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Lung at a Glance: an integrative web toolset of lung ontology, imaging and single cell omics

Yina Du, Weichen Ouyang, Joseph A Kitzmiller, Minzhe Guo, Shuyang Zhao, Jeffrey A Whitsett, Yan Xu
doi: https://doi.org/10.1101/2020.06.19.161851
Yina Du
1The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, 45229, USA
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Weichen Ouyang
1The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, 45229, USA
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Joseph A Kitzmiller
1The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, 45229, USA
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Minzhe Guo
1The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, 45229, USA
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Shuyang Zhao
1The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, 45229, USA
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Jeffrey A Whitsett
1The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, 45229, USA
3Department of Pediatrics, University of Cincinnati School of Medicine, Cincinnati, OH, 45229, USA
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Yan Xu
1The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, 45229, USA
2Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, 45229, USA
3Department of Pediatrics, University of Cincinnati School of Medicine, Cincinnati, OH, 45229, USA
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  • For correspondence: Yan.Xu@cchmc.org
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ABSTRACT

Recent advances in single-cell omics and high-resolution imaging have provided unanticipated data resources for the elucidation of genes underlying the complex biological processes critical for organ formation and function. However, processing and integrating large amounts of single-cell omics and imaging data presents a major challenge for most researchers. There is a critical need for ready-to-use computational tools for data/knowledge integration and visualization. Here we present “Lung-at-a-glance”, an easy-to-use web toolset for visualizing and interoperating complex omics and imaging data, providing an interactive web interface to bridge lung anatomic ontology classifications to lung histology and immunofluorescence confocal images, and cell-type-specific gene expression. “Lung-at-a-glance” contains three interactive components: 1) “Region at a glance”, 2) “Cell at a glance” and 3) “Gene at a glance”. “Lung-at-a-glance” and other newly developed web tools for lung-related data query, integration and visualization are publicly available on LGEA web portal v3 https://research.cchmc.org/pbge/lunggens/mainportal.html.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Funding: This work is supported by US National Institutes of Health (NIH) grants U01HL122642 (LungMAP 1), U01HL148856 (LungMAP 2), U01HL134745, and P30 DK117467.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted June 20, 2020.
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Lung at a Glance: an integrative web toolset of lung ontology, imaging and single cell omics
Yina Du, Weichen Ouyang, Joseph A Kitzmiller, Minzhe Guo, Shuyang Zhao, Jeffrey A Whitsett, Yan Xu
bioRxiv 2020.06.19.161851; doi: https://doi.org/10.1101/2020.06.19.161851
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Lung at a Glance: an integrative web toolset of lung ontology, imaging and single cell omics
Yina Du, Weichen Ouyang, Joseph A Kitzmiller, Minzhe Guo, Shuyang Zhao, Jeffrey A Whitsett, Yan Xu
bioRxiv 2020.06.19.161851; doi: https://doi.org/10.1101/2020.06.19.161851

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