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Decoding myofibroblast origins in human kidney fibrosis
Open accessAbstract
Kidney fibrosis is the hallmark of chronic kidney disease progression; however, at present no antifibrotic therapies exist 1-3. The origin, functional heterogeneity and regulation of scar-forming cells that occur during human kidney fibrosis remain poorly understood 1,2,4. Here, using single-cell RNA sequencing, we profiled the transcriptomes of cells from the proximal and non-proximal tubules of healthy and fibrotic human kidneys to map the entire human kidney. This analysis enabled us to map all matrix-producing cells at high resolution, and to identify distinct subpopulations of pericytes and fibroblasts as the main cellular sources of scar-forming myofibroblasts during human kidney fibrosis. We used genetic fate-tracing, time-course single-cell RNA sequencing and ATAC-seq (assay for transposase-accessible chromatin using sequencing) experiments in mice, and spatial transcriptomics in human kidney fibrosis, to shed light on the cellular origins and differentiation of human kidney myofibroblasts and their precursors at high resolution. Finally, we used this strategy to detect potential therapeutic targets, and identified NKD2 as a myofibroblast-specific target in human kidney fibrosis.
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“Recent studies have implicated a range of mesenchymal progenitor cells (MPs) in the initiation and propagation of fibrosis28–30.”
From Fibrosis: from mechanisms to medicines (2020) · cites this paper as [30]
Experimental — accuracy not yet measuredIn the citing paper
“For example, fatty acids amplify the inflammatory response by interacting with transcription factors such as HNF4α and TLRs.155,156”
From Understanding the cellular interactome of non-alcoholic fatty liver disease (2022) · cites this paper as [156]
In the citing paper
“Fibroblasts, in addition to displaying significant functional heterogeneity, are capable of remarkable degrees of plasticity and phenotype switching during progression and regression of fibrosis30,35,36.”
From Fibrosis: from mechanisms to medicines (2020) · cites this paper as [30]
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Cites
The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206
limma powers differential expression analyses for RNA-sequencing and microarray studies
Ritchie, M. E., Phipson, B., Wu, D., Hu, Y., Law, C. W., Shi, W., & Smyth, G. K. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv007 · Cited by 40,458
clusterProfiler: an R Package for Comparing Biological Themes Among Gene Clusters
Yu, G., Wang, L.-G., Han, Y., & He, Q.-Y. (2012) · OMICS: A Journal of Integrative Biology · doi:10.1089/omi.2011.0118 · Cited by 36,259
Fast unfolding of communities in large networks
Blondel, V. D., Guillaume, J.-L., Lambiotte, R., & Lefebvre, E. (2008) · Journal of Statistical Mechanics: Theory and Experiment · doi:10.1088/1742-5468/2008/10/p10008 · Cited by 21,424
Comprehensive Integration of Single-Cell Data
Stuart, T., Butler, A., Hoffman, P., Hafemeister, C., Papalexi, E., Mauck, W. M., Hao, Y., Stoeckius, M., Smibert, P., & Satija, R. (2019) · Cell · doi:10.1016/j.cell.2019.05.031 · Cited by 15,453
Robinson, J. T., Thorvaldsdóttir, H., Winckler, W., Guttman, M., Lander, E. S., Getz, G., & Mesirov, J. P. (2011) · Nature Biotechnology · doi:10.1038/nbt.1754 · Cited by 15,390
Salmon provides fast and bias-aware quantification of transcript expression
Patro, R., Duggal, G., Love, M. I., Irizarry, R. A., & Kingsford, C. (2017) · Nature Methods · doi:10.1038/nmeth.4197 · Cited by 12,700
Research works printed but not linked: 2
- Macosko, E. Z. et al. Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets. Cell 161, 1202–1214 (2015). · DOI · Paper page
- Bushnell, B. BBMap: a Fast, Accurate, Splice-Aware Aligner https://www.osti.gov/biblio/1241166 (2014).
