학술논문

Whole-organism 3D quantitative characterization of zebrafish melanin by silver deposition micro-CT.
Document Type
Academic Journal
Author
Katz SR; Division of Experimental Pathology, Department of Pathology, Pennsylvania State University College of Medicine, Hershey, United States.; The Jake Gittlen Laboratories for Cancer Research, Penn State College of Medicine, Hershey, United States.; Medical Scientist Training Program, Penn State College of Medicine, Hershey, United States.; Yakovlev MA; Division of Experimental Pathology, Department of Pathology, Pennsylvania State University College of Medicine, Hershey, United States.; The Jake Gittlen Laboratories for Cancer Research, Penn State College of Medicine, Hershey, United States.; Vanselow DJ; Division of Experimental Pathology, Department of Pathology, Pennsylvania State University College of Medicine, Hershey, United States.; The Jake Gittlen Laboratories for Cancer Research, Penn State College of Medicine, Hershey, United States.; Ding Y; Division of Experimental Pathology, Department of Pathology, Pennsylvania State University College of Medicine, Hershey, United States.; The Jake Gittlen Laboratories for Cancer Research, Penn State College of Medicine, Hershey, United States.; Medical Scientist Training Program, Penn State College of Medicine, Hershey, United States.; Lin AY; Division of Experimental Pathology, Department of Pathology, Pennsylvania State University College of Medicine, Hershey, United States.; The Jake Gittlen Laboratories for Cancer Research, Penn State College of Medicine, Hershey, United States.; Parkinson DY; Advanced Light Source, Lawrence Berkeley National Labs, Berkeley, United States.; Wang Y; Mobile Imaging Innovations, Inc, Palatine, United States.; Canfield VA; Division of Experimental Pathology, Department of Pathology, Pennsylvania State University College of Medicine, Hershey, United States.; The Jake Gittlen Laboratories for Cancer Research, Penn State College of Medicine, Hershey, United States.; Ang KC; Division of Experimental Pathology, Department of Pathology, Pennsylvania State University College of Medicine, Hershey, United States.; The Jake Gittlen Laboratories for Cancer Research, Penn State College of Medicine, Hershey, United States.; Zebrafish Functional Genomics Core, Penn State College of Medicine, Hershey, United States.; Cheng KC; Division of Experimental Pathology, Department of Pathology, Pennsylvania State University College of Medicine, Hershey, United States.; The Jake Gittlen Laboratories for Cancer Research, Penn State College of Medicine, Hershey, United States.; Zebrafish Functional Genomics Core, Penn State College of Medicine, Hershey, United States.
Source
Publisher: eLife Sciences Publications, Ltd Country of Publication: England NLM ID: 101579614 Publication Model: Electronic Cited Medium: Internet ISSN: 2050-084X (Electronic) Linking ISSN: 2050084X NLM ISO Abbreviation: Elife Subsets: MEDLINE
Subject
Language
English
Abstract
We previously described X-ray histotomography, a high-resolution, non-destructive form of X-ray microtomography (micro-CT) imaging customized for three-dimensional (3D), digital histology, allowing quantitative, volumetric tissue and organismal phenotyping (Ding et al., 2019). Here, we have combined micro-CT with a novel application of ionic silver staining to characterize melanin distribution in whole zebrafish larvae. The resulting images enabled whole-body, computational analyses of regional melanin content and morphology. Normalized micro-CT reconstructions of silver-stained fish consistently reproduced pigment patterns seen by light microscopy, and further allowed direct quantitative comparisons of melanin content across wild-type and mutant samples, including subtle phenotypes not previously noticed. Silver staining of melanin for micro-CT provides proof-of-principle for whole-body, 3D computational phenomic analysis of a specific cell type at cellular resolution, with potential applications in other model organisms and melanocytic neoplasms. Advances such as this in whole-organism, high-resolution phenotyping provide superior context for studying the phenotypic effects of genetic, disease, and environmental variables.
Competing Interests: SK, DV, YD, AL, DP, VC, KA, KC None, MY none, YW Yuxin Wang is affiliated with Mobile Imaging Innovations, Inc. The author has no other competing interests to declare.
(© 2021, Katz et al.)