y., Figueiredo, J.-L., Gorbatov, R., Sukhova, G. K., Gerhardt, L. M. S., Smyth, D., et al. (2013) · Nature Medicine · doi:10.1038/nm.3258 · Cited by 1,041 · see citing works
Frostegård, J., Ulfgren, A., Nyberg, P., Hedin, U., Swedenborg, J., Andersson, U., & Hansson, G. K. (1999) · Atherosclerosis · doi:10.1016/s0021-9150(99)00011-8 · Cited by 1,002 · see citing works
Systemic Immunity Is Required for Effective Cancer Immunotherapy
Spitzer, M. H., Carmi, Y., Reticker-Flynn, N. E., Kwek, S. S., Madhireddy, D., Martins, M. M., Gherardini, P. F., Prestwood, T. R., Chabon, J., Bendall, S. C., et al. (2017) · Cell · doi:10.1016/j.cell.2016.12.022 · Cited by 963 · see citing works
Mammalian genes are transcribed with widely different bursting kinetics
Suter, D. M., Molina, N., Gatfield, D., Schneider, K., Schibler, U., & Naef, F. (2011) · Science · doi:10.1126/science.1198817 · Cited by 927 · see citing works
A 17-gene stemness score for rapid determination of risk in acute leukaemia
Ng, S. W. K., Mitchell, A., Kennedy, J. A., Chen, W. C., McLeod, J., Ibrahimova, N., Arruda, A., Popescu, A., Gupta, V., Schimmer, A. D., et al. (2016) · Nature · doi:10.1038/nature20598 · Cited by 912 · see citing works
Cochain, C., Vafadarnejad, E., Arampatzi, P., Pelisek, J., Winkels, H., Ley, K., Wolf, D., Saliba, A.-E., & Zernecke, A. (2018) · Circulation Research · doi:10.1161/circresaha.117.312509 · Cited by 894 · see citing works
Self-citationInflammation and plaque vulnerability
Hansson, G. K., Libby, P., & Tabas, I. A. (2015) · Journal of Internal Medicine · doi:10.1111/joim.12406 · Cited by 809 · see citing works
Shankman, L. S., Gomez, D. A., Cherepanova, O. A., Salmon, M., Alencar, G. F., Haskins, R. M., Swiatlowska, P., Newman, A. A. C., Greene, E. S., Straub, A. C., et al. (2016) · Nature Medicine · doi:10.1038/nm0216-217a · Cited by 775 · see citing works
Hyperlipidemia-triggered neutrophilia promotes early atherosclerosis
Drechsler, M., Megens, R. T. A., van Zandvoort, M., Weber, C., & Soehnlein, O. (2010) · Circulation · doi:10.1161/circulationaha.110.961714 · Cited by 698 · see citing works
Transdifferentiation of Vascular Smooth Muscle Cells to Macrophage-Like Cells During Atherogenesis
Feil, S., Fehrenbacher, B., Lukowski, R., Essmann, F., Schulze-Osthoff, K., Schaller, M., & Feil, R. (2014) · Circulation Research · doi:10.1161/circresaha.115.304634 · Cited by 578 · see citing works
Winkels, H., Ehinger, E., Vassallo, M., Buscher, K., Dinh, H. Q., Kobiyama, K., Hamers, A. A. J., Cochain, C., Vafadarnejad, E., Saliba, A.-E., et al. (2018) · Circulation Research · doi:10.1161/circresaha.117.312513 · Cited by 547 · see citing works
Self-citationDöring, Y., Manthey, H. D., Drechsler, M. D., Lievens, D., Megens, R. T. A., Soehnlein, O., Busch, M., Manca, M., Koenen, R. R., Pelisek, J., et al. (2012) · Circulation · doi:10.1161/circulationaha.111.046755 · Cited by 459 · see citing works
Galkina, E., Kadl, A., Sanders, J., Varughese, D., Sarembock, I. J., & Ley, K. F. (2006) · The Journal of Experimental Medicine · doi:10.1084/jem.20052205 · Cited by 451 · see citing works
Self-citationBlockade of Interleukin-17A Results in Reduced Atherosclerosis in Apolipoprotein E–Deficient Mice
