The DOI matches its Crossref record; 87 of the 87 references it cites were found in a registry or an index.
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.
Overview
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
Verification
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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).
Cited by
Sorted by citations
Items 601–700 of 770
The remarkable diversity of vascular smooth muscle in development and disease
Majesky, M. W. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-822546-2.00030-7 · Cited by 1
Ferreira, R. M., Sabo, A. R., Winfree, S., Collins, K. S., Janosevic, D., Gulbronson, C. J., Cheng, Y., Casbon, L., Barwinska, D., Ferkowicz, M. J., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.01.19.427258 · Cited by 1
Gong, L., Gu, Y., Han, X., Luan, C., Wang, X., Sun, Y., Fang, M., Yang, S., Xu, L., Sun, H., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.12.20.473346 · Cited by 1
SciViewer- An interactive browser for visualizing single cell datasetsPreprint
Jain, D. S., Hayat, S., Li, X., Charkaborty, J., Srinivasa, P., Cho, M. H., Silverman, E. K., Moore, H., Kramann, R., & Laux‐Biehlmann, A. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.02.14.480435 · Cited by 1
Self-citationXu, Y., & Hayat, S. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.05.15.540808 · Cited by 1
Self-citationHun, M., Wen, H., Wen, M., Tian, Q., Wang, Z., Han, P., Vun, T., Som, T., Preap, B., Zhao, M., et al. (2023) · doi:10.22541/au.168620819.99240467/v1 · Cited by 1
ctQC improves biological inferences from single cell and spatial transcriptomics dataPreprint
Lakshmanan, V., Kahraman, M., Macalinao, D. C., Gunn, N. A. L., Venkatesh, P. N., Chang, M., Fu, C. W. P., Qiang, L. W., Tan, I. B., & Prabhakar, S. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.05.23.594978 · Cited by 1
A Landscape of Genetic and Cellular Hallmarks in Chronic Kidney DiseasePreprint
Luo, Y., Lin, L., de Araujo, I. B. B. A., Kristensen, A. M., Haskó, J., Madsen, M., Keller, A. K., Olsen, A. L., Zhao, X., Fang, W., et al. (2024) · Research Square · doi:10.21203/rs.3.rs-4681754/v1 · Cited by 1
PICASO: Profiling Integrative Communities of Aggregated Single-cell Omics dataPreprint
Joppich, M., Kramann, R., & Hayat, S. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.08.28.610120 · Cited by 1
Self-citationArnoux, G., Legouis, D., Tihy, M., Yvon, R., Liaudet, N., Moser, S. O., Poinot, H., Sassi, A., Lempke, O. M., Fernandez, M., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.09.631985 · Cited by 1
Mapping spatially-resolved transcriptomes in systemic sclerosisPreprint
Li, Z., Rigau, A. R., Xie, W., Huang, L., Shao, X., Li, Y., Matei, A.-E., Ye, W., Zou, H., Pinello, L., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.14.632962 · Cited by 2
Wnt-dependent spatiotemporal reprogramming of bone marrow niches drives fibrosisPreprint
Banjanin, B., Nagai, J. S., Mun, Y., Fuchs, S. N. R., Snoeren, I., Boers, J., Segura, M. L. R. T., Mora, H. T., Galyga, A. K., Benabid, A., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.12.637594 · Cited by 1
Self-citationTracing the origins and differentiation of human kidney myofibroblasts
Carney, E. F. (2020) · Nature Reviews Nephrology · doi:10.1038/s41581-020-00382-3
Single-cell transcriptome analysis reveals mesenchymal stem cells in cavernous hemangiomaPreprint
Ji, F., Liu, Y., Shi, J., Liu, C., Fu, S., Wang, H., Ren, B., Mi, D., Gao, S., & Sun, D. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.09.02.458742
