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WormFarm: A quantitative control and measurement device towards automated C. elegans aging analysis.
MedLine Citation:
PMID:  23442149     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Caenorhabditis elegans is a leading model organism for studying the basic mechanisms of aging. Progress has been limited, however, by the lack of an automated system for quantitative analysis of longevity and mean life span. To address this barrier, we developed "WormFarm", an integrated microfluidic device for culturing nematodes. Cohorts of 30-50 animals are maintained throughout their life span in each of 8 separate chambers on a single WormFarm polydimethylsiloxane chip. Design features allow for automated removal of progeny and efficient control of environmental conditions. In addition, we have developed computational algorithms for automated analysis of video footage to quantify survival and other phenotypes, such as body size and motility. As proof-of-principle, we show here that WormFarm successfully recapitulates survival data obtained from a standard plate-based assay for both RNAi-mediated and dietary-induced changes in life span. Further, using a fluorescent reporter in conjunction with WormFarm, we report an age-associated decrease in fluorescent intensity of GFP in transgenic worms expressing GFP tagged with a mitochondrial import signal under the control of the myo-3 promoter. This marker may therefore serve as a useful biomarker of biological age and aging rate. © 2013 The Authors Aging Cell © 2013 Blackwell Publishing Ltd/Anatomical Society of Great Britain and Ireland.
Authors:
Bo Xian; Jie Shen; Weiyang Chen; Na Sun; Nan Qiao; Dongqing Jiang; Tao Yu; Yongfan Men; Zhijun Han; Yuhong Pang; Matt Kaeberlein; Yanyi Huang; Jing-Dong J Han
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-2-26
Journal Detail:
Title:  Aging cell     Volume:  -     ISSN:  1474-9726     ISO Abbreviation:  Aging Cell     Publication Date:  2013 Feb 
Date Detail:
Created Date:  2013-2-27     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101130839     Medline TA:  Aging Cell     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
© 2013 The Authors Aging Cell © 2013 Blackwell Publishing Ltd/Anatomical Society of Great Britain and Ireland.
Affiliation:
CAS Key Laboratory for Computational Biology, CAS-Max Planck Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai, 200031, China; Center for Molecular Systems Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Lincui East Road, Beijing, 100101, China.
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