Search bioRxiv⌕ Search

bioRxiv · 10.1101/2021.10.20.465120

A Tissue-Bioengineering Strategy for Modeling Rare Human Kidney Diseases In Vivo

Abstract

The lack of animal models for certain human diseases precludes our understanding of disease mechanisms and our ability to test new therapies in vivo. Here we generated kidney organoids from Tuberous Sclerosis Complex (TSC) patient-derived-hiPSCs to recapitulate a rare kidney tumor called angiomylipoma (AML). Organoids derived from TSC2-/- hiPSCs but not from isogenic TSC2+/- or TSC2+/+ hiPSCs shared a common transcriptional signature and a myomelanocytic cell phenotype with kidney AMLs, and developed epithelial cysts, replicating two major TSC-associated kidney lesions driven by genetic mechanisms that cannot be robustly and consistently recapitulated with transgenic mice. Transplantation of multiple TSC2-/- kidney organoids into the kidneys of immunodeficient rats allowed us to recapitulate AML and cystic kidney disease in vivo, in a scalable fashion and with fidelity, and to test the efficiency of rapamycin-loaded nanoparticles as a novel approach to ablate AMLs by inducing apoptosis triggered by mTOR-inhibition. Collectively, these methods represent a novel tissue-bioengineering strategy for rare disease modeling in vivo.

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Hernandez, J., Wang, X., Vazquez-Segoviano, M., Sobral-Reyes, M. F., Moran-Horowich, A., Sundberg, M., Lopez-Marfil, M., Lopez-Cantu, D. O., Probst, C., Ruiz-Esparza, G., Giannikou, K., Henske, E., Kwiatkowski, D., Sahin, M., Lemos, D. R.. 2021-10-20. A Tissue-Bioengineering Strategy for Modeling Rare Human Kidney Diseases In Vivo. https://doi.org/10.1101/2021.10.20.465120

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Mesoscale Soft Robotics for Mechanically Perturbing and Functionally Monitoring Responses in Human Organoids

Human organoids represent promising models for studies of significance to the biology and medical communities. Of the existing approaches for monitoring organoids, none offers the ability to apply programmable mechanical forces while simultaneously recording multi-modal physiological responses, of relevance to phenomena spanning from traumatic brain injuries to cardiac rhythm disorders. Here, we present a mesoscale soft robotic organoid interface that enables programmable delivery of forces to organoids of diverse shapes, and to map electrophysiological activity and mechanical responses. The platform combines actuation elements with integrated sensors for quantitative measurement and control. Studies using this technology reveal that spheroidal cortical organoids exhibit distinct responses to mechanical trauma, including silencing, recovery, and changes in neuronal firing patterns. Additional experiments on cardiac ring tissues demonstrate that sustained stretching induces beat-to-beat rhythm variability and altered conduction. The results establish a framework for investigating force-triggered transitions between physiological and disease-like states in human tissue models.

bioengineering↗

Few-shot regulatory sequence design with a genomic language model

A central challenge in generative biology is translating knowledge learned from natural sequences and experiments into designs with desired functions. In-context learning (ICL) is an emergent capability of large language models that allows them to adapt to new tasks from a few examples without additional training, enabling these models to become general-purpose learners. Here, we show that the genome language model, Evo 2, exhibits generative ICL in biological sequence design. Prompting with just tens of examples conditions Evo 2 to generate novel and diverse regulatory DNA sequences without any additional training. Mechanistic analysis suggests that genomic ICL may originate from induction, similar to phenomena observed in natural language. Reinforcement learning leveraging sequence-to-function models as experiment-derived rewards further strengthens ICL. We first validate this approach by generating enhancers that drive cell-type-specific gene expression in three human cell lines. Extending this approach in vivo, enhancers designed using human regulatory element data selectively label layer 5 extratelencephalic neurons in the mouse cortex with high specificity and stronger activity than existing enhancers. Our study provides evidence of emergent properties in genomic sequence models and introduces a promising approach for improving functional conditioning in generative biology.

bioengineering↗

IOP-independent treatment for neurodegeneration in glaucoma using optimized ROS-scavenging microparticles for sustained release of erythropoietin

Glaucoma is a slow-progressing neurodegenerative disease of the optic projection to the brain and a leading cause of blindness worldwide. Current treatments are targeted towards lowering intraocular pressure (IOP), the only known, modifiable risk factor; however, this strategy is ineffective in many patients. An early hallmark of glaucomatous neurodegeneration is increased reactive oxygen species (ROS), representing an alternative opportunity for intervention to halt or slow disease progression. In this work, we optimize a ROS-scavenging copolymer, poly(propylene sulfide-co-ethylene sulfide) (PPSES), for formulation of size-controlled, stabilized, antioxidant microparticles (MPs) for sustained release of the protein erythropoietin (EPO). EPO promotes biological antioxidant defense via activation of NRF2-mediated transcription of antioxidant genes. This MP system overcomes the short half-life of EPO and leverages the combined benefits of bioactive EPO with long-lasting, inherently antioxidant PPSES MPs. The lead EPO-MP formulation preserves neurons in both mouse and non-human primate models of glaucoma through suppression of oxidative stress and optic nerve degeneration. EPO-loaded PPSES MPs represent a translationally relevant therapy for long-term management of glaucoma independent of IOP.

bioengineering↗