Jenny Norlin

Endothelium-specific ablation of PDGFB leads to pericyte loss and glomerular, cardiac and placental abnormalities.

Platelet-derived growth factor-B (PDGFB) is necessary for normal cardiovascular development, but the relative importance of different cellular sources of PDGFB has not been established. Using Cre-lox techniques, we show here that genetic ablation of Pdgfb in endothelial cells leads to impaired recruitment of pericytes to blood vessels. The endothelium-restricted Pdgfb knockout mutants also developed organ defects including cardiac, placental and renal abnormalities. These defects were similar to those observed in Pdgfb null mice. However, in marked contrast to the embryonic lethality of Pdgfb null mutants, the endothelium-specific mutants survived into adulthood with persistent pathological changes, including brain microhemorrhages, focal astrogliosis, and kidney glomerulus abnormalities. This spectrum of pathological changes is reminiscent of diabetic microangiopathy, suggesting that the endothelium-restricted Pdgfb knockouts may serve as models for some of the pathogenic events of vascular complications to diabetes.

Large-scale identification of genes implicated in kidney glomerulus development and function

To advance our understanding of development, function and diseases in the kidney glomerulus, we have established and large‐scale sequenced cDNA libraries from mouse glomeruli at different stages of development, resulting in a catalogue of 6053 different genes. The glomerular cDNA clones were arrayed and hybridized against a series of labeled targets from isolated glomeruli, non‐glomerular kidney tissue, FACS‐sorted podocytes and brain capillaries, which identified over 300 glomerular cell‐enriched transcripts, some of which were further sublocalized to podocytes, mesangial cells and juxtaglomerular cells by in situ hybridization. For the earliest podocyte marker identified, Foxc2, knockout mice were used to analyze the role of this protein during glomerular development. We show that Foxc2 controls the expression of a distinct set of podocyte genes involved in podocyte differentiation and glomerular basement membrane maturation. The primary podocyte defects also cause abnormal differentiation and organization of the glomerular vascular cells. We surmise that studies on the other novel glomerulus‐enriched transcripts identified in this study will provide new insight into glomerular development and pathomechanisms of disease.

Microarray analysis of blood microvessels from PDGF-B and PDGF-Rβ mutant mice identifies novel markers for brain pericytes

Normal blood microvessels are lined by pericytes, which contribute to microvessel development and stability through mechanisms that are poorly understood. Pericyte deficiency has been implicated in the pathogenesis of microvascular abnormalities associated with diabetes and tumors. However, the unambiguous identification of pericytes is still a problem because of cellular heterogeneity and few available molecular markers. Here we describe an approach to identify pericyte markers based on transcription profiling of pericytedeficient brain microvessels isolated from platelet‐derived growth factor (PDGF‐B) –/– and PDGF beta receptor (PDGFRβ) –/– mouse mutants. The approach was validated by the identification of known pericyte markers among the most down‐regulated genes in PDGF‐B –/– and PDGFRβ –/– microvessels. Of candidates for novel pericyte markers, we selected ATP‐sensitive potassiumchannel Kir6.1 (also known as Kcnj8) and sulfonylurea receptor 2, (SUR2, also known as Abcc9), both part of the same channel complex, as well as delta homologue 1 (DLK1) for in situ hybridization, which demonstrated their specific expression in brain pericytes of mouse embryos. We also show that Kir6.1 is highly expressed in pericytes in brain but undetectable in pericytes in skin and heart. The three new brain pericyte markers are signaling molecules implicated in ion transport and intercellular signaling, potentially opening new windows on pericyte function in brain microvessels.—Bondjers, C., He, L., Takemoto, M., Norlin, J., Asker, N., Hellström, M., Lindahl, P., Betsholtz, C. Microarray analysis of blood microvessels from PDGF‐B and PDGF‐Rβ mutant mice identifies novel markers for brain pericytes. FASEB J. 20, E1005–1013 (2006)

The Glomerular Transcriptome and a Predicted Protein-Protein Interaction Network

To increase our understanding of the molecular composition of the kidney glomerulus, we performed a meta-analysis of available glomerular transcriptional profiles made from mouse and man using five different methodologies. We generated a combined catalogue of glomerulus-enriched genes that emerged from these different sources and then used this to construct a predicted protein-protein interaction network in the glomerulus (GlomNet). The combined glomerulus-enriched gene catalogue provides the most comprehensive picture of the molecular composition of the glomerulus currently available, and GlomNet contributes an integrative systems biology approach to the understanding of glomerular signaling networks that operate during development, function, and disease.

