The kidneys play a critical role in maintaining homeostasis by filtering waste and
excess fluids from the blood, regulating electrolyte balance, and controlling blood
pressure. Each kidney is comprised of nephrons, which are the functional units
responsible for these essential functions. Nephrons consist of several specialized
structures that work together to filter blood, reabsorb vital substances, and excrete waste as urine.
The primary filtrating component of nephrons is the renal glomerulus (Glo), which is surrounded by the
Bowman's capsule and located in the renal cortex. Following filtration, the processed fluid enters the
secondary filtering stage, where reabsorption and further filtration occur. This stage includes various types of tubules:
The proximal tubule (PT_S1_S2 and PT_S3), predominantly located in the renal cortex.
The loop of Henle (TAL), extending into both the outer and inner regions of the renal medulla.
The distal tubule (DCT_CNT), primarily situated in the renal cortex.
The collecting duct (CD), present in both the renal cortex and medulla.
These specialized structures work harmoniously with the surrounding renal interstitium (Inter) and
urothelium (Uro) to maintain proper kidney function.
Chronic Kidney Disease
Chronic Kidney Disease (CKD) is a progressive condition characterized by the gradual loss
of kidney function over time. CKD affects about 10% of the population worldwide and is a
significant public health concern due to its high prevalence and association with increased
cardiovascular risk and mortality. One of the hallmark features of CKD is the development of renal
fibrosis, a pathological process involving the excessive accumulation of extracellular matrix (ECM)
proteins in the renal interstitium. Renal fibrosis disrupts the normal architecture of the kidney and
impairs its function, ultimately leading to end-stage renal disease (ESRD).
Understanding kidney health and CKD relies on decoding the intricate landscape of cell types,
their molecular profiles, and interactions within the tissue microenvironment. Here we present the
generation of Spatial-Temporal transcriptOmic Profiling (STOP-CKD) in a mouse CKD model induced by
unilateral ureteral obstruction (UUO).
The Visium Platform
The Visium platform by 10x Genomics is an advanced spatial transcriptomics technology that allows
high-resolution mapping of gene expression within intact tissue sections. By combining spatial information
with RNA sequencing, Visium enables researchers to visualize and quantify the spatial arrangement of distinct
cell populations and their gene expression profiles within the tissue microenvironment. This powerful platform
enhances our understanding of complex biological processes and disease mechanisms by providing spatial context
to gene expression data.
STOP-CKD Database
STOP-CKD comprises comprehensive characterization of the spatial-temporal expression of 18,000 protein-coding
genes and over 20,000 functional gene sets over one-week UUO progression. This resource database offers a
high-resolution spatial-temporal cellular atlas that characterizes cellular states altered in kidney injury.
It details adaptive or maladaptive repair processes, as well as transitioning and degenerative states affecting
several nephron segments. These analyses further define biological pathways relevant to injury niches, including
molecular signatures underlying the transition from reference to predicted maladaptive states, which are associated
with declining kidney function during CKD.
The UUO Model
The Unilateral Ureteral Obstruction (UUO) model is a widely used experimental model for studying kidney disease,
particularly renal fibrosis. In this model, one ureter is surgically obstructed, leading to progressive injury and
fibrosis in the affected kidney. The UUO model mimics aspects of CKD and allows researchers to investigate the
molecular and cellular mechanisms underlying kidney damage and repair. It is valuable for studying the pathophysiology
of renal fibrosis and for testing potential therapeutic interventions aimed at preventing or reversing kidney damage.
Using the UUO model at 1 day, 3 days, and 7 days post-obstructive, the STOP-CKD database provides a time-course of
kidney injury and fibrosis progression. Early inflammatory responses and tubular cell injury at 1d UUO are followed
by progressive inflammation, tubular atrophy, and initial fibrotic changes at 3d UUO. By 7 days UUO, significant fibrosis,
severe tubular damage, and functional impairment are evident.
Serial intravital 2-photon microscopy
2-photon microscopy of the kidney is a powerful method that uniquely allows simultaneous investigation of kidney structure
and function in the living animal. To track dynamic structural and functional changes after UUO in vivo and over time, we
applied serial 2-photon microscopy after implantation of an abdominal imaging window that enabled repeated imaging of the
same kidney cells over time. This powerful approach documented tremendous tissue remodeling alongside functional impairment,
luminating epithelial metabolic dysfunction, interstitial inflammation, blood flow alterations, and endothelial cell plasticity
after UUO.
Left: Sham_D3_3D; Right: UUO_D3_3D
In summary, our STOP-CKD database, generated using the Visium platform from 10x Genomics, provides a valuable resource
for understanding the spatial-temporal dynamics of gene expression during kidney injury and repair. This high-resolution
atlas offers insights into cellular states and biological pathways involved in CKD, enhancing our ability to investigate
potential therapeutic interventions and improve kidney health.
Please cite the STOP-CKD database as:
Citation will be updated.
Differential Expressed Genes in Selected Region
Type gene symbol for gene of interest for gene summary, statistics, spatial plot and dot plot
Gene Summary
Differential expressed genes in different time points compared to sham
* Wilcoxon Rank Sum test were used to identify differentially expressed genes between two groups of Spots
* pct: The percentage of Spots where the gene detected in the group
* avg_log2FC: log fold-chage of the average expression between the two groups.
* p_val_adj: Adjusted p-value, based on bonferroni correction using all genes in the dataset
Spot information / gene expression violin plot / box plot
in this section, users can visualise the gene expression or continuous Spot information
(e.g. Number of UMIs / module score) across groups of Spots (e.g. libary / clusters).
in this section, users can visualise the gene expression patterns of
multiple genes grouped by categorical Spot information (e.g. library / cluster).
The normalised expression are averaged, log-transformed and then plotted.