Single-cell analysis reveals prognostic fibroblast subpopulations linked to molecular and immunological subtypes of lung cancer
Single-cell analysis reveals prognostic fibroblast subpopulations linked to molecular and immunological subtypes of lung cancer
R Data files associated with datasets generated in our study "Single-cell analysis reveals prognostic fibroblast subpopulations linked to molecular and immunological subtypes of lung cancer". These include a Seurat object holding integrated scRNA-sequencing data for fibroblasts isolated from multiple human lung cancer datasets (IntegratedFibs_Zenodo.Rdata); a dataframe holding histo-cytometry results from multiplexed immunohistochemistry (mxIHC) analysis performed on whole human lung cancer tissue sections; and additional datafiles required to reproduce the paper's figures. Full details and code demonstrating their use in our analysis are provided on Github (https://github.com/cjh-lab/NCOMMS_NSCLC_scFibs).
Hanley, Christopher
7e2d840d-e724-4389-a362-83741ccdf241
Hanley, Christopher
7e2d840d-e724-4389-a362-83741ccdf241
Hanley, Christopher
(2022)
Single-cell analysis reveals prognostic fibroblast subpopulations linked to molecular and immunological subtypes of lung cancer.
Zenodo
doi:10.5281/zenodo.7400872
[Dataset]
Abstract
R Data files associated with datasets generated in our study "Single-cell analysis reveals prognostic fibroblast subpopulations linked to molecular and immunological subtypes of lung cancer". These include a Seurat object holding integrated scRNA-sequencing data for fibroblasts isolated from multiple human lung cancer datasets (IntegratedFibs_Zenodo.Rdata); a dataframe holding histo-cytometry results from multiplexed immunohistochemistry (mxIHC) analysis performed on whole human lung cancer tissue sections; and additional datafiles required to reproduce the paper's figures. Full details and code demonstrating their use in our analysis are provided on Github (https://github.com/cjh-lab/NCOMMS_NSCLC_scFibs).
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Published date: 5 December 2022
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Local EPrints ID: 474649
URI: http://eprints.soton.ac.uk/id/eprint/474649
PURE UUID: 301208b6-9248-49c0-830a-00cc8ec65cdb
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Date deposited: 28 Feb 2023 17:44
Last modified: 06 May 2023 01:50
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