基于活细胞成像的动态血管形成分析用于抗血管药物评估与筛选。

Live-cell imaging-based dynamic vascular formation assay for antivascular drug evaluation and screening.

作者信息

Li Zhiyang, Zhang Heng, Sun Yujie, Feng Zhuangzhuang, Cui Bijia, Han Jingxia, Li Yinan, Liu Huijuan, Sun Tao

机构信息

State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy, Nankai University, Tianjin, China.

出版信息

iScience. 2023 Apr 23;26(5):106721. doi: 10.1016/j.isci.2023.106721. eCollection 2023 May 19.

DOI:10.1016/j.isci.2023.106721

PMID:37216092

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10193242/

Abstract

New vessel formation (angiogenesis) is an essential physiological process for embryologic development, normal growth, and tissue repair. Angiogenesis is tightly regulated at the molecular level. Dysregulation of angiogenesis occurs in various pathologies and is one of the hallmarks of cancer. However, most existing methods for evaluating cell vascular formation are limited to static analysis and prone to bias due to time, field of vision, and parameter selection. Code scripts, such as AngiogenesisAnalyzer.ijm, AutomaticMeasure.ijm, and VM.R., were developed to study the dynamic angiogenesis process. This method was used to screen drugs that could affect the time, maximum value, tilt, and decline rate of cell vascular formation and angiogenesis. Animal experiments have confirmed that these drugs could inhibit the formation of blood vessels. This work provides a new perspective for the research of angiogenesis process and is helpful to the development of drugs related to angiogenesis.

摘要

新血管形成（血管生成）是胚胎发育、正常生长和组织修复所必需的生理过程。血管生成在分子水平上受到严格调控。血管生成失调发生在各种病理状态中，并且是癌症的标志之一。然而，大多数现有的评估细胞血管形成的方法仅限于静态分析，并且由于时间、视野和参数选择而容易产生偏差。开发了诸如AngiogenesisAnalyzer.ijm、AutomaticMeasure.ijm和VM.R.等代码脚本，以研究动态血管生成过程。该方法用于筛选可能影响细胞血管形成和血管生成的时间、最大值、倾斜度和下降率的药物。动物实验已证实这些药物可抑制血管形成。这项工作为血管生成过程的研究提供了新的视角，并有助于与血管生成相关的药物开发。