An integrated organoid omics map extends modeling potential of kidney disease.

Kidney organoids are a promising model to study kidney disease, but their use is constrained by limited knowledge of their functional protein expression profile. Here, we define the organoid proteome and transcriptome trajectories over culture duration and upon exposure to TNFα, a cytokine stressor. Older organoids increase deposition of extracellular matrix but decrease expression of glomerular proteins. Single cell transcriptome integration reveals that most proteome changes localize to podocytes, tubular and stromal cells. TNFα treatment of organoids results in 322 differentially expressed proteins, including cytokines and complement components. Transcript expression of these 322 proteins is significantly higher in individuals with poorer clinical outcomes in proteinuric kidney disease. Key TNFα-associated protein (C3 and VCAM1) expression is increased in both human tubular and organoid kidney cell populations, highlighting the potential for organoids to advance biomarker development. By integrating kidney organoid omic layers, incorporating a disease-relevant cytokine stressor and comparing with human data, we provide crucial evidence for the functional relevance of the kidney organoid model to human kidney disease.

Consensus draft of the native mouse podocyte-ome.

The podocyte is a key cell in maintaining renal filtration barrier integrity. Several recent studies have analyzed the genome and transcriptome in the podocyte at deep resolution. This avenue of "podocyte-ome" research was enabled by a variety of techniques, including 1) single-cell transcriptomics, 2) FACS with and without genetically encoded markers, and 3) deep proteomics. However, data across various omics techniques and studies are currently not well integrated with each other. Here, we aimed to establish a common, simplified knowledge base for the mouse podocyte-ome by integrating bulk RNA sequencing, bulk proteomics of FACS-sorted podocytes, and single-cell transcriptomics. Three publicly available datasets of each omics technique from different laboratories were bioinformatically integrated and visualized. Our approach not only revealed conserved processes of podocytes but also sheds light on the benefits and limitations of the used technologies. We identified that high expression of glycan glycosylphosphatidylinositol anchor synthesis and turnover, as well as retinol metabolism, were relatively understudied features of podocytes. In addition, actin-binding molecules were organized in a podocyte-specific manner, as evidenced by differential expression in podocytes compared with other glomerular cells. We compiled a Web-based "PodIent" application that illustrates the features of the integrated dataset. This enables user-driven exploratory analysis by querying genes of interest for podocyte identity in absolute and relative quantification while also linking to functional annotation using keywords, Gene Ontology terms, and gene set enrichments. This consensus draft is a first step toward common molecular omics knowledge of kidney cells.NEW & NOTEWORTHY Podocytes are key components of glomerular filtration and are affected in various kidney diseases. Here, we present an integrated, robust definition of molecular identity across proteomic, single-cell transcriptomics, and bulk transcriptomic studies on native mouse podocytes. We created the "PodIdent" app, a novel knowledge base promoting access to the presence and expression of specific proteins for podocytes.