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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Data from "Single-cell integration and multi-modal profiling reveals phenotypes and spatial organization of neutrophils in colorectal cancer"

Authors: Marteau, Valentin; Nemati, Niloofar; Handler, Kristina; Raju, Deeksha; Kirchmair, Alexander; Rieder, Dietmar; Kvalem Soto, Erika; +40 Authors

Data from "Single-cell integration and multi-modal profiling reveals phenotypes and spatial organization of neutrophils in colorectal cancer"

Abstract

This archive provides all datasets needed to reproduce the single‐cell data integration detailed in the paper Single-cell integration and multi-modal profiling reveals phenotypes and spatial organization of neutrophils in colorectal cancer DOI: 10.1101/2024.08.26.609563 The archive comprises the following files: MUI_Innsbruck-adata.h5ad: In-house scRNA-seq dataset from CRC cohort I (n = 12) comprising matched peripheral blood, adjacent normal, and tumor samples generated using the BD Rhapsody platform. input_datasets.tar.xz: Preprocessed input datasets in .h5ad format required to build the CRC scRNA-seq atlas. crc_atlas_scanvi_model.tar.xz: Pretrained scArches reference model and matching .h5ad file (highly variable genes only), enabling projection of external data onto the CRC atlas. downstream_analyses_de_analysis.tar.xz: DESeq2-based differential expression analyses on pseudobulked data by cell type for various matched comparisons within the CRC atlas. Includes RDS files, result TSV tables, and short summaries for each comparison. The CRC atlas is publicly available for download and interactive exploration through a cell-x-gene instance with standardized metadata, which allows custom analyses of the atlas. For more information, check out the project website and our github repository.

Keywords

neutrophils, spatial transcriptomics, tumor microenvironment, open data, colorectal cancer, imaging mass cytometry, bioinformatics, multi-modal profiling, data integration, single-cell RNA sequencing

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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!
0
Average
Average
Average
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Cancer Research