Single-Cell Transcriptome Analysis Reveals Mesenchymal Stem Cells in Cavernous HemangiomaPreprint
Ji, F., Liu, Y., Shi, J., Liu, C., Fu, S., Wang, H., Ren, B., Mi, D., Gao, S., & Sun, D. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3959289
Wang, M., Ji, C., Zhang, Y., Zhang, Z., Zhang, Y., Guo, H., Qiao, N., Zhou, X., Cao, X., Ye, Z., et al. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3960258
Schmitt, R. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-822514-1.00006-7
Chatziantoniou, C., & Chadjichristos, C. E. (2021) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.739992371.793585330
Fast model-free standardization and integration of single-cell transcriptomics dataPreprint
Xu, Y., Kramann, R., McCord, R. P., & Hayat, S. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.03.28.486110
Self-citationZhou, H., Yang, N., Sui, H. X., Du, X., Luo, Q., Zhao, Y.-J., Zhou, Y.-W., Guan, Q., Zhou, Y., Qian, H.-J., et al. (2022) · Pharmacological Research - Modern Chinese Medicine · doi:10.1016/j.prmcm.2022.100085
RetractedQiongya, G., Hongyan, R., Li, M., Liu, L., Wenting, L., Zhang, J., Xiaoli, W., Hu, Y., Zang, K., An, Y., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.03.20.484975
MicroRNA control of kidney disease
Miguel, V., & Lamas, S. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-89774-7.00019-4
High-throughput methods to help understand heart disease
Wehrens, M., Timmer, L. T., & van Rooij, E. (2022) · Nature Cardiovascular Research · doi:10.1038/s44161-022-00126-5
Zeybel, M., & Mann, D. A. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-821618-7.00262-5
Peri(vascular)cytes identity in the brain
Ceafalan, L. C., Mihai, S., & Popescu, D. I. (2021) · Journal of Cell Identity · doi:10.47570/joci.2022.004
New Insights into Renal Fibrosis
Toriu, N., Yoshikawa, T., & Yanagita, M. (2022) · Nihon Naika Gakkai Zasshi · doi:10.2169/naika.111.323
Integrative Analysis of Myofibroblast Transformation During Corneal Fibrosis
Pai, Y.-L., Wu, Y.-F., & Lin, S. (2022) · International Conference on Biomedical and Bioinformatics Engineering (ICBBE) · doi:10.1145/3574198.3574235
Mesenchymal stem cells in chronic kidney disease and therapeutic signaling pathways
Kandır, S., Çelenk, A., Ezgin, N., & Bahşi, M. (2023) · Elsevier eBooks · doi:10.1016/b978-0-443-18800-8.00008-3
Untersuchung der pharmakologischen Modulation von ARNT-Homodimeren auf die Renoprotektion
Rapp, G. C. (2023) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-10120
Depletion of tropomyosin 1.6 promotes matrix-degrading phenotype in TGF-β1-induced myofibroblastPreprint
Wu, C.-L., Lee, G.-H., Chen, B. Y., Kuo, C., Chan, T. T., Wang, Y. K., Wong, T., & Tang, M. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.12.08.570775
Brg1 regulates fibroblast-myofibroblast transition to promote renal fibrosisPreprint
Wu, X., Luo, Y., Kang, A., Ni, J., Kong, M., & Zhang, T. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.12.22.572996
Sun, Y., Peng, Y., Su, Z., So, K. K., Lu, Q., Lyu, M., Zuo, J., Huang, Y., Guan, Z.-P., Cheung, K., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.01.16.575808
Self-citationLi, Y. P., xu, Y., Xie, Y., zhuang, G., Zhang, J., Shen, J., & Yin, J. (2024) · Research Square · doi:10.21203/rs.3.rs-3830369/v1
Self-citationComparison of preparation methods of rat kidney single-cell suspensions
Wang, T., Shen, W., Li, L., Wang, H., Zhang, M., & Chen, X. (2024) · Scientific Reports · doi:10.1038/s41598-024-53270-2
