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Mai, H. ; Rong, Z. ; Zhao, S. ; Cai, R. ; Steinke, H.* ; Bechmann, I.* ; Ertürk, A.

Scalable tissue labeling and clearing of intact human organs.

Nat. Protoc. 17, 2188-2215 (2022)
Publ. Version/Full Text Research data Research data DOI PMC
Open Access Green as soon as Postprint is submitted to ZB.
Advances in tissue labeling and clearing methods include improvement of tissue transparency, better preservation of fluorescence signal, compatibility with immunostaining and large sample volumes. However, as existing methods share the common limitation that they can only be applied to human tissue slices, rendering intact human organs transparent remains a challenge. Here, we describe experimental details of the small-micelle-mediated human organ efficient clearing and labeling (SHANEL) pipeline, which can be applied for cellular mapping of intact human organs. We have successfully cleared multiple human organs, including kidney, pancreas, heart, lung, spleen and brain, as well as hard tissue like skull. We also describe an advanced volumetric imaging system using a commercial light-sheet fluorescence microscope that can accommodate most human organs and a pipeline for whole-organ imaging and visualization. The complete experimental process of labeling and clearing whole human organs takes months and the analysis process takes several weeks, depending on the organ types and sizes.
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Publication type Article: Journal article
Document type Review
Language english
Publication Year 2022
HGF-reported in Year 2022
ISSN (print) / ISBN 1754-2189
e-ISSN 1750-2799
Quellenangaben Volume: 17, Issue: 10, Pages: 2188-2215 Article Number: , Supplement: ,
Publisher Nature Publishing Group
Reviewing status Peer reviewed
Institute(s) Institute for Tissue Engineering and Regenerative Medicine (ITERM)
POF-Topic(s) 30205 - Bioengineering and Digital Health
Research field(s) Enabling and Novel Technologies
PSP Element(s) G-505800-001
Grants Deutsche Forschungsgemeinschaft (German Research Foundation)
Scopus ID 85134578246
PubMed ID 35859136
Erfassungsdatum 2022-11-03