Paper · 36049643
Urinary single-cell sequencing captures kidney injury and repair processes in human acute kidney injury.
Klocke J and 17 others. Kidney Int, 2022. Cited by 60 papers, by iCite.
11 sourcespapers-2026-11-12-0.1.0
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ConductScience Library. Urinary single-cell sequencing captures kidney injury and repair processes in human acute kidney injury. Papers, record 36049643. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/36049643
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Paper
PubMed's record of the paper, with iCite's citation figures. No abstract is shown.
- Title
- Urinary single-cell sequencing captures kidney injury and repair processes in human acute kidney injury.
- PubMed
Topics8
NLM's MeSH indexing of the paper, its major topics first.
| MeSH term | Major |
|---|---|
| Acute Kidney Injury | Major topic |
| Humans | |
| Mice | |
| Animals | |
| Kidney | |
| Biomarkers | |
| Oxidative Stress | |
| Epithelial Cells |
Source PubMed
Grants0
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None in this release.
Trials0
The trials whose ClinicalTrials.gov record lists the paper, and the trial numbers the paper's PubMed record names.
None in this release.
Comments and corrections1
PubMed's comments and corrections, NLM's own indexing: retractions first, then expressions of concern, errata and updates, and comments last.
| Kind | PMID | Title | In Papers |
|---|---|---|---|
| Comment in | 36,411,018 | Urinary single-cell transcriptomics: a promising noninvasive method for assessing acute kidney injury. | https://conductscience.org/library/papers/36411018 |
Source PubMed
References0
The papers the reference list in PubMed's record names, those in our copy of PubMed, in the list's order.
None in this release.
Cited by48
The papers in our copy of PubMed whose reference list names this one, newest first. iCite, which reads more sources, counts 60 citations.
| PMID | Title | Journal | Year | In Papers | Source |
|---|---|---|---|---|---|
| 42,949,643 | Toward a digital urinary biopsy for early risk stratification in diabetic kidney disease: Anchoring shed cells, vesicles, and cell-free DNA to spatial kidney cell states. | Clin Transl Med | 2026 | https://conductscience.org/library/papers/42949643 | PubMed |
| 42,940,123 | Temporal Single-Nucleus Transcriptomics Defines PPARα/CPT1A-Associated Metabolic Reprogramming During Proximal Tubular Injury and Repair. | Biomedicines | 2026 | https://conductscience.org/library/papers/42940123 | PubMed |
| 42,938,251 | Blood and Urine Transcriptomes Reveal Complementary Host Responses and a Creatinine-Associated Urinary Transcriptional Axis in Sepsis. | Diagnostics (Basel) | 2026 | https://conductscience.org/library/papers/42938251 | PubMed |
| 42,876,678 | Advances in mechanical force-induced adaptive responses and pathological transition of renal tubular epithelial cells. | Front Cell Dev Biol | 2026 | https://conductscience.org/library/papers/42876678 | PubMed |
| 42,707,217 | The mtDNA-cGAS-STING Axis in Acute Kidney Injury and Maladaptive Repair: Preclinical Evidence for Traditional Chinese Medicine and Natural Product-Based Interventions. | J Inflamm Res | 2026 | https://conductscience.org/library/papers/42707217 | PubMed |
| 42,694,321 | Integrated single-cell transcriptomic and machine-learning analyses identify a CD36-associated macrophage state in diabetic nephropathy. | Front Immunol | 2026 | https://conductscience.org/library/papers/42694321 | PubMed |
| 42,679,049 | A skin-kidney neutrophil axis links ultraviolet exposure to renal angiogenesis and tissue remodeling in healthy and lupus kidneys. | J Immunol | 2026 | https://conductscience.org/library/papers/42679049 | PubMed |
| 42,656,978 | Neutrophil-mediated acute kidney injury and its progression to chronicity. | iScience | 2026 | https://conductscience.org/library/papers/42656978 | PubMed |
| 42,613,631 | Modelling ischaemic AKI in human kidney organoids reveals injury-associated epithelial states and macrophage-epithelial crosstalk. | Genome Med | 2026 | https://conductscience.org/library/papers/42613631 | PubMed |
| 42,387,422 | Single-cell RNA sequencing and spatial transcriptomics in the discovery of kidney disease potential biomarkers: a narrative review. | BMC Nephrol | 2026 | https://conductscience.org/library/papers/42387422 | PubMed |
1 to 10 of 48
See all 48 cited byGenes0
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None in this release.
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None in this release.
Data0
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Data dates
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- Trials
- 2026-11-12
- Gene search
- 2026-11-11
- Pipelines
- 2026-09-18
Sources 11
- ChEMBL, through Open TargetsCC BY-SA 3.0
- ClinicalTrials.govNo license stated
- HGNCCC0
- iCiteCC BY 4.0
- NCBI GenePublic domain (US government)
- NIH RePORTER's grant and paper linksPublic domain
- Open TargetsCC0 1.0
- PMC's ID filePublic domain (US government)
- PubMedNLM's terms
- PubTator 3Public domain
- UniProtCC BY 4.0
Each source's terms
- ChEMBL, through Open TargetsCC BY-SA 3.0, for the parts from ChEMBL. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
- ClinicalTrials.govnone stated
- HGNCCC0: https://www.genenames.org/about/license/
- iCiteCC BY 4.0
- NCBI GeneNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
- NIH RePORTER's grant and paper linksPublic domain (NIH RePORTER)
- Open TargetsCC0 1.0. Open Targets asks that users cite its latest paper: Buniello et al. 2025, Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery, Nucleic Acids Research 53(D1):D1467, PMID 39657122. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
- PMC's ID fileNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
- PubMedNLM's terms
- PubTator 3Public domain
- UniProtCC BY 4.0. UniProt's licence file: "All databases and documents in the UniProt FTP directory may be copied and redistributed freely, without advance permission, provided that this copyright statement is reproduced with each copy." UniProt asks that users cite its latest paper: The UniProt Consortium, UniProt: the Universal Protein Knowledgebase in 2025, Nucleic Acids Research 53:D609-D617, https://doi.org/10.1093/nar/gkae1010. Read on 9 Nov 2026 at https://www.uniprot.org/help/license
ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.
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