Smith, E. E., Prasad, K.-M. R., Butcher, M. J., Dobrian, A. D., Kolls, J. K., Ley, K. F., & Galkina, E. (2010) · Circulation · doi:10.1161/circulationaha.109.924886 · Cited by 422 · see citing works
Self-citationAmit, I., Winter, D. R., & Jung, S. (2015) · Nature Immunology · doi:10.1038/ni.3325 · Cited by 406 · see citing works
Gräbner, R., Lötzer, K., Döpping, S., Hildner, M., Radke, D., Beer, M., Spanbroek, R., Lippert, B., Reardon, C. A., Getz, G. S., et al. (2009) · The Journal of Experimental Medicine · doi:10.1084/jem.20080752 · Cited by 398 · see citing works
Ensan, S., Li, A., Besla, R., Degousee, N., Cosme, J., Roufaiel, M., Shikatani, E. A., El-Maklizi, M., Williams, J. W., Robins, L., et al. (2016) · Nature Immunology · doi:10.1038/ni.3343 · Cited by 372 · see citing works
Clinical recovery from surgery correlates with single-cell immune signatures
Gaudilliere, B. L., Fragiadakis, G. K., Bruggner, R. V., Nicolau, M. M., Finck, R., Tingle, M. S., Silva, J., Ganio, E. A., Yeh, C. G., Maloney, W. J., et al. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3009701 · Cited by 333 · see citing works
Paulson, K. E., Zhu, S.-N., Chen, M., Nurmohamed, S., Jongstra‐Bilen, J., & Cybulsky, M. I. (2009) · Circulation Research · doi:10.1161/circresaha.109.210781 · Cited by 316 · see citing works
Rahman, K., Vengrenyuk, Y., Ramsey, S., Vila, N. R., Girgis, N., Liu, J.-H., Gusarova, V., Gromada, J., Weinstock, A., Moore, K., et al. (2017) · Journal of Clinical Investigation · doi:10.1172/jci75005 · Cited by 311 · see citing works
Dynamic T cell–APC interactions sustain chronic inflammation in atherosclerosis
Koltsova, E. K., Garcia, Z., Chodaczek, G., Landau, M., McArdle, S., Scott, S. R., von Vietinghoff, S., Galkina, E., Miller, Y. I., Acton, S. T., et al. (2012) · Journal of Clinical Investigation · doi:10.1172/jci61758 · Cited by 252 · see citing works
Self-citationSpatial 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
Butcher, M. J., Filipowicz, A. R., Waseem, T. C., McGary, C. M., Crow, K. J., Magilnick, N., Boldin, M., Lundberg, P. S., & Galkina, E. (2016) · Circulation Research · doi:10.1161/circresaha.116.309764 · Cited by 199 · see citing works
Majesky, M. W., Horita, H. N., Ostriker, A. C., Lu, S., Regan, J. N., Bagchi, A. K., Dong, X. R., Poczobutt, J. M., Nemenoff, R. A., & Weiser‐Evans, M. C. M. (2016) · Circulation Research · doi:10.1161/circresaha.116.309322 · Cited by 194 · see citing works
Genetically Programmed Biases in Th1 and Th2 Immune Responses Modulate Atherogenesis
Schulte, S., Sukhova, G. K., & Libby, P. (2008) · American Journal Of Pathology · doi:10.2353/ajpath.2008.070776 · Cited by 189 · see citing works
Dynamic Changes in Regulatory T Cells Are Linked to Levels of Diet-Induced Hypercholesterolemia
Maganto-García, E., Tarrio, M. L., Grabie, N., Bu, D.-X., & Lichtman, A. H. (2011) · Circulation · doi:10.1161/circulationaha.110.006411 · Cited by 188 · see citing works
Cole, J. E., Park, I., Ahern, D., Kassiteridi, C., Danso‐Abeam, D., Goddard, M. E., Green, P. A., Maffia, P., & Monaco, C. G. (2018) · Cardiovascular Research · doi:10.1093/cvr/cvy109 · Cited by 172 · see citing works
Clément, M., Guedj, K., Andreata, F., Morvan, M., Bey, L., Khallou‐Laschet, J., Gaston, A., Delbosc, S., Alsac, J.-M., Bruneval, P., et al. (2015) · Circulation · doi:10.1161/circulationaha.114.010988 · Cited by 165 · see citing works