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Reck, M., Baird, D., Veizades, S. A., Sutherland, C., Bell, R. M. B., Hur, H., Cairns, C., Janas, P. P., Campbell, R., Nam, A., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-59997-4 · Cited by 72
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Xu, S., Yang, X., Chen, Q., Liu, Z., Chen, Y., Yao, X., Xiao, A., Tian, J., Xie, L., Zhou, M., et al. (2022) · EBioMedicine · doi:10.1016/j.ebiom.2022.104312 · Cited by 53
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Gu, M., Zhou, Y., Liao, N., Wei, Q., Bai, Z., Bao, N., Zhu, Y., Zhang, H., Gao, L., & Cheng, X. (2022) · Phytomedicine · doi:10.1016/j.phymed.2022.154381 · Cited by 47
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Self-citationWu, H., Dixon, E. E., Xuanyuan, Q., Guo, J., Yoshimura, Y., Chitnis, D., Niesnerova, A., Xu, H. Y., Rouault, M., & Humphreys, B. D. (2024) · Nature Communications · doi:10.1038/s41467-024-45752-8 · Cited by 46
Ouyang, Q., Wang, C., Sang, T., Tong, Y., Zhang, J., Chen, Y., Wang, X., Wu, L., Wang, X., Liu, R., et al. (2024) · Cellular and Molecular Immunology · doi:10.1038/s41423-024-01190-6 · Cited by 46
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Zhao, S., Li, R., Yuan, X., Wang, X., Liu, Z., Chu, Q., He, J., Zhang, J., Guo, Y., Wang, Y., et al. (2025) · Cell stem cell · doi:10.1016/j.stem.2025.07.014 · Cited by 54
Deleersnijder, D., Callemeyn, J., Arijs, I., Naesens, M., Craenenbroeck, A. H. V., Lambrechts, D., & Sprangers, B. (2021) · Journal of the American Society of Nephrology · doi:10.1681/asn.2021020157 · Cited by 49
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Roman, J. (2023) · Biomolecules · doi:10.3390/biom13060945 · Cited by 44
Yoshikawa, T., Oguchi, A., Toriu, N., Sato, Y., Kobayashi, T., Ogawa, O., Haga, H., Sakurai, S., Yamamoto, T., Murakawa, Y., et al. (2023) · Journal of the American Society of Nephrology · doi:10.1681/asn.0000000000000202 · Cited by 46
McDaniels, J. M., Shetty, A. C., Kuscu, C., Kuscu, C., Bardhi, E., Rousselle, T. V., Drachenberg, C., Talwar, M., Eason, J. D., Muthukumar, T., et al. (2023) · Kidney International · doi:10.1016/j.kint.2023.02.018 · Cited by 46
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Avila, P. U., Padvitski, T., Leote, A. C., Chen, H., Sáez-Rodríguez, J., Kann, M., & Beyer, A. (2024) · Nature Reviews Nephrology · doi:10.1038/s41581-024-00849-7 · Cited by 47
Lu, X., Gou, Z., Chen, H., Li, L., Chen, F., Bao, C., Bu, H., & Zhang, Z. (2025) · The Journal of Pathology · doi:10.1002/path.6395 · Cited by 46
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Xu, H., Wu, T., & Huang, L. (2021) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2021.113911 · Cited by 43
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Wonnacott, A., Denby, L., Coward, R. J., Fraser, D. J., & Bowen, T. (2021) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2021.114045 · Cited by 44
Abedini, A., Levinsohn, J. L., Klötzer, K. A., Dumoulin, B., Ma, Z., Frederick, J., Dhillon, P., Balzer, M. S., Shrestha, R., Liu, H., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.10.24.513598 · Cited by 43
Metabolic reprogramming heterogeneity in chronic kidney disease
Miguel, V., & Kramann, R. (2023) · FEBS Open Bio · doi:10.1002/2211-5463.13568 · Cited by 45
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Li, Z., Nagai, J. S., Kuppe, C., Kramann, R., & Costa, I. G. (2023) · Bioinformatics Advances · doi:10.1093/bioadv/vbad003 · Cited by 42
Self-citationClerkin, S., Singh, K., Davis, J. L., Treacy, N. J., Krupa, I., Reynaud, E. G., Lees, R. M., Needham, S. R., MacWhite-Begg, D., Wychowaniec, J. K., et al. (2025) · Biomaterials · doi:10.1016/j.biomaterials.2025.123349 · Cited by 42
Fibrous stroma: Driver and passenger in cancer development
Sharma, V., Letson, J., & Furuta, S. (2022) · Science Signaling · doi:10.1126/scisignal.abg3449 · Cited by 38
Chen, Y., Bai, X., Chen, J., Huang, M., Hong, Q., Ouyang, Q., Sun, X., Zhang, Y., Liu, J., Wang, X., et al. (2023) · Cell Proliferation · doi:10.1111/cpr.13548 · Cited by 39
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Kalhor, K., Chen, C.-J., Lee, H. S., Cai, M., Nafisi, M., Que, R. A., Palmer, C. R., Yuan, Y., Zhang, Y., Li, X., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-46437-y · Cited by 40