Kang, H., Lim, S., Kim, C.-L., Mo, J., Park, S. J., & Jeong, H.-S. (2023) · 동의생리병리학회지 · doi:10.15188/kjopp.2023.08.37.4.73
Grigorieva, I., Midgley, A. C., Brown, C., Chevez, G., Williams, A., Manetta-Jones, D., Bowen, T., Chan, D. D., Plaas, A., Chevez, R., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.03.27.586996
Subramanian, A., Alperovich, M., Yang, Y., & Li, B. (2023) · Figshare · doi:10.6084/m9.figshare.22610146
Yang, Y., Liu, C., Wu, B., Ning, K., Gao, X., Zhang, J., Ding, X., Qin, Z., Bian, S., & huang, L. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4792353
Sanyal, R., Xu, Y., Kim, H., Kramann, R., & Hayat, S. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.05.17.594763
Self-citationTuechler, N., Burtscher, M. L., Garrido‐Rodríguez, M., Khan, M. M., Türei, D., Kramann, R., Merten, C. A., Sáez-Rodríguez, J., & Pepperkok, R. (2024) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfae069.466
Self-citationLemmon, C. A., & Kim, K. P. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4897942
Vanichapol, T., Gonzalez, A., Delgado, R., Brewer, M., Clouthier, K. A., Menshikh, A., Snyder, W. E., Rahman, T., Sander, V., Yang, H., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.09.11.612436
Kirsanova, L. V., Araviyskaya, E. R., Mg, R., Sokolovsky, Е. V., & Bogatenkov, A. I. (2024) · Consilium Medicum · doi:10.26442/20751753.2024.8.202913 · Cited by 1
Exploring the Spatial Distribution of Interstitial Cells in Kidney Tissue
Ou, J., Zeng, H., Shangguan, Y., Luan, S., Wu, H., Li, H., Gong, W., Tang, D., Tan, X., Yin, L., et al. (2024) · Kidney & Blood Pressure Research · doi:10.1159/000542501
Plasma Transcriptome Profile Associated with Chronic Kidney Disease Progression
Srivastava, A., Maienschein‐Cline, M., AMDUR, R. L., Suszták, K., Kopp, J. B., Cao, H., Shankaranarayanan, D., Abdalla, Y., Pabalan, A., Gombert, M., et al. (2024) · American Journal of Nephrology · doi:10.1159/000542707
Chang, C., Kao, E.-S., Lee, Y.-C., & Lee, H.-J. (2025) · Journal of Medicinal Food · doi:10.1089/jmf.2024.k.0257
Nakamura, Y., Togami, K., & Chono, S. (2025) · Biopharmaceutics & Drug Disposition · doi:10.1002/bdd.70004
Endothelial and stromal cell contributions to salivary gland injury and repair
Altrieth, A. L. (2023) · Scholars Archive - University at Albany (University at Albany, State University of New York) · doi:10.54014/9tzg-v00s
Isoaspartate Repair of TGF-β Receptor 2
Kuppe, C. (2025) · Journal of the American Society of Nephrology · doi:10.1681/asn.0000000757
Self-citationAlternative splicing as a novel pathogenic mechanism in chronic kidney disease
Qiu, J., Wang, R., Li, L., Wu, P. J., Zhang, H., Gong, S., Ren, X., Tao, Y., & Fang, X. (2025) · Cellular Signalling · doi:10.1016/j.cellsig.2025.111972
Wang, X., Xu, L., Kong, L., Liu, X., Qiu, X., Zhang, J., Chang, B., Yao, M., Xu, Y., Yuan, X., et al. (2025) · International Immunopharmacology · doi:10.1016/j.intimp.2025.115324
Self-citationMatrix Proteins in Kidney Injury, Fibrosis, and Regeneration
Lin, P., & Duann, P. (2025) · Springer eBooks · doi:10.1007/978-3-031-93677-7_3
Omachi, K., & Fujiwara, H. (2025) · Matrix Biology · doi:10.1016/j.matbio.2025.09.001
Gonzalez, A., Delgado, R., & de Caestecker, M. P. (2025) · Seminars in Nephrology · doi:10.1016/j.semnephrol.2025.151669
DynPerturb:Dynamic Perturbation Modeling for Spatiotemporal Single-Cell SystemsPreprint
Qin, H., Zhang, Y., Guo, Z., Hu, L., Li, Q., Cao, L., Xia, T., Deng, Z., Zhang, Y., Li, Y. P., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.15.676236
