ACT-PRESTO: Biological Tissue Clearing and Immunolabeling Methods for Volume Imaging
- Authors
- Lee, Eunsoo; Sun, Woong
- Issue Date
- 12월-2016
- Publisher
- JOURNAL OF VISUALIZED EXPERIMENTS
- Keywords
- Bioengineering; Issue 118; tissue clearing; immunolabeling; 3D imaging; tissue-hydrogel; tissue engineering; neuroscience; ACT-PRESTO; X-CLARITY
- Citation
- JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, no.118
- Indexed
- SCIE
SCOPUS
- Journal Title
- JOVE-JOURNAL OF VISUALIZED EXPERIMENTS
- Number
- 118
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/132455
- DOI
- 10.3791/54904
- ISSN
- 1940-087X
- Abstract
- The identification and exploration of the detailed organization of organs or of the whole body at the cellular level are fundamental challenges in biology. Transitional methods require a substantial amount of time and effort to obtain a 3D image and including sectioning the intact tissue, immunolabeling, and imaging serially-sectioned tissue, which produces a loss of information at each step of the process. In recently developed approaches for high-resolution imaging within intact tissue, molecular characterization has been restricted to the labeling of proteins. However, currently available protocols for organ clearing require a considerably long process time, making it difficult to implement tissue clearing techniques in the lab. We recently established a rapid and highly-reproducible protocol termed ACT-PRESTO (active clarity technique-pressure related efficient and stable transfer of macromolecules into organs), which allows for tissue clearance within several hours. Moreover, ACTPRESTO enables rapid immunolabeling with conventional methods and accelerates antibody penetration into the deep layer of denselyformed, thick specimens by applying pressure or convection flow. We describe how to prepare tissues, how to clear by lipid removal using electrophoresis, and how to immuno-stain by a pressure-assisted delivery. The rapidity and consistency of the protocol will expedite the performance of 3D histological research and volume-based diagnoses.
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Collections - Graduate School > Department of Biomedical Sciences > 1. Journal Articles
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