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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Single-cell landscape of innate and acquired drug resistance in acute myeloid leukemia: scRNA-seq and CyTOF processed datasets

Authors: Wegmann, Rebekka;

Single-cell landscape of innate and acquired drug resistance in acute myeloid leukemia: scRNA-seq and CyTOF processed datasets

Abstract

This data was generated as part of the Tumor Profiler study. If you use it in your research, please cite: Wegmann, R., Bonilla, X., Casanova, R. et al. Single-cell landscape of innate and acquired drug resistance in acute myeloid leukemia. Nat Commun 15, 9402 (2024). https://doi.org/10.1038/s41467-024-53535-4 Derived data - scRNA-seq This is an R data set (.RDS) containing a SingleCellExperiment object with the following slots: Assays: counts: raw counts colData: Cell-level metadata barcodes: The cell barcode fractionMT: Fraction mitochondrial genes per cell n_umi: Total number of UMIs per cell n_gene: Total number of genes per cell log_umi: log10 total number of UMIs per cell g2m_score: Cell cycle phase score for G2M s_score: Cell cycle phase score for S cycle_phase: predicted cell cycle phase celltype_major_full_ct_name: Major cell type full name celltype_major: Major cell type short name celltype_final_full_ct_name: Cell subtype full name celltype_final: Cell subtype short name sample_id rowData: Gene-level metadata gene_ids gene_names Derived data - CyTOF This is an R data set (.RDS) containing a SingleCellExperiment object with the following slots: Assays: counts_raw: signal intensity based on CyTOF dual counts exprs_raw: arcsinh transformed raw counts (cofactor 5) counts: batch corrected raw counts (linear scaling based on a quantile) exprs: arcsin transformed counts (cofactor 5) scaled: 0-1 normalized exprs (clipped to the 99.95th percentile) colData (cell metadata) bc_id: barcode of the sample during staining run: CyTOF experiment batch, named after the first sample of the batch type: Sample type (blood or bone marrow) sample_id: TuPro sample ID pred_id: Predicted cell type [char] pred_n: Predicted cell type [integer] rowData (marker metadata) channel_name: Name and isotopic mass of the metal ion corresponding to this marker marker_name: Protein name channel_group, channel_group_integer: Biological processes the channel identifies, e.g. specific cell type, signalling, cell death tsne_channel: Logical - use this channel for dimensionality reduction? channel_order: Define the order of channels for plotting cluster_channel: Logical - use this channel for clustering?

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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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