Johansson, A., Narasimhan, G., Keuenhof, K., Boi, R., & Ebefors, K. (2025) · BMC Nephrology · doi:10.1186/s12882-025-04444-1
Ito, H., & Mori, T. (2025) · Hypertension Research · doi:10.1038/s41440-025-02395-6
Cell-type specific single-cell signatures reveal nephrotoxic drug effects
Kuchi, A., Cortina, J. M. A., Liu, H., Fatapour, Y., Berkowitz, J. S., & Tatonetti, N. P. (2025) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2025.11.012
Xiong, W., Xiong, Z., Song, A., Lei, C., Ye, C., Su, H., & Zhang, C. (2024) · Figshare · doi:10.6084/m9.figshare.26608179
Bao, Q., Wang, A., Hong, W., Wang, Y., Li, B., He, L., Yuan, X., & Ma, G. (2024) · Figshare · doi:10.6084/m9.figshare.25727866
Subramanian, A., Alperovich, M., Yang, Y., & Li, B. (2023) · Figshare · doi:10.6084/m9.figshare.22610152
Xiong, W., Xiong, Z., Song, A., Lei, C., Ye, C., Su, H., & Zhang, C. (2024) · Figshare · doi:10.6084/m9.figshare.26608173
Subramanian, A., Alperovich, M., Yang, Y., & Li, B. (2023) · Figshare · doi:10.6084/m9.figshare.22610149
Subramanian, A., Alperovich, M., Yang, Y., & Li, B. (2023) · Figshare · doi:10.6084/m9.figshare.22610155
Chen, L., Li, X., Deng, Y., Chen, J., Huang, M., 朱凤阁, Gao, Z., Wu, L., Hong, Q., Feng, Z., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26589360
Xiong, W., Xiong, Z., Song, A., Lei, C., Ye, C., Su, H., & Zhang, C. (2024) · Figshare · doi:10.6084/m9.figshare.26608182
Xiong, W., Xiong, Z., Song, A., Lei, C., Ye, C., Su, H., & Zhang, C. (2024) · Figshare · doi:10.6084/m9.figshare.26608170
Xiong, W., Xiong, Z., Song, A., Lei, C., Ye, C., Su, H., & Zhang, C. (2024) · Figshare · doi:10.6084/m9.figshare.26608176
吕英慧, Xu, S., Tang, R., Han, C., & Zheng, C. (2024) · Figshare · doi:10.6084/m9.figshare.26580332
吕英慧, Shutian, X., Tang, R., Han, C., & Zheng, C. (2024) · Figshare · doi:10.6084/m9.figshare.26580329
Fibroblast‐derived neuropilin 1 alleviates renal fibrosis progression
Shen, Y., Placier, S., Louedec, L., Frère, P., Vandermeersch, S., Figueroa, S. M., François, H., Chadjichristos, C. E., Cohen, C., Chatziantoniou, C., et al. (2025) · The Journal of Pathology · doi:10.1002/path.70009
Li, Y., Zhang, Y., Wang, R., Yin, R., Liu, W., & Zhu, L. (2025) · MedScience · doi:10.1007/s11684-025-1180-0
Qin, Z., Huang, X., Du, K., Zhang, L., Xu, X., & Fang, Y. (2025) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s559695
Schütz, P., Hüchtmann, B., Marck, V. V., Heitplatz, B., Walter, C., Rixen, R., Pavenstädt, H., Reuter, S., & Buscher, K. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1671117 · Cited by 1
Kidney disease reprograms microbiome-host signaling to promote heart failurePreprint
Yarritu, A., Anders, W., Thiele, A., Potapenko, O., Schumacher, F., Szijártó, I. A., Rauch, A., Versnjak, J., Gebremedhin, N., McParland, V. J., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.10.698142 · Cited by 1
Self-citationInhibition of (interstitial) P2Y 6 receptors attenuates renal fibrosis progressionPreprint
Süß, L.-M., Petzendorfer, A., Firmke, B. K. M., Süß, A., Warth, R., Broeker, K. A. E., & Forst, A. W. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.27.701928
Renal allograft interstitial fibrosis: multicellular interactions and therapeutic strategies
Ding, R., Shen, Q., Zhou, J., Tan, R., Gu, M., Wang, Z., & Gui, Z. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1745244 · Cited by 2
Li, G., Wang, L., Wu, X., Zeng, X., Long, L., Zhang, W., Chen, J., Zhang, D., Chen, X., Deng, Y., et al. (2026) · Journal of Orthopaedic Translation · doi:10.1016/j.jot.2025.101032
