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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)
Verlagsversion Forschungsdaten Forschungsdaten DOI PMC
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
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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Publikationstyp Artikel: Journalartikel
Dokumenttyp Review
Sprache englisch
Veröffentlichungsjahr 2022
HGF-Berichtsjahr 2022
ISSN (print) / ISBN 1754-2189
e-ISSN 1750-2799
Zeitschrift Nature Protocols
Quellenangaben Band: 17, Heft: 10, Seiten: 2188-2215 Artikelnummer: , Supplement: ,
Verlag Nature Publishing Group
Begutachtungsstatus Peer reviewed
Institut(e) Institute for Tissue Engineering and Regenerative Medicine (ITERM)
POF Topic(s) 30205 - Bioengineering and Digital Health
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) G-505800-001
Förderungen Deutsche Forschungsgemeinschaft (German Research Foundation)
Scopus ID 85134578246
PubMed ID 35859136
Erfassungsdatum 2022-11-03