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Three-dimensional image reconstruction of distribution of Pnmt(+) cell-derived cells in murine heart
Elucidating the function of specific cell types in a highly complex multicellular system such as the heart often requires detailed anatomic reconstruction. We recently described a distinctive class of phenylethanolamine n-methyltransferase (Pnmt(+)) cell-derived cardiomyocytes (PdCMs), a new cardiom...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5613735/ https://www.ncbi.nlm.nih.gov/pubmed/28949324 http://dx.doi.org/10.1038/sdata.2017.134 |
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author | Ni, Haibo Wang, Yange Crawford, William Zhang, Shanzhuo Cheng, Longxian Zhang, Henggui Lei, Ming |
author_facet | Ni, Haibo Wang, Yange Crawford, William Zhang, Shanzhuo Cheng, Longxian Zhang, Henggui Lei, Ming |
author_sort | Ni, Haibo |
collection | PubMed |
description | Elucidating the function of specific cell types in a highly complex multicellular system such as the heart often requires detailed anatomic reconstruction. We recently described a distinctive class of phenylethanolamine n-methyltransferase (Pnmt(+)) cell-derived cardiomyocytes (PdCMs), a new cardiomyocyte population with a potential endocrine role. In this dataset, a 3D reconstruction was carried out to visualise the distribution of PdCMs throughout the murine heart. Rigid registration (stiff rotation and translation) was applied to properly align the fused heart slice images based on landmarks using TrakEM2, an open source plug-in in Fiji. The registered slices were then analysed and reconstructed using MATLAB (MATLAB(®). Version 8.3.0.532). The final reconstructed 3D volume was 561×866×48 pixels (corresponding to spatial resolutions of 5.8, 8.9 and 2.5 mm in the x-, y- and z-direction respectively), and visualised in Paraview. The reconstruction allows for detailed analyses of morphology, projections and cellular features of different cell types, enabling further geometrical and topological analyses. Image data can be accessed and viewed through Figshare. |
format | Online Article Text |
id | pubmed-5613735 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-56137352017-10-03 Three-dimensional image reconstruction of distribution of Pnmt(+) cell-derived cells in murine heart Ni, Haibo Wang, Yange Crawford, William Zhang, Shanzhuo Cheng, Longxian Zhang, Henggui Lei, Ming Sci Data Data Descriptor Elucidating the function of specific cell types in a highly complex multicellular system such as the heart often requires detailed anatomic reconstruction. We recently described a distinctive class of phenylethanolamine n-methyltransferase (Pnmt(+)) cell-derived cardiomyocytes (PdCMs), a new cardiomyocyte population with a potential endocrine role. In this dataset, a 3D reconstruction was carried out to visualise the distribution of PdCMs throughout the murine heart. Rigid registration (stiff rotation and translation) was applied to properly align the fused heart slice images based on landmarks using TrakEM2, an open source plug-in in Fiji. The registered slices were then analysed and reconstructed using MATLAB (MATLAB(®). Version 8.3.0.532). The final reconstructed 3D volume was 561×866×48 pixels (corresponding to spatial resolutions of 5.8, 8.9 and 2.5 mm in the x-, y- and z-direction respectively), and visualised in Paraview. The reconstruction allows for detailed analyses of morphology, projections and cellular features of different cell types, enabling further geometrical and topological analyses. Image data can be accessed and viewed through Figshare. Nature Publishing Group 2017-09-26 /pmc/articles/PMC5613735/ /pubmed/28949324 http://dx.doi.org/10.1038/sdata.2017.134 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. |
spellingShingle | Data Descriptor Ni, Haibo Wang, Yange Crawford, William Zhang, Shanzhuo Cheng, Longxian Zhang, Henggui Lei, Ming Three-dimensional image reconstruction of distribution of Pnmt(+) cell-derived cells in murine heart |
title | Three-dimensional image reconstruction of distribution of Pnmt(+) cell-derived cells in murine heart |
title_full | Three-dimensional image reconstruction of distribution of Pnmt(+) cell-derived cells in murine heart |
title_fullStr | Three-dimensional image reconstruction of distribution of Pnmt(+) cell-derived cells in murine heart |
title_full_unstemmed | Three-dimensional image reconstruction of distribution of Pnmt(+) cell-derived cells in murine heart |
title_short | Three-dimensional image reconstruction of distribution of Pnmt(+) cell-derived cells in murine heart |
title_sort | three-dimensional image reconstruction of distribution of pnmt(+) cell-derived cells in murine heart |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5613735/ https://www.ncbi.nlm.nih.gov/pubmed/28949324 http://dx.doi.org/10.1038/sdata.2017.134 |
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