Ding, H., Xu, Z., Lu, Y., Yuan, Q., Li, J., & Sun, Q. (2024) · iScience · doi:10.1016/j.isci.2024.109839 · Cited by 39
Liang, H., Liu, B., Gao, Y., Nie, J., Feng, S., Yu, W., Wen, S., & Su, X. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.978262 · Cited by 38
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Srivastava, S. P., Zhou, H., Shenoi, R., Morris, M., Lainez, B., Goedeke, L., Rajendran, B. K., Setia, O., Aryal, B. K., Kanasaki, K., et al. (2024) · Science Advances · doi:10.1126/sciadv.adn6068 · Cited by 41
From morphology to single-cell molecules: high-resolution 3D histology in biomedicine
Xu, X., Su, J., Zhu, R., Li, K., Zhao, X., Fan, J., & Mao, F. (2025) · Molecular Cancer · doi:10.1186/s12943-025-02240-x · Cited by 43
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Yang, Q., Huo, E., Cai, Y., Zhang, Z., Dong, C., Asara, J. M., & Wei, Q. (2023) · Cells · doi:10.3390/cells12162081 · Cited by 39
Naas, S., Schiffer, M., & Schödel, J. (2023) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00201.2023 · Cited by 46
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Li, Z., Rigau, A. R., Xie, W., Huang, L., Ye, W., Li, Y., Matei, A., Bergmann, C., Shao, X., Zou, H., et al. (2025) · Annals of the Rheumatic Diseases · doi:10.1016/j.ard.2025.04.025 · Cited by 43
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Gonçalves, L. M., Qadir, M. M. F., Boulina, M. E., Makhmutova, M., Pereira, E., & Almaça, J. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112913 · Cited by 35
Cao, Y., Su, H., Zeng, J., Xie, Y., Liu, Z., Liu, F., Qiu, Y., Yi, F., Lin, J., Hammes, H., et al. (2023) · Translational research · doi:10.1016/j.trsl.2023.10.007 · Cited by 36
Di, X., Chen, J., Li, Y., Wang, M., Wei, J., Li, T., Liao, B., & Luo, D. (2024) · Clinical and Translational Medicine · doi:10.1002/ctm2.1545 · Cited by 40
Torimoto, K., Elliott, K., Nakayama, Y., Yanagisawa, H., & Eguchi, S. (2024) · Cardiovascular Research · doi:10.1093/cvr/cvae044 · Cited by 38
Tanemoto, F., & Mimura, I. (2022) · Pharmaceuticals · doi:10.3390/ph15020123 · Cited by 35
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He, M., Liu, Z., Li, L., & Liu, Y. (2023) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfad257 · Cited by 36
Hoeft, K., Koch, L., Ziegler, S. M., Zhang, L., Lütke, S., Tanzer, M. C., Mohanta, D., Schumacher, D., Schreibing, F., Long, Q., et al. (2024) · Journal of Clinical Investigation · doi:10.1172/jci170246 · Cited by 36
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Chen, X., Zhang, J., Guo, L., Wu, C., Zhou, J., Xu, M., Mo, L., Li, Y., & He, J. (2026) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-025-02532-0 · Cited by 40
Yoodee, S., Noonin, C., Sueksakit, K., Kanlaya, R., Chaiyarit, S., Peerapen, P., & Thongboonkerd, V. (2021) · Communications Biology · doi:10.1038/s42003-021-02479-2 · Cited by 35
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Paw, M., Wnuk, D., Nit, K., Bobis‐Wozowicz, S., Szychowski, R., Ślusarczyk, A., Madeja, Z., & Michalik, M. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222312790 · Cited by 36
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Balzer, M. S., Pavkovic, M., Frederick, J., Abedini, A., Freyberger, A., Vienenkoetter, J., Mathar, I., Siudak, K., Eitner, F., Sandner, P., et al. (2023) · Cell Reports Medicine · doi:10.1016/j.xcrm.2023.100992 · Cited by 34
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Hu, X., Gan, L., Tang, Z., Lin, R., Liang, Z., Li, F., Zhu, C., Han, X., Zheng, R., Shen, J., et al. (2024) · Advanced Science · doi:10.1002/advs.202307850 · Cited by 37
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Shakour, N., Karami, S., Iranshahi, M., Butler, A. E., & Sahebkar, A. (2023) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2023.102934 · Cited by 32
Metadata
- Authors
- Kuppe, C., Ibrahim, M. M., Kranz, J., Zhang, X., Ziegler, S., Perales-Patón, J., Jansen, J., Reimer, K. C., Smith, J. R., Dobie, R., Wilson-Kanamori, J. R., Halder, M., Xu, Y., Kabgani, N., Kaesler, N., Klaus, M., Gernhold, L., Puelles, V. G., Huber, T. B., Boor, P., Menzel, S., Hoogenboezem, R. M., Bindels, E. M. J., Steffens, J., Floege, J., Schneider, R. K., Saez-Rodriguez, J., Henderson, N. C., & Kramann, R.