Trogan, E., Choudhury, R. P., Dansky, H. M., Rong, J. X., Breslow, J. L., & Fisher, E. A. A. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.042683999 · Cited by 163 · see citing works
CCR5 + T-bet + FoxP3 + Effector CD4 T Cells Drive Atherosclerosis
Li, J., McArdle, S., Gholami, A. M., Kimura, T., Wolf, D., Gerhardt, T., Miller, J. F., Weber, C., & Ley, K. F. (2016) · Circulation Research · doi:10.1161/circresaha.116.308648 · Cited by 142 · see citing works
Self-citationCochain, C., Koch, M., Chaudhari, S. M., Busch, M., Pelisek, J., Boon, L., & Zernecke, A. (2015) · Circulation Research · doi:10.1161/circresaha.117.304611 · Cited by 139 · see citing works
Galkina, E., Harry, B. L., Ludwig, A., Liehn, E. A., Sanders, J. M., Bruce, A. C., Weber, C., & Ley, K. F. (2007) · Circulation · doi:10.1161/circulationaha.106.678474 · Cited by 135 · see citing works
Self-citationDaissormont, I., Christ, A., Temmerman, L., Sampedro, S., Seijkens, T. T. P., Manca, M., Rousch, M., Poggi, M., Boon, L., van der Loos, C. M., et al. (2011) · Circulation Research · doi:10.1161/circresaha.111.256529 · Cited by 135 · see citing works
Good, Z., Sarno, J., Jager, A., Samusik, N., Aghaeepour, N., Simonds, E. F., White, L., Lacayo, N. J., Fantl, W. J., Fazio, G., et al. (2018) · Nature Medicine · doi:10.1038/nm.4505 · Cited by 133 · see citing works
Buscher, K., Ehinger, E., Gupta, P. P., Pramod, A. B., Wolf, D., Tweet, G., Pan, C., Mills, C. D., Lusis, A. J., & Ley, K. F. (2017) · Nature Communications · doi:10.1038/ncomms16041 · Cited by 120 · see citing works
Self-citationType-2 innate lymphoid cells control the development of atherosclerosis in mice
Newland, S. A., Mohanta, S. K., Clément, M., Taleb, S., Walker, J. A., Nus, M., Sage, A. P., Yin, C., Hu, D., Kitt, L., et al. (2017) · Nature Communications · doi:10.1038/ncomms15781 · Cited by 119 · see citing works
Folkersen, L., Persson, J., Ekstrand, J., Agardh, H. E., Hansson, G. K., Gabrielsen, A., Hedin, U., & Paulsson‐Berne, G. (2012) · Molecular Medicine · doi:10.2119/molmed.2011.00479 · Cited by 88 · see citing works
Flow Cytometry Analysis of Immune Cells Within Murine Aortas
Butcher, M. J., Herre, M., Ley, K. F., & Galkina, E. (2011) · Journal of Visualized Experiments · doi:10.3791/2848 · Cited by 86 · see citing works
Self-citationCortese, R., Gileles‐Hillel, A., Khalyfa, A., Almendros, I., Akbarpour, M., Khalyfa, A. A., Qiao, Z., Garcia, T., Andrade, J., & Gozal, D. (2017) · Scientific Reports · doi:10.1038/srep43648 · Cited by 67 · see citing works
Tuomisto, T. T., Korkeela, A., Rutanen, J., et al. (2003) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/01.atv.0000102551.91154.96 · Cited by 62 · see citing works
Expansion of CD25 + Innate Lymphoid Cells Reduces Atherosclerosis
Engelbertsen, D., Foks, A. C., Alberts‐Grill, N., Kuperwaser, F., Chen, T., Lederer, J. A., Jarolı́m, P., Grabie, N., & Lichtman, A. H. (2015) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.115.306048 · Cited by 49 · see citing works
Live cell imaging to understand monocyte, macrophage, and dendritic cell function in atherosclerosis
McArdle, S., Mikulski, Z., & Ley, K. F. (2016) · The Journal of Experimental Medicine · doi:10.1084/jem.20151885 · Cited by 47 · see citing works
