Searching the RRID Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes
Protocol Name
PDF Report How to cite
Jennifer B Treweek, Ken Y Chan, Nicholas C Flytzanis, Bin Yang, Benjamin E Deverman, Alon Greenbaum, Antti Lignell, Cheng Xiao, Long Cai, Mark S Ladinsky, Pamela J Bjorkman, Charless C Fowlkes, Viviana Gradinaru 2019. Whole-body tissue stabilization and selective extractions via tissue-hydrogel hybrids for high-resolution intact circuit mapping and phenotyping. protocols.io dx.doi.org/10.17504/protocols.io.8xehxje
Copy Citation Copied
Protocol Information

URL: https://dx.doi.org/10.17504/protocols.io.8xehxje

Authors: Jennifer B Treweek, Ken Y Chan, Nicholas C Flytzanis, Bin Yang, Benjamin E Deverman, Alon Greenbaum, Antti Lignell, Cheng Xiao, Long Cai, Mark S Ladinsky, Pamela J Bjorkman, Charless C Fowlkes, Viviana Gradinaru

Group: Optical Clearing of Tissue, Neurodegeneration Method Development Community

Summary: To facilitate fine-scale phenotyping of whole specimens, we describe here a set of tissue fixation-embedding, detergent-clearing and staining protocols that can be used to transform excised organs and whole organisms into optically transparent samples within 1–2 weeks without compromising their cellular architecture or endogenous fluorescence. PACT (passive CLARITY technique) and PARS (perfusion-assisted agent release in situ) use tissue-hydrogel hybrids to stabilize tissue biomolecules during selective lipid extraction, resulting in enhanced clearing efficiency and sample integrity. Furthermore, the macromolecule permeability of PACT- and PARS-processed tissue hybrids supports the diffusion of immunolabels throughout intact tissue, whereas RIMS (refractive index matching solution) grants high-resolution imaging at depth by further reducing light scattering in cleared and uncleared samples alike. These methods are adaptable to difficult-to-image tissues, such as bone (PACT-deCAL), and to magnified single-cell visualization (ePACT). Together, these protocols and solutions enable phenotyping of subcellular components and tracing cellular connectivity in intact biological networks.

Affiliations: Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, USA, Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, USA, Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, USA, Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, USA, Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, USA., Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, USA, Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California, USA, Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, USA, Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California, USA, Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, USA, Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, USA, Department of Computer Science, University of California, Irvine, California, USA, Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, USA

External URL: https://www.nature.com/articles/nprot.2015.122

Version: 1

Publication Date: 2019

Expand All
Usage and Citation Metrics

Coming soon.

Checkfor all resource mentions.

Collaborator Network

Coming soon.

Data and Source Information

Source: Protocols.io