Glcci1 Deficiency Leads to Proteinuria

Unbiased transcriptome profiling and functional genomics approaches identified glucocorticoid-induced transcript 1 (GLCCI1) as being a transcript highly specific for the glomerulus, but its role in glomerular development and disease is unknown. Here, we report that mouse glomeruli express far greater amounts of Glcci1 protein compared with the rest of the kidney. RT-PCR and Western blotting demonstrated that mouse glomerular Glcci1 is approximately 60 kD and localizes to the cytoplasm of podocytes in mature glomeruli. In the fetal kidney, intense Glcci1 expression occurs at the capillary-loop stage of glomerular development. Using gene knockdown in zebrafish with morpholinos, morphants lacking Glcci1 function had collapsed glomeruli with foot-process effacement. Permeability studies of the glomerular filtration barrier in these zebrafish morphants demonstrated a disruption of the selective glomerular permeability filter. Taken together, these data suggest that Glcci1 promotes the normal development and maintenance of podocyte structure and function.

Glomerular transcriptome changes associated with lipopolysaccharide-induced proteinuria.

Background: Global gene expression patterns have recently been characterized in normal glomeruli, but gene expression changes that accompany glomerular disease remain poorly characterized. Method: Here, we mapped global glomerular gene expression profile changes occurring in conjunction with lipopolysaccharide (LPS)-induced proteinuria in mice. Results: We observed dramatic transcriptional reprogramming in glomeruli in response to LPS, representing some 20% of all genes and about 45% of the genes that are normally highly expressed in glomeruli. Bioinformatic analysis revealed significant changes in transcripts encoding proteins involved in the regulation of adherence junctions, actin cytoskeleton and survival in podocytes. In the LPS-treated mice, we observed dysregulation of genes expressed in glomerular endothelial and mesangial cells and in podocytes, there was also a significant decrease in podocyte number. Moreover, collagen α1, α2 (IV) and laminin 10 (laminin α5β1γ1), which are expressed in immature glomeruli, were upregulated in the glomeruli of LPS-treated mice, suggesting remodeling of the glomerular basement membrane and activation of mesangial cells. By superimposing the LPS-induced changes onto GlomNet, a protein-protein interaction network was predicted for podocyte proteins affected by LPS. Conclusions: The detected changes in glomerular gene expression and their involvement in protein interaction networks provide putative markers for early and transient glomerular injury and proteinuria.

The Glomerular Transcriptome and Proteome

Histopathology provides the current basis for classification and diagnosis of glomerular disorders. Molecular profiling methods, such as microarray analysis of mRNA expression, have rapidly emerged over the past years and are now applicable to minute amounts of tissue material, such as glomeruli from embryos or adult experimental animals, or from human renal needle biopsies. This review summarizes current efforts aiming at the determination of the glomerular transcriptome and proteome during development, in the healthy adult, and in disease. These studies are encouraging and show that comprehensive molecular profiling of the kidney glomerulus will most likely provide significant new insights into the normal structure and function of the glomerular filter, the molecular mechanisms of glomerular development, the diagnosis and classification of glomerular disease, and the pathogenic mechanisms underlying the stepwise breakdown of glomerular filter function that accompanies several common systemic disorders.

A meta-analysis of expression signatures in glomerular disease

Glomerular diseases represent major diagnostic and therapeutic challenges with classification of these diseases largely relying on clinical and histological findings. Elucidation of molecular mechanisms of progressive glomerular disease could facilitate quicker development. High-throughput expression profiling reveals all genes and proteins expressed in tissue and cell samples. These methods are very appropriate for glomerular disease as pure glomeruli can be obtained from kidney biopsies. To date, proteome profiling data are only available for normal glomeruli, but more robust transcriptome methods have been applied to many mouse model and a few human glomerular diseases. Here, we have carried out a meta-analysis of currently available glomerular expression data in normal and diseased glomeruli from mice, rats, and humans using a standardized protocol. The results suggest a potential for glomerular transcriptomics in identifying pathogenic pathways, disease monitoring, and the feasibility to use animal models to study human glomerular disease. We also found that currently there are no specific consensus biomarkers or pathways among different disease data sets, indicating there are likely disease-specific mechanisms and expression profiles. Thus, further transcriptomics and proteomics analysis, especially that of dynamic changes in the diseases, may lead to novel diagnostics tools and specific pharmacologic therapies.