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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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Multiplexed imaging mass cytometry analysis characterizes the vascular niche in pancreatic cancer

Authors: Jonathan H. Sussman; Nathalia Kim; Daniel Traum; Takeshi Katsuda; Samantha B. Kemp; Benjamin M. Kahn; Devora Delman; +4 Authors

Multiplexed imaging mass cytometry analysis characterizes the vascular niche in pancreatic cancer

Abstract

All data supporting the publication: "Multiplexed imaging mass cytometry analysis characterizes the vascular niche in pancreatic cancer." 1. Fully_Processed_OME.TIFF: This folder contains the OME.TIFF files with all markers after compensation and hot pixel removal for visualization of the data. These can be opened with QuPath and other software. 2. PDAC_IMC_Seurat_FINAL.rds: Seurat object of all cells included in the analysis with cell type and neighborhood annotations, and unintegrated and rPCA-integrated UMAP reductions. 3. Raw_Data_TIFF_Files: All raw individual TIFF files from the image acquisition 4. ROI_Selection: Brightfield and IHC images of individual samples showing where the ROIs for each sample are collected 5. Segmentation_Files: All relevant segmentation files from Mesmer for nuclear and whole cell segmentation.

Related Organizations
Keywords

Pancreatic ductal adenocarcinoma, Imaging mass cytometry, Multiplexed imaging, Spatial proteomics, Angiogenesis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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Cancer Research