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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Processed Seurat Object of scRNAseq data from wildtype and CaMKK2 KO immune infiltrate of CT2a preclinical murine glioma

Authors: Tomaszewski, William;

Processed Seurat Object of scRNAseq data from wildtype and CaMKK2 KO immune infiltrate of CT2a preclinical murine glioma

Abstract

This repository contains the processed Seurat objects generated from the raw data deposited at the Gene Expression Omnibus (GEO) under GSE197879. Details about the experiment and sequencing are available under GSE197879. Information on how the Seurat objects were created can be found in this GitHub repository https://github.com/wht10/CT2A_scRNAseq_CaMKK2KOvWT . Notable metadata within each Seurat object: 1. Processed_CD45_Live_Fig2b.rds Genotype - whether the cell is from a WT or CaMKK2 KO mouse HTO_maxID - The biological replicate that the cell came from (4 biological replicates per genotype) MouseID - A concatenation between the genotype and HTO_maxID, providing a unique identifier for each biological replicate Cell.Type - The cell type annotations for each cell. Can be assigned to "Idents()" to change the name of the cell identities. Geno.Ident - A concatenation between Genotype and Cell.Type. By re-assigning this to "Idents()" "FindMarkers()" can be used to investigate differentially expressed genes within a cell-type between genotypes. 2. Reclustered_TILs_Fig3a.rds Genotype - whether the cell is from a WT or CaMKK2 KO mouse HTO_maxID - The biological replicate that the cell came from (4 biological replicates per genotype) MouseID - A concatenation between the genotype and HTO_maxID, providing a unique identifier for each biological replicate Celltype - The cell type annotations for each cell. Can be assigned to "Idents()" to change the name of the cell identities. Geno_Ident - A concatenation between Genotype and cell-type. By re-assigning this to "Idents()" "FindMarkers()" can be used to investigate differentially expressed genes within a cell-type between genotypes.

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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
OpenAIRE UsageCountsViews provided by UsageCounts
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1
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