- Affiliations
- RWTH Aachen University (DE)
- Sankt-Antonius-Hospital Eschweiler (DE)
- Heidelberg University (DE)
- Radboud University Nijmegen (NL)
- Centre for Inflammation Research (GB)
- University Medical Center Hamburg-Eppendorf (DE)
- Erasmus MC Cancer Institute (NL)
- Erasmus MC (NL)
- Corresponding author
- Kramann, Rafael
- ORCID
- Kuppe, Christoph
- Ibrahim, Mahmoud M.
- Kranz, Jennifer
- Zhang, Xiaoting
- Ziegler, Susanne
- Perales-Patón, Javier
- Jansen, Jitske
- Reimer, Katharina C.
- Smith, James R.
- Dobie, Ross
- Wilson-Kanamori, John R.
- Halder, Maurice
- Kaesler, Nadine
- Klaus, Martin
- Puelles, Victor G.
- Huber, Tobias B.
- Boor, Peter
- Hoogenboezem, Remco M.
- Bindels, Eric M. J.
- Floege, Jürgen
- Schneider, Rebekka K.
- Saez-Rodriguez, Julio
- Henderson, Neil C.
- Kramann, Rafael
- Venue
- Nature
- Published
- 2020-11-11
- Volume
- 589
- Issue
- 7841
- Pages
- 281-286
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC7611626
- OpenAlex
- W3104014715
- Cited by
- 769
- References
- 86
- Citations by year
- 2026: 147 · 2025: 128 · 2024: 148 · 2023: 139 · 2022: 115 · 2021: 87 · 2020: 3
- FWCI
- 54.23
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Nature (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (publishedVersion, other-oa)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion, other-oa)
- RePEc: Research Papers in Economics (submittedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion, cc-by)
- Funders
- European Hematology Association
- Wellcome Trust (219542/Z/19/Z, 104366/Z/14/Z)
- British Heart Foundation (RM/17/3/33381, RE/18/5/34216)
- Deutsche Forschungsgemeinschaft (TRR57, SFBTRR219, BO3755/3‐1, TRR219, CRC 1192, SFB‐TRR57, SCHN 1188/5-1, BO3755/6-1, CRU344)
- Bundesministerium für Bildung und Forschung (01GM1901A, STOP‐FSGS 01GM1901A)
- Else Kröner-Fresenius-Stiftung
- RWTH Aachen University (SFBTRR219, O3-11)
- Medical Research Council
- H2020 European Research Council (677448)
- Topics
- Health Sciences › Medicine › Nephrology › Chronic Kidney Disease and Diabetes
- Health Sciences › Medicine › Nephrology › Acute Kidney Injury Research
- Health Sciences › Medicine › Nephrology › Renal Diseases and Glomerulopathies
- Keywords
- renal fibrosis, myofibroblast origin, chronic kidney disease, pericytes, fibroblasts, proximal tubule, NKD2, cell fate tracing, single-cell transcriptomics, spatial transcriptomics, ATAC-seq
- MeSH terms
- RNA-Seq, Animals, Calcium-Binding Proteins, Cell Differentiation, Extracellular Matrix, Female, Fibroblasts, Fibrosis, Humans, Kidney Tubules, Male, Mesoderm, Case-Control Studies, Cell Lineage, Pericytes, Receptor, Platelet-Derived Growth Factor alpha, Receptor, Platelet-Derived Growth Factor beta, Adaptor Proteins, Signal Transducing, Mice, Renal Insufficiency, Chronic, Myofibroblasts, Single-Cell Analysis, Transcriptome
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