Azizolli, S., Halder, S., Steglich, A., Annoh, A., Gembardt, F., Simonova, I., Sradnick, J., Dahl, A., Gupta, R., Bornstein, S. R., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.11.705281
Cell-type specific contribution of KLF4 to fibrotic nephropathy in tubular epithelium and fibroblast
Jiang, J., Shen, R., Xu, F., Liu, L., Chen, F., (423471), K. L., Zhu, J., Liu, S., Wu, L., Huang, Z., et al. (2026) · Cellular Signalling · doi:10.1016/j.cellsig.2026.112459
Clinician und Medical Scientists in der Inneren Medizin: Nephrologie
Koch, L. (2026) · Die Innere Medizin · doi:10.1007/s00108-026-02081-w
Fallegger, R., Gómez‐Ochoa, S. A., Boys, C., Flores, R. O. R., Tanevski, J., Pashos, E. E., Féliers, D., Piper, M. E., Schaub, J. A., Zhou, Z., et al. (2026) · medRxiv · doi:10.64898/2026.03.05.26347522 · Cited by 1
Tang, Z., Ou, Z., Wan, H., Tao, M., Li, X., Huang, Y., Tan, Q., Peng, Q., Dong, L., & Zhao, J. (2026) · International Immunopharmacology · doi:10.1016/j.intimp.2026.116463
Potential of Small-Molecule Natural Products Against Autophagy Dysfunction in Kidney Diseases
Shoyshob, T. Z., Afrin, N., Islam, M. M., Farjana, M., Roni, M. T. A., Sen, M., Azam, M. S., Hridoy, A. I., Moni, A., & Uddin, M. J. (2026) · Immuno · doi:10.3390/immuno6020022
Identification of extracellular matrix biomarkers and targets in Dystrophic epidermolysis bullosa
Dussoyer, M. (2022) · theses.fr (ABES) · doi:10.70675/154c0828z26c5z465dz9d51zb8270ed8438d
Napoli, M. (2025) · theses.fr (ABES) · doi:10.70675/eebbc628zaec1z474dzbfa2z4fed39691cff
Dissecting human population variation in single-cell responses to SARS-CoV-2
Aquino, Y. (2023) · theses.fr (ABES) · doi:10.70675/061da45czf5e5z482dzb71dz92b95c997a05
Luo, Y., Ni, J., & Zhang, T. (2026) · Life Sciences · doi:10.1016/j.lfs.2026.124394
VAP1 promotes cardiac fibrosis by enabling PDGFR signaling in myofibroblasts
Huang, S., Zhao, Q., Shao, T., Zhu, C., Xue, Y., Chen, N., Zhang, Y., Xu, H., Kong, M., & Wang, R. (2026) · Experimental & Molecular Medicine · doi:10.1038/s12276-026-01690-7
Zeng, F., Gou, W., Fu, X., Ding, L., Shao, Q., Zhu, C., Liu, Y., Cheng, J., Yang, B., & Liu, N. (2026) · Cell Biology and Toxicology · doi:10.1007/s10565-026-10191-2
Matsushita, K., Akane, H., Akagi, J., Morikawa, T., Mizuta, Y., Ogawa, K., & Toyoda, T. (2026) · Toxicology · doi:10.1016/j.tox.2026.154473
Kumatakenin drives renal and hepatic fibrosis via macrophage-to-myofibroblast transition
陈氏红, Ni, B., Gao, Y., Yuan, W., Li, X., Ying, Y., Zhou, X., Cai, Z., & Lu, X. (2026) · International Immunopharmacology · doi:10.1016/j.intimp.2026.116677
Gu, X., Lu, Y., Sha, H., zhang, H., chen, H., qiu, M., & Chen, X. (2026) · International Urology and Nephrology · doi:10.1007/s11255-026-05138-9
Armendariz, B. G., & Kent, D. (2026) · Molecular vision · doi:10.63500/mv_v32_22
A cilia-dependent inflammatory programme links bacterial detection to kidney diseasePreprint
Aka, A., Martin, J., Kopp, F., Bulfone, T., Chauvin, S., Cohen, C., Burtin, M., Kuehn, E. W., Dangeard, A., Moya‐Nilges, M., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.04.24.720658
Single-Cell and Spatial Transcriptomics in Renal Injury and Fibrosis Research
Chen, Y., Ye, Z., & Wang, W. (2026) · Kidney Diseases · doi:10.1159/000552224
Fedrigo, M., Adam, B., Angelini, A., Berry, G. J., Coutance, G., Huyen, J. D. V., Osto, E., Reed, E. F., Tona, F., & Miller, D. V. (2026) · American Journal of Transplantation · doi:10.1016/j.ajt.2026.04.024
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
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