Self-citationVu, D. M., Tai, A., Tatro, J. B., Karas, R. H., Huber, B. T., & Beasley, D. (2014) · PLoS ONE · doi:10.1371/journal.pone.0109416 · Cited by 39 · see citing works
Flow Cytometric Analysis of Immune Cells Within Murine Aorta
Gjurich, B. N., Taghavie-Moghadam, P. L., & Galkina, E. (2015) · Methods in molecular biology · doi:10.1007/978-1-4939-2929-0_11 · Cited by 33 · see citing works
Flow Cytometry Analysis of Immune Cells Within Murine Aortas
Butcher, M. J., Herre, M., Ley, K. F., & Galkina, E. (2011) · Journal of Visualized Experiments · doi:10.3791/2848-v · Cited by 25 · see citing works
Self-citationLinking CD11b+Dendritic Cells and Natural Killer T Cells to Plaque Inflammation in Atherosclerosis
Rombouts, M., Ammi, R., Brussel, I. V., Roth, L., Winter, B. Y. D., Vercauteren, S. R., Hendriks, J. M., Lauwers, P., Schil, P. E. V., Meyer, G. R. Y. D., et al. (2016) · Mediators of Inflammation · doi:10.1155/2016/6467375 · Cited by 24 · see citing works
Laser-Capture Microdissection of Hyperlipidemic/ApoE−/− Mouse Aorta Atherosclerosis
Beer, M., Doepping, S., Hildner, M., et al. (2011) · Methods in molecular biology · doi:10.1007/978-1-61779-163-5_35 · Cited by 21 · see citing works
Discovering transcriptional signatures of disease for diagnosis versus mechanism
Burel, J. G., & Peters, B. (2018) · Nature reviews. Immunology · doi:10.1038/nri.2018.26 · Cited by 19 · see citing works
Yin, C., Mohanta, S. K., Ma, Z., et al. (2015) · Methods in molecular biology · doi:10.1007/978-1-4939-2929-0_20 · Cited by 12 · see citing works
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Mosquera, J. V., Auguste, G., Wong, D., Turner, A. W., Hodonsky, C. J., Alvarez-Yela, A. C., Song, Y., Cheng, Q., Lino Cardenas, C. L., Theofilatos, K., et al. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.113380 · Cited by 123 · see citing works
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- Authors
- Winkels, H., Ehinger, E., Ghosheh, Y., Wolf, D., & Ley, K.
- Affiliations
- La Jolla Institute for Immunology (US)
- Corresponding author
- Ley, Klaus
- Venue
- Current Opinion in Lipidology
- Published
- 2018-10
- Volume
- 29
- Issue
- 5
- Pages
- 389-396
- ISSN
- 0957-9672 (ISSN-L)
- 1473-6535
- PMC
- PMC6314310
- OpenAlex
- W2883020052
- Cited by
- 54
- References
- 63
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 5 · 2023: 9 · 2022: 7 · 2021: 9 · 2020: 9 · 2019: 9
- FWCI
- 0.69
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Current Opinion in Lipidology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (1s10od018499-01)
- National Heart, Lung, and Blood Institute (R01HL121697, R01HL115232, P01HL088093, P01HL136275)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › Atherosclerosis and Cardiovascular Diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Health Sciences › Medicine › Surgery › Cholesterol and Lipid Metabolism
- Keywords
- atherosclerosis, immune cells, aortic atherosclerosis, mass cytometry, single-cell RNA sequencing, immune cell subsets, B cell subsets, macrophage subsets, myeloid cells, T cells, natural killer cells, mouse model
- MeSH terms
- Animals, Humans, Prognosis, Sequence Analysis, RNA, Atherosclerosis, Single-Cell Analysis, Transcriptome
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