optimizing-isolation-purification-murine-glomerular-mesangial

Optimizing Isolation and Purification of Murine Glomerular Mesangial Cells

Mesangial cells (MCs) are stromal cells located in the middle space of the glomerulus, with pivotal functions in glomerular homeostasis. Methods for ...

Chengdu NO. 7 High School

The chemical composition of scaffolds is similar to the extracellular matrix of the target tissue, but sometimes scaffolds cannot meet the special functional requirements for the initial stage of engineering tissue, such as mechanical and optical properties. Bionic scaffolds require certain levels of supramolecular structure, textile structure and liquid crystal structure. Here, we will focus our attention on animal tissues with a similar high-level structure to that of the target organization and we hope to achieve the desired results through new technical means. In this study, we have developed a method to obtain a fish scale lamellar matrix from grass carp scales. The fine structure of the scale matrix has been studied, and it was found that the grass carp scale matrix is a textured structure consisting of multiple collagen sheets, which have a double-twisted spiral structure similar to a liquid crystal, thus correcting the literature reports of a single twisted spiral structure. Interestingly, this structure has many similarities with the cornea, cementum and tibial matrix. At the same time, the correlation between the etching time and the optical properties of the scaffold was also studied, and the scale matrix can reach light transmission and refraction levels similar to those of the corneal stroma. Moreover, the matrix has good mechanical properties,  anti-enzymatic abilities and compatibility with human corneal epithelial cells. Therefore, this kind of scaffold material and preparation method, with a lamellar structure and special physical parameters, may provide new hope for corneal prosthesis.

The lamellar structure and biomimetic properties of a fish scale matrix.

Deep learning (DL) has been widely used to estimate clinical images. The objective of this project was to create DL models to predict the early postoperative visual acuity after small-incision lenticule extraction (SMILE) surgery.

Prediction of Early Visual Outcome of Small-Incision Lenticule Extraction (SMILE) Based on Deep Learning.

Deep learning has been extensively used in digital histopathology. The purpose of this study was to test deep learning (DL) algorithms for predicting the vital status of whole-slide image (WSI) of uveal melanoma (UM).

Deep learning classification of uveal melanoma based on histopathological images and identification of a novel indicator for prognosis of patients.

Tumor stem cells have emerged as a crucial focus of investigation and a therapeutic target in the context of cancer metastasis and drug resistance. They represent a promising novel approach to address the treatment of uveal melanoma (UVM).

Article	Year
The lamellar structure and biomimetic properties of a fish scale matrix. RSC advances\| PubMed ID: 35494441	2020
Prediction of Early Visual Outcome of Small-Incision Lenticule Extraction (SMILE) Based on Deep Learning. Ophthalmology and therapy\| PubMed ID: 36826752	2023
Deep learning classification of uveal melanoma based on histopathological images and identification of a novel indicator for prognosis of patients. Biological procedures online\| PubMed ID: 37268878	2023
Cross talk between tumor stemness and microenvironment for prognosis and immunotherapy of uveal melanoma. Journal of cancer research and clinical oncology\| PubMed ID: 37420017	2023

Xiaoke Huang

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