ReviewKidney international2019
Understanding the kidney one cell at a time.
Review in Kidney international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
33 citing papers in PubMed.
- Bridging Kidney Organoid Innovation and Regenerative Medicine: Current Advances and Future Directions.Cell proliferation · 2026Review
- Single-nucleus transcriptomics illuminates sex differences during murine Escherichia coli pyelonephritis.Communications biology · 2026Article
- Review
- Single-nucleus transcriptomics illuminates sex differences during murine Escherichia coli pyelonephritis.Research square · 2025Article
- Proximal Tubule Cells Contribute to the Thin Descending Limb of the Loop of Henle during Mouse Kidney Development.Journal of the American Society of Nephrology : JASN · 2025Article
- Isolation of Podocyte Cell Fractions From Mouse Kidney Using Magnetic Activated Cell Sorting (MACS).Bio-protocol · 2025Article
- Kidney and urine cell transcriptomics in IgA nephropathy and lupus nephritis: a narrative review.Clinical kidney journal · 2024Review
- Circadian clocks of the kidney: function, mechanism, and regulation.Physiological reviews · 2022Review
- Exfoliated Kidney Cells from Urine for Early Diagnosis and Prognostication of CKD: The Way of the Future?International journal of molecular sciences · 2022Review
- A reference tissue atlas for the human kidney.Science advances · 2022Article
- Temporal modelling using single-cell transcriptomics.Nature reviews. Genetics · 2022Review
- Urine Single-Cell RNA Sequencing in Focal Segmental Glomerulosclerosis-Hope for the Future.Kidney international reports · 2022Article
- Urine Single-Cell RNA Sequencing in Focal Segmental Glomerulosclerosis Reveals Inflammatory Signatures.Kidney international reports · 2022Article
- Kidney cell type-specific changes in the chromatin and transcriptome landscapes following epithelialPhysiological genomics · 2022Article
- Highly multiplexed immunofluorescence of the human kidney using co-detection by indexing.Kidney international · 2022Article
- Selecting the right therapeutic target for kidney disease.Frontiers in pharmacology · 2022Review
- Single-cell transcriptomics: A new tool for studying diabetic kidney disease.Frontiers in physiology · 2022Review
- The study of single cells in diabetic kidney disease.Journal of nephrology · 2021Review
- Gaining insight into metabolic diseases from human genetic discoveries.Trends in genetics : TIG · 2021Review
- Renal cell markers: lighthouses for managing renal diseases.American journal of physiology. Renal physiology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
A revolution in cellular measurement technology is underway. Whereas prior studies have been able to analyze only the averaged outputs from renal tissue, we now can accurately monitor genome-wide gene expression, regulation, function, cellular history, and cellular interactions in thousands of individual cells in a single experiment. These methods are key drivers in changing our previous morphotype-based organ and disease descriptions to unbiased genomic definitions and therefore improving our understanding of kidney development, homeostasis, and disease.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.