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Our Technology

Reprotox through our expertise has developed a proprietary technology to establish in vitro 3D testicular model for mice, rats and canine. We produce the 3D model from neonate, juvenile and adolescent, representing differential stages of spermatogenesis. This cost-effective and time-efficient system allows the study of male reproductive health with respect to various drug and toxicants. Our team continually works to improve these models, and works with clients to achive their goals.

3D Testis Model System

Reprotox through our expertise has developed an animal-free murine in vitro 3D culture model using testicular cell lines including Legdig, Sertoli and germ cells. We have confirmed the effectiveness of this model (Yin et al. 2017). This system allows the study of male reproductive health with respect to various toxicants.

Reprotox has developed a proprietary technology to establish in vitro 3D testicular model at different stage of spermatogenesis from mice, rats and canine. We derived tesicular cells from neonate, juvenile and adolescent, established these tescular-like organiods representing differential stages of spermatogenesis. This organiod culture recapitulate various features of spermatogenesis in vivo, and enable assessment of differentiation and mitosis. This technology provides a reliable, robust, and relevant in vitro system for preclinical drug discovery, repro-toxicity assessment, and disease modeling.

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Integrated Testing System to Identify and Understand the Male Reproductive Toxicity

In vivo reproductive and developmental toxicity assessment requires the use of a large number of animals. By integrating different cell types within the testis from different species, Reprotox has a array of assays to identify potential reproductive toxicity at an early stage in drug discovery and chemical safety test. It can save both time and developmental costs, and most importantly reduce the likelihood of late-stage failure.

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Machine Learning-based High-content Single Cell Analysis to Understand the Male Reproductive Toxicity

We have developed a machine learning-based HCA pipeline to examine the multiplexed phenotypic changes associated with Adverse Outcome Pathways (AOPs), including nuclear morphology, DNA synthesis, DNA damage, and cytoskeletal structure in a single-cell-based analysis, which can provide a rapid and objective High-throughput screening in the fields of efficacy/toxicity testing, medical imaging, and disease diagnosis.

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