High-content cell imaging for chemical toxicity screening in the model organism Caenorhabditis elegans

被引:0
作者
Kardal, Camiryn J. [1 ,2 ]
Dmytruk, Spencer R. [1 ]
Qureshi, Abdullah [1 ]
Wu, Cheng-Wei [1 ,2 ,3 ]
机构
[1] Univ Saskatchewan, Western Coll Vet Med, Dept Vet Biomed Sci, Saskatoon, SK S7N 5B4, Canada
[2] Univ Saskatchewan, Toxicol Ctr, Saskatoon, SK S7N 5B3, Canada
[3] Univ Saskatchewan, Coll Med, Dept Biochem Microbiol & Immunol, Saskatoon, SK S7N 5E5, Canada
基金
加拿大自然科学与工程研究理事会; 加拿大创新基金会;
关键词
C; elegans; High content screening; ToxCast; RNA splicing; Neurodegeneration; C; ELEGANS; CARCINOGENICITY; 21ST-CENTURY; TOXICOLOGY; GENETICS;
D O I
10.1016/j.vascn.2025.107756
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
The use of animal models for screening environmental chemicals for toxicity is an important step towards determining potential hazards to humans. Due to the large number of environmental chemicals with unknown biological activity, high-throughput screening has served as the primary method in toxicity testing for the past decades. However, with the emergence of diverse cellular targets that have been shown to be adversely affected by chemicals, a transition towards high-throughput screening that incorporates high-content analysis provides an array of cutting-edge experimental advantages. Here, we utilized the genetic model organism Caenorhabditis elegans to demonstrate how high-content screening can be utilized to identify new chemical modifiers of RNA splicing with the U.S. ToxCast chemical library. Through this semi-automated workflow, we highlight areas where modern high-content screening platforms provide advantages that improves on traditional methodology in high-throughput screening assays to maximize quantitative and qualitative data types collected.
引用
收藏
页数:9
相关论文
共 42 条
[1]   Chemical Genetics in C. elegans Identifies Anticancer Mycotoxins Chaetocin and Chetomin as Potent Inducers of a Nuclear Metal Homeostasis Response [J].
Abraham, Elijah ;
Athapaththu, A. M. Gihan K. ;
Atanasova, Kalina R. ;
Chen, Qi-Yin ;
Corcoran, Taylor J. ;
Piloto, Juan ;
Wu, Cheng-Wei ;
Ratnayake, Ranjala ;
Luesch, Hendrik ;
Choe, Keith P. .
ACS CHEMICAL BIOLOGY, 2024, 19 (05) :1180-1193
[2]   High-Throughput Screening: today's biochemical and cell-based approaches [J].
Blay, Vincent ;
Tolani, Bhairavi ;
Ho, Sunita P. ;
Arkin, Michelle R. .
DRUG DISCOVERY TODAY, 2020, 25 (10) :1807-1821
[3]   Methods for the enhancement of fingermarks in blood [J].
Bossers, Lydia C. A. M. ;
Roux, Claude ;
Bell, Michael ;
McDonagh, Andrew M. .
FORENSIC SCIENCE INTERNATIONAL, 2011, 210 (1-3) :1-11
[4]  
BRENNER S, 1974, GENETICS, V77, P71
[5]  
Burnett C. L., 2009, International Journal of Toxicology, V28
[6]   Intestinal Development and Gut Disease: Contributions From the Caenorhabditis elegans Model [J].
Cheddadi, Riadh ;
Yeramilli, Venkata ;
Gamra, Irene ;
Davies, Jonathan ;
Tanner, Scott ;
Martin, Colin .
JOURNAL OF SURGICAL RESEARCH, 2025, 311 :339-350
[7]   Azo-Based Fluorogenic Probes for Biosensing and Bioimaging: Recent Advances and Upcoming Challenges [J].
Chevalier, Arnaud ;
Renard, Pierre-Yves ;
Romieu, Anthony .
CHEMISTRY-AN ASIAN JOURNAL, 2017, 12 (16) :2008-2028
[8]   Translational suppression via IFG-1/eIF4G inhibits stress-induced RNA alternative splicing in Caenorhabditis elegans [J].
Chomyshen, Samantha C. ;
Tabarraei, Hadi ;
Wu, Cheng-Wei .
GENETICS, 2022, 221 (03)
[9]  
Cohen S. M., 1970, Cancer Research, V30
[10]   WorMachine: machine learning-based phenotypic analysis tool for worms [J].
Hakim, Adam ;
Mor, Yael ;
Toker, Itai Antoine ;
Levine, Amir ;
Neuhof, Moran ;
Markovitz, Yishai ;
Rechavi, Oded .
BMC BIOLOGY, 2018, 16