ReviewJournal of the American Society of Nephrology : JASN2021
Current Methodological Challenges of Single-Cell and Single-Nucleus RNA-Sequencing in Glomerular Diseases.
Review in Journal of the American Society of Nephrology : JASN, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 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
31 citing papers in PubMed, 46 citations in OpenAlex.
- Beyond the Cell Atlas: Functional Communities as the Essential Pathologic Units Driving Kidney Disease.Journal of the American Society of Nephrology : JASN · 2026Review
- Glomerular cell atlas of multi-disease model revealed the characteristic changes of glomerular cell subtypes in diseases.Frontiers in immunology · 2026Article
- Article
- Hydrogel-WrappedMaterials today. Bio · 2025Article
- Single-nucleus transcriptome profiling provides insights into the pathophysiology of OSA-related renal injury.Scientific reports · 2025Article
- Transcriptomic Signatures in IgA Nephropathy: From Renal Tissue to Precision Risk Stratification.International journal of molecular sciences · 2025Review
- Comparative Transcriptomic Profiling of Corneal Compartments Using Single-Cell and Single-Nucleus Sequencing.Investigative ophthalmology & visual science · 2025Article
- Identification of conserved gene expression changes across common glomerular diseases by spatial transcriptomics.Journal of nephrology · 2025Article
- A Novel Protocol for Culturing Polarized Proximal Tubular Epithelial Cells from Kidney Biopsies: Enhancing Platforms for Drug Excretion and Nephrotoxicity Studies.Journal of xenobiotics · 2025Article
- The single-cell revolution in transplantation: high-resolution mapping of graft rejection, tolerance, and injury.Frontiers in immunology · 2025Review
- Single-cell RNA sequencing in diabetic kidney disease: a literature review.Renal failure · 2024Review
- Identification of kidney cell types in scRNA-seq and snRNA-seq data using machine learning algorithms.Heliyon · 2024Article
- Integrating large-scale single-cell RNA sequencing in central nervous system disease using self-supervised contrastive learning.Communications biology · 2024Article
- Podocyte Pathogenic Bone Morphogenetic Protein-2 Pathway and Immune Cell Behaviors in Primary Membranous Nephropathy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- FixNCut: single-cell genomics through reversible tissue fixation and dissociation.Genome biology · 2024Article
- Crosstalk among podocytes, glomerular endothelial cells and mesangial cells in diabetic kidney disease: an updated review.Cell communication and signaling : CCS · 2024Review
- Transcriptomic signatures of individual cell types in cerebral cavernous malformation.Cell communication and signaling : CCS · 2024Article
- Comparative evaluation of ACetic - MEthanol high salt dissociation approach for single-cell transcriptomics of frozen human tissues.Frontiers in cell and developmental biology · 2024Article
- Comparison of the single-cell and single-nucleus hepatic myeloid landscape within decompensated cirrhosis patients.Frontiers in immunology · 2024Article
- Urinary single-cell sequence analysis of the urinary macrophage in different outcomes of membranous nephropathy.Clinical kidney journal · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Single-cell RNA sequencing (scRNA-seq) and single-nucleus RNA-seq (snRNA-seq) allow transcriptomic profiling of thousands of cells from a renal biopsy specimen at a single-cell resolution. Both methods are promising tools to unravel the underlying pathophysiology of glomerular diseases. This review provides an overview of the technical challenges that should be addressed when designing single-cell transcriptomics experiments that focus on glomerulopathies. The isolation of glomerular cells from core needle biopsy specimens for single-cell transcriptomics remains difficult and depends upon five major factors. First, core needle biopsies generate little tissue material, and several samples are required to identify glomerular cells. Second, both fresh and frozen tissue samples may yield glomerular cells, although every experimental pipeline has different (dis)advantages. Third, enrichment for glomerular cells in human tissue before single-cell analysis is challenging because no effective standardized pipelines are available. Fourth, the current warm cell-dissociation protocols may damage glomerular cells and induce transcriptional artifacts, which can be minimized by using cold dissociation techniques at the cost of less efficient cell dissociation. Finally, snRNA-seq methods may be superior to scRNA-seq in isolating glomerular cells; however, the efficacy of snRNA-seq on core needle biopsy specimens remains to be proven. The field of single-cell omics is rapidly evolving, and the integration of these techniques in multiomics assays will undoubtedly create new insights in the complex pathophysiology of glomerular diseases.
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.