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The immune cell landscape in kidneys of patients with lupus nephritis
Open accessAbstract
Lupus nephritis is a potentially fatal autoimmune disease for which the current treatment is ineffective and often toxic. To develop mechanistic hypotheses of disease, we analyzed kidney samples from patients with lupus nephritis and from healthy control subjects using single-cell RNA sequencing. Our analysis revealed 21 subsets of leukocytes active in disease, including multiple populations of myeloid cells, T cells, natural killer cells and B cells that demonstrated both pro-inflammatory responses and inflammation-resolving responses. We found evidence of local activation of B cells correlated with an age-associated B-cell signature and evidence of progressive stages of monocyte differentiation within the kidney. A clear interferon response was observed in most cells. Two chemokine receptors, CXCR4 and CX3CR1, were broadly expressed, implying a potentially central role in cell trafficking. Gene expression of immune cells in urine and kidney was highly correlated, which would suggest that urine might serve as a surrogate for kidney biopsies. Much about the kidney-resident immune populations is a black box. Hacohen and colleagues use single cell RNA sequencing of kidney, skin and urine from lupus nephritis patients to describe the transcriptional state of the immune cells present in each compartment.
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Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
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
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
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
Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors
Villani, A.-C., Satija, R., Reynolds, G., Sarkizova, S., Shekhar, K., Fletcher, J., Griesbeck, M., Butler, A., Zheng, S., Lazo, S., et al. (2017) · Science · doi:10.1126/science.aah4573 · Cited by 2,413
Self-citationMolecular Signature of CD8+ T Cell Exhaustion during Chronic Viral Infection
Wherry, E. J., Ha, S.-J., Kaech, S. M., Haining, W. N., Sarkar, S., Kalia, V., Subramaniam, S., Blattman, J. N., Barber, D. L., & Ahmed, R. (2007) · Immunity · doi:10.1016/j.immuni.2007.09.006 · Cited by 2,103
Hobit and Blimp1 instruct a universal transcriptional program of tissue residency in lymphocytes
Mackay, L. K., Minnich, M., Kragten, N. A. M., Liao, Y., Nota, B., Seillet, C., Zaid, A., Man, K., Preston, S., Freestone, D., et al. (2016) · Science · doi:10.1126/science.aad2035 · Cited by 1,010
Macrophages: Development and Tissue Specialization
Varol, C., Mildner, A., & Jung, S. (2015) · Annual Review of Immunology · doi:10.1146/annurev-immunol-032414-112220 · Cited by 962
Gateways to the FANTOM5 promoter level mammalian expression atlas
Lizio, M., Harshbarger, J., Shimoji, H., Severin, J., Kasukawa, T., Sahin, S., Abugessaisa, I., Fukuda, S., Hori, F., Ishikawa-Kato, S., et al. (2015) · Genome Biology · doi:10.1186/s13059-014-0560-6 · Cited by 871
Macrophage Phenotypes Regulate Scar Formation and Chronic Wound Healing
Hesketh, M., Sahin, K. B., West, Z. E., & Murray, R. Z. (2017) · International Journal of Molecular Sciences · doi:10.3390/ijms18071545 · Cited by 852
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Ding, J., Adiconis, X., Simmons, S. K., Kowalczyk, M. S., Hession, C. C., Marjanovic, N. D., Hughes, T. K., Wadsworth, M. H., Burks, T., Nguyen, L. T., et al. (2020) · Nature Biotechnology · doi:10.1038/s41587-020-0465-8 · Cited by 871
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Tsokos, G. C. (2020) · Nature Immunology · doi:10.1038/s41590-020-0677-6 · Cited by 580
Stem-like intestinal Th17 cells give rise to pathogenic effector T cells during autoimmunity
Schnell, A., Huang, L., Singer, M., Singaraju, A., Barilla, R. M., Regan, B. M. L., Bollhagen, A., Thakore, P. I., Dionne, D., Delorey, T. M., et al. (2021) · Cell · doi:10.1016/j.cell.2021.11.018 · Cited by 268
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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
Metadata
- Authors
- the Accelerating Medicines Partnership in SLE network, Arazi, A., Rao, D. A., Berthier, C. C., Davidson, A., Liu, Y., Hoover, P. J., Chicoine, A., Eisenhaure, T. M., Jonsson, A. H., Li, S., Lieb, D. J., Zhang, F., Slowikowski, K., Browne, E. P., Noma, A., Sutherby, D., Steelman, S., Smilek, D. E., Tosta, P., Apruzzese, W., Massarotti, E., Dall’Era, M., Park, M., Kamen, D. L., Furie, R. A., Payan-Schober, F., Pendergraft, W. F., McInnis, E. A., Buyon, J. P., Petri, M. A., Putterman, C., Kalunian, K. C., Woodle, E. S., Lederer, J. A., Hildeman, D. A., Nusbaum, C., Raychaudhuri, S., Kretzler, M., Anolik, J. H., Brenner, M. B., Wofsy, D., Hacohen, N., & Diamond, B.
- Venue
- Nature Immunology
- Published
- 2019-06-17
- Volume
- 20
- Issue
- 7
- Pages
- 902-914
- ISSN
- 1529-2908 (ISSN-L)
- 1529-2916
- OpenAlex
- W2949631571
- Cited by
- 827
- References
- 14
- FWCI
- 62.90
- Type
- journal article
- Language
- en
- Open access
- green
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- the Accelerating Medicines Partnership in SLE network, Arazi, A., Rao, D. A., Berthier, C. C., Davidson, A., Liu, Y., Hoover, P. J., Chicoine, A., Eisenhaure, T. M., Jonsson, A. H., Li, S., Lieb, D. J., Zhang, F., Slowikowski, K., Browne, E. P., Noma, A., Sutherby, D., Steelman, S., Smilek, D. E., . . . Diamond, B. (2019). The immune cell landscape in kidneys of patients with lupus nephritis. Nature Immunology. https://doi.org/10.1038/s41590-019-0398-x
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