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Part 1: Document Description
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Citation |
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Title: |
Spatio-temporal effects of genetic and therapeutic perturbation on the immune micro-environment in murine models of lung and pancreas adenocarcinomas |
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Identification Number: |
doi:10.7910/DVN/FO1M99 |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2022-10-12 |
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Version: |
1 |
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Bibliographic Citation: |
Gaglia, Giorgio, 2022, "Spatio-temporal effects of genetic and therapeutic perturbation on the immune micro-environment in murine models of lung and pancreas adenocarcinomas", https://doi.org/10.7910/DVN/FO1M99, Harvard Dataverse, V1 |
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Citation |
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Title: |
Spatio-temporal effects of genetic and therapeutic perturbation on the immune micro-environment in murine models of lung and pancreas adenocarcinomas |
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Alternative Title: |
Spatially resolved immune profiling of lung adenocarcinoma mouse model KP LucOS |
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Identification Number: |
doi:10.7910/DVN/FO1M99 |
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Authoring Entity: |
Gaglia, Giorgio (Brigham and Women's Hospital) |
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Software used in Production: |
Minerva Browser |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Arena, Sarah |
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Depositor: |
Arena, Sarah |
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Date of Deposit: |
2021-07-23 |
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Holdings Information: |
https://doi.org/10.7910/DVN/FO1M99 |
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Study Scope |
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Keywords: |
Medicine, Health and Life Sciences |
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Topic Classification: |
Adenocarcinoma of Lung |
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Abstract: |
The collection comprises preservation-quality files of Minerva output files without needing download terabyte scale images. To view data in a browser follow this link: <a>https://www.cycif.org/data/gaglia-mit-ludwig-2020/osd-gemm-lung.html</a>. This dataset uses the Minerva Suite, a series of software tools developed by the Laboratory of Systems Pharmacology to visualize multiplexed tissue image data in a web browser. Researchers or pathologists can annotate and describe images for users and users can use zooming and panning features to explore the full resolution images without needing to download multi-GB/TB image files. These annotated and unannotated images are created by uploading quality controlled ome.tiffs and segmentation masks, along with channel metadata and text descriptions, into the Minerva Author tool. These input files produce .json files, an .html file, and hundreds of .jpg pyramid files that make the images browsable online. This dataset uses Cyclic Immunofluorescence (t-CyCIF) to explore the organization of immune cells in a genetically engineered mouse model (GEMM) of lung adenocarcinoma. |
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Kind of Data: |
ome-tiff |
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Kind of Data: |
image data |
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Kind of Data: |
clinical data |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a> |
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Other Study Description Materials |
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Related Materials |
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https://github.com/labsyspharm/minerva-browser/releases/tag/v3.2.6 |
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Label: |
gaglia-2020-gemm-lung.zip |
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Text: | |
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Notes: |
application/zip |
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Label: |
index.html |
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Text: |
Uploaded with GitHub Action from labsyspharm/minerva-dataverse-upload. |
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Notes: |
text/html |
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Label: |
README.md |
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Text: |
Uploaded with GitHub Action from labsyspharm/minerva-dataverse-upload. |
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Notes: |
text/markdown |