Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Single‐cell RNA ‐seq with spatial transcriptomics to create an atlas of human diabetic kidney disease

2 May 2023

Abstract excerpt

Diabetic kidney disease (DKD) develops in ~40% of patients with diabetes and is the leading cause of chronic kidney disease worldwide. We used single-cell RNA-sequencing and spatial transcriptomic analyses of kidney specimens from patients with DKD. Unsupervised clustering revealed distinct cell clusters, including epithelial cells and fibroblasts. We also identified differentially expressed genes (DEGs) and...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Chronic Kidney Disease and Diabetes
Share to Renal and Vascular Pathologies
Share to Single-cell and spatial transcriptomics

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 37130011
DOI: 10.1096/fj.202202013rr

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Single‐cell RNA ‐seq with spatial transcriptomics to create an atlas of human diabetic kidney diseasePMID 37130011Read ↗

Streamlining Spatial Transcriptomics for Human Kidney TissueSemantic proximity Read ↗

Single-cell RNA and transcriptome sequencing profiles identify immune-associated key genes in the development of diabetic kidney diseaseSemantic proximity Read ↗

Single-cell multi-omic and spatial profiling of human kidneys implicates the fibrotic microenvironment in kidney disease progressionSemantic proximity Read ↗

A Partial Picture of the Single-Cell Transcriptomics of Human IgA NephropathySemantic proximity Read ↗

Progress and applications of single-cell RNA sequencing and spatial transcriptome technology in acute kidney injury researchSemantic proximity Read ↗

Single-Cell Profiling Reveals Transcriptional Signatures and Cell-Cell Crosstalk in Anti-PLA2R Positive Idiopathic Membranous Nephropathy PatientsSemantic proximity Read ↗

Spatially resolved human kidney multi-omics single cell atlas highlights the key role of the fibrotic microenvironment in kidney disease progressionSemantic proximity Read ↗

High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and PathwaysSemantic proximity Read ↗

Single-cell RNA Sequencing Reveals Transcriptional Signatures and Cell-cell Crosstalk in Patients With Hypertensive NephropathySemantic proximity Read ↗

Single-cell transcriptomic profiles in the pathophysiology within the microenvironment of early diabetic kidney diseaseSemantic proximity Read ↗

Transcriptome Analysis of Human Diabetic Kidney DiseaseSemantic proximity Read ↗

Renal Endothelial Single-Cell Transcriptomics Reveals Spatiotemporal Regulation and Divergent Roles of Differential Gene Transcription and Alternative Splicing in Murine Diabetic NephropathySemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.